id	sid	tid	token	lemma	pos
bracis-33650	1	1	one	one	NUM
bracis-33650	1	2	-	-	PUNCT
bracis-33650	1	3	class	class	NOUN
bracis-33650	1	4	learning	learning	NOUN
bracis-33650	1	5	for	for	ADP
bracis-33650	1	6	 	 	SPACE
bracis-33650	1	7	data	datum	NOUN
bracis-33650	1	8	stream	stream	VERB
bracis-33650	1	9	through	through	ADP
bracis-33650	1	10	graph	graph	NOUN
bracis-33650	1	11	neural	neural	ADJ
bracis-33650	1	12	networks	network	NOUN
bracis-33650	1	13	|	|	ADV
bracis-33650	1	14	springer	springer	NOUN
bracis-33650	1	15	nature	nature	PROPN
bracis-33650	1	16	link	link	PROPN
bracis-33650	1	17	(	(	PUNCT
bracis-33650	1	18	formerly	formerly	ADV
bracis-33650	1	19	springerlink	springerlink	NOUN
bracis-33650	1	20	)	)	PUNCT
bracis-33650	1	21	skip	skip	VERB
bracis-33650	1	22	to	to	ADP
bracis-33650	1	23	main	main	ADJ
bracis-33650	1	24	content	content	NOUN
bracis-33650	1	25	advertisement	advertisement	NOUN
bracis-33650	1	26	log	log	NOUN
bracis-33650	1	27	in	in	ADP
bracis-33650	1	28	menu	menu	NOUN
bracis-33650	1	29	find	find	VERB
bracis-33650	1	30	a	a	DET
bracis-33650	1	31	journal	journal	NOUN
bracis-33650	1	32	publish	publish	VERB
bracis-33650	1	33	with	with	ADP
bracis-33650	1	34	us	we	PRON
bracis-33650	1	35	track	track	VERB
bracis-33650	1	36	your	your	PRON
bracis-33650	1	37	research	research	NOUN
bracis-33650	1	38	search	search	NOUN
bracis-33650	1	39	cart	cart	NOUN
bracis-33650	1	40	home	home	NOUN
bracis-33650	1	41	intelligent	intelligent	ADJ
bracis-33650	1	42	systems	system	NOUN
bracis-33650	1	43	conference	conference	NOUN
bracis-33650	1	44	paper	paper	NOUN
bracis-33650	1	45	one	one	NUM
bracis-33650	1	46	-	-	PUNCT
bracis-33650	1	47	class	class	NOUN
bracis-33650	1	48	learning	learning	NOUN
bracis-33650	1	49	for	for	ADP
bracis-33650	1	50	 	 	SPACE
bracis-33650	1	51	data	datum	NOUN
bracis-33650	1	52	stream	stream	VERB
bracis-33650	1	53	through	through	ADP
bracis-33650	1	54	graph	graph	NOUN
bracis-33650	1	55	neural	neural	ADJ
bracis-33650	1	56	networks	network	NOUN
bracis-33650	1	57	conference	conference	NOUN
bracis-33650	1	58	paper	paper	NOUN
bracis-33650	1	59	first	first	ADV
bracis-33650	1	60	online	online	ADV
bracis-33650	1	61	:	:	PUNCT
bracis-33650	1	62	31	31	NUM
bracis-33650	1	63	january	january	NOUN
bracis-33650	1	64	2025	2025	NUM
bracis-33650	1	65	pp	pp	ADV
bracis-33650	1	66	61–75	61–75	NUM
bracis-33650	1	67	cite	cite	VERB
bracis-33650	1	68	this	this	DET
bracis-33650	1	69	conference	conference	NOUN
bracis-33650	1	70	paper	paper	NOUN
bracis-33650	1	71	access	access	NOUN
bracis-33650	1	72	provided	provide	VERB
bracis-33650	1	73	by	by	ADP
bracis-33650	1	74	university	university	PROPN
bracis-33650	1	75	of	of	ADP
bracis-33650	1	76	notre	notre	PROPN
bracis-33650	1	77	dame	dame	PROPN
bracis-33650	1	78	hesburgh	hesburgh	PROPN
bracis-33650	1	79	library	library	PROPN
bracis-33650	1	80	download	download	PROPN
bracis-33650	1	81	book	book	NOUN
bracis-33650	1	82	pdf	pdf	PROPN
bracis-33650	1	83	download	download	NOUN
bracis-33650	1	84	book	book	NOUN
bracis-33650	1	85	epub	epub	PROPN
bracis-33650	1	86	intelligent	intelligent	ADJ
bracis-33650	1	87	systems	system	NOUN
bracis-33650	1	88	(	(	PUNCT
bracis-33650	1	89	bracis	bracis	NOUN
bracis-33650	1	90	2024	2024	NUM
bracis-33650	1	91	)	)	PUNCT
bracis-33650	1	92	one	one	NUM
bracis-33650	1	93	-	-	PUNCT
bracis-33650	1	94	class	class	NOUN
bracis-33650	1	95	learning	learning	NOUN
bracis-33650	1	96	for	for	ADP
bracis-33650	1	97	 	 	SPACE
bracis-33650	1	98	data	datum	NOUN
bracis-33650	1	99	stream	stream	VERB
bracis-33650	1	100	through	through	ADP
bracis-33650	1	101	graph	graph	NOUN
bracis-33650	1	102	neural	neural	ADJ
bracis-33650	1	103	networks	network	NOUN
bracis-33650	1	104	download	download	NOUN
bracis-33650	1	105	book	book	NOUN
bracis-33650	1	106	pdf	pdf	PROPN
bracis-33650	1	107	download	download	NOUN
bracis-33650	1	108	book	book	PROPN
bracis-33650	1	109	epub	epub	PROPN
bracis-33650	1	110	marcos	marcos	PROPN
bracis-33650	1	111	paulo	paulo	PROPN
bracis-33650	1	112	silva	silva	PROPN
bracis-33650	1	113	gôlo	gôlo	PROPN
bracis-33650	1	114	  	  	SPACE
bracis-33650	1	115	orcid	orcid	NOUN
bracis-33650	1	116	:	:	PUNCT
bracis-33650	1	117	orcid.org/0000-0002-9093-81959	orcid.org/0000-0002-9093-81959	NOUN
bracis-33650	1	118	,	,	PUNCT
bracis-33650	1	119	joão	joão	PROPN
bracis-33650	1	120	gama	gama	PROPN
bracis-33650	1	121	  	  	SPACE
bracis-33650	1	122	orcid	orcid	NOUN
bracis-33650	1	123	:	:	PUNCT
bracis-33650	1	124	orcid.org/0000-0003-3357-119510	orcid.org/0000-0003-3357-119510	PROPN
bracis-33650	1	125	&	&	CCONJ
bracis-33650	1	126	ricardo	ricardo	PROPN
bracis-33650	1	127	marcondes	marconde	NOUN
bracis-33650	1	128	marcacini	marcacini	VERB
bracis-33650	1	129	  	  	SPACE
bracis-33650	1	130	orcid	orcid	NOUN
bracis-33650	1	131	:	:	PUNCT
bracis-33650	1	132	orcid.org/0000-0002-2309-34879	orcid.org/0000-0002-2309-34879	NOUN
bracis-33650	1	133	  	  	SPACE
bracis-33650	1	134	part	part	NOUN
bracis-33650	1	135	of	of	ADP
bracis-33650	1	136	the	the	DET
bracis-33650	1	137	book	book	NOUN
bracis-33650	1	138	series	series	NOUN
bracis-33650	1	139	:	:	PUNCT
bracis-33650	1	140	lecture	lecture	NOUN
bracis-33650	1	141	notes	note	NOUN
bracis-33650	1	142	in	in	ADP
bracis-33650	1	143	computer	computer	NOUN
bracis-33650	1	144	science	science	NOUN
bracis-33650	1	145	(	(	PUNCT
bracis-33650	1	146	(	(	PUNCT
bracis-33650	1	147	lnai	lnai	ADJ
bracis-33650	1	148	,	,	PUNCT
bracis-33650	1	149	volume	volume	NOUN
bracis-33650	1	150	15415	15415	NUM
bracis-33650	1	151	)	)	PUNCT
bracis-33650	1	152	)	)	PUNCT
bracis-33650	1	153	included	include	VERB
bracis-33650	1	154	in	in	ADP
bracis-33650	1	155	the	the	DET
bracis-33650	1	156	following	follow	VERB
bracis-33650	1	157	conference	conference	NOUN
bracis-33650	1	158	series	series	NOUN
bracis-33650	1	159	:	:	PUNCT
bracis-33650	1	160	brazilian	brazilian	ADJ
bracis-33650	1	161	conference	conference	NOUN
bracis-33650	1	162	on	on	ADP
bracis-33650	1	163	intelligent	intelligent	ADJ
bracis-33650	1	164	systems	system	NOUN
bracis-33650	1	165	262	262	NUM
bracis-33650	1	166	accesses	access	NOUN
bracis-33650	1	167	abstract	abstract	ADJ
bracis-33650	1	168	in	in	ADP
bracis-33650	1	169	many	many	ADJ
bracis-33650	1	170	data	datum	NOUN
bracis-33650	1	171	stream	stream	NOUN
bracis-33650	1	172	applications	application	NOUN
bracis-33650	1	173	,	,	PUNCT
bracis-33650	1	174	there	there	PRON
bracis-33650	1	175	is	be	VERB
bracis-33650	1	176	a	a	DET
bracis-33650	1	177	normal	normal	ADJ
bracis-33650	1	178	concept	concept	NOUN
bracis-33650	1	179	,	,	PUNCT
bracis-33650	1	180	and	and	CCONJ
bracis-33650	1	181	the	the	DET
bracis-33650	1	182	objective	objective	NOUN
bracis-33650	1	183	is	be	AUX
bracis-33650	1	184	to	to	PART
bracis-33650	1	185	identify	identify	VERB
bracis-33650	1	186	normal	normal	ADJ
bracis-33650	1	187	and	and	CCONJ
bracis-33650	1	188	abnormal	abnormal	ADJ
bracis-33650	1	189	concepts	concept	NOUN
bracis-33650	1	190	by	by	ADP
bracis-33650	1	191	training	train	VERB
bracis-33650	1	192	only	only	ADV
bracis-33650	1	193	with	with	ADP
bracis-33650	1	194	normal	normal	ADJ
bracis-33650	1	195	concept	concept	NOUN
bracis-33650	1	196	instances	instance	NOUN
bracis-33650	1	197	.	.	PUNCT
bracis-33650	2	1	this	this	DET
bracis-33650	2	2	scenario	scenario	NOUN
bracis-33650	2	3	is	be	AUX
bracis-33650	2	4	known	know	VERB
bracis-33650	2	5	in	in	ADP
bracis-33650	2	6	the	the	DET
bracis-33650	2	7	literature	literature	NOUN
bracis-33650	2	8	as	as	ADP
bracis-33650	2	9	one	one	NUM
bracis-33650	2	10	-	-	PUNCT
bracis-33650	2	11	class	class	NOUN
bracis-33650	2	12	learning	learning	NOUN
bracis-33650	2	13	(	(	PUNCT
bracis-33650	2	14	ocl	ocl	PROPN
bracis-33650	2	15	)	)	PUNCT
bracis-33650	2	16	for	for	ADP
bracis-33650	2	17	data	data	NOUN
bracis-33650	2	18	streams	stream	NOUN
bracis-33650	2	19	.	.	PUNCT
bracis-33650	3	1	in	in	ADP
bracis-33650	3	2	this	this	DET
bracis-33650	3	3	ocl	ocl	PROPN
bracis-33650	3	4	scenario	scenario	NOUN
bracis-33650	3	5	for	for	ADP
bracis-33650	3	6	data	datum	NOUN
bracis-33650	3	7	streams	stream	NOUN
bracis-33650	3	8	,	,	PUNCT
bracis-33650	3	9	we	we	PRON
bracis-33650	3	10	highlight	highlight	VERB
bracis-33650	3	11	two	two	NUM
bracis-33650	3	12	main	main	ADJ
bracis-33650	3	13	gaps	gap	NOUN
bracis-33650	3	14	:	:	PUNCT
bracis-33650	3	15	(	(	PUNCT
bracis-33650	3	16	i	i	NOUN
bracis-33650	3	17	)	)	PUNCT
bracis-33650	3	18	lack	lack	NOUN
bracis-33650	3	19	of	of	ADP
bracis-33650	3	20	methods	method	NOUN
bracis-33650	3	21	based	base	VERB
bracis-33650	3	22	on	on	ADP
bracis-33650	3	23	graph	graph	NOUN
bracis-33650	3	24	neural	neural	ADJ
bracis-33650	3	25	networks	network	NOUN
bracis-33650	3	26	(	(	PUNCT
bracis-33650	3	27	gnns	gnns	NOUN
bracis-33650	3	28	)	)	PUNCT
bracis-33650	3	29	and	and	CCONJ
bracis-33650	3	30	(	(	PUNCT
bracis-33650	3	31	ii	ii	NOUN
bracis-33650	3	32	)	)	PUNCT
bracis-33650	3	33	lack	lack	NOUN
bracis-33650	3	34	of	of	ADP
bracis-33650	3	35	interpretable	interpretable	ADJ
bracis-33650	3	36	methods	method	NOUN
bracis-33650	3	37	.	.	PUNCT
bracis-33650	4	1	we	we	PRON
bracis-33650	4	2	introduce	introduce	VERB
bracis-33650	4	3	opencast	opencast	NOUN
bracis-33650	4	4	(	(	PUNCT
bracis-33650	4	5	one	one	NUM
bracis-33650	4	6	-	-	PUNCT
bracis-33650	4	7	class	class	NOUN
bracis-33650	4	8	graph	graph	NOUN
bracis-33650	4	9	autoencoder	autoencoder	NOUN
bracis-33650	4	10	for	for	ADP
bracis-33650	4	11	data	datum	NOUN
bracis-33650	4	12	stream	stream	NOUN
bracis-33650	4	13	)	)	PUNCT
bracis-33650	4	14	,	,	PUNCT
bracis-33650	4	15	a	a	DET
bracis-33650	4	16	new	new	ADJ
bracis-33650	4	17	method	method	NOUN
bracis-33650	4	18	for	for	ADP
bracis-33650	4	19	data	datum	NOUN
bracis-33650	4	20	streams	stream	NOUN
bracis-33650	4	21	based	base	VERB
bracis-33650	4	22	on	on	ADP
bracis-33650	4	23	ocl	ocl	PROPN
bracis-33650	4	24	and	and	CCONJ
bracis-33650	4	25	gnns	gnns	NOUN
bracis-33650	4	26	.	.	PUNCT
bracis-33650	5	1	our	our	PRON
bracis-33650	5	2	method	method	NOUN
bracis-33650	5	3	learns	learn	VERB
bracis-33650	5	4	representations	representation	NOUN
bracis-33650	5	5	while	while	SCONJ
bracis-33650	5	6	encapsulating	encapsulate	VERB
bracis-33650	5	7	the	the	DET
bracis-33650	5	8	instances	instance	NOUN
bracis-33650	5	9	of	of	ADP
bracis-33650	5	10	interest	interest	NOUN
bracis-33650	5	11	through	through	ADP
bracis-33650	5	12	a	a	DET
bracis-33650	5	13	hypersphere	hypersphere	NOUN
bracis-33650	5	14	.	.	PUNCT
bracis-33650	6	1	opencast	opencast	NOUN
bracis-33650	6	2	learns	learn	VERB
bracis-33650	6	3	low	low	ADJ
bracis-33650	6	4	-	-	PUNCT
bracis-33650	6	5	dimensional	dimensional	ADJ
bracis-33650	6	6	representations	representation	NOUN
bracis-33650	6	7	to	to	PART
bracis-33650	6	8	generate	generate	VERB
bracis-33650	6	9	interpretability	interpretability	NOUN
bracis-33650	6	10	in	in	ADP
bracis-33650	6	11	the	the	DET
bracis-33650	6	12	representation	representation	NOUN
bracis-33650	6	13	learning	learning	NOUN
bracis-33650	6	14	process	process	NOUN
bracis-33650	6	15	.	.	PUNCT
bracis-33650	7	1	opencast	opencast	NOUN
bracis-33650	7	2	achieved	achieve	VERB
bracis-33650	7	3	state	state	NOUN
bracis-33650	7	4	-	-	PUNCT
bracis-33650	7	5	of	of	ADP
bracis-33650	7	6	-	-	PUNCT
bracis-33650	7	7	the	the	DET
bracis-33650	7	8	-	-	PUNCT
bracis-33650	7	9	art	art	NOUN
bracis-33650	7	10	results	result	NOUN
bracis-33650	7	11	for	for	ADP
bracis-33650	7	12	data	datum	NOUN
bracis-33650	7	13	streams	stream	NOUN
bracis-33650	7	14	in	in	ADP
bracis-33650	7	15	the	the	DET
bracis-33650	7	16	ocl	ocl	PROPN
bracis-33650	7	17	scenario	scenario	PROPN
bracis-33650	7	18	,	,	PUNCT
bracis-33650	7	19	outperforming	outperform	VERB
bracis-33650	7	20	seven	seven	NUM
bracis-33650	7	21	other	other	ADJ
bracis-33650	7	22	methods	method	NOUN
bracis-33650	7	23	.	.	PUNCT
bracis-33650	8	1	furthermore	furthermore	ADV
bracis-33650	8	2	,	,	PUNCT
bracis-33650	8	3	opencast	opencast	NOUN
bracis-33650	8	4	learns	learn	VERB
bracis-33650	8	5	low	low	ADJ
bracis-33650	8	6	-	-	PUNCT
bracis-33650	8	7	dimensional	dimensional	ADJ
bracis-33650	8	8	representations	representation	NOUN
bracis-33650	8	9	,	,	PUNCT
bracis-33650	8	10	generating	generate	VERB
bracis-33650	8	11	interpretability	interpretability	NOUN
bracis-33650	8	12	in	in	ADP
bracis-33650	8	13	the	the	DET
bracis-33650	8	14	representation	representation	NOUN
bracis-33650	8	15	learning	learning	NOUN
bracis-33650	8	16	process	process	NOUN
bracis-33650	8	17	and	and	CCONJ
bracis-33650	8	18	results	result	NOUN
bracis-33650	8	19	.	.	PUNCT
bracis-33650	9	1	access	access	NOUN
bracis-33650	9	2	provided	provide	VERB
bracis-33650	9	3	by	by	ADP
bracis-33650	9	4	university	university	PROPN
bracis-33650	9	5	of	of	ADP
bracis-33650	9	6	notre	notre	PROPN
bracis-33650	9	7	dame	dame	PROPN
bracis-33650	9	8	hesburgh	hesburgh	PROPN
bracis-33650	9	9	library	library	PROPN
bracis-33650	9	10	.	.	PUNCT
bracis-33650	10	1	download	download	PROPN
bracis-33650	10	2	conference	conference	NOUN
bracis-33650	10	3	paper	paper	NOUN
bracis-33650	10	4	pdf	pdf	NOUN
bracis-33650	10	5	similar	similar	ADJ
bracis-33650	10	6	content	content	NOUN
bracis-33650	10	7	being	be	AUX
bracis-33650	10	8	viewed	view	VERB
bracis-33650	10	9	by	by	ADP
bracis-33650	10	10	others	other	NOUN
bracis-33650	10	11	online	online	ADJ
bracis-33650	10	12	learning	learn	VERB
bracis-33650	10	13	from	from	ADP
bracis-33650	10	14	capricious	capricious	ADJ
bracis-33650	10	15	data	datum	NOUN
bracis-33650	10	16	streams	stream	NOUN
bracis-33650	10	17	via	via	ADP
bracis-33650	10	18	shared	share	VERB
bracis-33650	10	19	and	and	CCONJ
bracis-33650	10	20	new	new	ADJ
bracis-33650	10	21	feature	feature	NOUN
bracis-33650	10	22	spaces	space	NOUN
bracis-33650	10	23	article	article	NOUN
bracis-33650	11	1	16	16	NUM
bracis-33650	11	2	july	july	PROPN
bracis-33650	11	3	2024	2024	NUM
bracis-33650	11	4	oec	oec	NOUN
bracis-33650	11	5	:	:	PUNCT
bracis-33650	11	6	an	an	DET
bracis-33650	11	7	online	online	ADJ
bracis-33650	11	8	ensemble	ensemble	ADJ
bracis-33650	11	9	classifier	classifier	NOUN
bracis-33650	11	10	for	for	ADP
bracis-33650	11	11	mining	mining	NOUN
bracis-33650	11	12	data	datum	NOUN
bracis-33650	11	13	streams	stream	NOUN
bracis-33650	11	14	with	with	ADP
bracis-33650	11	15	noisy	noisy	ADJ
bracis-33650	11	16	labels	label	NOUN
bracis-33650	11	17	article	article	NOUN
bracis-33650	11	18	12	12	NUM
bracis-33650	11	19	december	december	PROPN
bracis-33650	11	20	2023	2023	NUM
bracis-33650	11	21	adaptive	adaptive	ADJ
bracis-33650	11	22	feature	feature	NOUN
bracis-33650	11	23	generation	generation	NOUN
bracis-33650	11	24	for	for	ADP
bracis-33650	11	25	online	online	ADJ
bracis-33650	11	26	continual	continual	ADJ
bracis-33650	11	27	learning	learning	NOUN
bracis-33650	11	28	from	from	ADP
bracis-33650	11	29	imbalanced	imbalanced	ADJ
bracis-33650	11	30	data	datum	NOUN
bracis-33650	11	31	chapter	chapter	NOUN
bracis-33650	11	32	©	©	PROPN
bracis-33650	11	33	2022	2022	NUM
bracis-33650	11	34	1	1	NUM
bracis-33650	11	35	introduction	introduction	NOUN
bracis-33650	11	36	in	in	ADP
bracis-33650	11	37	many	many	ADJ
bracis-33650	11	38	real	real	ADJ
bracis-33650	11	39	-	-	PUNCT
bracis-33650	11	40	world	world	NOUN
bracis-33650	11	41	applications	application	NOUN
bracis-33650	11	42	,	,	PUNCT
bracis-33650	11	43	data	datum	NOUN
bracis-33650	11	44	arrives	arrive	VERB
bracis-33650	11	45	continuously	continuously	ADV
bracis-33650	11	46	as	as	ADP
bracis-33650	11	47	a	a	DET
bracis-33650	11	48	data	data	NOUN
bracis-33650	11	49	stream	stream	NOUN
bracis-33650	11	50	[	[	X
bracis-33650	11	51	8	8	NUM
bracis-33650	11	52	]	]	PUNCT
bracis-33650	11	53	.	.	PUNCT
bracis-33650	12	1	real	real	ADJ
bracis-33650	12	2	-	-	PUNCT
bracis-33650	12	3	world	world	NOUN
bracis-33650	12	4	applications	application	NOUN
bracis-33650	12	5	of	of	ADP
bracis-33650	12	6	data	datum	NOUN
bracis-33650	12	7	streams	stream	NOUN
bracis-33650	12	8	include	include	VERB
bracis-33650	12	9	the	the	DET
bracis-33650	12	10	areas	area	NOUN
bracis-33650	12	11	of	of	ADP
bracis-33650	12	12	health	health	NOUN
bracis-33650	12	13	[	[	X
bracis-33650	12	14	24	24	NUM
bracis-33650	12	15	]	]	PUNCT
bracis-33650	12	16	,	,	PUNCT
bracis-33650	12	17	fake	fake	ADJ
bracis-33650	12	18	news	news	NOUN
bracis-33650	12	19	detection	detection	NOUN
bracis-33650	12	20	[	[	X
bracis-33650	12	21	25	25	NUM
bracis-33650	12	22	]	]	PUNCT
bracis-33650	12	23	,	,	PUNCT
bracis-33650	12	24	and	and	CCONJ
bracis-33650	12	25	energy	energy	NOUN
bracis-33650	12	26	consumption	consumption	NOUN
bracis-33650	12	27	[	[	X
bracis-33650	12	28	21	21	NUM
bracis-33650	12	29	]	]	PUNCT
bracis-33650	12	30	.	.	PUNCT
bracis-33650	13	1	in	in	ADP
bracis-33650	13	2	some	some	PRON
bracis-33650	13	3	of	of	ADP
bracis-33650	13	4	these	these	DET
bracis-33650	13	5	applications	application	NOUN
bracis-33650	13	6	,	,	PUNCT
bracis-33650	13	7	there	there	PRON
bracis-33650	13	8	is	be	VERB
bracis-33650	13	9	a	a	DET
bracis-33650	13	10	known	know	VERB
bracis-33650	13	11	class	class	NOUN
bracis-33650	13	12	or	or	CCONJ
bracis-33650	13	13	normal	normal	ADJ
bracis-33650	13	14	concept	concept	NOUN
bracis-33650	13	15	(	(	PUNCT
bracis-33650	13	16	positive	positive	ADJ
bracis-33650	13	17	class	class	NOUN
bracis-33650	13	18	)	)	PUNCT
bracis-33650	13	19	,	,	PUNCT
bracis-33650	13	20	and	and	CCONJ
bracis-33650	13	21	the	the	DET
bracis-33650	13	22	objective	objective	NOUN
bracis-33650	13	23	is	be	AUX
bracis-33650	13	24	to	to	PART
bracis-33650	13	25	identify	identify	VERB
bracis-33650	13	26	between	between	ADP
bracis-33650	13	27	the	the	DET
bracis-33650	13	28	known	know	VERB
bracis-33650	13	29	and	and	CCONJ
bracis-33650	13	30	unknown	unknown	ADJ
bracis-33650	13	31	class	class	NOUN
bracis-33650	13	32	by	by	ADP
bracis-33650	13	33	training	training	NOUN
bracis-33650	13	34	only	only	ADV
bracis-33650	13	35	with	with	ADP
bracis-33650	13	36	instances	instance	NOUN
bracis-33650	13	37	of	of	ADP
bracis-33650	13	38	the	the	DET
bracis-33650	13	39	known	know	VERB
bracis-33650	13	40	class	class	NOUN
bracis-33650	14	1	[	[	X
bracis-33650	14	2	9	9	NUM
bracis-33650	14	3	]	]	PUNCT
bracis-33650	14	4	.	.	PUNCT
bracis-33650	15	1	usually	usually	ADV
bracis-33650	15	2	,	,	PUNCT
bracis-33650	15	3	this	this	DET
bracis-33650	15	4	problem	problem	NOUN
bracis-33650	15	5	is	be	AUX
bracis-33650	15	6	solved	solve	VERB
bracis-33650	15	7	through	through	ADP
bracis-33650	15	8	one	one	NUM
bracis-33650	15	9	-	-	PUNCT
bracis-33650	15	10	class	class	NOUN
bracis-33650	15	11	learning	learning	NOUN
bracis-33650	15	12	(	(	PUNCT
bracis-33650	15	13	ocl)footnote	ocl)footnote	NOUN
bracis-33650	15	14	1	1	NUM
bracis-33650	16	1	[	[	X
bracis-33650	16	2	9	9	NUM
bracis-33650	16	3	,	,	PUNCT
bracis-33650	16	4	25	25	NUM
bracis-33650	16	5	]	]	PUNCT
bracis-33650	16	6	.	.	PUNCT
bracis-33650	17	1	ocl	ocl	PROPN
bracis-33650	17	2	is	be	AUX
bracis-33650	17	3	already	already	ADV
bracis-33650	17	4	commonly	commonly	ADV
bracis-33650	17	5	used	use	VERB
bracis-33650	17	6	in	in	ADP
bracis-33650	17	7	the	the	DET
bracis-33650	17	8	data	datum	NOUN
bracis-33650	17	9	stream	stream	NOUN
bracis-33650	17	10	field	field	NOUN
bracis-33650	17	11	in	in	ADP
bracis-33650	17	12	novelty	novelty	NOUN
bracis-33650	17	13	detection	detection	NOUN
bracis-33650	17	14	,	,	PUNCT
bracis-33650	17	15	anomaly	anomaly	NOUN
bracis-33650	17	16	detection	detection	NOUN
bracis-33650	17	17	,	,	PUNCT
bracis-33650	17	18	and	and	CCONJ
bracis-33650	17	19	class	class	NOUN
bracis-33650	17	20	of	of	ADP
bracis-33650	17	21	interest	interest	NOUN
bracis-33650	17	22	detection	detection	NOUN
bracis-33650	17	23	applications	application	NOUN
bracis-33650	17	24	[	[	X
bracis-33650	17	25	9	9	NUM
bracis-33650	17	26	,	,	PUNCT
bracis-33650	17	27	23	23	NUM
bracis-33650	17	28	]	]	PUNCT
bracis-33650	17	29	.	.	PUNCT
bracis-33650	18	1	studies	study	NOUN
bracis-33650	18	2	explore	explore	VERB
bracis-33650	18	3	from	from	ADP
bracis-33650	18	4	the	the	DET
bracis-33650	18	5	most	most	ADV
bracis-33650	18	6	classic	classic	ADJ
bracis-33650	18	7	ocl	ocl	PROPN
bracis-33650	18	8	algorithms	algorithm	NOUN
bracis-33650	18	9	[	[	X
bracis-33650	18	10	14	14	NUM
bracis-33650	18	11	]	]	PUNCT
bracis-33650	18	12	to	to	ADP
bracis-33650	18	13	some	some	DET
bracis-33650	18	14	more	more	ADV
bracis-33650	18	15	sophisticated	sophisticated	ADJ
bracis-33650	18	16	ones	one	NOUN
bracis-33650	18	17	based	base	VERB
bracis-33650	18	18	on	on	ADP
bracis-33650	18	19	clustering	cluster	VERB
bracis-33650	18	20	[	[	X
bracis-33650	18	21	18	18	NUM
bracis-33650	18	22	]	]	PUNCT
bracis-33650	18	23	to	to	PART
bracis-33650	18	24	solve	solve	VERB
bracis-33650	18	25	data	datum	NOUN
bracis-33650	18	26	stream	stream	NOUN
bracis-33650	18	27	tasks	task	NOUN
bracis-33650	18	28	.	.	PUNCT
bracis-33650	19	1	the	the	DET
bracis-33650	19	2	use	use	NOUN
bracis-33650	19	3	of	of	ADP
bracis-33650	19	4	clustering	clustering	ADJ
bracis-33650	19	5	strategies	strategy	NOUN
bracis-33650	19	6	comes	come	VERB
bracis-33650	19	7	from	from	ADP
bracis-33650	19	8	the	the	DET
bracis-33650	19	9	unsupervised	unsupervised	ADJ
bracis-33650	19	10	characteristic	characteristic	NOUN
bracis-33650	19	11	of	of	ADP
bracis-33650	19	12	generating	generate	VERB
bracis-33650	19	13	clusters	cluster	NOUN
bracis-33650	19	14	to	to	PART
bracis-33650	19	15	improve	improve	VERB
bracis-33650	19	16	the	the	DET
bracis-33650	19	17	challenging	challenging	ADJ
bracis-33650	19	18	ocl	ocl	PROPN
bracis-33650	19	19	task	task	NOUN
bracis-33650	19	20	of	of	ADP
bracis-33650	19	21	training	training	NOUN
bracis-33650	19	22	with	with	ADP
bracis-33650	19	23	only	only	ADV
bracis-33650	19	24	one	one	NUM
bracis-33650	19	25	class	class	NOUN
bracis-33650	19	26	and	and	CCONJ
bracis-33650	19	27	then	then	ADV
bracis-33650	19	28	classifying	classify	VERB
bracis-33650	19	29	two	two	NUM
bracis-33650	19	30	.	.	PUNCT
bracis-33650	20	1	we	we	PRON
bracis-33650	20	2	highlight	highlight	VERB
bracis-33650	20	3	two	two	NUM
bracis-33650	20	4	main	main	ADJ
bracis-33650	20	5	gaps	gap	NOUN
bracis-33650	20	6	in	in	ADP
bracis-33650	20	7	the	the	DET
bracis-33650	20	8	area	area	NOUN
bracis-33650	20	9	of	of	ADP
bracis-33650	20	10	ocl	ocl	PROPN
bracis-33650	20	11	for	for	ADP
bracis-33650	20	12	data	datum	NOUN
bracis-33650	20	13	stream	stream	NOUN
bracis-33650	20	14	.	.	PUNCT
bracis-33650	21	1	first	first	ADV
bracis-33650	21	2	,	,	PUNCT
bracis-33650	21	3	there	there	PRON
bracis-33650	21	4	is	be	VERB
bracis-33650	21	5	a	a	DET
bracis-33650	21	6	lack	lack	NOUN
bracis-33650	21	7	of	of	ADP
bracis-33650	21	8	methods	method	NOUN
bracis-33650	21	9	based	base	VERB
bracis-33650	21	10	on	on	ADP
bracis-33650	21	11	graph	graph	NOUN
bracis-33650	21	12	neural	neural	ADJ
bracis-33650	21	13	networks	network	NOUN
bracis-33650	21	14	(	(	PUNCT
bracis-33650	21	15	gnns	gnns	NOUN
bracis-33650	21	16	)	)	PUNCT
bracis-33650	21	17	.	.	PUNCT
bracis-33650	22	1	gnns	gnns	PROPN
bracis-33650	22	2	arrive	arrive	VERB
bracis-33650	22	3	with	with	ADP
bracis-33650	22	4	the	the	DET
bracis-33650	22	5	same	same	ADJ
bracis-33650	22	6	principle	principle	NOUN
bracis-33650	22	7	as	as	ADP
bracis-33650	22	8	cluster	cluster	NOUN
bracis-33650	22	9	-	-	PUNCT
bracis-33650	22	10	based	base	VERB
bracis-33650	22	11	methods	method	NOUN
bracis-33650	22	12	,	,	PUNCT
bracis-33650	22	13	i.e.	i.e.	X
bracis-33650	22	14	,	,	PUNCT
bracis-33650	22	15	exploring	explore	VERB
bracis-33650	22	16	the	the	DET
bracis-33650	22	17	unsupervised	unsupervised	ADJ
bracis-33650	22	18	part	part	NOUN
bracis-33650	22	19	of	of	ADP
bracis-33650	22	20	the	the	DET
bracis-33650	22	21	graph	graph	NOUN
bracis-33650	22	22	(	(	PUNCT
bracis-33650	22	23	relations	relation	NOUN
bracis-33650	22	24	)	)	PUNCT
bracis-33650	22	25	through	through	ADP
bracis-33650	22	26	graph	graph	NOUN
bracis-33650	22	27	autoencoders	autoencoder	NOUN
bracis-33650	22	28	[	[	X
bracis-33650	22	29	7	7	NUM
bracis-33650	22	30	]	]	PUNCT
bracis-33650	22	31	.	.	PUNCT
bracis-33650	23	1	gnns	gnns	PROPN
bracis-33650	23	2	have	have	AUX
bracis-33650	23	3	already	already	ADV
bracis-33650	23	4	been	be	AUX
bracis-33650	23	5	used	use	VERB
bracis-33650	23	6	in	in	ADP
bracis-33650	23	7	data	data	NOUN
bracis-33650	23	8	streams	stream	NOUN
bracis-33650	23	9	[	[	X
bracis-33650	23	10	5	5	NUM
bracis-33650	23	11	]	]	PUNCT
bracis-33650	23	12	and	and	CCONJ
bracis-33650	23	13	ocl	ocl	PROPN
bracis-33650	24	1	[	[	X
bracis-33650	24	2	30	30	NUM
bracis-33650	24	3	]	]	PUNCT
bracis-33650	24	4	,	,	PUNCT
bracis-33650	24	5	but	but	CCONJ
bracis-33650	24	6	to	to	ADP
bracis-33650	24	7	the	the	DET
bracis-33650	24	8	best	good	ADJ
bracis-33650	24	9	of	of	ADP
bracis-33650	24	10	our	our	PRON
bracis-33650	24	11	knowledge	knowledge	NOUN
bracis-33650	24	12	,	,	PUNCT
bracis-33650	24	13	not	not	PART
bracis-33650	24	14	for	for	ADP
bracis-33650	24	15	both	both	DET
bracis-33650	24	16	areas	area	NOUN
bracis-33650	24	17	.	.	PUNCT
bracis-33650	25	1	the	the	DET
bracis-33650	25	2	other	other	ADJ
bracis-33650	25	3	gap	gap	NOUN
bracis-33650	25	4	is	be	AUX
bracis-33650	25	5	the	the	DET
bracis-33650	25	6	lack	lack	NOUN
bracis-33650	25	7	of	of	ADP
bracis-33650	25	8	interpretable	interpretable	ADJ
bracis-33650	25	9	ocl	ocl	PROPN
bracis-33650	25	10	methods	method	NOUN
bracis-33650	25	11	for	for	ADP
bracis-33650	25	12	data	datum	NOUN
bracis-33650	25	13	streams	stream	NOUN
bracis-33650	25	14	.	.	PUNCT
bracis-33650	26	1	interpretability	interpretability	NOUN
bracis-33650	26	2	is	be	AUX
bracis-33650	26	3	gaining	gain	VERB
bracis-33650	26	4	more	more	ADJ
bracis-33650	26	5	attention	attention	NOUN
bracis-33650	26	6	in	in	ADP
bracis-33650	26	7	data	data	NOUN
bracis-33650	26	8	streams	stream	NOUN
bracis-33650	26	9	and	and	CCONJ
bracis-33650	26	10	other	other	ADJ
bracis-33650	26	11	areas	area	NOUN
bracis-33650	26	12	[	[	X
bracis-33650	26	13	12	12	NUM
bracis-33650	26	14	]	]	PUNCT
bracis-33650	26	15	,	,	PUNCT
bracis-33650	26	16	mainly	mainly	ADV
bracis-33650	26	17	in	in	ADP
bracis-33650	26	18	interpretability	interpretability	NOUN
bracis-33650	26	19	related	relate	VERB
bracis-33650	26	20	to	to	ADP
bracis-33650	26	21	the	the	DET
bracis-33650	26	22	representation	representation	NOUN
bracis-33650	26	23	learning	learning	NOUN
bracis-33650	26	24	process	process	NOUN
bracis-33650	26	25	[	[	X
bracis-33650	26	26	11	11	NUM
bracis-33650	26	27	]	]	PUNCT
bracis-33650	26	28	.	.	PUNCT
bracis-33650	27	1	one	one	NUM
bracis-33650	27	2	of	of	ADP
bracis-33650	27	3	the	the	DET
bracis-33650	27	4	ways	way	NOUN
bracis-33650	27	5	to	to	PART
bracis-33650	27	6	provide	provide	VERB
bracis-33650	27	7	this	this	DET
bracis-33650	27	8	interpretability	interpretability	NOUN
bracis-33650	27	9	is	be	AUX
bracis-33650	27	10	to	to	PART
bracis-33650	27	11	focus	focus	VERB
bracis-33650	27	12	on	on	ADP
bracis-33650	27	13	the	the	DET
bracis-33650	27	14	learned	learn	VERB
bracis-33650	27	15	latent	latent	NOUN
bracis-33650	27	16	space	space	NOUN
bracis-33650	27	17	,	,	PUNCT
bracis-33650	27	18	i.e.	i.e.	X
bracis-33650	27	19	,	,	PUNCT
bracis-33650	27	20	to	to	PART
bracis-33650	27	21	produce	produce	VERB
bracis-33650	27	22	low	low	ADJ
bracis-33650	27	23	-	-	PUNCT
bracis-33650	27	24	dimensional	dimensional	ADJ
bracis-33650	27	25	representations	representation	NOUN
bracis-33650	27	26	inherently	inherently	ADV
bracis-33650	27	27	[	[	X
bracis-33650	27	28	22	22	NUM
bracis-33650	27	29	]	]	PUNCT
bracis-33650	27	30	.	.	PUNCT
bracis-33650	28	1	it	it	PRON
bracis-33650	28	2	is	be	AUX
bracis-33650	28	3	important	important	ADJ
bracis-33650	28	4	to	to	PART
bracis-33650	28	5	emphasize	emphasize	VERB
bracis-33650	28	6	that	that	SCONJ
bracis-33650	28	7	we	we	PRON
bracis-33650	28	8	are	be	AUX
bracis-33650	28	9	not	not	PART
bracis-33650	28	10	writing	write	VERB
bracis-33650	28	11	about	about	ADP
bracis-33650	28	12	methods	method	NOUN
bracis-33650	28	13	that	that	PRON
bracis-33650	28	14	generate	generate	VERB
bracis-33650	28	15	low	low	ADJ
bracis-33650	28	16	dimensions	dimension	NOUN
bracis-33650	28	17	after	after	ADP
bracis-33650	28	18	learning	learn	VERB
bracis-33650	28	19	,	,	PUNCT
bracis-33650	28	20	such	such	ADJ
bracis-33650	28	21	as	as	ADP
bracis-33650	28	22	pca	pca	PROPN
bracis-33650	28	23	and	and	CCONJ
bracis-33650	28	24	t	t	PROPN
bracis-33650	28	25	-	-	PUNCT
bracis-33650	28	26	sne	sne	NOUN
bracis-33650	28	27	,	,	PUNCT
bracis-33650	28	28	but	but	CCONJ
bracis-33650	28	29	rather	rather	ADV
bracis-33650	28	30	methods	method	NOUN
bracis-33650	28	31	that	that	PRON
bracis-33650	28	32	generate	generate	VERB
bracis-33650	28	33	latent	latent	NOUN
bracis-33650	28	34	representations	representation	NOUN
bracis-33650	28	35	that	that	PRON
bracis-33650	28	36	can	can	AUX
bracis-33650	28	37	be	be	AUX
bracis-33650	28	38	visualized	visualize	VERB
bracis-33650	28	39	at	at	ADP
bracis-33650	28	40	each	each	DET
bracis-33650	28	41	learning	learn	VERB
bracis-33650	28	42	epoch	epoch	NOUN
bracis-33650	28	43	,	,	PUNCT
bracis-33650	28	44	i.e.	i.e.	X
bracis-33650	28	45	,	,	PUNCT
bracis-33650	28	46	enabling	enable	VERB
bracis-33650	28	47	an	an	DET
bracis-33650	28	48	interpretation	interpretation	NOUN
bracis-33650	28	49	of	of	ADP
bracis-33650	28	50	the	the	DET
bracis-33650	28	51	model	model	NOUN
bracis-33650	28	52	’s	’s	PART
bracis-33650	28	53	learning	learning	NOUN
bracis-33650	28	54	in	in	ADP
bracis-33650	28	55	real	real	ADJ
bracis-33650	28	56	-	-	PUNCT
bracis-33650	28	57	time	time	NOUN
bracis-33650	28	58	during	during	ADP
bracis-33650	28	59	training	training	NOUN
bracis-33650	28	60	.	.	PUNCT
bracis-33650	29	1	we	we	PRON
bracis-33650	29	2	propose	propose	VERB
bracis-33650	29	3	opencast	opencast	NOUN
bracis-33650	29	4	(	(	PUNCT
bracis-33650	29	5	one	one	NUM
bracis-33650	29	6	-	-	PUNCT
bracis-33650	29	7	class	class	NOUN
bracis-33650	29	8	graph	graph	NOUN
bracis-33650	29	9	autoencoder	autoencoder	NOUN
bracis-33650	29	10	for	for	ADP
bracis-33650	29	11	data	datum	NOUN
bracis-33650	29	12	stream	stream	NOUN
bracis-33650	29	13	)	)	PUNCT
bracis-33650	29	14	,	,	PUNCT
bracis-33650	29	15	a	a	DET
bracis-33650	29	16	new	new	ADJ
bracis-33650	29	17	method	method	NOUN
bracis-33650	29	18	for	for	ADP
bracis-33650	29	19	data	datum	NOUN
bracis-33650	29	20	stream	stream	NOUN
bracis-33650	29	21	based	base	VERB
bracis-33650	29	22	on	on	ADP
bracis-33650	29	23	ocl	ocl	PROPN
bracis-33650	29	24	and	and	CCONJ
bracis-33650	29	25	gnns	gnn	NOUN
bracis-33650	29	26	.	.	PUNCT
bracis-33650	30	1	opencast	opencast	NOUN
bracis-33650	30	2	is	be	AUX
bracis-33650	30	3	based	base	VERB
bracis-33650	30	4	on	on	ADP
bracis-33650	30	5	a	a	DET
bracis-33650	30	6	gnn	gnn	NOUN
bracis-33650	30	7	layer	layer	NOUN
bracis-33650	30	8	called	call	VERB
bracis-33650	30	9	faconv	faconv	NOUN
bracis-33650	30	10	,	,	PUNCT
bracis-33650	30	11	created	create	VERB
bracis-33650	30	12	for	for	ADP
bracis-33650	30	13	heterophilic	heterophilic	ADJ
bracis-33650	30	14	graphs	graph	NOUN
bracis-33650	30	15	[	[	X
bracis-33650	30	16	3	3	NUM
bracis-33650	30	17	]	]	PUNCT
bracis-33650	30	18	.	.	PUNCT
bracis-33650	31	1	we	we	PRON
bracis-33650	31	2	chose	choose	VERB
bracis-33650	31	3	this	this	DET
bracis-33650	31	4	layer	layer	NOUN
bracis-33650	31	5	due	due	ADP
bracis-33650	31	6	to	to	ADP
bracis-33650	31	7	the	the	DET
bracis-33650	31	8	natural	natural	ADJ
bracis-33650	31	9	concept	concept	NOUN
bracis-33650	31	10	of	of	ADP
bracis-33650	31	11	drift	drift	NOUN
bracis-33650	31	12	in	in	ADP
bracis-33650	31	13	data	datum	NOUN
bracis-33650	31	14	stream	stream	NOUN
bracis-33650	31	15	problems	problem	NOUN
bracis-33650	31	16	(	(	PUNCT
bracis-33650	31	17	concept	concept	NOUN
bracis-33650	31	18	of	of	ADP
bracis-33650	31	19	changing	change	VERB
bracis-33650	31	20	class	class	NOUN
bracis-33650	31	21	characteristics	characteristic	NOUN
bracis-33650	31	22	)	)	PUNCT
bracis-33650	31	23	,	,	PUNCT
bracis-33650	31	24	which	which	PRON
bracis-33650	31	25	can	can	AUX
bracis-33650	31	26	generate	generate	VERB
bracis-33650	31	27	abnormal	abnormal	ADJ
bracis-33650	31	28	relations	relation	NOUN
bracis-33650	31	29	between	between	ADP
bracis-33650	31	30	entities	entity	NOUN
bracis-33650	31	31	of	of	ADP
bracis-33650	31	32	interest	interest	NOUN
bracis-33650	31	33	and	and	CCONJ
bracis-33650	31	34	non	non	ADJ
bracis-33650	31	35	-	-	ADJ
bracis-33650	31	36	interest	interest	ADJ
bracis-33650	31	37	class	class	NOUN
bracis-33650	31	38	(	(	PUNCT
bracis-33650	31	39	concept	concept	NOUN
bracis-33650	31	40	of	of	ADP
bracis-33650	31	41	heterophile	heterophile	NOUN
bracis-33650	31	42	)	)	PUNCT
bracis-33650	31	43	.	.	PUNCT
bracis-33650	32	1	opencast	opencast	NOUN
bracis-33650	32	2	is	be	AUX
bracis-33650	32	3	based	base	VERB
bracis-33650	32	4	on	on	ADP
bracis-33650	32	5	the	the	DET
bracis-33650	32	6	state	state	NOUN
bracis-33650	32	7	-	-	PUNCT
bracis-33650	32	8	of	of	ADP
bracis-33650	32	9	-	-	PUNCT
bracis-33650	32	10	the	the	DET
bracis-33650	32	11	-	-	PUNCT
bracis-33650	32	12	art	art	NOUN
bracis-33650	32	13	(	(	PUNCT
bracis-33650	32	14	sota	sota	NOUN
bracis-33650	32	15	)	)	PUNCT
bracis-33650	32	16	hypersphere	hypersphere	NOUN
bracis-33650	32	17	loss	loss	NOUN
bracis-33650	32	18	function	function	NOUN
bracis-33650	32	19	for	for	ADP
bracis-33650	32	20	gnns	gnns	NOUN
bracis-33650	32	21	and	and	CCONJ
bracis-33650	32	22	ocl	ocl	PROPN
bracis-33650	33	1	[	[	X
bracis-33650	33	2	11	11	NUM
bracis-33650	33	3	]	]	PUNCT
bracis-33650	33	4	.	.	PUNCT
bracis-33650	34	1	furthermore	furthermore	ADV
bracis-33650	34	2	,	,	PUNCT
bracis-33650	34	3	to	to	PART
bracis-33650	34	4	explore	explore	VERB
bracis-33650	34	5	the	the	DET
bracis-33650	34	6	concept	concept	NOUN
bracis-33650	34	7	of	of	ADP
bracis-33650	34	8	non	non	ADJ
bracis-33650	34	9	-	-	NOUN
bracis-33650	34	10	supervision	supervision	NOUN
bracis-33650	34	11	to	to	PART
bracis-33650	34	12	support	support	VERB
bracis-33650	34	13	the	the	DET
bracis-33650	34	14	ocl	ocl	PROPN
bracis-33650	34	15	task	task	PROPN
bracis-33650	34	16	,	,	PUNCT
bracis-33650	34	17	opencast	opencast	NOUN
bracis-33650	34	18	uses	use	VERB
bracis-33650	34	19	a	a	DET
bracis-33650	34	20	reconstruction	reconstruction	NOUN
bracis-33650	34	21	loss	loss	NOUN
bracis-33650	34	22	function	function	NOUN
bracis-33650	34	23	of	of	ADP
bracis-33650	34	24	graph	graph	NOUN
bracis-33650	34	25	autoencoders	autoencoder	NOUN
bracis-33650	34	26	[	[	X
bracis-33650	34	27	32	32	NUM
bracis-33650	34	28	]	]	PUNCT
bracis-33650	34	29	.	.	PUNCT
bracis-33650	35	1	we	we	PRON
bracis-33650	35	2	introduce	introduce	VERB
bracis-33650	35	3	a	a	DET
bracis-33650	35	4	new	new	ADJ
bracis-33650	35	5	strategy	strategy	NOUN
bracis-33650	35	6	in	in	ADP
bracis-33650	35	7	the	the	DET
bracis-33650	35	8	field	field	NOUN
bracis-33650	35	9	of	of	ADP
bracis-33650	35	10	gnns	gnns	PROPN
bracis-33650	35	11	and	and	CCONJ
bracis-33650	35	12	ocl	ocl	PROPN
bracis-33650	35	13	,	,	PUNCT
bracis-33650	35	14	which	which	PRON
bracis-33650	35	15	is	be	AUX
bracis-33650	35	16	to	to	PART
bracis-33650	35	17	weigh	weigh	VERB
bracis-33650	35	18	the	the	DET
bracis-33650	35	19	loss	loss	NOUN
bracis-33650	35	20	functions	function	NOUN
bracis-33650	35	21	through	through	ADP
bracis-33650	35	22	a	a	DET
bracis-33650	35	23	parameter	parameter	NOUN
bracis-33650	35	24	to	to	PART
bracis-33650	35	25	deal	deal	VERB
bracis-33650	35	26	with	with	ADP
bracis-33650	35	27	the	the	DET
bracis-33650	35	28	concept	concept	NOUN
bracis-33650	35	29	of	of	ADP
bracis-33650	35	30	drift	drift	NOUN
bracis-33650	35	31	.	.	PUNCT
bracis-33650	36	1	finally	finally	ADV
bracis-33650	36	2	,	,	PUNCT
bracis-33650	36	3	we	we	PRON
bracis-33650	36	4	explicitly	explicitly	ADV
bracis-33650	36	5	learn	learn	VERB
bracis-33650	36	6	low	low	ADJ
bracis-33650	36	7	-	-	PUNCT
bracis-33650	36	8	dimensional	dimensional	ADJ
bracis-33650	36	9	representations	representation	NOUN
bracis-33650	36	10	to	to	PART
bracis-33650	36	11	introduce	introduce	VERB
bracis-33650	36	12	interpretability	interpretability	NOUN
bracis-33650	36	13	into	into	ADP
bracis-33650	36	14	opencast	opencast	NOUN
bracis-33650	36	15	naturally	naturally	ADV
bracis-33650	36	16	.	.	PUNCT
bracis-33650	37	1	in	in	ADP
bracis-33650	37	2	summary	summary	NOUN
bracis-33650	37	3	,	,	PUNCT
bracis-33650	37	4	our	our	PRON
bracis-33650	37	5	contributions	contribution	NOUN
bracis-33650	37	6	are	be	AUX
bracis-33650	37	7	:	:	PUNCT
bracis-33650	37	8	1	1	X
bracis-33650	37	9	.	.	X
bracis-33650	38	1	we	we	PRON
bracis-33650	38	2	propose	propose	VERB
bracis-33650	38	3	opencast	opencast	NOUN
bracis-33650	38	4	,	,	PUNCT
bracis-33650	38	5	a	a	DET
bracis-33650	38	6	novel	novel	ADJ
bracis-33650	38	7	method	method	NOUN
bracis-33650	38	8	for	for	ADP
bracis-33650	38	9	ocl	ocl	PROPN
bracis-33650	38	10	in	in	ADP
bracis-33650	38	11	data	datum	NOUN
bracis-33650	38	12	streams	stream	NOUN
bracis-33650	38	13	;	;	PUNCT
bracis-33650	38	14	2	2	X
bracis-33650	38	15	.	.	X
bracis-33650	38	16	we	we	PRON
bracis-33650	38	17	show	show	VERB
bracis-33650	38	18	that	that	SCONJ
bracis-33650	38	19	learning	learn	VERB
bracis-33650	38	20	low	low	ADJ
bracis-33650	38	21	dimensional	dimensional	ADJ
bracis-33650	38	22	representations	representation	NOUN
bracis-33650	38	23	by	by	ADP
bracis-33650	38	24	opencast	opencast	NOUN
bracis-33650	38	25	generates	generate	VERB
bracis-33650	38	26	interpretability	interpretability	NOUN
bracis-33650	38	27	for	for	ADP
bracis-33650	38	28	ocl	ocl	PROPN
bracis-33650	38	29	in	in	ADP
bracis-33650	38	30	data	datum	NOUN
bracis-33650	38	31	streams	stream	NOUN
bracis-33650	38	32	without	without	ADP
bracis-33650	38	33	losing	lose	VERB
bracis-33650	38	34	performance	performance	NOUN
bracis-33650	38	35	;	;	PUNCT
bracis-33650	38	36	3	3	X
bracis-33650	38	37	.	.	X
bracis-33650	38	38	opencast	opencast	NOUN
bracis-33650	38	39	obtains	obtain	VERB
bracis-33650	38	40	sota	sota	NOUN
bracis-33650	38	41	results	result	NOUN
bracis-33650	38	42	for	for	ADP
bracis-33650	38	43	data	datum	NOUN
bracis-33650	38	44	streams	stream	NOUN
bracis-33650	38	45	against	against	ADP
bracis-33650	38	46	ocl	ocl	PROPN
bracis-33650	38	47	methods	method	NOUN
bracis-33650	38	48	.	.	PUNCT
bracis-33650	39	1	2	2	NUM
bracis-33650	39	2	problem	problem	NOUN
bracis-33650	39	3	formulation	formulation	NOUN
bracis-33650	39	4	and	and	CCONJ
bracis-33650	39	5	 	 	SPACE
bracis-33650	39	6	background	background	NOUN
bracis-33650	39	7	we	we	PRON
bracis-33650	39	8	assume	assume	VERB
bracis-33650	39	9	that	that	SCONJ
bracis-33650	39	10	the	the	DET
bracis-33650	39	11	data	data	NOUN
bracis-33650	39	12	stream	stream	NOUN
bracis-33650	39	13	problem	problem	NOUN
bracis-33650	39	14	is	be	AUX
bracis-33650	39	15	divided	divide	VERB
bracis-33650	39	16	into	into	ADP
bracis-33650	39	17	chunks	chunk	NOUN
bracis-33650	39	18	(	(	PUNCT
bracis-33650	39	19	sliding	slide	VERB
bracis-33650	39	20	window	window	NOUN
bracis-33650	39	21	strategy	strategy	NOUN
bracis-33650	40	1	[	[	X
bracis-33650	40	2	8	8	NUM
bracis-33650	40	3	]	]	NUM
bracis-33650	40	4	)	)	PUNCT
bracis-33650	40	5	.	.	PUNCT
bracis-33650	41	1	\(\mathcal{d}\mathcal{s	\(\mathcal{d}\mathcal{s	ADJ
bracis-33650	41	2	}	}	PUNCT
bracis-33650	41	3	=	=	SYM
bracis-33650	41	4	\{\mathcal{d}\mathcal{s}_0,\mathcal{d}\mathcal{s}_1,	\{\mathcal{d}\mathcal{s}_0,\mathcal{d}\mathcal{s}_1,	NUM
bracis-33650	41	5	...	...	PUNCT
bracis-33650	41	6	,\mathcal{d}\mathcal{s}_m\}\	,\mathcal{d}\mathcal{s}_m\}\	PUNCT
bracis-33650	41	7	)	)	PUNCT
bracis-33650	41	8	consists	consist	VERB
bracis-33650	41	9	of	of	ADP
bracis-33650	41	10	the	the	DET
bracis-33650	41	11	set	set	NOUN
bracis-33650	41	12	of	of	ADP
bracis-33650	41	13	\(m+1\	\(m+1\	NOUN
bracis-33650	41	14	)	)	PUNCT
bracis-33650	41	15	chunks	chunk	VERB
bracis-33650	41	16	\(\mathcal{d}\mathcal{s}_i\	\(\mathcal{d}\mathcal{s}_i\	NOUN
bracis-33650	41	17	)	)	PUNCT
bracis-33650	41	18	of	of	ADP
bracis-33650	41	19	the	the	DET
bracis-33650	41	20	dataset	dataset	NOUN
bracis-33650	41	21	,	,	PUNCT
bracis-33650	41	22	where	where	SCONJ
bracis-33650	41	23	\(\{(x_0	\(\{(x_0	NOUN
bracis-33650	41	24	,	,	PUNCT
bracis-33650	41	25	y_0	y_0	PROPN
bracis-33650	41	26	)	)	PUNCT
bracis-33650	41	27	,	,	PUNCT
bracis-33650	41	28	(	(	PUNCT
bracis-33650	41	29	x_1	x_1	PROPN
bracis-33650	41	30	,	,	PUNCT
bracis-33650	41	31	y_1	y_1	PROPN
bracis-33650	41	32	)	)	PUNCT
bracis-33650	41	33	,	,	PUNCT
bracis-33650	41	34	...	...	PUNCT
bracis-33650	41	35	,	,	PUNCT
bracis-33650	41	36	(	(	PUNCT
bracis-33650	41	37	x_n	x_n	PROPN
bracis-33650	41	38	,	,	PUNCT
bracis-33650	41	39	y_n	y_n	SYM
bracis-33650	41	40	)	)	PUNCT
bracis-33650	41	41	\in	\in	PROPN
bracis-33650	41	42	\mathcal{d}\mathcal{s}_i\	\mathcal{d}\mathcal{s}_i\	NOUN
bracis-33650	41	43	)	)	PUNCT
bracis-33650	41	44	are	be	AUX
bracis-33650	41	45	the	the	DET
bracis-33650	41	46	\(n+1\	\(n+1\	NOUN
bracis-33650	41	47	)	)	PUNCT
bracis-33650	41	48	instances	instance	NOUN
bracis-33650	41	49	of	of	ADP
bracis-33650	41	50	chunk	chunk	NOUN
bracis-33650	41	51	i	i	PRON
bracis-33650	41	52	and	and	CCONJ
bracis-33650	41	53	\(n+1\	\(n+1\	NOUN
bracis-33650	41	54	)	)	PUNCT
bracis-33650	41	55	labels	label	NOUN
bracis-33650	41	56	of	of	ADP
bracis-33650	41	57	each	each	DET
bracis-33650	41	58	instance	instance	NOUN
bracis-33650	41	59	,	,	PUNCT
bracis-33650	41	60	and	and	CCONJ
bracis-33650	41	61	\(\boldsymbol{x}_{j	\(\boldsymbol{x}_{j	NOUN
bracis-33650	41	62	}	}	PUNCT
bracis-33650	41	63	\in	\in	PROPN
bracis-33650	41	64	\mathbb	\mathbb	PROPN
bracis-33650	41	65	{	{	PUNCT
bracis-33650	41	66	r}^d\	r}^d\	NUM
bracis-33650	41	67	)	)	PUNCT
bracis-33650	41	68	is	be	AUX
bracis-33650	41	69	the	the	DET
bracis-33650	41	70	feature	feature	NOUN
bracis-33650	41	71	vector	vector	NOUN
bracis-33650	41	72	of	of	ADP
bracis-33650	41	73	the	the	DET
bracis-33650	41	74	j	j	PROPN
bracis-33650	41	75	-	-	PUNCT
bracis-33650	41	76	th	th	VERB
bracis-33650	41	77	instance	instance	NOUN
bracis-33650	41	78	with	with	ADP
bracis-33650	41	79	d	d	PROPN
bracis-33650	41	80	dimensions	dimension	NOUN
bracis-33650	41	81	.	.	PUNCT
bracis-33650	42	1	the	the	DET
bracis-33650	42	2	goal	goal	NOUN
bracis-33650	42	3	of	of	ADP
bracis-33650	42	4	ocl	ocl	PROPN
bracis-33650	42	5	algorithms	algorithms	PROPN
bracis-33650	42	6	for	for	ADP
bracis-33650	42	7	data	datum	NOUN
bracis-33650	42	8	stream	stream	NOUN
bracis-33650	42	9	is	be	AUX
bracis-33650	42	10	to	to	PART
bracis-33650	42	11	learn	learn	VERB
bracis-33650	42	12	a	a	DET
bracis-33650	42	13	function	function	NOUN
bracis-33650	42	14	\(f	\(f	NOUN
bracis-33650	42	15	:	:	PUNCT
bracis-33650	42	16	\mathcal{d}\mathcal{s}_i	\mathcal{d}\mathcal{s}_i	ADJ
bracis-33650	42	17	\rightarrow	\rightarrow	PROPN
bracis-33650	42	18	\mathcal	\mathcal	PROPN
bracis-33650	42	19	{	{	PUNCT
bracis-33650	42	20	y}\	y}\	NOUN
bracis-33650	42	21	)	)	PUNCT
bracis-33650	42	22	in	in	ADP
bracis-33650	42	23	a	a	DET
bracis-33650	42	24	way	way	NOUN
bracis-33650	42	25	that	that	PRON
bracis-33650	42	26	\(f(\boldsymbol{x})\	\(f(\boldsymbol{x})\	NOUN
bracis-33650	42	27	)	)	PUNCT
bracis-33650	42	28	predicts	predict	VERB
bracis-33650	42	29	a	a	DET
bracis-33650	42	30	label	label	NOUN
bracis-33650	42	31	\(y	\(y	PROPN
bracis-33650	42	32	\in	\in	PROPN
bracis-33650	42	33	\{+1	\{+1	PROPN
bracis-33650	42	34	,	,	PUNCT
bracis-33650	42	35	-1\}\	-1\}\	PROPN
bracis-33650	42	36	)	)	PUNCT
bracis-33650	42	37	.	.	PUNCT
bracis-33650	43	1	it	it	PRON
bracis-33650	43	2	is	be	AUX
bracis-33650	43	3	worth	worth	ADJ
bracis-33650	43	4	mentioning	mention	VERB
bracis-33650	43	5	that	that	SCONJ
bracis-33650	43	6	the	the	DET
bracis-33650	43	7	algorithms	algorithm	NOUN
bracis-33650	43	8	only	only	ADV
bracis-33650	43	9	train	train	VERB
bracis-33650	43	10	with	with	ADP
bracis-33650	43	11	information	information	NOUN
bracis-33650	43	12	from	from	ADP
bracis-33650	43	13	a	a	DET
bracis-33650	43	14	single	single	ADJ
bracis-33650	43	15	label	label	NOUN
bracis-33650	43	16	(	(	PUNCT
bracis-33650	43	17	\(+1\	\(+1\	NOUN
bracis-33650	43	18	)	)	PUNCT
bracis-33650	43	19	)	)	PUNCT
bracis-33650	43	20	in	in	ADP
bracis-33650	43	21	each	each	DET
bracis-33650	43	22	iteration	iteration	NOUN
bracis-33650	43	23	,	,	PUNCT
bracis-33650	43	24	i.e.	i.e.	X
bracis-33650	43	25	,	,	PUNCT
bracis-33650	43	26	the	the	DET
bracis-33650	43	27	algorithm	algorithm	NOUN
bracis-33650	43	28	learns	learn	VERB
bracis-33650	43	29	the	the	DET
bracis-33650	43	30	function	function	NOUN
bracis-33650	43	31	f	f	X
bracis-33650	43	32	(	(	PUNCT
bracis-33650	43	33	.	.	PUNCT
bracis-33650	43	34	)	)	PUNCT
bracis-33650	43	35	with	with	ADP
bracis-33650	43	36	instances	instance	NOUN
bracis-33650	43	37	\(\boldsymbol{x_j}\	\(\boldsymbol{x_j}\	NUM
bracis-33650	43	38	)	)	PUNCT
bracis-33650	43	39	,	,	PUNCT
bracis-33650	43	40	where	where	SCONJ
bracis-33650	43	41	\(y_{j	\(y_{j	NOUN
bracis-33650	43	42	}	}	PUNCT
bracis-33650	43	43	=	=	SYM
bracis-33650	43	44	+1\	+1\	NUM
bracis-33650	43	45	)	)	PUNCT
bracis-33650	43	46	.	.	PUNCT
bracis-33650	44	1	in	in	ADP
bracis-33650	44	2	this	this	DET
bracis-33650	44	3	work	work	NOUN
bracis-33650	44	4	,	,	PUNCT
bracis-33650	44	5	for	for	ADP
bracis-33650	44	6	training	training	NOUN
bracis-33650	44	7	,	,	PUNCT
bracis-33650	44	8	there	there	PRON
bracis-33650	44	9	may	may	AUX
bracis-33650	44	10	be	be	AUX
bracis-33650	44	11	instances	instance	NOUN
bracis-33650	44	12	of	of	ADP
bracis-33650	44	13	interest	interest	NOUN
bracis-33650	44	14	from	from	ADP
bracis-33650	44	15	more	more	ADJ
bracis-33650	44	16	than	than	ADP
bracis-33650	44	17	one	one	NUM
bracis-33650	44	18	chunk	chunk	NOUN
bracis-33650	44	19	before	before	SCONJ
bracis-33650	44	20	the	the	DET
bracis-33650	44	21	one	one	NUM
bracis-33650	44	22	evaluated	evaluate	VERB
bracis-33650	44	23	.	.	PUNCT
bracis-33650	45	1	figure	figure	VERB
bracis-33650	45	2	 	 	SPACE
bracis-33650	45	3	1	1	NUM
bracis-33650	45	4	illustrates	illustrate	VERB
bracis-33650	45	5	this	this	DET
bracis-33650	45	6	data	data	NOUN
bracis-33650	45	7	flow	flow	NOUN
bracis-33650	45	8	process	process	NOUN
bracis-33650	45	9	for	for	ADP
bracis-33650	45	10	ocl	ocl	PROPN
bracis-33650	45	11	.	.	PUNCT
bracis-33650	46	1	fig	fig	NOUN
bracis-33650	46	2	.	.	PUNCT
bracis-33650	47	1	1	1	X
bracis-33650	47	2	.	.	X
bracis-33650	47	3	illustration	illustration	NOUN
bracis-33650	47	4	of	of	ADP
bracis-33650	47	5	the	the	DET
bracis-33650	47	6	classification	classification	NOUN
bracis-33650	47	7	process	process	NOUN
bracis-33650	47	8	in	in	ADP
bracis-33650	47	9	one	one	NUM
bracis-33650	47	10	-	-	PUNCT
bracis-33650	47	11	class	class	NOUN
bracis-33650	47	12	learning	learning	NOUN
bracis-33650	47	13	.	.	PUNCT
bracis-33650	48	1	(	(	PUNCT
bracis-33650	48	2	color	color	NOUN
bracis-33650	48	3	figure	figure	NOUN
bracis-33650	48	4	online	online	ADV
bracis-33650	48	5	)	)	PUNCT
bracis-33650	48	6	full	full	ADJ
bracis-33650	48	7	size	size	NOUN
bracis-33650	48	8	image	image	NOUN
bracis-33650	48	9	a	a	DET
bracis-33650	48	10	graph	graph	NOUN
bracis-33650	48	11	is	be	AUX
bracis-33650	48	12	formally	formally	ADV
bracis-33650	48	13	defined	define	VERB
bracis-33650	48	14	as	as	ADP
bracis-33650	48	15	\(\mathcal	\(\mathcal	ADJ
bracis-33650	48	16	{	{	PUNCT
bracis-33650	48	17	g	g	NOUN
bracis-33650	48	18	}	}	PUNCT
bracis-33650	48	19	=	=	SYM
bracis-33650	48	20	(	(	PUNCT
bracis-33650	48	21	\mathcal	\mathcal	ADJ
bracis-33650	48	22	{	{	PUNCT
bracis-33650	48	23	v	v	NOUN
bracis-33650	48	24	}	}	PUNCT
bracis-33650	48	25	,	,	PUNCT
bracis-33650	48	26	\boldsymbol{a})\	\boldsymbol{a})\	NOUN
bracis-33650	48	27	)	)	PUNCT
bracis-33650	48	28	,	,	PUNCT
bracis-33650	48	29	where	where	SCONJ
bracis-33650	48	30	each	each	DET
bracis-33650	48	31	node	node	ADJ
bracis-33650	48	32	\(v_i	\(v_i	ADJ
bracis-33650	48	33	\in	\in	PROPN
bracis-33650	48	34	\mathcal	\mathcal	PROPN
bracis-33650	48	35	{	{	PUNCT
bracis-33650	48	36	v}\	v}\	PROPN
bracis-33650	48	37	)	)	PUNCT
bracis-33650	48	38	and	and	CCONJ
bracis-33650	48	39	\(\boldsymbol{a}\	\(\boldsymbol{a}\	NUM
bracis-33650	48	40	)	)	PUNCT
bracis-33650	48	41	is	be	AUX
bracis-33650	48	42	the	the	DET
bracis-33650	48	43	adjacency	adjacency	NOUN
bracis-33650	48	44	matrix	matrix	NOUN
bracis-33650	48	45	containing	contain	VERB
bracis-33650	48	46	relations	relation	NOUN
bracis-33650	48	47	information	information	NOUN
bracis-33650	48	48	between	between	ADP
bracis-33650	48	49	nodes	node	NOUN
bracis-33650	48	50	.	.	PUNCT
bracis-33650	49	1	for	for	ADP
bracis-33650	49	2	each	each	DET
bracis-33650	49	3	window	window	NOUN
bracis-33650	49	4	(	(	PUNCT
bracis-33650	49	5	iterations	iteration	NOUN
bracis-33650	49	6	in	in	ADP
bracis-33650	49	7	fig	fig	NOUN
bracis-33650	49	8	.	.	PUNCT
bracis-33650	49	9	 	 	SPACE
bracis-33650	49	10	1	1	NUM
bracis-33650	49	11	)	)	PUNCT
bracis-33650	49	12	,	,	PUNCT
bracis-33650	49	13	we	we	PRON
bracis-33650	49	14	have	have	VERB
bracis-33650	49	15	a	a	DET
bracis-33650	49	16	\(\mathcal	\(\mathcal	ADJ
bracis-33650	49	17	{	{	PUNCT
bracis-33650	49	18	g}_i\	g}_i\	NOUN
bracis-33650	49	19	)	)	PUNCT
bracis-33650	49	20	with	with	ADP
bracis-33650	49	21	two	two	NUM
bracis-33650	49	22	sets	set	NOUN
bracis-33650	49	23	of	of	ADP
bracis-33650	49	24	nodes	node	NOUN
bracis-33650	49	25	:	:	PUNCT
bracis-33650	49	26	\(\mathcal	\(\mathcal	ADJ
bracis-33650	49	27	{	{	PUNCT
bracis-33650	49	28	v}^{in}\	v}^{in}\	NUM
bracis-33650	49	29	)	)	PUNCT
bracis-33650	49	30	(	(	PUNCT
bracis-33650	49	31	set	set	VERB
bracis-33650	49	32	of	of	ADP
bracis-33650	49	33	interest	interest	NOUN
bracis-33650	49	34	with	with	ADP
bracis-33650	49	35	a	a	DET
bracis-33650	49	36	single	single	ADJ
bracis-33650	49	37	label	label	NOUN
bracis-33650	49	38	,	,	PUNCT
bracis-33650	49	39	i.e.	i.e.	X
bracis-33650	49	40	,	,	PUNCT
bracis-33650	49	41	green	green	ADJ
bracis-33650	49	42	balls	ball	NOUN
bracis-33650	49	43	in	in	ADP
bracis-33650	49	44	fig	fig	NOUN
bracis-33650	49	45	.	.	PUNCT
bracis-33650	49	46	 	 	SPACE
bracis-33650	49	47	1	1	X
bracis-33650	49	48	)	)	PUNCT
bracis-33650	49	49	and	and	CCONJ
bracis-33650	49	50	\(\mathcal	\(\mathcal	ADJ
bracis-33650	49	51	{	{	PUNCT
bracis-33650	49	52	v}^{un}\	v}^{un}\	NOUN
bracis-33650	49	53	)	)	PUNCT
bracis-33650	49	54	(	(	PUNCT
bracis-33650	49	55	unlabeled	unlabele	VERB
bracis-33650	49	56	set	set	NOUN
bracis-33650	49	57	,	,	PUNCT
bracis-33650	49	58	i.e.	i.e.	X
bracis-33650	49	59	,	,	PUNCT
bracis-33650	49	60	symbols	symbol	NOUN
bracis-33650	49	61	without	without	ADP
bracis-33650	49	62	color	color	NOUN
bracis-33650	49	63	in	in	ADP
bracis-33650	49	64	fig	fig	NOUN
bracis-33650	49	65	.	.	PUNCT
bracis-33650	49	66	 	 	SPACE
bracis-33650	49	67	1	1	NUM
bracis-33650	49	68	)	)	PUNCT
bracis-33650	49	69	.	.	PUNCT
bracis-33650	50	1	we	we	PRON
bracis-33650	50	2	generate	generate	VERB
bracis-33650	50	3	each	each	DET
bracis-33650	50	4	\(\mathcal	\(\mathcal	ADJ
bracis-33650	50	5	{	{	PUNCT
bracis-33650	50	6	g}_i\	g}_i\	NOUN
bracis-33650	50	7	)	)	PUNCT
bracis-33650	50	8	through	through	ADP
bracis-33650	50	9	proximity	proximity	NOUN
bracis-33650	50	10	between	between	ADP
bracis-33650	50	11	the	the	DET
bracis-33650	50	12	instances	instance	NOUN
bracis-33650	50	13	.	.	PUNCT
bracis-33650	51	1	this	this	DET
bracis-33650	51	2	type	type	NOUN
bracis-33650	51	3	of	of	ADP
bracis-33650	51	4	graph	graph	NOUN
bracis-33650	51	5	is	be	AUX
bracis-33650	51	6	called	call	VERB
bracis-33650	51	7	k	k	PROPN
bracis-33650	51	8	nearest	near	ADJ
bracis-33650	51	9	neighbors	neighbor	NOUN
bracis-33650	51	10	graph	graph	NOUN
bracis-33650	51	11	,	,	PUNCT
bracis-33650	51	12	in	in	ADP
bracis-33650	51	13	which	which	PRON
bracis-33650	51	14	each	each	DET
bracis-33650	51	15	node	node	NOUN
bracis-33650	51	16	connects	connect	VERB
bracis-33650	51	17	to	to	ADP
bracis-33650	51	18	its	its	PRON
bracis-33650	51	19	k	k	PROPN
bracis-33650	51	20	nearest	near	ADJ
bracis-33650	51	21	neighbors	neighbor	NOUN
bracis-33650	51	22	.	.	PUNCT
bracis-33650	52	1	with	with	ADP
bracis-33650	52	2	the	the	DET
bracis-33650	52	3	generated	generate	VERB
bracis-33650	52	4	graph	graph	NOUN
bracis-33650	52	5	,	,	PUNCT
bracis-33650	52	6	we	we	PRON
bracis-33650	52	7	can	can	AUX
bracis-33650	52	8	apply	apply	VERB
bracis-33650	52	9	gnns	gnns	NOUN
bracis-33650	52	10	to	to	PART
bracis-33650	52	11	learn	learn	VERB
bracis-33650	52	12	representations	representation	NOUN
bracis-33650	52	13	for	for	ADP
bracis-33650	52	14	the	the	DET
bracis-33650	52	15	nodes	node	NOUN
bracis-33650	52	16	and	and	CCONJ
bracis-33650	52	17	classify	classify	VERB
bracis-33650	52	18	the	the	DET
bracis-33650	52	19	nodes	node	NOUN
bracis-33650	52	20	.	.	PUNCT
bracis-33650	53	1	the	the	DET
bracis-33650	53	2	gnns	gnn	NOUN
bracis-33650	53	3	consider	consider	VERB
bracis-33650	53	4	the	the	DET
bracis-33650	53	5	structured	structured	ADJ
bracis-33650	53	6	representation	representation	NOUN
bracis-33650	53	7	of	of	ADP
bracis-33650	53	8	each	each	DET
bracis-33650	53	9	node	node	ADJ
bracis-33650	53	10	\(\boldsymbol{v}_i	\(\boldsymbol{v}_i	PROPN
bracis-33650	53	11	\in	\in	PROPN
bracis-33650	53	12	\boldsymbol{v}\	\boldsymbol{v}\	PROPN
bracis-33650	53	13	)	)	PUNCT
bracis-33650	53	14	and	and	CCONJ
bracis-33650	53	15	the	the	DET
bracis-33650	53	16	adjacency	adjacency	NOUN
bracis-33650	53	17	matrix	matrix	NOUN
bracis-33650	53	18	\(\boldsymbol{a}\	\(\boldsymbol{a}\	PUNCT
bracis-33650	53	19	)	)	PUNCT
bracis-33650	53	20	as	as	ADP
bracis-33650	53	21	input	input	NOUN
bracis-33650	53	22	for	for	ADP
bracis-33650	53	23	the	the	DET
bracis-33650	53	24	representation	representation	NOUN
bracis-33650	53	25	learning	learning	NOUN
bracis-33650	53	26	process	process	NOUN
bracis-33650	53	27	.	.	PUNCT
bracis-33650	54	1	therefore	therefore	ADV
bracis-33650	54	2	,	,	PUNCT
bracis-33650	54	3	\(g(\boldsymbol{v	\(g(\boldsymbol{v	ADP
bracis-33650	54	4	}	}	PUNCT
bracis-33650	54	5	,	,	PUNCT
bracis-33650	54	6	\boldsymbol{a	\boldsymbol{a	PROPN
bracis-33650	54	7	}	}	PUNCT
bracis-33650	54	8	;	;	PUNCT
bracis-33650	54	9	\textbf{w})\	\textbf{w})\	NOUN
bracis-33650	54	10	)	)	PUNCT
bracis-33650	54	11	represents	represent	VERB
bracis-33650	54	12	a	a	DET
bracis-33650	54	13	gnn	gnn	NOUN
bracis-33650	54	14	with	with	ADP
bracis-33650	54	15	trainable	trainable	ADJ
bracis-33650	54	16	weights	weight	NOUN
bracis-33650	54	17	\(\textbf{w	\(\textbf{w	PRON
bracis-33650	54	18	}	}	PUNCT
bracis-33650	54	19	=	=	SYM
bracis-33650	54	20	\{\boldsymbol{w}^{(1	\{\boldsymbol{w}^{(1	PROPN
bracis-33650	54	21	)	)	PUNCT
bracis-33650	54	22	}	}	PUNCT
bracis-33650	54	23	,	,	PUNCT
bracis-33650	54	24	\cdots	\cdot	NOUN
bracis-33650	54	25	,	,	PUNCT
bracis-33650	54	26	\boldsymbol{w}^{(l)}\}\	\boldsymbol{w}^{(l)}\}\	PROPN
bracis-33650	54	27	)	)	PUNCT
bracis-33650	54	28	in	in	ADP
bracis-33650	54	29	l	l	NOUN
bracis-33650	54	30	hidden	hide	VERB
bracis-33650	54	31	layers	layer	NOUN
bracis-33650	54	32	.	.	PUNCT
bracis-33650	55	1	formally	formally	ADV
bracis-33650	55	2	,	,	PUNCT
bracis-33650	55	3	for	for	ADP
bracis-33650	55	4	the	the	DET
bracis-33650	55	5	l	l	NOUN
bracis-33650	55	6	-	-	PUNCT
bracis-33650	55	7	th	th	VERB
bracis-33650	55	8	layer	layer	NOUN
bracis-33650	55	9	,	,	PUNCT
bracis-33650	55	10	the	the	DET
bracis-33650	55	11	gnn	gnn	PROPN
bracis-33650	55	12	propagation	propagation	NOUN
bracis-33650	55	13	can	can	AUX
bracis-33650	55	14	be	be	AUX
bracis-33650	55	15	summarized	summarize	VERB
bracis-33650	55	16	as	as	SCONJ
bracis-33650	55	17	follows	follow	VERB
bracis-33650	55	18	:	:	PUNCT
bracis-33650	55	19	$	$	SYM
bracis-33650	55	20	$	$	SYM
bracis-33650	55	21	\begin{aligned	\begin{aligne	VERB
bracis-33650	55	22	}	}	PUNCT
bracis-33650	55	23	\boldsymbol{h}^{(l+1	\boldsymbol{h}^{(l+1	PROPN
bracis-33650	55	24	)	)	PUNCT
bracis-33650	55	25	}	}	PUNCT
bracis-33650	56	1	=	=	SYM
bracis-33650	56	2	g(\boldsymbol{h}^{(l	g(\boldsymbol{h}^{(l	PROPN
bracis-33650	56	3	)	)	PUNCT
bracis-33650	56	4	}	}	PUNCT
bracis-33650	56	5	,	,	PUNCT
bracis-33650	56	6	\boldsymbol{a	\boldsymbol{a	PROPN
bracis-33650	56	7	}	}	PUNCT
bracis-33650	56	8	;	;	PUNCT
bracis-33650	56	9	\boldsymbol{w}^{(l	\boldsymbol{w}^{(l	NOUN
bracis-33650	56	10	)	)	PUNCT
bracis-33650	56	11	}	}	PUNCT
bracis-33650	56	12	)	)	PUNCT
bracis-33650	56	13	,	,	PUNCT
bracis-33650	56	14	\end{aligned}$$	\end{aligned}$$	X
bracis-33650	56	15	(	(	PUNCT
bracis-33650	56	16	1	1	NUM
bracis-33650	56	17	)	)	PUNCT
bracis-33650	56	18	in	in	ADP
bracis-33650	56	19	which	which	PRON
bracis-33650	56	20	\(\boldsymbol{h}^{(l)}\	\(\boldsymbol{h}^{(l)}\	PROPN
bracis-33650	56	21	)	)	PUNCT
bracis-33650	56	22	is	be	AUX
bracis-33650	56	23	the	the	DET
bracis-33650	56	24	input	input	NOUN
bracis-33650	56	25	to	to	ADP
bracis-33650	56	26	the	the	DET
bracis-33650	56	27	l	l	NOUN
bracis-33650	56	28	-	-	PUNCT
bracis-33650	56	29	th	th	VERB
bracis-33650	56	30	gnn	gnn	NOUN
bracis-33650	56	31	layer	layer	NOUN
bracis-33650	56	32	,	,	PUNCT
bracis-33650	56	33	and	and	CCONJ
bracis-33650	56	34	\(\boldsymbol{h}^{l+1}\	\(\boldsymbol{h}^{l+1}\	NUM
bracis-33650	56	35	)	)	PUNCT
bracis-33650	56	36	is	be	AUX
bracis-33650	56	37	the	the	DET
bracis-33650	56	38	output	output	NOUN
bracis-33650	56	39	of	of	ADP
bracis-33650	56	40	this	this	DET
bracis-33650	56	41	layer	layer	NOUN
bracis-33650	56	42	.	.	PUNCT
bracis-33650	57	1	the	the	DET
bracis-33650	57	2	representations	representation	NOUN
bracis-33650	57	3	\(\boldsymbol{v}\	\(\boldsymbol{v}\	NOUN
bracis-33650	57	4	)	)	PUNCT
bracis-33650	57	5	are	be	AUX
bracis-33650	57	6	the	the	DET
bracis-33650	57	7	inputs	input	NOUN
bracis-33650	57	8	for	for	ADP
bracis-33650	57	9	the	the	DET
bracis-33650	57	10	first	first	ADJ
bracis-33650	57	11	layer	layer	NOUN
bracis-33650	57	12	,	,	PUNCT
bracis-33650	57	13	i.e.	i.e.	X
bracis-33650	57	14	,	,	PUNCT
bracis-33650	57	15	\(\boldsymbol{v	\(\boldsymbol{v	ADJ
bracis-33650	57	16	}	}	PUNCT
bracis-33650	57	17	\equiv	\equiv	PROPN
bracis-33650	57	18	\boldsymbol{h}^{(0)}\	\boldsymbol{h}^{(0)}\	NUM
bracis-33650	57	19	)	)	PUNCT
bracis-33650	57	20	.	.	PUNCT
bracis-33650	58	1	in	in	ADP
bracis-33650	58	2	this	this	DET
bracis-33650	58	3	sense	sense	NOUN
bracis-33650	58	4	,	,	PUNCT
bracis-33650	58	5	\(\boldsymbol{h}^{(l)}\	\(\boldsymbol{h}^{(l)}\	PROPN
bracis-33650	58	6	)	)	PUNCT
bracis-33650	58	7	are	be	AUX
bracis-33650	58	8	the	the	DET
bracis-33650	58	9	learned	learn	VERB
bracis-33650	58	10	embeddings	embedding	NOUN
bracis-33650	58	11	for	for	ADP
bracis-33650	58	12	each	each	DET
bracis-33650	58	13	node	node	NOUN
bracis-33650	58	14	.	.	PUNCT
bracis-33650	59	1	a	a	DET
bracis-33650	59	2	gnn	gnn	PROPN
bracis-33650	59	3	has	have	VERB
bracis-33650	59	4	two	two	NUM
bracis-33650	59	5	main	main	ADJ
bracis-33650	59	6	steps	step	NOUN
bracis-33650	59	7	during	during	ADP
bracis-33650	59	8	the	the	DET
bracis-33650	59	9	learning	learning	NOUN
bracis-33650	59	10	.	.	PUNCT
bracis-33650	60	1	first	first	ADV
bracis-33650	60	2	,	,	PUNCT
bracis-33650	60	3	the	the	DET
bracis-33650	60	4	aggregate	aggregate	ADJ
bracis-33650	60	5	step	step	NOUN
bracis-33650	60	6	tries	try	VERB
bracis-33650	60	7	to	to	PART
bracis-33650	60	8	aggregate	aggregate	VERB
bracis-33650	60	9	the	the	DET
bracis-33650	60	10	information	information	NOUN
bracis-33650	60	11	from	from	ADP
bracis-33650	60	12	the	the	DET
bracis-33650	60	13	neighbors	neighbor	NOUN
bracis-33650	60	14	of	of	ADP
bracis-33650	60	15	each	each	DET
bracis-33650	60	16	node	node	NOUN
bracis-33650	60	17	.	.	PUNCT
bracis-33650	61	1	the	the	DET
bracis-33650	61	2	second	second	ADJ
bracis-33650	61	3	is	be	AUX
bracis-33650	61	4	the	the	DET
bracis-33650	61	5	combining	combine	VERB
bracis-33650	61	6	step	step	NOUN
bracis-33650	61	7	,	,	PUNCT
bracis-33650	61	8	which	which	PRON
bracis-33650	61	9	tries	try	VERB
bracis-33650	61	10	to	to	PART
bracis-33650	61	11	update	update	VERB
bracis-33650	61	12	the	the	DET
bracis-33650	61	13	node	node	ADJ
bracis-33650	61	14	representations	representation	NOUN
bracis-33650	61	15	by	by	ADP
bracis-33650	61	16	combining	combine	VERB
bracis-33650	61	17	the	the	DET
bracis-33650	61	18	aggregated	aggregated	ADJ
bracis-33650	61	19	information	information	NOUN
bracis-33650	61	20	from	from	ADP
bracis-33650	61	21	neighbors	neighbor	NOUN
bracis-33650	61	22	with	with	ADP
bracis-33650	61	23	the	the	DET
bracis-33650	61	24	current	current	ADJ
bracis-33650	61	25	node	node	NOUN
bracis-33650	61	26	representations	representation	NOUN
bracis-33650	61	27	[	[	X
bracis-33650	61	28	27	27	NUM
bracis-33650	61	29	]	]	PUNCT
bracis-33650	61	30	.	.	PUNCT
bracis-33650	62	1	after	after	ADP
bracis-33650	62	2	these	these	DET
bracis-33650	62	3	steps	step	NOUN
bracis-33650	62	4	,	,	PUNCT
bracis-33650	62	5	the	the	DET
bracis-33650	62	6	aggregated	aggregate	VERB
bracis-33650	62	7	and	and	CCONJ
bracis-33650	62	8	combined	combine	VERB
bracis-33650	62	9	representations	representation	NOUN
bracis-33650	62	10	pass	pass	VERB
bracis-33650	62	11	through	through	ADP
bracis-33650	62	12	neurons	neuron	NOUN
bracis-33650	62	13	to	to	PART
bracis-33650	62	14	learn	learn	VERB
bracis-33650	62	15	the	the	DET
bracis-33650	62	16	weights	weight	NOUN
bracis-33650	62	17	\(\textbf{w}\	\(\textbf{w}\	NOUN
bracis-33650	62	18	)	)	PUNCT
bracis-33650	62	19	.	.	PUNCT
bracis-33650	63	1	the	the	DET
bracis-33650	63	2	steps	step	NOUN
bracis-33650	63	3	are	be	AUX
bracis-33650	63	4	defined	define	VERB
bracis-33650	63	5	by	by	ADP
bracis-33650	63	6	[	[	X
bracis-33650	63	7	27	27	NUM
bracis-33650	63	8	,	,	PUNCT
bracis-33650	63	9	31	31	NUM
bracis-33650	63	10	]	]	PUNCT
bracis-33650	63	11	:	:	PUNCT
bracis-33650	63	12	in	in	ADP
bracis-33650	63	13	which	which	PRON
bracis-33650	63	14	\(\boldsymbol{a}_{v_i}^l\	\(\boldsymbol{a}_{v_i}^l\	NUM
bracis-33650	63	15	)	)	PUNCT
bracis-33650	63	16	is	be	AUX
bracis-33650	63	17	the	the	DET
bracis-33650	63	18	aggregation	aggregation	NOUN
bracis-33650	63	19	result	result	NOUN
bracis-33650	63	20	of	of	ADP
bracis-33650	63	21	the	the	DET
bracis-33650	63	22	\(v_i\	\(v_i\	NOUN
bracis-33650	63	23	)	)	PUNCT
bracis-33650	63	24	neighbors	neighbor	NOUN
bracis-33650	63	25	defined	define	VERB
bracis-33650	63	26	as	as	ADP
bracis-33650	63	27	\(n_{v_i}\	\(n_{v_i}\	NOUN
bracis-33650	63	28	)	)	PUNCT
bracis-33650	63	29	,	,	PUNCT
bracis-33650	63	30	and	and	CCONJ
bracis-33650	63	31	\(\boldsymbol{h}_{v_j}^{l-1}\	\(\boldsymbol{h}_{v_j}^{l-1}\	PROPN
bracis-33650	63	32	)	)	PUNCT
bracis-33650	63	33	is	be	AUX
bracis-33650	63	34	the	the	DET
bracis-33650	63	35	feature	feature	NOUN
bracis-33650	63	36	vector	vector	NOUN
bracis-33650	63	37	of	of	ADP
bracis-33650	63	38	the	the	DET
bracis-33650	63	39	node	node	NOUN
bracis-33650	63	40	\(v_j\	\(v_j\	PROPN
bracis-33650	63	41	)	)	PUNCT
bracis-33650	63	42	at	at	ADP
bracis-33650	63	43	the	the	DET
bracis-33650	63	44	\(l-1^{th}\	\(l-1^{th}\	NOUN
bracis-33650	63	45	)	)	PUNCT
bracis-33650	63	46	layer	layer	NOUN
bracis-33650	63	47	.	.	PUNCT
bracis-33650	64	1	the	the	DET
bracis-33650	64	2	combination	combination	NOUN
bracis-33650	64	3	of	of	ADP
bracis-33650	64	4	the	the	DET
bracis-33650	64	5	aggregate	aggregate	ADJ
bracis-33650	64	6	representation	representation	NOUN
bracis-33650	64	7	and	and	CCONJ
bracis-33650	64	8	the	the	DET
bracis-33650	64	9	node	node	ADJ
bracis-33650	64	10	representation	representation	NOUN
bracis-33650	64	11	is	be	AUX
bracis-33650	64	12	defined	define	VERB
bracis-33650	64	13	by	by	ADP
bracis-33650	64	14	eq	eq	PROPN
bracis-33650	64	15	.	.	PUNCT
bracis-33650	64	16	 	 	SPACE
bracis-33650	64	17	3	3	NUM
bracis-33650	65	1	[	[	X
bracis-33650	65	2	27	27	NUM
bracis-33650	65	3	,	,	PUNCT
bracis-33650	65	4	31	31	NUM
bracis-33650	65	5	]	]	PUNCT
bracis-33650	65	6	.	.	PUNCT
bracis-33650	66	1	for	for	ADP
bracis-33650	66	2	instance	instance	NOUN
bracis-33650	66	3	,	,	PUNCT
bracis-33650	66	4	the	the	DET
bracis-33650	66	5	mean	mean	ADJ
bracis-33650	66	6	operator	operator	NOUN
bracis-33650	66	7	can	can	AUX
bracis-33650	66	8	perform	perform	VERB
bracis-33650	66	9	both	both	DET
bracis-33650	66	10	steps	step	NOUN
bracis-33650	66	11	.	.	PUNCT
bracis-33650	67	1	the	the	DET
bracis-33650	67	2	studies	study	NOUN
bracis-33650	67	3	of	of	ADP
bracis-33650	67	4	ocl	ocl	PROPN
bracis-33650	67	5	and	and	CCONJ
bracis-33650	67	6	gnns	gnns	ADJ
bracis-33650	67	7	use	use	NOUN
bracis-33650	67	8	graph	graph	NOUN
bracis-33650	67	9	autoencoders	autoencoder	NOUN
bracis-33650	67	10	(	(	PUNCT
bracis-33650	67	11	gae	gae	PROPN
bracis-33650	67	12	)	)	PUNCT
bracis-33650	67	13	to	to	PART
bracis-33650	67	14	improve	improve	VERB
bracis-33650	67	15	the	the	DET
bracis-33650	67	16	ocl	ocl	PROPN
bracis-33650	67	17	,	,	PUNCT
bracis-33650	67	18	given	give	VERB
bracis-33650	67	19	the	the	DET
bracis-33650	67	20	advantages	advantage	NOUN
bracis-33650	67	21	of	of	ADP
bracis-33650	67	22	two	two	NUM
bracis-33650	67	23	gaes	gaes	NOUN
bracis-33650	67	24	of	of	ADP
bracis-33650	67	25	learning	learn	VERB
bracis-33650	67	26	representations	representation	NOUN
bracis-33650	67	27	in	in	ADP
bracis-33650	67	28	an	an	DET
bracis-33650	67	29	unsupervised	unsupervised	ADJ
bracis-33650	67	30	way	way	NOUN
bracis-33650	67	31	by	by	ADP
bracis-33650	67	32	reconstructing	reconstruct	VERB
bracis-33650	67	33	the	the	DET
bracis-33650	67	34	graph	graph	NOUN
bracis-33650	67	35	[	[	X
bracis-33650	67	36	7	7	NUM
bracis-33650	67	37	,	,	PUNCT
bracis-33650	67	38	10	10	NUM
bracis-33650	67	39	,	,	PUNCT
bracis-33650	67	40	11	11	NUM
bracis-33650	67	41	]	]	PUNCT
bracis-33650	67	42	.	.	PUNCT
bracis-33650	68	1	a	a	DET
bracis-33650	68	2	gae	gae	PROPN
bracis-33650	68	3	uses	use	VERB
bracis-33650	68	4	gnn	gnn	NOUN
bracis-33650	68	5	layers	layer	NOUN
bracis-33650	68	6	as	as	ADP
bracis-33650	68	7	an	an	DET
bracis-33650	68	8	encoder	encoder	NOUN
bracis-33650	68	9	and	and	CCONJ
bracis-33650	68	10	an	an	DET
bracis-33650	68	11	inner	inner	ADJ
bracis-33650	68	12	product	product	NOUN
bracis-33650	68	13	of	of	ADP
bracis-33650	68	14	the	the	DET
bracis-33650	68	15	latent	latent	NOUN
bracis-33650	68	16	representation	representation	NOUN
bracis-33650	68	17	as	as	ADP
bracis-33650	68	18	a	a	DET
bracis-33650	68	19	decoder	decoder	NOUN
bracis-33650	68	20	to	to	PART
bracis-33650	68	21	learn	learn	VERB
bracis-33650	68	22	node	node	ADJ
bracis-33650	68	23	representations	representation	NOUN
bracis-33650	68	24	.	.	PUNCT
bracis-33650	69	1	equation	equation	NOUN
bracis-33650	69	2	 	 	SPACE
bracis-33650	69	3	4	4	NUM
bracis-33650	69	4	describes	describe	VERB
bracis-33650	69	5	a	a	DET
bracis-33650	69	6	gae	gae	NOUN
bracis-33650	69	7	[	[	X
bracis-33650	69	8	15	15	NUM
bracis-33650	69	9	]	]	SYM
bracis-33650	69	10	:	:	PUNCT
bracis-33650	69	11	$	$	SYM
bracis-33650	69	12	$	$	SYM
bracis-33650	69	13	\begin{aligned	\begin{aligne	VERB
bracis-33650	69	14	}	}	PUNCT
bracis-33650	69	15	gae	gae	NOUN
bracis-33650	69	16	=	=	SYM
bracis-33650	69	17	\left\	\left\	PROPN
bracis-33650	69	18	{	{	PUNCT
bracis-33650	69	19	\begin{matrix	\begin{matrix	NOUN
bracis-33650	69	20	}	}	PUNCT
bracis-33650	69	21	encoder	encoder	NOUN
bracis-33650	69	22	:	:	PUNCT
bracis-33650	69	23	\boldsymbol{h}^{(l	\boldsymbol{h}^{(l	NOUN
bracis-33650	69	24	)	)	PUNCT
bracis-33650	69	25	}	}	PUNCT
bracis-33650	69	26	=	=	SYM
bracis-33650	69	27	g(\textbf{v	g(\textbf{v	NOUN
bracis-33650	69	28	}	}	PUNCT
bracis-33650	69	29	,	,	PUNCT
bracis-33650	69	30	\boldsymbol{a	\boldsymbol{a	PROPN
bracis-33650	69	31	}	}	PUNCT
bracis-33650	69	32	;	;	PUNCT
bracis-33650	69	33	\textbf{w	\textbf{w	NOUN
bracis-33650	69	34	}	}	PUNCT
bracis-33650	69	35	)	)	PUNCT
bracis-33650	70	1	\,\,\,\,\	\,\,\,\,\	PROPN
bracis-33650	70	2	\\	\\	NOUN
bracis-33650	70	3	decoder	decoder	NOUN
bracis-33650	70	4	:	:	PUNCT
bracis-33650	70	5	\boldsymbol{\hat{a	\boldsymbol{\hat{a	NOUN
bracis-33650	70	6	}	}	PUNCT
bracis-33650	70	7	}	}	PUNCT
bracis-33650	70	8	=	=	SYM
bracis-33650	70	9	\sigma	\sigma	PROPN
bracis-33650	70	10	(	(	PUNCT
bracis-33650	70	11	\boldsymbol{h}^{(l	\boldsymbol{h}^{(l	NOUN
bracis-33650	70	12	)	)	PUNCT
bracis-33650	70	13	}	}	PUNCT
bracis-33650	70	14	\cdot	\cdot	NOUN
bracis-33650	70	15	\boldsymbol{h}^{(l)^\intercal	\boldsymbol{h}^{(l)^\intercal	NOUN
bracis-33650	70	16	}	}	PUNCT
bracis-33650	70	17	)	)	PUNCT
bracis-33650	70	18	\end{matrix	\end{matrix	NOUN
bracis-33650	70	19	}	}	PUNCT
bracis-33650	70	20	\right	\right	PROPN
bracis-33650	70	21	.	.	PROPN
bracis-33650	70	22	,	,	PUNCT
bracis-33650	70	23	\end{aligned}$$	\end{aligned}$$	X
bracis-33650	70	24	(	(	PUNCT
bracis-33650	70	25	4	4	NUM
bracis-33650	70	26	)	)	PUNCT
bracis-33650	70	27	in	in	ADP
bracis-33650	70	28	which	which	PRON
bracis-33650	70	29	\(\sigma	\(\sigma	NOUN
bracis-33650	70	30	(	(	PUNCT
bracis-33650	70	31	.)\	.)\	PROPN
bracis-33650	70	32	)	)	PUNCT
bracis-33650	70	33	is	be	AUX
bracis-33650	70	34	a	a	DET
bracis-33650	70	35	logistic	logistic	ADJ
bracis-33650	70	36	sigmoid	sigmoid	NOUN
bracis-33650	70	37	function	function	NOUN
bracis-33650	70	38	.	.	PUNCT
bracis-33650	71	1	gae	gae	PROPN
bracis-33650	71	2	learns	learn	VERB
bracis-33650	71	3	\(\boldsymbol{h}^{(l)}\	\(\boldsymbol{h}^{(l)}\	PROPN
bracis-33650	71	4	)	)	PUNCT
bracis-33650	71	5	by	by	ADP
bracis-33650	71	6	performing	perform	VERB
bracis-33650	71	7	the	the	DET
bracis-33650	71	8	binary	binary	PROPN
bracis-33650	71	9	cross	cross	ADJ
bracis-33650	71	10	-	-	ADJ
bracis-33650	71	11	entropy	entropy	ADJ
bracis-33650	71	12	loss	loss	NOUN
bracis-33650	71	13	considering	consider	VERB
bracis-33650	71	14	true	true	ADJ
bracis-33650	71	15	labels	label	NOUN
bracis-33650	71	16	(	(	PUNCT
bracis-33650	71	17	\(\boldsymbol{a}\	\(\boldsymbol{a}\	NOUN
bracis-33650	71	18	)	)	PUNCT
bracis-33650	71	19	)	)	PUNCT
bracis-33650	71	20	and	and	CCONJ
bracis-33650	71	21	predicted	predict	VERB
bracis-33650	71	22	labels	label	NOUN
bracis-33650	71	23	(	(	PUNCT
bracis-33650	71	24	\(\boldsymbol{\hat{a}}\	\(\boldsymbol{\hat{a}}\	NOUN
bracis-33650	71	25	)	)	PUNCT
bracis-33650	71	26	)	)	PUNCT
bracis-33650	71	27	,	,	PUNCT
bracis-33650	71	28	i.e.	i.e.	X
bracis-33650	71	29	,	,	PUNCT
bracis-33650	71	30	the	the	DET
bracis-33650	71	31	gae	gae	PROPN
bracis-33650	71	32	uses	use	VERB
bracis-33650	71	33	the	the	DET
bracis-33650	71	34	graph	graph	NOUN
bracis-33650	71	35	relations	relation	NOUN
bracis-33650	71	36	as	as	ADP
bracis-33650	71	37	the	the	DET
bracis-33650	71	38	first	first	ADJ
bracis-33650	71	39	class	class	NOUN
bracis-33650	71	40	and	and	CCONJ
bracis-33650	71	41	non	non	ADJ
bracis-33650	71	42	-	-	NOUN
bracis-33650	71	43	relations	relation	NOUN
bracis-33650	71	44	as	as	ADP
bracis-33650	71	45	another	another	DET
bracis-33650	71	46	class	class	NOUN
bracis-33650	71	47	,	,	PUNCT
bracis-33650	71	48	performing	perform	VERB
bracis-33650	71	49	a	a	DET
bracis-33650	71	50	binary	binary	ADJ
bracis-33650	71	51	classification	classification	NOUN
bracis-33650	71	52	with	with	ADP
bracis-33650	71	53	the	the	DET
bracis-33650	71	54	learned	learn	VERB
bracis-33650	71	55	representations	representation	NOUN
bracis-33650	71	56	.	.	PUNCT
bracis-33650	72	1	3	3	NUM
bracis-33650	72	2	related	relate	VERB
bracis-33650	72	3	work	work	NOUN
bracis-33650	72	4	one	one	NUM
bracis-33650	72	5	-	-	PUNCT
bracis-33650	72	6	class	class	NOUN
bracis-33650	72	7	learning	learning	NOUN
bracis-33650	72	8	for	for	ADP
bracis-33650	72	9	data	datum	NOUN
bracis-33650	72	10	streams	stream	NOUN
bracis-33650	72	11	.	.	PUNCT
bracis-33650	73	1	one	one	NUM
bracis-33650	73	2	-	-	PUNCT
bracis-33650	73	3	class	class	NOUN
bracis-33650	73	4	learning	learning	NOUN
bracis-33650	73	5	(	(	PUNCT
bracis-33650	73	6	ocl	ocl	PROPN
bracis-33650	73	7	)	)	PUNCT
bracis-33650	73	8	is	be	AUX
bracis-33650	73	9	currently	currently	ADV
bracis-33650	73	10	a	a	DET
bracis-33650	73	11	relevant	relevant	ADJ
bracis-33650	73	12	strategy	strategy	NOUN
bracis-33650	73	13	explored	explore	VERB
bracis-33650	73	14	in	in	ADP
bracis-33650	73	15	the	the	DET
bracis-33650	73	16	data	datum	NOUN
bracis-33650	73	17	stream	stream	NOUN
bracis-33650	73	18	field	field	NOUN
bracis-33650	73	19	[	[	X
bracis-33650	73	20	9	9	NUM
bracis-33650	73	21	]	]	PUNCT
bracis-33650	73	22	.	.	PUNCT
bracis-33650	74	1	works	works	PROPN
bracis-33650	74	2	explore	explore	VERB
bracis-33650	74	3	ocl	ocl	PROPN
bracis-33650	74	4	for	for	ADP
bracis-33650	74	5	novelty	novelty	NOUN
bracis-33650	74	6	,	,	PUNCT
bracis-33650	74	7	anomaly	anomaly	NOUN
bracis-33650	74	8	,	,	PUNCT
bracis-33650	74	9	or	or	CCONJ
bracis-33650	74	10	interest	interest	NOUN
bracis-33650	74	11	class	class	NOUN
bracis-33650	74	12	detection	detection	NOUN
bracis-33650	74	13	in	in	ADP
bracis-33650	74	14	the	the	DET
bracis-33650	74	15	data	data	NOUN
bracis-33650	74	16	stream	stream	NOUN
bracis-33650	74	17	[	[	X
bracis-33650	74	18	9	9	NUM
bracis-33650	74	19	,	,	PUNCT
bracis-33650	74	20	26	26	NUM
bracis-33650	74	21	,	,	PUNCT
bracis-33650	74	22	28	28	NUM
bracis-33650	74	23	]	]	PUNCT
bracis-33650	74	24	.	.	PUNCT
bracis-33650	75	1	some	some	DET
bracis-33650	75	2	works	work	NOUN
bracis-33650	75	3	explore	explore	VERB
bracis-33650	75	4	classic	classic	ADJ
bracis-33650	75	5	ocl	ocl	PROPN
bracis-33650	75	6	algorithms	algorithm	NOUN
bracis-33650	75	7	or	or	CCONJ
bracis-33650	75	8	their	their	PRON
bracis-33650	75	9	variations	variation	NOUN
bracis-33650	75	10	to	to	PART
bracis-33650	75	11	solve	solve	VERB
bracis-33650	75	12	data	datum	NOUN
bracis-33650	75	13	stream	stream	NOUN
bracis-33650	75	14	-	-	PUNCT
bracis-33650	75	15	based	base	VERB
bracis-33650	75	16	tasks	task	NOUN
bracis-33650	75	17	.	.	PUNCT
bracis-33650	76	1	in	in	ADP
bracis-33650	76	2	this	this	DET
bracis-33650	76	3	sense	sense	NOUN
bracis-33650	76	4	,	,	PUNCT
bracis-33650	76	5	[	[	X
bracis-33650	76	6	14	14	NUM
bracis-33650	76	7	]	]	PUNCT
bracis-33650	76	8	proposed	propose	VERB
bracis-33650	76	9	two	two	NUM
bracis-33650	76	10	algorithms	algorithm	NOUN
bracis-33650	76	11	:	:	PUNCT
bracis-33650	76	12	cma	cma	NOUN
bracis-33650	76	13	and	and	CCONJ
bracis-33650	76	14	fma	fma	NOUN
bracis-33650	76	15	.	.	PUNCT
bracis-33650	77	1	both	both	DET
bracis-33650	77	2	algorithms	algorithm	NOUN
bracis-33650	77	3	are	be	AUX
bracis-33650	77	4	based	base	VERB
bracis-33650	77	5	on	on	ADP
bracis-33650	77	6	one	one	NUM
bracis-33650	77	7	-	-	PUNCT
bracis-33650	77	8	class	class	NOUN
bracis-33650	77	9	support	support	NOUN
bracis-33650	77	10	vector	vector	NOUN
bracis-33650	77	11	machines	machine	NOUN
bracis-33650	77	12	(	(	PUNCT
bracis-33650	77	13	ocsvm	ocsvm	ADV
bracis-33650	77	14	)	)	PUNCT
bracis-33650	77	15	and	and	CCONJ
bracis-33650	77	16	their	their	PRON
bracis-33650	77	17	retraining	retraining	NOUN
bracis-33650	77	18	during	during	ADP
bracis-33650	77	19	the	the	DET
bracis-33650	77	20	stream	stream	NOUN
bracis-33650	77	21	of	of	ADP
bracis-33650	77	22	new	new	ADJ
bracis-33650	77	23	data	datum	NOUN
bracis-33650	77	24	.	.	PUNCT
bracis-33650	78	1	cma	cma	PROPN
bracis-33650	78	2	retrains	retrain	VERB
bracis-33650	78	3	ocsvm	ocsvm	ADV
bracis-33650	78	4	when	when	SCONJ
bracis-33650	78	5	each	each	DET
bracis-33650	78	6	new	new	ADJ
bracis-33650	78	7	instance	instance	NOUN
bracis-33650	78	8	emerges	emerge	VERB
bracis-33650	78	9	.	.	PUNCT
bracis-33650	79	1	fma	fma	NOUN
bracis-33650	79	2	retrains	retrain	VERB
bracis-33650	79	3	the	the	DET
bracis-33650	79	4	ocsvm	ocsvm	NOUN
bracis-33650	79	5	with	with	ADP
bracis-33650	79	6	a	a	DET
bracis-33650	79	7	heuristic	heuristic	NOUN
bracis-33650	79	8	formulated	formulate	VERB
bracis-33650	79	9	based	base	VERB
bracis-33650	79	10	on	on	ADP
bracis-33650	79	11	the	the	DET
bracis-33650	79	12	values	value	NOUN
bracis-33650	79	13	of	of	ADP
bracis-33650	79	14	new	new	ADJ
bracis-33650	79	15	instances	instance	NOUN
bracis-33650	79	16	classified	classify	VERB
bracis-33650	79	17	as	as	ADP
bracis-33650	79	18	interest	interest	NOUN
bracis-33650	79	19	or	or	CCONJ
bracis-33650	79	20	novelty	novelty	NOUN
bracis-33650	79	21	.	.	PUNCT
bracis-33650	80	1	[	[	X
bracis-33650	80	2	28	28	NUM
bracis-33650	80	3	]	]	PUNCT
bracis-33650	80	4	proposes	propose	VERB
bracis-33650	80	5	an	an	DET
bracis-33650	80	6	isolation	isolation	NOUN
bracis-33650	80	7	forest	forest	NOUN
bracis-33650	80	8	(	(	PUNCT
bracis-33650	80	9	iforest	iforest	X
bracis-33650	80	10	)	)	PUNCT
bracis-33650	80	11	variant	variant	NOUN
bracis-33650	80	12	that	that	PRON
bracis-33650	80	13	retrains	retrain	VERB
bracis-33650	80	14	the	the	DET
bracis-33650	80	15	model	model	NOUN
bracis-33650	80	16	when	when	SCONJ
bracis-33650	80	17	the	the	DET
bracis-33650	80	18	anomaly	anomaly	NOUN
bracis-33650	80	19	rate	rate	NOUN
bracis-33650	80	20	increases	increase	NOUN
bracis-33650	80	21	.	.	PUNCT
bracis-33650	81	1	[	[	X
bracis-33650	81	2	20	20	NUM
bracis-33650	81	3	]	]	PUNCT
bracis-33650	81	4	proposes	propose	VERB
bracis-33650	81	5	a	a	DET
bracis-33650	81	6	local	local	ADJ
bracis-33650	81	7	outlier	outlier	NOUN
bracis-33650	81	8	forest	forest	NOUN
bracis-33650	81	9	(	(	PUNCT
bracis-33650	81	10	lof	lof	NOUN
bracis-33650	81	11	)	)	PUNCT
bracis-33650	81	12	variant	variant	NOUN
bracis-33650	81	13	with	with	ADP
bracis-33650	81	14	a	a	DET
bracis-33650	81	15	new	new	ADJ
bracis-33650	81	16	density	density	NOUN
bracis-33650	81	17	-	-	PUNCT
bracis-33650	81	18	based	base	VERB
bracis-33650	81	19	sampling	sampling	NOUN
bracis-33650	81	20	algorithm	algorithm	NOUN
bracis-33650	81	21	and	and	CCONJ
bracis-33650	81	22	distance	distance	NOUN
bracis-33650	81	23	approximation	approximation	NOUN
bracis-33650	81	24	technique	technique	NOUN
bracis-33650	81	25	.	.	PUNCT
bracis-33650	82	1	given	give	VERB
bracis-33650	82	2	the	the	DET
bracis-33650	82	3	ocl	ocl	PROPN
bracis-33650	82	4	challenge	challenge	NOUN
bracis-33650	82	5	of	of	ADP
bracis-33650	82	6	training	training	NOUN
bracis-33650	82	7	with	with	ADP
bracis-33650	82	8	one	one	NUM
bracis-33650	82	9	class	class	NOUN
bracis-33650	82	10	to	to	PART
bracis-33650	82	11	classify	classify	VERB
bracis-33650	82	12	two	two	NUM
bracis-33650	82	13	,	,	PUNCT
bracis-33650	82	14	generally	generally	ADV
bracis-33650	82	15	,	,	PUNCT
bracis-33650	82	16	the	the	DET
bracis-33650	82	17	algorithms	algorithm	NOUN
bracis-33650	82	18	use	use	VERB
bracis-33650	82	19	unsupervised	unsupervised	ADJ
bracis-33650	82	20	techniques	technique	NOUN
bracis-33650	82	21	to	to	PART
bracis-33650	82	22	improve	improve	VERB
bracis-33650	82	23	classification	classification	NOUN
bracis-33650	82	24	through	through	ADP
bracis-33650	82	25	ocl	ocl	PROPN
bracis-33650	82	26	,	,	PUNCT
bracis-33650	82	27	such	such	ADJ
bracis-33650	82	28	as	as	ADP
bracis-33650	82	29	clustering	cluster	VERB
bracis-33650	82	30	[	[	X
bracis-33650	82	31	9	9	NUM
bracis-33650	82	32	]	]	PUNCT
bracis-33650	82	33	or	or	CCONJ
bracis-33650	82	34	graph	graph	NOUN
bracis-33650	82	35	autoencoders	autoencoder	NOUN
bracis-33650	82	36	[	[	X
bracis-33650	82	37	7	7	NUM
bracis-33650	82	38	,	,	PUNCT
bracis-33650	82	39	10	10	NUM
bracis-33650	82	40	]	]	SYM
bracis-33650	82	41	techniques	technique	NOUN
bracis-33650	82	42	.	.	PUNCT
bracis-33650	83	1	custer	custer	NOUN
bracis-33650	83	2	-	-	PUNCT
bracis-33650	83	3	based	base	VERB
bracis-33650	83	4	one	one	NUM
bracis-33650	83	5	-	-	PUNCT
bracis-33650	83	6	class	class	NOUN
bracis-33650	83	7	learning	learning	NOUN
bracis-33650	83	8	for	for	ADP
bracis-33650	83	9	data	datum	NOUN
bracis-33650	83	10	stream	stream	NOUN
bracis-33650	83	11	.	.	PUNCT
bracis-33650	84	1	pioneering	pioneer	VERB
bracis-33650	84	2	[	[	X
bracis-33650	84	3	26	26	NUM
bracis-33650	84	4	]	]	PUNCT
bracis-33650	84	5	or	or	CCONJ
bracis-33650	84	6	more	more	ADV
bracis-33650	84	7	recent	recent	ADJ
bracis-33650	84	8	[	[	X
bracis-33650	84	9	6	6	NUM
bracis-33650	84	10	,	,	PUNCT
bracis-33650	84	11	18	18	NUM
bracis-33650	84	12	]	]	PUNCT
bracis-33650	84	13	methods	method	NOUN
bracis-33650	84	14	explore	explore	VERB
bracis-33650	84	15	a	a	DET
bracis-33650	84	16	standard	standard	ADJ
bracis-33650	84	17	strategy	strategy	NOUN
bracis-33650	84	18	to	to	PART
bracis-33650	84	19	apply	apply	VERB
bracis-33650	84	20	clustering	clustering	ADJ
bracis-33650	84	21	methods	method	NOUN
bracis-33650	84	22	of	of	ADP
bracis-33650	84	23	ocl	ocl	PROPN
bracis-33650	84	24	and	and	CCONJ
bracis-33650	84	25	data	datum	NOUN
bracis-33650	84	26	stream	stream	NOUN
bracis-33650	84	27	scenarios	scenario	NOUN
bracis-33650	84	28	.	.	PUNCT
bracis-33650	85	1	generally	generally	ADV
bracis-33650	85	2	,	,	PUNCT
bracis-33650	85	3	the	the	DET
bracis-33650	85	4	methods	method	NOUN
bracis-33650	85	5	apply	apply	VERB
bracis-33650	85	6	a	a	DET
bracis-33650	85	7	clustering	clustering	ADJ
bracis-33650	85	8	algorithm	algorithm	NOUN
bracis-33650	85	9	to	to	ADP
bracis-33650	85	10	the	the	DET
bracis-33650	85	11	training	training	NOUN
bracis-33650	85	12	data	datum	NOUN
bracis-33650	85	13	,	,	PUNCT
bracis-33650	85	14	i.e.	i.e.	X
bracis-33650	85	15	,	,	PUNCT
bracis-33650	85	16	to	to	ADP
bracis-33650	85	17	the	the	DET
bracis-33650	85	18	interest	interest	NOUN
bracis-33650	85	19	class	class	NOUN
bracis-33650	85	20	data	datum	NOUN
bracis-33650	85	21	(	(	PUNCT
bracis-33650	85	22	offline	offline	ADJ
bracis-33650	85	23	stage	stage	NOUN
bracis-33650	85	24	)	)	PUNCT
bracis-33650	85	25	,	,	PUNCT
bracis-33650	85	26	and	and	CCONJ
bracis-33650	85	27	,	,	PUNCT
bracis-33650	85	28	in	in	ADP
bracis-33650	85	29	the	the	DET
bracis-33650	85	30	online	online	ADJ
bracis-33650	85	31	scenario	scenario	NOUN
bracis-33650	85	32	,	,	PUNCT
bracis-33650	85	33	they	they	PRON
bracis-33650	85	34	apply	apply	VERB
bracis-33650	85	35	this	this	DET
bracis-33650	85	36	algorithm	algorithm	NOUN
bracis-33650	85	37	or	or	CCONJ
bracis-33650	85	38	more	more	ADJ
bracis-33650	85	39	clustering	clustering	ADJ
bracis-33650	85	40	algorithms	algorithm	NOUN
bracis-33650	85	41	on	on	ADP
bracis-33650	85	42	the	the	DET
bracis-33650	85	43	new	new	ADJ
bracis-33650	85	44	stream	stream	NOUN
bracis-33650	85	45	data	datum	NOUN
bracis-33650	85	46	to	to	PART
bracis-33650	85	47	detect	detect	VERB
bracis-33650	85	48	novelty	novelty	NOUN
bracis-33650	85	49	or	or	CCONJ
bracis-33650	85	50	the	the	DET
bracis-33650	85	51	interest	interest	NOUN
bracis-33650	85	52	class	class	NOUN
bracis-33650	85	53	.	.	PUNCT
bracis-33650	86	1	normally	normally	ADV
bracis-33650	86	2	,	,	PUNCT
bracis-33650	86	3	what	what	PRON
bracis-33650	86	4	differentiates	differentiate	VERB
bracis-33650	86	5	the	the	DET
bracis-33650	86	6	methods	method	NOUN
bracis-33650	86	7	is	be	AUX
bracis-33650	86	8	the	the	DET
bracis-33650	86	9	strategy	strategy	NOUN
bracis-33650	86	10	of	of	ADP
bracis-33650	86	11	the	the	DET
bracis-33650	86	12	online	online	ADJ
bracis-33650	86	13	stage	stage	NOUN
bracis-33650	86	14	.	.	PUNCT
bracis-33650	87	1	in	in	ADP
bracis-33650	87	2	this	this	DET
bracis-33650	87	3	sense	sense	NOUN
bracis-33650	87	4	,	,	PUNCT
bracis-33650	87	5	[	[	X
bracis-33650	87	6	26	26	NUM
bracis-33650	87	7	]	]	PUNCT
bracis-33650	87	8	proposed	propose	VERB
bracis-33650	87	9	olindda	olindda	NOUN
bracis-33650	87	10	,	,	PUNCT
bracis-33650	87	11	[	[	X
bracis-33650	87	12	6	6	NUM
bracis-33650	87	13	]	]	PUNCT
bracis-33650	87	14	proposed	propose	VERB
bracis-33650	87	15	minas	mina	NOUN
bracis-33650	87	16	,	,	PUNCT
bracis-33650	87	17	and	and	CCONJ
bracis-33650	87	18	[	[	X
bracis-33650	87	19	18	18	NUM
bracis-33650	87	20	]	]	PUNCT
bracis-33650	87	21	proposed	propose	VERB
bracis-33650	87	22	cdd	cdd	PROPN
bracis-33650	87	23	.	.	PUNCT
bracis-33650	88	1	all	all	PRON
bracis-33650	88	2	are	be	AUX
bracis-33650	88	3	clustering	cluster	VERB
bracis-33650	88	4	algorithms	algorithm	NOUN
bracis-33650	88	5	for	for	ADP
bracis-33650	88	6	detecting	detect	VERB
bracis-33650	88	7	novelties	novelty	NOUN
bracis-33650	88	8	in	in	ADP
bracis-33650	88	9	data	datum	NOUN
bracis-33650	88	10	streams	stream	NOUN
bracis-33650	88	11	.	.	PUNCT
bracis-33650	89	1	olindda	olindda	PROPN
bracis-33650	89	2	and	and	CCONJ
bracis-33650	89	3	cdd	cdd	PROPN
bracis-33650	89	4	are	be	AUX
bracis-33650	89	5	ocl	ocl	PROPN
bracis-33650	89	6	algorithms	algorithm	NOUN
bracis-33650	89	7	,	,	PUNCT
bracis-33650	89	8	and	and	CCONJ
bracis-33650	89	9	minas	mina	NOUN
bracis-33650	89	10	is	be	AUX
bracis-33650	89	11	a	a	DET
bracis-33650	89	12	multi	multi	ADJ
bracis-33650	89	13	-	-	ADJ
bracis-33650	89	14	class	class	ADJ
bracis-33650	89	15	algorithm	algorithm	NOUN
bracis-33650	89	16	that	that	PRON
bracis-33650	89	17	works	work	VERB
bracis-33650	89	18	in	in	ADP
bracis-33650	89	19	the	the	DET
bracis-33650	89	20	ocl	ocl	PROPN
bracis-33650	89	21	scenario	scenario	PROPN
bracis-33650	89	22	.	.	PUNCT
bracis-33650	90	1	as	as	ADP
bracis-33650	90	2	in	in	ADP
bracis-33650	90	3	classical	classical	ADJ
bracis-33650	90	4	algorithms	algorithm	NOUN
bracis-33650	90	5	,	,	PUNCT
bracis-33650	90	6	in	in	ADP
bracis-33650	90	7	those	those	PRON
bracis-33650	90	8	based	base	VERB
bracis-33650	90	9	on	on	ADP
bracis-33650	90	10	clustering	clustering	NOUN
bracis-33650	90	11	,	,	PUNCT
bracis-33650	90	12	there	there	PRON
bracis-33650	90	13	is	be	VERB
bracis-33650	90	14	a	a	DET
bracis-33650	90	15	gap	gap	NOUN
bracis-33650	90	16	in	in	ADP
bracis-33650	90	17	interpretability	interpretability	NOUN
bracis-33650	90	18	.	.	PUNCT
bracis-33650	91	1	however	however	ADV
bracis-33650	91	2	,	,	PUNCT
bracis-33650	91	3	we	we	PRON
bracis-33650	91	4	can	can	AUX
bracis-33650	91	5	explore	explore	VERB
bracis-33650	91	6	another	another	DET
bracis-33650	91	7	relevant	relevant	ADJ
bracis-33650	91	8	data	data	NOUN
bracis-33650	91	9	-	-	PUNCT
bracis-33650	91	10	streaming	streaming	NOUN
bracis-33650	91	11	strategy	strategy	NOUN
bracis-33650	91	12	based	base	VERB
bracis-33650	91	13	on	on	ADP
bracis-33650	91	14	graph	graph	NOUN
bracis-33650	91	15	neural	neural	ADJ
bracis-33650	91	16	networks	network	NOUN
bracis-33650	91	17	to	to	PART
bracis-33650	91	18	obtain	obtain	VERB
bracis-33650	91	19	interpretability	interpretability	NOUN
bracis-33650	91	20	[	[	X
bracis-33650	91	21	13	13	NUM
bracis-33650	91	22	]	]	PUNCT
bracis-33650	91	23	.	.	PUNCT
bracis-33650	92	1	graph	graph	VERB
bracis-33650	92	2	neural	neural	ADJ
bracis-33650	92	3	networks	network	NOUN
bracis-33650	92	4	for	for	ADP
bracis-33650	92	5	data	datum	NOUN
bracis-33650	92	6	stream	stream	NOUN
bracis-33650	92	7	.	.	PUNCT
bracis-33650	93	1	graphs	graph	NOUN
bracis-33650	93	2	explicit	explicit	ADJ
bracis-33650	93	3	relations	relation	NOUN
bracis-33650	93	4	between	between	ADP
bracis-33650	93	5	entities	entity	NOUN
bracis-33650	93	6	and	and	CCONJ
bracis-33650	93	7	these	these	DET
bracis-33650	93	8	relationships	relationship	NOUN
bracis-33650	93	9	can	can	AUX
bracis-33650	93	10	bring	bring	VERB
bracis-33650	93	11	relevant	relevant	ADJ
bracis-33650	93	12	information	information	NOUN
bracis-33650	93	13	to	to	ADP
bracis-33650	93	14	the	the	DET
bracis-33650	93	15	data	datum	NOUN
bracis-33650	93	16	stream	stream	NOUN
bracis-33650	93	17	field	field	NOUN
bracis-33650	93	18	because	because	SCONJ
bracis-33650	93	19	they	they	PRON
bracis-33650	93	20	add	add	VERB
bracis-33650	93	21	information	information	NOUN
bracis-33650	93	22	about	about	ADP
bracis-33650	93	23	the	the	DET
bracis-33650	93	24	new	new	ADJ
bracis-33650	93	25	data	datum	NOUN
bracis-33650	93	26	,	,	PUNCT
bracis-33650	93	27	which	which	PRON
bracis-33650	93	28	is	be	AUX
bracis-33650	93	29	better	well	ADJ
bracis-33650	93	30	for	for	ADP
bracis-33650	93	31	the	the	DET
bracis-33650	93	32	model	model	NOUN
bracis-33650	93	33	[	[	X
bracis-33650	93	34	4	4	NUM
bracis-33650	93	35	,	,	PUNCT
bracis-33650	93	36	17	17	NUM
bracis-33650	93	37	]	]	PUNCT
bracis-33650	93	38	.	.	PUNCT
bracis-33650	94	1	still	still	ADV
bracis-33650	94	2	,	,	PUNCT
bracis-33650	94	3	gnns	gnns	PROPN
bracis-33650	94	4	have	have	AUX
bracis-33650	94	5	been	be	AUX
bracis-33650	94	6	explored	explore	VERB
bracis-33650	94	7	and	and	CCONJ
bracis-33650	94	8	have	have	VERB
bracis-33650	94	9	state	state	NOUN
bracis-33650	94	10	-	-	PUNCT
bracis-33650	94	11	of	of	ADP
bracis-33650	94	12	-	-	PUNCT
bracis-33650	94	13	the	the	DET
bracis-33650	94	14	-	-	PUNCT
bracis-33650	94	15	art	art	NOUN
bracis-33650	94	16	results	result	NOUN
bracis-33650	94	17	in	in	ADP
bracis-33650	94	18	different	different	ADJ
bracis-33650	94	19	domains	domain	NOUN
bracis-33650	94	20	[	[	X
bracis-33650	94	21	5	5	NUM
bracis-33650	94	22	]	]	PUNCT
bracis-33650	94	23	.	.	PUNCT
bracis-33650	95	1	thus	thus	ADV
bracis-33650	95	2	,	,	PUNCT
bracis-33650	95	3	studies	study	NOUN
bracis-33650	95	4	have	have	AUX
bracis-33650	95	5	explored	explore	VERB
bracis-33650	95	6	gnns	gnn	NOUN
bracis-33650	95	7	to	to	PART
bracis-33650	95	8	improve	improve	VERB
bracis-33650	95	9	the	the	DET
bracis-33650	95	10	classification	classification	NOUN
bracis-33650	95	11	performance	performance	NOUN
bracis-33650	95	12	in	in	ADP
bracis-33650	95	13	data	data	NOUN
bracis-33650	95	14	stream	stream	NOUN
bracis-33650	95	15	[	[	X
bracis-33650	95	16	13	13	NUM
bracis-33650	95	17	]	]	PUNCT
bracis-33650	95	18	.	.	PUNCT
bracis-33650	96	1	gnn	gnn	PROPN
bracis-33650	96	2	works	work	NOUN
bracis-33650	96	3	focus	focus	VERB
bracis-33650	96	4	on	on	ADP
bracis-33650	96	5	proposing	propose	VERB
bracis-33650	96	6	new	new	ADJ
bracis-33650	96	7	adaptive	adaptive	ADJ
bracis-33650	96	8	gnn	gnn	NOUN
bracis-33650	96	9	layers	layer	NOUN
bracis-33650	96	10	for	for	ADP
bracis-33650	96	11	data	datum	NOUN
bracis-33650	96	12	stream	stream	NOUN
bracis-33650	96	13	[	[	X
bracis-33650	96	14	17	17	NUM
bracis-33650	96	15	]	]	PUNCT
bracis-33650	96	16	,	,	PUNCT
bracis-33650	96	17	specific	specific	ADJ
bracis-33650	96	18	methods	method	NOUN
bracis-33650	96	19	for	for	ADP
bracis-33650	96	20	anomaly	anomaly	NOUN
bracis-33650	96	21	detection	detection	NOUN
bracis-33650	96	22	or	or	CCONJ
bracis-33650	96	23	novelty	novelty	NOUN
bracis-33650	96	24	detection	detection	NOUN
bracis-33650	96	25	[	[	X
bracis-33650	96	26	4	4	NUM
bracis-33650	96	27	]	]	PUNCT
bracis-33650	96	28	,	,	PUNCT
bracis-33650	96	29	and	and	CCONJ
bracis-33650	96	30	focusing	focus	VERB
bracis-33650	96	31	on	on	ADP
bracis-33650	96	32	binary	binary	ADJ
bracis-33650	96	33	or	or	CCONJ
bracis-33650	96	34	multi	multi	ADJ
bracis-33650	96	35	-	-	ADJ
bracis-33650	96	36	class	class	ADJ
bracis-33650	96	37	classification	classification	NOUN
bracis-33650	96	38	.	.	PUNCT
bracis-33650	97	1	in	in	ADP
bracis-33650	97	2	the	the	DET
bracis-33650	97	3	ocl	ocl	PROPN
bracis-33650	97	4	,	,	PUNCT
bracis-33650	97	5	the	the	DET
bracis-33650	97	6	use	use	NOUN
bracis-33650	97	7	of	of	ADP
bracis-33650	97	8	gnns	gnns	NOUN
bracis-33650	97	9	focuses	focus	VERB
bracis-33650	97	10	on	on	ADP
bracis-33650	97	11	unsupervised	unsupervised	ADJ
bracis-33650	97	12	techniques	technique	NOUN
bracis-33650	97	13	such	such	ADJ
bracis-33650	97	14	as	as	ADP
bracis-33650	97	15	graph	graph	NOUN
bracis-33650	97	16	autoencoders	autoencoder	NOUN
bracis-33650	97	17	[	[	X
bracis-33650	97	18	7	7	NUM
bracis-33650	97	19	,	,	PUNCT
bracis-33650	97	20	10	10	NUM
bracis-33650	97	21	]	]	PUNCT
bracis-33650	97	22	or	or	CCONJ
bracis-33650	97	23	end	end	NOUN
bracis-33650	97	24	-	-	PUNCT
bracis-33650	97	25	to	to	ADP
bracis-33650	97	26	-	-	PUNCT
bracis-33650	97	27	end	end	NOUN
bracis-33650	97	28	techniques	technique	NOUN
bracis-33650	97	29	with	with	ADP
bracis-33650	97	30	loss	loss	NOUN
bracis-33650	97	31	functions	function	NOUN
bracis-33650	97	32	specialized	specialize	VERB
bracis-33650	97	33	for	for	ADP
bracis-33650	97	34	ocl	ocl	PROPN
bracis-33650	98	1	[	[	X
bracis-33650	98	2	11	11	NUM
bracis-33650	98	3	]	]	PUNCT
bracis-33650	98	4	.	.	PUNCT
bracis-33650	99	1	even	even	ADV
bracis-33650	99	2	though	though	SCONJ
bracis-33650	99	3	graphs	graph	NOUN
bracis-33650	99	4	bring	bring	VERB
bracis-33650	99	5	relevant	relevant	ADJ
bracis-33650	99	6	information	information	NOUN
bracis-33650	99	7	about	about	ADP
bracis-33650	99	8	relations	relation	NOUN
bracis-33650	99	9	to	to	ADP
bracis-33650	99	10	data	datum	NOUN
bracis-33650	99	11	and	and	CCONJ
bracis-33650	99	12	obtain	obtain	VERB
bracis-33650	99	13	state	state	NOUN
bracis-33650	99	14	-	-	PUNCT
bracis-33650	99	15	of	of	ADP
bracis-33650	99	16	-	-	PUNCT
bracis-33650	99	17	the	the	DET
bracis-33650	99	18	-	-	PUNCT
bracis-33650	99	19	art	art	NOUN
bracis-33650	99	20	results	result	NOUN
bracis-33650	99	21	for	for	ADP
bracis-33650	99	22	data	datum	NOUN
bracis-33650	99	23	streams	stream	NOUN
bracis-33650	99	24	or	or	CCONJ
bracis-33650	99	25	for	for	ADP
bracis-33650	99	26	one	one	NUM
bracis-33650	99	27	-	-	PUNCT
bracis-33650	99	28	class	class	NOUN
bracis-33650	99	29	learning	learning	NOUN
bracis-33650	99	30	,	,	PUNCT
bracis-33650	99	31	to	to	ADP
bracis-33650	99	32	our	our	PRON
bracis-33650	99	33	knowledge	knowledge	NOUN
bracis-33650	99	34	,	,	PUNCT
bracis-33650	99	35	there	there	PRON
bracis-33650	99	36	are	be	VERB
bracis-33650	99	37	no	no	DET
bracis-33650	99	38	methods	method	NOUN
bracis-33650	99	39	based	base	VERB
bracis-33650	99	40	on	on	ADP
bracis-33650	99	41	gnns	gnns	PROPN
bracis-33650	99	42	and	and	CCONJ
bracis-33650	99	43	ocl	ocl	PROPN
bracis-33650	99	44	for	for	ADP
bracis-33650	99	45	data	datum	NOUN
bracis-33650	99	46	streams	stream	NOUN
bracis-33650	99	47	.	.	PUNCT
bracis-33650	100	1	in	in	ADP
bracis-33650	100	2	this	this	DET
bracis-33650	100	3	sense	sense	NOUN
bracis-33650	100	4	,	,	PUNCT
bracis-33650	100	5	in	in	ADP
bracis-33650	100	6	the	the	DET
bracis-33650	100	7	next	next	ADJ
bracis-33650	100	8	section	section	NOUN
bracis-33650	100	9	,	,	PUNCT
bracis-33650	100	10	we	we	PRON
bracis-33650	100	11	present	present	VERB
bracis-33650	100	12	an	an	DET
bracis-33650	100	13	ocl	ocl	PROPN
bracis-33650	100	14	method	method	NOUN
bracis-33650	100	15	based	base	VERB
bracis-33650	100	16	on	on	ADP
bracis-33650	100	17	gnns	gnns	NOUN
bracis-33650	100	18	for	for	ADP
bracis-33650	100	19	the	the	DET
bracis-33650	100	20	data	data	NOUN
bracis-33650	100	21	stream	stream	NOUN
bracis-33650	100	22	.	.	PUNCT
bracis-33650	101	1	4	4	NUM
bracis-33650	101	2	opencast	opencast	NOUN
bracis-33650	101	3	:	:	PUNCT
bracis-33650	101	4	one	one	NUM
bracis-33650	101	5	-	-	PUNCT
bracis-33650	101	6	class	class	NOUN
bracis-33650	101	7	graph	graph	NOUN
bracis-33650	101	8	autoencoder	autoencoder	NOUN
bracis-33650	101	9	for	for	ADP
bracis-33650	101	10	 	 	SPACE
bracis-33650	101	11	data	datum	NOUN
bracis-33650	101	12	stream	stream	NOUN
bracis-33650	101	13	we	we	PRON
bracis-33650	101	14	propose	propose	VERB
bracis-33650	101	15	a	a	DET
bracis-33650	101	16	novel	novel	ADJ
bracis-33650	101	17	method	method	NOUN
bracis-33650	101	18	called	call	VERB
bracis-33650	101	19	one	one	NUM
bracis-33650	101	20	-	-	PUNCT
bracis-33650	101	21	class	class	NOUN
bracis-33650	101	22	graph	graph	NOUN
bracis-33650	101	23	autoencoder	autoencoder	NOUN
bracis-33650	101	24	for	for	ADP
bracis-33650	101	25	data	data	NOUN
bracis-33650	101	26	stream	stream	NOUN
bracis-33650	101	27	(	(	PUNCT
bracis-33650	101	28	opencast	opencast	NOUN
bracis-33650	101	29	)	)	PUNCT
bracis-33650	101	30	.	.	PUNCT
bracis-33650	102	1	our	our	PRON
bracis-33650	102	2	method	method	NOUN
bracis-33650	102	3	for	for	ADP
bracis-33650	102	4	data	datum	NOUN
bracis-33650	102	5	streams	stream	NOUN
bracis-33650	102	6	is	be	AUX
bracis-33650	102	7	based	base	VERB
bracis-33650	102	8	on	on	ADP
bracis-33650	102	9	ocl	ocl	PROPN
bracis-33650	102	10	and	and	CCONJ
bracis-33650	102	11	gnns	gnns	NOUN
bracis-33650	102	12	.	.	PUNCT
bracis-33650	103	1	we	we	PRON
bracis-33650	103	2	explore	explore	VERB
bracis-33650	103	3	a	a	DET
bracis-33650	103	4	state	state	NOUN
bracis-33650	103	5	-	-	PUNCT
bracis-33650	103	6	of	of	ADP
bracis-33650	103	7	-	-	PUNCT
bracis-33650	103	8	the	the	DET
bracis-33650	103	9	-	-	PUNCT
bracis-33650	103	10	art	art	NOUN
bracis-33650	103	11	loss	loss	NOUN
bracis-33650	103	12	function	function	NOUN
bracis-33650	103	13	to	to	PART
bracis-33650	103	14	encapsulate	encapsulate	VERB
bracis-33650	103	15	interest	interest	NOUN
bracis-33650	103	16	instances	instance	NOUN
bracis-33650	103	17	closer	close	ADV
bracis-33650	103	18	to	to	ADP
bracis-33650	103	19	the	the	DET
bracis-33650	103	20	center	center	NOUN
bracis-33650	103	21	within	within	ADP
bracis-33650	103	22	the	the	DET
bracis-33650	103	23	hypersphere	hypersphere	NOUN
bracis-33650	103	24	.	.	PUNCT
bracis-33650	104	1	opencast	opencast	NOUN
bracis-33650	104	2	learns	learn	VERB
bracis-33650	104	3	a	a	DET
bracis-33650	104	4	new	new	ADJ
bracis-33650	104	5	low	low	ADJ
bracis-33650	104	6	-	-	PUNCT
bracis-33650	104	7	dimensional	dimensional	ADJ
bracis-33650	104	8	latent	latent	NOUN
bracis-33650	104	9	space	space	NOUN
bracis-33650	104	10	,	,	PUNCT
bracis-33650	104	11	where	where	SCONJ
bracis-33650	104	12	interest	interest	NOUN
bracis-33650	104	13	instances	instance	NOUN
bracis-33650	104	14	are	be	AUX
bracis-33650	104	15	positioned	position	VERB
bracis-33650	104	16	inside	inside	ADP
bracis-33650	104	17	a	a	DET
bracis-33650	104	18	hypersphere	hypersphere	NOUN
bracis-33650	104	19	.	.	PUNCT
bracis-33650	105	1	we	we	PRON
bracis-33650	105	2	learn	learn	VERB
bracis-33650	105	3	the	the	DET
bracis-33650	105	4	new	new	ADJ
bracis-33650	105	5	space	space	NOUN
bracis-33650	105	6	through	through	ADP
bracis-33650	105	7	a	a	DET
bracis-33650	105	8	gae	gae	NOUN
bracis-33650	105	9	to	to	PART
bracis-33650	105	10	explore	explore	VERB
bracis-33650	105	11	the	the	DET
bracis-33650	105	12	reconstruction	reconstruction	NOUN
bracis-33650	105	13	loss	loss	NOUN
bracis-33650	105	14	.	.	PUNCT
bracis-33650	106	1	thus	thus	ADV
bracis-33650	106	2	,	,	PUNCT
bracis-33650	106	3	we	we	PRON
bracis-33650	106	4	introduce	introduce	VERB
bracis-33650	106	5	a	a	DET
bracis-33650	106	6	final	final	ADJ
bracis-33650	106	7	loss	loss	NOUN
bracis-33650	106	8	function	function	NOUN
bracis-33650	106	9	that	that	PRON
bracis-33650	106	10	combines	combine	VERB
bracis-33650	106	11	the	the	DET
bracis-33650	106	12	hypersphere	hypersphere	NOUN
bracis-33650	106	13	loss	loss	NOUN
bracis-33650	106	14	function	function	NOUN
bracis-33650	106	15	with	with	ADP
bracis-33650	106	16	the	the	DET
bracis-33650	106	17	reconstruction	reconstruction	NOUN
bracis-33650	106	18	loss	loss	NOUN
bracis-33650	106	19	function	function	NOUN
bracis-33650	106	20	,	,	PUNCT
bracis-33650	106	21	considering	consider	VERB
bracis-33650	106	22	a	a	DET
bracis-33650	106	23	weight	weight	NOUN
bracis-33650	106	24	to	to	PART
bracis-33650	106	25	control	control	VERB
bracis-33650	106	26	the	the	DET
bracis-33650	106	27	impact	impact	NOUN
bracis-33650	106	28	of	of	ADP
bracis-33650	106	29	each	each	DET
bracis-33650	106	30	loss	loss	NOUN
bracis-33650	106	31	function	function	NOUN
bracis-33650	106	32	in	in	ADP
bracis-33650	106	33	the	the	DET
bracis-33650	106	34	learning	learning	NOUN
bracis-33650	106	35	since	since	SCONJ
bracis-33650	106	36	we	we	PRON
bracis-33650	106	37	have	have	VERB
bracis-33650	106	38	the	the	DET
bracis-33650	106	39	concept	concept	NOUN
bracis-33650	106	40	drift	drift	NOUN
bracis-33650	106	41	of	of	ADP
bracis-33650	106	42	the	the	DET
bracis-33650	106	43	interest	interest	NOUN
bracis-33650	106	44	class	class	NOUN
bracis-33650	106	45	in	in	ADP
bracis-33650	106	46	the	the	DET
bracis-33650	106	47	data	data	NOUN
bracis-33650	106	48	stream	stream	NOUN
bracis-33650	106	49	scenario	scenario	PROPN
bracis-33650	106	50	.	.	PUNCT
bracis-33650	107	1	the	the	DET
bracis-33650	107	2	first	first	ADJ
bracis-33650	107	3	step	step	NOUN
bracis-33650	107	4	of	of	ADP
bracis-33650	107	5	our	our	PRON
bracis-33650	107	6	method	method	NOUN
bracis-33650	107	7	is	be	AUX
bracis-33650	107	8	modeling	model	VERB
bracis-33650	107	9	the	the	DET
bracis-33650	107	10	data	datum	NOUN
bracis-33650	107	11	stream	stream	VERB
bracis-33650	107	12	through	through	ADP
bracis-33650	107	13	graphs	graph	NOUN
bracis-33650	107	14	.	.	PUNCT
bracis-33650	108	1	in	in	ADP
bracis-33650	108	2	this	this	DET
bracis-33650	108	3	modeling	modeling	NOUN
bracis-33650	108	4	,	,	PUNCT
bracis-33650	108	5	heterophilic	heterophilic	ADJ
bracis-33650	108	6	graphs	graph	NOUN
bracis-33650	108	7	can	can	AUX
bracis-33650	108	8	be	be	AUX
bracis-33650	108	9	generated	generate	VERB
bracis-33650	108	10	,	,	PUNCT
bracis-33650	108	11	given	give	VERB
bracis-33650	108	12	the	the	DET
bracis-33650	108	13	concept	concept	NOUN
bracis-33650	108	14	drift	drift	NOUN
bracis-33650	108	15	present	present	NOUN
bracis-33650	108	16	in	in	ADP
bracis-33650	108	17	the	the	DET
bracis-33650	108	18	data	data	NOUN
bracis-33650	108	19	stream	stream	NOUN
bracis-33650	108	20	,	,	PUNCT
bracis-33650	108	21	i.e.	i.e.	X
bracis-33650	108	22	,	,	PUNCT
bracis-33650	108	23	change	change	NOUN
bracis-33650	108	24	in	in	ADP
bracis-33650	108	25	the	the	DET
bracis-33650	108	26	class	class	NOUN
bracis-33650	108	27	of	of	ADP
bracis-33650	108	28	interest	interest	NOUN
bracis-33650	108	29	or	or	CCONJ
bracis-33650	108	30	class	class	NOUN
bracis-33650	108	31	of	of	ADP
bracis-33650	108	32	non	non	NOUN
bracis-33650	108	33	-	-	NOUN
bracis-33650	108	34	interest	interest	NOUN
bracis-33650	108	35	[	[	X
bracis-33650	108	36	33	33	NUM
bracis-33650	108	37	]	]	PUNCT
bracis-33650	108	38	.	.	PUNCT
bracis-33650	109	1	heterophilic	heterophilic	ADJ
bracis-33650	109	2	graphs	graph	NOUN
bracis-33650	109	3	are	be	AUX
bracis-33650	109	4	graphs	graph	NOUN
bracis-33650	109	5	in	in	ADP
bracis-33650	109	6	which	which	PRON
bracis-33650	109	7	many	many	ADJ
bracis-33650	109	8	nodes	node	NOUN
bracis-33650	109	9	from	from	ADP
bracis-33650	109	10	different	different	ADJ
bracis-33650	109	11	classes	class	NOUN
bracis-33650	109	12	are	be	AUX
bracis-33650	109	13	connected	connect	VERB
bracis-33650	109	14	.	.	PUNCT
bracis-33650	110	1	with	with	ADP
bracis-33650	110	2	the	the	DET
bracis-33650	110	3	concept	concept	NOUN
bracis-33650	110	4	drift	drift	NOUN
bracis-33650	110	5	of	of	ADP
bracis-33650	110	6	the	the	DET
bracis-33650	110	7	interest	interest	NOUN
bracis-33650	110	8	class	class	NOUN
bracis-33650	110	9	,	,	PUNCT
bracis-33650	110	10	nodes	node	NOUN
bracis-33650	110	11	of	of	ADP
bracis-33650	110	12	the	the	DET
bracis-33650	110	13	interest	interest	NOUN
bracis-33650	110	14	class	class	NOUN
bracis-33650	110	15	can	can	AUX
bracis-33650	110	16	connect	connect	VERB
bracis-33650	110	17	with	with	ADP
bracis-33650	110	18	nodes	node	NOUN
bracis-33650	110	19	of	of	ADP
bracis-33650	110	20	non	non	ADJ
bracis-33650	110	21	-	-	NOUN
bracis-33650	110	22	interest	interest	NOUN
bracis-33650	110	23	[	[	X
bracis-33650	110	24	16	16	NUM
bracis-33650	110	25	]	]	PUNCT
bracis-33650	110	26	.	.	PUNCT
bracis-33650	111	1	when	when	SCONJ
bracis-33650	111	2	using	use	VERB
bracis-33650	111	3	traditional	traditional	ADJ
bracis-33650	111	4	gnn	gnn	NOUN
bracis-33650	111	5	layers	layer	NOUN
bracis-33650	111	6	,	,	PUNCT
bracis-33650	111	7	as	as	ADV
bracis-33650	111	8	well	well	ADV
bracis-33650	111	9	as	as	ADP
bracis-33650	111	10	in	in	ADP
bracis-33650	111	11	works	work	NOUN
bracis-33650	111	12	of	of	ADP
bracis-33650	111	13	one	one	NUM
bracis-33650	111	14	-	-	PUNCT
bracis-33650	111	15	class	class	NOUN
bracis-33650	111	16	graph	graph	NOUN
bracis-33650	111	17	neural	neural	ADJ
bracis-33650	111	18	networks	network	NOUN
bracis-33650	111	19	[	[	X
bracis-33650	111	20	7	7	NUM
bracis-33650	111	21	,	,	PUNCT
bracis-33650	111	22	11	11	NUM
bracis-33650	111	23	,	,	PUNCT
bracis-33650	111	24	30	30	NUM
bracis-33650	111	25	]	]	PUNCT
bracis-33650	111	26	,	,	PUNCT
bracis-33650	111	27	information	information	NOUN
bracis-33650	111	28	from	from	ADP
bracis-33650	111	29	all	all	DET
bracis-33650	111	30	connected	connect	VERB
bracis-33650	111	31	nodes	node	NOUN
bracis-33650	111	32	are	be	AUX
bracis-33650	111	33	aggregated	aggregate	VERB
bracis-33650	111	34	,	,	PUNCT
bracis-33650	111	35	i.e.	i.e.	X
bracis-33650	111	36	,	,	PUNCT
bracis-33650	111	37	nodes	node	NOUN
bracis-33650	111	38	of	of	ADP
bracis-33650	111	39	non	non	ADJ
bracis-33650	111	40	-	-	ADJ
bracis-33650	111	41	interest	interest	NOUN
bracis-33650	111	42	can	can	AUX
bracis-33650	111	43	pass	pass	VERB
bracis-33650	111	44	representation	representation	NOUN
bracis-33650	111	45	information	information	NOUN
bracis-33650	111	46	to	to	ADP
bracis-33650	111	47	a	a	DET
bracis-33650	111	48	node	node	NOUN
bracis-33650	111	49	of	of	ADP
bracis-33650	111	50	interest	interest	NOUN
bracis-33650	111	51	,	,	PUNCT
bracis-33650	111	52	which	which	PRON
bracis-33650	111	53	is	be	AUX
bracis-33650	111	54	harmful	harmful	ADJ
bracis-33650	111	55	to	to	ADP
bracis-33650	111	56	ocl	ocl	PROPN
bracis-33650	111	57	.	.	PUNCT
bracis-33650	112	1	thus	thus	ADV
bracis-33650	112	2	,	,	PUNCT
bracis-33650	112	3	our	our	PRON
bracis-33650	112	4	first	first	ADJ
bracis-33650	112	5	innovation	innovation	NOUN
bracis-33650	112	6	is	be	AUX
bracis-33650	112	7	based	base	VERB
bracis-33650	112	8	on	on	ADP
bracis-33650	112	9	our	our	PRON
bracis-33650	112	10	method	method	NOUN
bracis-33650	112	11	of	of	ADP
bracis-33650	112	12	gnn	gnn	PROPN
bracis-33650	112	13	layers	layer	NOUN
bracis-33650	112	14	for	for	ADP
bracis-33650	112	15	heterophilic	heterophilic	ADJ
bracis-33650	112	16	graphs	graph	NOUN
bracis-33650	112	17	.	.	PUNCT
bracis-33650	113	1	we	we	PRON
bracis-33650	113	2	chose	choose	VERB
bracis-33650	113	3	the	the	DET
bracis-33650	113	4	faconv	faconv	ADJ
bracis-33650	113	5	layer	layer	NOUN
bracis-33650	113	6	because	because	SCONJ
bracis-33650	113	7	it	it	PRON
bracis-33650	113	8	can	can	AUX
bracis-33650	113	9	learn	learn	VERB
bracis-33650	113	10	weights	weight	NOUN
bracis-33650	113	11	for	for	ADP
bracis-33650	113	12	the	the	DET
bracis-33650	113	13	edges	edge	NOUN
bracis-33650	113	14	and	and	CCONJ
bracis-33650	113	15	minimize	minimize	VERB
bracis-33650	113	16	the	the	DET
bracis-33650	113	17	problem	problem	NOUN
bracis-33650	113	18	of	of	ADP
bracis-33650	113	19	aggregating	aggregate	VERB
bracis-33650	113	20	information	information	NOUN
bracis-33650	113	21	from	from	ADP
bracis-33650	113	22	nodes	node	NOUN
bracis-33650	113	23	of	of	ADP
bracis-33650	113	24	different	different	ADJ
bracis-33650	113	25	classes	class	NOUN
bracis-33650	113	26	[	[	X
bracis-33650	113	27	3	3	NUM
bracis-33650	113	28	]	]	PUNCT
bracis-33650	113	29	.	.	PUNCT
bracis-33650	114	1	faconv	faconv	PROPN
bracis-33650	114	2	uses	use	VERB
bracis-33650	114	3	an	an	DET
bracis-33650	114	4	aggregation	aggregation	NOUN
bracis-33650	114	5	and	and	CCONJ
bracis-33650	114	6	combination	combination	NOUN
bracis-33650	114	7	function	function	NOUN
bracis-33650	114	8	presented	present	VERB
bracis-33650	114	9	in	in	ADP
bracis-33650	114	10	eq	eq	ADP
bracis-33650	114	11	.	.	PROPN
bracis-33650	114	12	5	5	NUM
bracis-33650	115	1	[	[	SYM
bracis-33650	115	2	3	3	NUM
bracis-33650	115	3	]	]	PUNCT
bracis-33650	115	4	.	.	PUNCT
bracis-33650	116	1	in	in	ADP
bracis-33650	116	2	which	which	PRON
bracis-33650	116	3	,	,	PUNCT
bracis-33650	116	4	\(\boldsymbol{h}_{v_i}^0\	\(\boldsymbol{h}_{v_i}^0\	PROPN
bracis-33650	116	5	)	)	PUNCT
bracis-33650	116	6	is	be	AUX
bracis-33650	116	7	the	the	DET
bracis-33650	116	8	initial	initial	ADJ
bracis-33650	116	9	\(v_i\	\(v_i\	NOUN
bracis-33650	116	10	)	)	PUNCT
bracis-33650	116	11	representation	representation	NOUN
bracis-33650	116	12	,	,	PUNCT
bracis-33650	116	13	\(\epsilon	\(\epsilon	NOUN
bracis-33650	116	14	\	\	NOUN
bracis-33650	116	15	)	)	PUNCT
bracis-33650	116	16	is	be	AUX
bracis-33650	116	17	a	a	DET
bracis-33650	116	18	factor	factor	NOUN
bracis-33650	116	19	to	to	PART
bracis-33650	116	20	keep	keep	VERB
bracis-33650	116	21	the	the	DET
bracis-33650	116	22	generated	generate	VERB
bracis-33650	116	23	representation	representation	NOUN
bracis-33650	116	24	close	close	ADV
bracis-33650	116	25	to	to	ADP
bracis-33650	116	26	the	the	DET
bracis-33650	116	27	initial	initial	ADJ
bracis-33650	116	28	representation	representation	NOUN
bracis-33650	116	29	,	,	PUNCT
bracis-33650	116	30	\(d_i\	\(d_i\	NOUN
bracis-33650	116	31	)	)	PUNCT
bracis-33650	117	1	is	be	AUX
bracis-33650	117	2	the	the	DET
bracis-33650	117	3	node	node	ADJ
bracis-33650	117	4	degree	degree	NOUN
bracis-33650	117	5	of	of	ADP
bracis-33650	117	6	node	node	PROPN
bracis-33650	117	7	i	i	PROPN
bracis-33650	117	8	,	,	PUNCT
bracis-33650	117	9	and	and	CCONJ
bracis-33650	117	10	the	the	DET
bracis-33650	117	11	attention	attention	NOUN
bracis-33650	117	12	coefficients	coefficient	NOUN
bracis-33650	117	13	\(\alpha	\(\alpha	VERB
bracis-33650	117	14	_	_	NOUN
bracis-33650	117	15	{	{	PUNCT
bracis-33650	117	16	i	i	PRON
bracis-33650	117	17	,	,	PUNCT
bracis-33650	117	18	j}\	j}\	PROPN
bracis-33650	117	19	)	)	PUNCT
bracis-33650	117	20	are	be	AUX
bracis-33650	117	21	computed	compute	VERB
bracis-33650	117	22	as	as	SCONJ
bracis-33650	117	23	presented	present	VERB
bracis-33650	117	24	in	in	ADP
bracis-33650	117	25	the	the	DET
bracis-33650	117	26	eq	eq	NOUN
bracis-33650	117	27	.	.	PROPN
bracis-33650	117	28	6	6	NUM
bracis-33650	117	29	.	.	X
bracis-33650	118	1	the	the	PRON
bracis-33650	118	2	state	state	NOUN
bracis-33650	118	3	-	-	PUNCT
bracis-33650	118	4	of	of	ADP
bracis-33650	118	5	-	-	PUNCT
bracis-33650	118	6	the	the	DET
bracis-33650	118	7	-	-	PUNCT
bracis-33650	118	8	art	art	NOUN
bracis-33650	118	9	for	for	ADP
bracis-33650	118	10	ocl	ocl	PROPN
bracis-33650	118	11	through	through	ADP
bracis-33650	118	12	gnns	gnns	PROPN
bracis-33650	118	13	is	be	AUX
bracis-33650	118	14	formed	form	VERB
bracis-33650	118	15	by	by	ADP
bracis-33650	118	16	gnns	gnn	NOUN
bracis-33650	118	17	that	that	PRON
bracis-33650	118	18	exploit	exploit	VERB
bracis-33650	118	19	loss	loss	NOUN
bracis-33650	118	20	functions	function	NOUN
bracis-33650	118	21	based	base	VERB
bracis-33650	118	22	on	on	ADP
bracis-33650	118	23	hyperspheres	hypersphere	NOUN
bracis-33650	118	24	[	[	X
bracis-33650	118	25	11	11	NUM
bracis-33650	118	26	,	,	PUNCT
bracis-33650	118	27	30	30	NUM
bracis-33650	118	28	]	]	PUNCT
bracis-33650	118	29	.	.	PUNCT
bracis-33650	119	1	these	these	DET
bracis-33650	119	2	methods	method	NOUN
bracis-33650	119	3	learn	learn	VERB
bracis-33650	119	4	representations	representation	NOUN
bracis-33650	119	5	for	for	ADP
bracis-33650	119	6	the	the	DET
bracis-33650	119	7	nodes	node	NOUN
bracis-33650	119	8	while	while	SCONJ
bracis-33650	119	9	encapsulating	encapsulate	VERB
bracis-33650	119	10	the	the	DET
bracis-33650	119	11	representations	representation	NOUN
bracis-33650	119	12	of	of	ADP
bracis-33650	119	13	the	the	DET
bracis-33650	119	14	nodes	node	NOUN
bracis-33650	119	15	of	of	ADP
bracis-33650	119	16	interest	interest	NOUN
bracis-33650	119	17	.	.	PUNCT
bracis-33650	120	1	we	we	PRON
bracis-33650	120	2	also	also	ADV
bracis-33650	120	3	explore	explore	VERB
bracis-33650	120	4	this	this	DET
bracis-33650	120	5	strategy	strategy	NOUN
bracis-33650	120	6	for	for	ADP
bracis-33650	120	7	data	datum	NOUN
bracis-33650	120	8	stream	stream	NOUN
bracis-33650	120	9	[	[	X
bracis-33650	120	10	11	11	NUM
bracis-33650	120	11	,	,	PUNCT
bracis-33650	120	12	30	30	NUM
bracis-33650	120	13	]	]	PUNCT
bracis-33650	120	14	.	.	PUNCT
bracis-33650	121	1	furthermore	furthermore	ADV
bracis-33650	121	2	,	,	PUNCT
bracis-33650	121	3	we	we	PRON
bracis-33650	121	4	combine	combine	VERB
bracis-33650	121	5	the	the	DET
bracis-33650	121	6	hypersphere	hypersphere	NOUN
bracis-33650	121	7	loss	loss	NOUN
bracis-33650	121	8	function	function	NOUN
bracis-33650	121	9	with	with	ADP
bracis-33650	121	10	the	the	DET
bracis-33650	121	11	loss	loss	NOUN
bracis-33650	121	12	function	function	NOUN
bracis-33650	121	13	of	of	ADP
bracis-33650	121	14	gaes	gaes	PROPN
bracis-33650	121	15	[	[	X
bracis-33650	121	16	11	11	NUM
bracis-33650	121	17	]	]	PUNCT
bracis-33650	121	18	,	,	PUNCT
bracis-33650	121	19	which	which	PRON
bracis-33650	121	20	obtained	obtain	VERB
bracis-33650	121	21	superior	superior	ADJ
bracis-33650	121	22	and	and	CCONJ
bracis-33650	121	23	state	state	NOUN
bracis-33650	121	24	-	-	PUNCT
bracis-33650	121	25	of	of	ADP
bracis-33650	121	26	-	-	PUNCT
bracis-33650	121	27	the	the	DET
bracis-33650	121	28	-	-	PUNCT
bracis-33650	121	29	art	art	NOUN
bracis-33650	121	30	results	result	NOUN
bracis-33650	121	31	compared	compare	VERB
bracis-33650	121	32	to	to	ADP
bracis-33650	121	33	other	other	ADJ
bracis-33650	121	34	methods	method	NOUN
bracis-33650	121	35	[	[	X
bracis-33650	121	36	30	30	NUM
bracis-33650	121	37	]	]	PUNCT
bracis-33650	121	38	.	.	PUNCT
bracis-33650	122	1	we	we	PRON
bracis-33650	122	2	use	use	VERB
bracis-33650	122	3	the	the	DET
bracis-33650	122	4	hypersphere	hypersphere	NOUN
bracis-33650	122	5	loss	loss	NOUN
bracis-33650	122	6	function	function	NOUN
bracis-33650	122	7	\(\mathcal	\(\mathcal	ADJ
bracis-33650	122	8	{	{	PUNCT
bracis-33650	122	9	l}_{1}\	l}_{1}\	PROPN
bracis-33650	122	10	)	)	PUNCT
bracis-33650	122	11	defined	define	VERB
bracis-33650	122	12	in	in	ADP
bracis-33650	122	13	eq	eq	NOUN
bracis-33650	122	14	.	.	PROPN
bracis-33650	122	15	7	7	NUM
bracis-33650	123	1	[	[	SYM
bracis-33650	123	2	11	11	NUM
bracis-33650	123	3	]	]	PUNCT
bracis-33650	123	4	and	and	CCONJ
bracis-33650	123	5	the	the	DET
bracis-33650	123	6	gae	gae	PROPN
bracis-33650	123	7	loss	loss	NOUN
bracis-33650	123	8	function	function	NOUN
bracis-33650	123	9	\(\mathcal	\(\mathcal	ADJ
bracis-33650	123	10	{	{	PUNCT
bracis-33650	123	11	l}_{2}\	l}_{2}\	PROPN
bracis-33650	123	12	)	)	PUNCT
bracis-33650	123	13	defined	define	VERB
bracis-33650	123	14	in	in	ADP
bracis-33650	123	15	eq	eq	PROPN
bracis-33650	123	16	.	.	PUNCT
bracis-33650	123	17	 	 	SPACE
bracis-33650	123	18	9	9	NUM
bracis-33650	124	1	(	(	PUNCT
bracis-33650	124	2	binary	binary	PROPN
bracis-33650	124	3	cross	cross	PROPN
bracis-33650	124	4	entropy	entropy	PROPN
bracis-33650	124	5	loss	loss	PROPN
bracis-33650	124	6	applied	apply	VERB
bracis-33650	124	7	in	in	ADP
bracis-33650	124	8	the	the	DET
bracis-33650	124	9	adjacency	adjacency	NOUN
bracis-33650	124	10	matrix	matrix	NOUN
bracis-33650	124	11	)	)	PUNCT
bracis-33650	124	12	.	.	PUNCT
bracis-33650	125	1	equation	equation	NOUN
bracis-33650	125	2	8	8	NUM
bracis-33650	125	3	represents	represent	VERB
bracis-33650	125	4	the	the	DET
bracis-33650	125	5	value	value	NOUN
bracis-33650	125	6	indicating	indicate	VERB
bracis-33650	125	7	whether	whether	SCONJ
bracis-33650	125	8	the	the	DET
bracis-33650	125	9	interest	interest	NOUN
bracis-33650	125	10	instance	instance	NOUN
bracis-33650	125	11	\(v_i\	\(v_i\	NOUN
bracis-33650	125	12	)	)	PUNCT
bracis-33650	125	13	is	be	AUX
bracis-33650	125	14	within	within	ADP
bracis-33650	125	15	the	the	DET
bracis-33650	125	16	hypersphere	hypersphere	NOUN
bracis-33650	125	17	with	with	ADP
bracis-33650	125	18	radius	radius	NOUN
bracis-33650	125	19	r	r	NOUN
bracis-33650	125	20	and	and	CCONJ
bracis-33650	125	21	center	center	NOUN
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bracis-33650	125	23	)	)	PUNCT
bracis-33650	125	24	.	.	PUNCT
bracis-33650	126	1	$	$	SYM
bracis-33650	126	2	$	$	SYM
bracis-33650	126	3	\begin{aligned	\begin{aligne	VERB
bracis-33650	126	4	}	}	PUNCT
bracis-33650	126	5	\mathcal	\mathcal	ADJ
bracis-33650	126	6	{	{	PUNCT
bracis-33650	126	7	l}_{2}(\boldsymbol{{w	l}_{2}(\boldsymbol{{w	ADJ
bracis-33650	126	8	}	}	PUNCT
bracis-33650	126	9	}	}	PUNCT
bracis-33650	126	10	)	)	PUNCT
bracis-33650	126	11	=	=	SYM
bracis-33650	126	12	\frac{1}{|v|	\frac{1}{|v|	ADJ
bracis-33650	126	13	}	}	PUNCT
bracis-33650	126	14	\sum	\sum	NOUN
bracis-33650	127	1	_	_	PUNCT
bracis-33650	127	2	{	{	PUNCT
bracis-33650	127	3	i=0}^{|v|	i=0}^{|v|	NOUN
bracis-33650	127	4	}	}	PUNCT
bracis-33650	127	5	\sum	\sum	NOUN
bracis-33650	127	6	_	_	PUNCT
bracis-33650	127	7	{	{	PUNCT
bracis-33650	127	8	j=0}^{|v|	j=0}^{|v|	PRON
bracis-33650	127	9	}	}	PUNCT
bracis-33650	127	10	(	(	PUNCT
bracis-33650	127	11	\boldsymbol{a}_{ij	\boldsymbol{a}_{ij	PROPN
bracis-33650	127	12	}	}	PUNCT
bracis-33650	127	13	\cdot	\cdot	NOUN
bracis-33650	127	14	log	log	NOUN
bracis-33650	127	15	\hat{\boldsymbol{a}}_{ij	\hat{\boldsymbol{a}}_{ij	NOUN
bracis-33650	127	16	}	}	PUNCT
bracis-33650	127	17	+	+	CCONJ
bracis-33650	127	18	(	(	PUNCT
bracis-33650	127	19	1	1	NUM
bracis-33650	127	20	\boldsymbol{a}_{ij	\boldsymbol{a}_{ij	PROPN
bracis-33650	127	21	}	}	PUNCT
bracis-33650	127	22	)	)	PUNCT
bracis-33650	127	23	\cdot	\cdot	NOUN
bracis-33650	127	24	log(1	log(1	NOUN
bracis-33650	127	25	\hat{\boldsymbol{a}}_{ij	\hat{\boldsymbol{a}}_{ij	NOUN
bracis-33650	127	26	}	}	PUNCT
bracis-33650	127	27	)	)	PUNCT
bracis-33650	127	28	)	)	PUNCT
bracis-33650	127	29	.	.	PUNCT
bracis-33650	128	1	\end{aligned}$$	\end{aligned}$$	X
bracis-33650	128	2	(	(	PUNCT
bracis-33650	128	3	9	9	X
bracis-33650	128	4	)	)	PUNCT
bracis-33650	128	5	some	some	DET
bracis-33650	128	6	works	work	NOUN
bracis-33650	128	7	combine	combine	VERB
bracis-33650	128	8	the	the	DET
bracis-33650	128	9	hypersphere	hypersphere	NOUN
bracis-33650	128	10	and	and	CCONJ
bracis-33650	128	11	reconstruction	reconstruction	NOUN
bracis-33650	128	12	loss	loss	NOUN
bracis-33650	128	13	functions	function	NOUN
bracis-33650	128	14	,	,	PUNCT
bracis-33650	128	15	only	only	ADV
bracis-33650	128	16	adding	add	VERB
bracis-33650	128	17	both	both	DET
bracis-33650	128	18	loss	loss	NOUN
bracis-33650	128	19	functions	function	NOUN
bracis-33650	128	20	[	[	X
bracis-33650	128	21	11	11	NUM
bracis-33650	128	22	,	,	PUNCT
bracis-33650	128	23	32	32	NUM
bracis-33650	128	24	]	]	PUNCT
bracis-33650	128	25	.	.	PUNCT
bracis-33650	129	1	however	however	ADV
bracis-33650	129	2	,	,	PUNCT
bracis-33650	129	3	considering	consider	VERB
bracis-33650	129	4	the	the	DET
bracis-33650	129	5	concept	concept	NOUN
bracis-33650	129	6	drift	drift	NOUN
bracis-33650	129	7	of	of	ADP
bracis-33650	129	8	the	the	DET
bracis-33650	129	9	interest	interest	NOUN
bracis-33650	129	10	class	class	NOUN
bracis-33650	129	11	can	can	AUX
bracis-33650	129	12	be	be	AUX
bracis-33650	129	13	interesting	interesting	ADJ
bracis-33650	129	14	,	,	PUNCT
bracis-33650	129	15	adding	add	VERB
bracis-33650	129	16	weights	weight	NOUN
bracis-33650	129	17	to	to	ADP
bracis-33650	129	18	the	the	DET
bracis-33650	129	19	losses	loss	NOUN
bracis-33650	129	20	to	to	PART
bracis-33650	129	21	bias	bias	VERB
bracis-33650	129	22	the	the	DET
bracis-33650	129	23	learning	learning	NOUN
bracis-33650	129	24	.	.	PUNCT
bracis-33650	130	1	thus	thus	ADV
bracis-33650	130	2	,	,	PUNCT
bracis-33650	130	3	we	we	PRON
bracis-33650	130	4	innovate	innovate	VERB
bracis-33650	130	5	by	by	ADP
bracis-33650	130	6	adding	add	VERB
bracis-33650	130	7	impact	impact	NOUN
bracis-33650	130	8	factors	factor	NOUN
bracis-33650	130	9	to	to	ADP
bracis-33650	130	10	each	each	DET
bracis-33650	130	11	loss	loss	NOUN
bracis-33650	130	12	function	function	NOUN
bracis-33650	130	13	because	because	SCONJ
bracis-33650	130	14	of	of	ADP
bracis-33650	130	15	the	the	DET
bracis-33650	130	16	concept	concept	NOUN
bracis-33650	130	17	drift	drift	NOUN
bracis-33650	130	18	during	during	ADP
bracis-33650	130	19	the	the	DET
bracis-33650	130	20	data	data	NOUN
bracis-33650	130	21	stream	stream	NOUN
bracis-33650	130	22	.	.	PUNCT
bracis-33650	131	1	this	this	DET
bracis-33650	131	2	concept	concept	NOUN
bracis-33650	131	3	drift	drift	NOUN
bracis-33650	131	4	may	may	AUX
bracis-33650	131	5	require	require	VERB
bracis-33650	131	6	more	more	ADJ
bracis-33650	131	7	of	of	ADP
bracis-33650	131	8	the	the	DET
bracis-33650	131	9	hypersphere	hypersphere	NOUN
bracis-33650	131	10	loss	loss	NOUN
bracis-33650	131	11	function	function	NOUN
bracis-33650	131	12	that	that	PRON
bracis-33650	131	13	aims	aim	VERB
bracis-33650	131	14	to	to	PART
bracis-33650	131	15	encapsulate	encapsulate	VERB
bracis-33650	131	16	the	the	DET
bracis-33650	131	17	instances	instance	NOUN
bracis-33650	131	18	of	of	ADP
bracis-33650	131	19	interest	interest	NOUN
bracis-33650	131	20	or	or	CCONJ
bracis-33650	131	21	more	more	ADJ
bracis-33650	131	22	of	of	ADP
bracis-33650	131	23	the	the	DET
bracis-33650	131	24	reconstruction	reconstruction	NOUN
bracis-33650	131	25	of	of	ADP
bracis-33650	131	26	the	the	DET
bracis-33650	131	27	graph	graph	NOUN
bracis-33650	131	28	that	that	PRON
bracis-33650	131	29	acts	act	VERB
bracis-33650	131	30	as	as	ADP
bracis-33650	131	31	a	a	DET
bracis-33650	131	32	constraint	constraint	NOUN
bracis-33650	131	33	for	for	ADP
bracis-33650	131	34	the	the	DET
bracis-33650	131	35	hypersphere	hypersphere	PROPN
bracis-33650	131	36	loss	loss	NOUN
bracis-33650	131	37	function	function	NOUN
bracis-33650	131	38	.	.	PUNCT
bracis-33650	132	1	therefore	therefore	ADV
bracis-33650	132	2	,	,	PUNCT
bracis-33650	132	3	our	our	PRON
bracis-33650	132	4	final	final	ADJ
bracis-33650	132	5	loss	loss	NOUN
bracis-33650	132	6	function	function	NOUN
bracis-33650	132	7	is	be	AUX
bracis-33650	132	8	defined	define	VERB
bracis-33650	132	9	by	by	ADP
bracis-33650	132	10	:	:	PUNCT
bracis-33650	132	11	$	$	SYM
bracis-33650	132	12	$	$	SYM
bracis-33650	132	13	\begin{aligned	\begin{aligne	VERB
bracis-33650	132	14	}	}	PUNCT
bracis-33650	132	15	\mathcal	\mathcal	ADJ
bracis-33650	132	16	{	{	PUNCT
bracis-33650	132	17	l	l	NOUN
bracis-33650	132	18	}	}	PUNCT
bracis-33650	132	19	=	=	SYM
bracis-33650	132	20	\mathcal	\mathcal	ADJ
bracis-33650	132	21	{	{	PUNCT
bracis-33650	132	22	l}_{1	l}_{1	NOUN
bracis-33650	132	23	}	}	PUNCT
bracis-33650	132	24	*	*	PUNCT
bracis-33650	133	1	\beta	\beta	PROPN
bracis-33650	133	2	+	+	CCONJ
bracis-33650	133	3	\mathcal	\mathcal	ADJ
bracis-33650	133	4	{	{	PUNCT
bracis-33650	133	5	l}_{2	l}_{2	NOUN
bracis-33650	133	6	}	}	PUNCT
bracis-33650	133	7	*	*	PUNCT
bracis-33650	133	8	(	(	PUNCT
bracis-33650	133	9	1-\beta	1-\beta	NUM
bracis-33650	133	10	)	)	PUNCT
bracis-33650	133	11	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-33650	133	12	(	(	PUNCT
bracis-33650	133	13	10	10	NUM
bracis-33650	133	14	)	)	PUNCT
bracis-33650	133	15	we	we	PRON
bracis-33650	133	16	present	present	VERB
bracis-33650	133	17	an	an	DET
bracis-33650	133	18	illustration	illustration	NOUN
bracis-33650	133	19	of	of	ADP
bracis-33650	133	20	opencast	opencast	NOUN
bracis-33650	133	21	in	in	ADP
bracis-33650	133	22	fig	fig	NOUN
bracis-33650	133	23	.	.	PUNCT
bracis-33650	133	24	 	 	SPACE
bracis-33650	134	1	2	2	X
bracis-33650	134	2	.	.	PUNCT
bracis-33650	134	3	we	we	PRON
bracis-33650	134	4	show	show	VERB
bracis-33650	134	5	examples	example	NOUN
bracis-33650	134	6	of	of	ADP
bracis-33650	134	7	graph	graph	NOUN
bracis-33650	134	8	modeling	modeling	NOUN
bracis-33650	134	9	,	,	PUNCT
bracis-33650	134	10	the	the	DET
bracis-33650	134	11	faconv	faconv	NOUN
bracis-33650	134	12	as	as	ADP
bracis-33650	134	13	a	a	DET
bracis-33650	134	14	gnn	gnn	NOUN
bracis-33650	134	15	layer	layer	NOUN
bracis-33650	134	16	that	that	PRON
bracis-33650	134	17	allows	allow	VERB
bracis-33650	134	18	us	we	PRON
bracis-33650	134	19	to	to	PART
bracis-33650	134	20	focus	focus	VERB
bracis-33650	134	21	on	on	ADP
bracis-33650	134	22	relations	relation	NOUN
bracis-33650	134	23	between	between	ADP
bracis-33650	134	24	nodes	node	NOUN
bracis-33650	134	25	of	of	ADP
bracis-33650	134	26	the	the	DET
bracis-33650	134	27	same	same	ADJ
bracis-33650	134	28	class	class	NOUN
bracis-33650	134	29	and	and	CCONJ
bracis-33650	134	30	use	use	VERB
bracis-33650	134	31	the	the	DET
bracis-33650	134	32	hypersphere	hypersphere	NOUN
bracis-33650	134	33	loss	loss	NOUN
bracis-33650	134	34	function	function	NOUN
bracis-33650	134	35	to	to	PART
bracis-33650	134	36	understand	understand	VERB
bracis-33650	134	37	the	the	DET
bracis-33650	134	38	model	model	NOUN
bracis-33650	134	39	’s	’s	PART
bracis-33650	134	40	decision	decision	NOUN
bracis-33650	134	41	.	.	PUNCT
bracis-33650	135	1	even	even	ADV
bracis-33650	135	2	though	though	SCONJ
bracis-33650	135	3	it	it	PRON
bracis-33650	135	4	is	be	AUX
bracis-33650	135	5	possible	possible	ADJ
bracis-33650	135	6	to	to	PART
bracis-33650	135	7	understand	understand	VERB
bracis-33650	135	8	the	the	DET
bracis-33650	135	9	model	model	NOUN
bracis-33650	135	10	’s	’s	PART
bracis-33650	135	11	decision	decision	NOUN
bracis-33650	135	12	by	by	ADP
bracis-33650	135	13	observing	observe	VERB
bracis-33650	135	14	a	a	DET
bracis-33650	135	15	circle	circle	NOUN
bracis-33650	135	16	or	or	CCONJ
bracis-33650	135	17	sphere	sphere	NOUN
bracis-33650	135	18	and	and	CCONJ
bracis-33650	135	19	instances	instance	NOUN
bracis-33650	135	20	inside	inside	ADP
bracis-33650	135	21	the	the	DET
bracis-33650	135	22	circle	circle	NOUN
bracis-33650	135	23	/	/	SYM
bracis-33650	135	24	sphere	sphere	NOUN
bracis-33650	135	25	(	(	PUNCT
bracis-33650	135	26	class	class	NOUN
bracis-33650	135	27	of	of	ADP
bracis-33650	135	28	interest	interest	NOUN
bracis-33650	135	29	)	)	PUNCT
bracis-33650	135	30	and	and	CCONJ
bracis-33650	135	31	outside	outside	ADP
bracis-33650	135	32	the	the	DET
bracis-33650	135	33	circle	circle	NOUN
bracis-33650	135	34	/	/	SYM
bracis-33650	135	35	sphere	sphere	NOUN
bracis-33650	135	36	(	(	PUNCT
bracis-33650	135	37	class	class	NOUN
bracis-33650	135	38	of	of	ADP
bracis-33650	135	39	non	non	NOUN
bracis-33650	135	40	-	-	NOUN
bracis-33650	135	41	interest	interest	NOUN
bracis-33650	135	42	)	)	PUNCT
bracis-33650	135	43	,	,	PUNCT
bracis-33650	135	44	it	it	PRON
bracis-33650	135	45	is	be	AUX
bracis-33650	135	46	challenging	challenge	VERB
bracis-33650	135	47	to	to	PART
bracis-33650	135	48	interpret	interpret	VERB
bracis-33650	135	49	the	the	DET
bracis-33650	135	50	learning	learning	NOUN
bracis-33650	135	51	that	that	PRON
bracis-33650	135	52	generated	generate	VERB
bracis-33650	135	53	this	this	DET
bracis-33650	135	54	decision	decision	NOUN
bracis-33650	135	55	,	,	PUNCT
bracis-33650	135	56	since	since	SCONJ
bracis-33650	135	57	we	we	PRON
bracis-33650	135	58	can	can	AUX
bracis-33650	135	59	not	not	PART
bracis-33650	135	60	visualize	visualize	VERB
bracis-33650	135	61	the	the	DET
bracis-33650	135	62	representations	representation	NOUN
bracis-33650	135	63	generated	generate	VERB
bracis-33650	135	64	during	during	ADP
bracis-33650	135	65	learning	learn	VERB
bracis-33650	135	66	if	if	SCONJ
bracis-33650	135	67	the	the	DET
bracis-33650	135	68	dimension	dimension	NOUN
bracis-33650	135	69	is	be	AUX
bracis-33650	135	70	greater	great	ADJ
bracis-33650	135	71	than	than	ADP
bracis-33650	135	72	3	3	NUM
bracis-33650	135	73	.	.	PUNCT
bracis-33650	136	1	on	on	ADP
bracis-33650	136	2	the	the	DET
bracis-33650	136	3	other	other	ADJ
bracis-33650	136	4	hand	hand	NOUN
bracis-33650	136	5	,	,	PUNCT
bracis-33650	136	6	with	with	ADP
bracis-33650	136	7	representations	representation	NOUN
bracis-33650	136	8	in	in	ADP
bracis-33650	136	9	two	two	NUM
bracis-33650	136	10	or	or	CCONJ
bracis-33650	136	11	three	three	NUM
bracis-33650	136	12	dimensions	dimension	NOUN
bracis-33650	136	13	,	,	PUNCT
bracis-33650	136	14	we	we	PRON
bracis-33650	136	15	can	can	AUX
bracis-33650	136	16	observe	observe	VERB
bracis-33650	136	17	and	and	CCONJ
bracis-33650	136	18	interpret	interpret	VERB
bracis-33650	136	19	the	the	DET
bracis-33650	136	20	representations	representation	NOUN
bracis-33650	136	21	generated	generate	VERB
bracis-33650	136	22	during	during	ADP
bracis-33650	136	23	learning	learn	VERB
bracis-33650	136	24	.	.	PUNCT
bracis-33650	137	1	in	in	ADP
bracis-33650	137	2	this	this	DET
bracis-33650	137	3	sense	sense	NOUN
bracis-33650	137	4	,	,	PUNCT
bracis-33650	137	5	we	we	PRON
bracis-33650	137	6	bias	bias	VERB
bracis-33650	137	7	opencast	opencast	NOUN
bracis-33650	137	8	learning	learning	NOUN
bracis-33650	137	9	so	so	SCONJ
bracis-33650	137	10	that	that	SCONJ
bracis-33650	137	11	our	our	PRON
bracis-33650	137	12	method	method	NOUN
bracis-33650	137	13	learns	learn	VERB
bracis-33650	137	14	representations	representation	NOUN
bracis-33650	137	15	in	in	ADP
bracis-33650	137	16	size	size	NOUN
bracis-33650	137	17	two	two	NUM
bracis-33650	137	18	to	to	PART
bracis-33650	137	19	provide	provide	VERB
bracis-33650	137	20	interpretability	interpretability	NOUN
bracis-33650	137	21	for	for	ADP
bracis-33650	137	22	representation	representation	NOUN
bracis-33650	137	23	learning	learning	NOUN
bracis-33650	137	24	in	in	ADP
bracis-33650	137	25	the	the	DET
bracis-33650	137	26	scenario	scenario	NOUN
bracis-33650	137	27	of	of	ADP
bracis-33650	137	28	ocl	ocl	PROPN
bracis-33650	137	29	and	and	CCONJ
bracis-33650	137	30	gnns	gnn	NOUN
bracis-33650	137	31	for	for	ADP
bracis-33650	137	32	data	datum	NOUN
bracis-33650	137	33	streams	stream	NOUN
bracis-33650	137	34	.	.	PUNCT
bracis-33650	138	1	fig	fig	NOUN
bracis-33650	138	2	.	.	PUNCT
bracis-33650	139	1	2	2	X
bracis-33650	139	2	.	.	X
bracis-33650	139	3	illustration	illustration	NOUN
bracis-33650	139	4	of	of	ADP
bracis-33650	139	5	the	the	DET
bracis-33650	139	6	opencast	opencast	NOUN
bracis-33650	139	7	method	method	NOUN
bracis-33650	139	8	.	.	PUNCT
bracis-33650	140	1	full	full	ADJ
bracis-33650	140	2	size	size	NOUN
bracis-33650	140	3	image	image	NOUN
bracis-33650	140	4	5	5	NUM
bracis-33650	140	5	experimental	experimental	ADJ
bracis-33650	140	6	evaluation	evaluation	NOUN
bracis-33650	140	7	this	this	DET
bracis-33650	140	8	section	section	NOUN
bracis-33650	140	9	presents	present	VERB
bracis-33650	140	10	the	the	DET
bracis-33650	140	11	experimental	experimental	ADJ
bracis-33650	140	12	evaluation	evaluation	NOUN
bracis-33650	140	13	of	of	ADP
bracis-33650	140	14	this	this	DET
bracis-33650	140	15	article	article	NOUN
bracis-33650	140	16	.	.	PUNCT
bracis-33650	141	1	we	we	PRON
bracis-33650	141	2	present	present	VERB
bracis-33650	141	3	the	the	DET
bracis-33650	141	4	used	use	VERB
bracis-33650	141	5	datasets	dataset	NOUN
bracis-33650	141	6	,	,	PUNCT
bracis-33650	141	7	experimental	experimental	ADJ
bracis-33650	141	8	settings	setting	NOUN
bracis-33650	141	9	,	,	PUNCT
bracis-33650	141	10	results	result	NOUN
bracis-33650	141	11	,	,	PUNCT
bracis-33650	141	12	and	and	CCONJ
bracis-33650	141	13	discussion	discussion	NOUN
bracis-33650	141	14	.	.	PUNCT
bracis-33650	142	1	our	our	PRON
bracis-33650	142	2	goal	goal	NOUN
bracis-33650	142	3	is	be	AUX
bracis-33650	142	4	to	to	PART
bracis-33650	142	5	demonstrate	demonstrate	VERB
bracis-33650	142	6	that	that	SCONJ
bracis-33650	142	7	our	our	PRON
bracis-33650	142	8	opencast	opencast	NOUN
bracis-33650	142	9	proposal	proposal	NOUN
bracis-33650	142	10	outperforms	outperform	VERB
bracis-33650	142	11	other	other	ADJ
bracis-33650	142	12	state	state	NOUN
bracis-33650	142	13	-	-	PUNCT
bracis-33650	142	14	of	of	ADP
bracis-33650	142	15	-	-	PUNCT
bracis-33650	142	16	the	the	DET
bracis-33650	142	17	-	-	PUNCT
bracis-33650	142	18	art	art	NOUN
bracis-33650	142	19	methods	method	NOUN
bracis-33650	142	20	for	for	ADP
bracis-33650	142	21	data	datum	NOUN
bracis-33650	142	22	streams	stream	NOUN
bracis-33650	142	23	.	.	PUNCT
bracis-33650	143	1	another	another	DET
bracis-33650	143	2	goal	goal	NOUN
bracis-33650	143	3	is	be	AUX
bracis-33650	143	4	to	to	PART
bracis-33650	143	5	demonstrate	demonstrate	VERB
bracis-33650	143	6	that	that	SCONJ
bracis-33650	143	7	our	our	PRON
bracis-33650	143	8	method	method	NOUN
bracis-33650	143	9	learns	learn	VERB
bracis-33650	143	10	low	low	ADJ
bracis-33650	143	11	-	-	PUNCT
bracis-33650	143	12	dimensional	dimensional	ADJ
bracis-33650	143	13	representations	representation	NOUN
bracis-33650	143	14	,	,	PUNCT
bracis-33650	143	15	providing	provide	VERB
bracis-33650	143	16	interpretability	interpretability	NOUN
bracis-33650	143	17	for	for	ADP
bracis-33650	143	18	the	the	DET
bracis-33650	143	19	data	datum	NOUN
bracis-33650	143	20	stream	stream	NOUN
bracis-33650	143	21	scenario	scenario	PROPN
bracis-33650	143	22	.	.	PUNCT
bracis-33650	144	1	the	the	DET
bracis-33650	144	2	experimental	experimental	ADJ
bracis-33650	144	3	evaluation	evaluation	NOUN
bracis-33650	144	4	codes	code	NOUN
bracis-33650	144	5	are	be	AUX
bracis-33650	144	6	publicly	publicly	ADV
bracis-33650	144	7	availablefootnote	availablefootnote	VERB
bracis-33650	144	8	2	2	NUM
bracis-33650	144	9	.	.	NOUN
bracis-33650	144	10	5.1	5.1	NUM
bracis-33650	144	11	datasets	dataset	NOUN
bracis-33650	144	12	we	we	PRON
bracis-33650	144	13	selected	select	VERB
bracis-33650	144	14	four	four	NUM
bracis-33650	144	15	publicly	publicly	ADV
bracis-33650	144	16	available	available	ADJ
bracis-33650	144	17	benchmark	benchmark	NOUN
bracis-33650	144	18	datasets	dataset	NOUN
bracis-33650	144	19	from	from	ADP
bracis-33650	144	20	[	[	X
bracis-33650	144	21	29	29	NUM
bracis-33650	144	22	]	]	PUNCT
bracis-33650	144	23	,	,	PUNCT
bracis-33650	144	24	commonly	commonly	ADV
bracis-33650	144	25	used	use	VERB
bracis-33650	144	26	in	in	ADP
bracis-33650	144	27	the	the	DET
bracis-33650	144	28	data	data	NOUN
bracis-33650	144	29	stream	stream	NOUN
bracis-33650	144	30	literature	literature	NOUN
bracis-33650	144	31	,	,	PUNCT
bracis-33650	144	32	for	for	ADP
bracis-33650	144	33	our	our	PRON
bracis-33650	144	34	ocl	ocl	PROPN
bracis-33650	144	35	scenario	scenario	NOUN
bracis-33650	144	36	,	,	PUNCT
bracis-33650	144	37	each	each	PRON
bracis-33650	144	38	large	large	ADJ
bracis-33650	144	39	enough	enough	ADV
bracis-33650	144	40	to	to	PART
bracis-33650	144	41	be	be	AUX
bracis-33650	144	42	processed	process	VERB
bracis-33650	144	43	as	as	ADP
bracis-33650	144	44	a	a	DET
bracis-33650	144	45	stream	stream	NOUN
bracis-33650	144	46	and	and	CCONJ
bracis-33650	144	47	with	with	ADP
bracis-33650	144	48	two	two	NUM
bracis-33650	144	49	classes	class	NOUN
bracis-33650	144	50	:	:	PUNCT
bracis-33650	144	51	the	the	DET
bracis-33650	144	52	interest	interest	NOUN
bracis-33650	144	53	and	and	CCONJ
bracis-33650	144	54	outlier	outlier	NOUN
bracis-33650	144	55	classes	class	NOUN
bracis-33650	144	56	.	.	PUNCT
bracis-33650	145	1	we	we	PRON
bracis-33650	145	2	choose	choose	VERB
bracis-33650	145	3	two	two	NUM
bracis-33650	145	4	synthetic	synthetic	ADJ
bracis-33650	145	5	and	and	CCONJ
bracis-33650	145	6	two	two	NUM
bracis-33650	145	7	real	real	ADJ
bracis-33650	145	8	datasets	dataset	NOUN
bracis-33650	145	9	.	.	PUNCT
bracis-33650	146	1	agrawalfootnote	agrawalfootnote	VERB
bracis-33650	146	2	3	3	NUM
bracis-33650	146	3	and	and	CCONJ
bracis-33650	146	4	tweet500footnote	tweet500footnote	PRON
bracis-33650	146	5	4	4	NUM
bracis-33650	146	6	are	be	AUX
bracis-33650	146	7	synthetic	synthetic	ADJ
bracis-33650	146	8	,	,	PUNCT
bracis-33650	146	9	and	and	CCONJ
bracis-33650	146	10	bank	bank	NOUN
bracis-33650	146	11	marketingfootnote	marketingfootnote	VERB
bracis-33650	146	12	5	5	NUM
bracis-33650	146	13	and	and	CCONJ
bracis-33650	146	14	electricityfootnote	electricityfootnote	VERB
bracis-33650	146	15	6	6	NUM
bracis-33650	146	16	are	be	AUX
bracis-33650	146	17	the	the	DET
bracis-33650	146	18	real	real	ADJ
bracis-33650	146	19	datasets	dataset	NOUN
bracis-33650	146	20	.	.	PUNCT
bracis-33650	147	1	agrawal	agrawal	PROPN
bracis-33650	147	2	is	be	AUX
bracis-33650	147	3	a	a	DET
bracis-33650	147	4	stream	stream	NOUN
bracis-33650	147	5	generator	generator	NOUN
bracis-33650	147	6	that	that	PRON
bracis-33650	147	7	uses	use	VERB
bracis-33650	147	8	ten	ten	NUM
bracis-33650	147	9	functions	function	NOUN
bracis-33650	147	10	to	to	PART
bracis-33650	147	11	generate	generate	VERB
bracis-33650	147	12	binary	binary	ADJ
bracis-33650	147	13	class	class	NOUN
bracis-33650	147	14	labels	label	NOUN
bracis-33650	147	15	from	from	ADP
bracis-33650	147	16	nine	nine	NUM
bracis-33650	147	17	features	feature	NOUN
bracis-33650	147	18	[	[	X
bracis-33650	147	19	1	1	NUM
bracis-33650	147	20	]	]	PUNCT
bracis-33650	147	21	.	.	PUNCT
bracis-33650	148	1	tweet500	tweet500	PROPN
bracis-33650	148	2	is	be	AUX
bracis-33650	148	3	generated	generate	VERB
bracis-33650	148	4	by	by	ADP
bracis-33650	148	5	moa	moa	NOUN
bracis-33650	148	6	[	[	X
bracis-33650	148	7	2	2	NUM
bracis-33650	148	8	]	]	PUNCT
bracis-33650	148	9	and	and	CCONJ
bracis-33650	148	10	simulates	simulate	VERB
bracis-33650	148	11	sentiment	sentiment	VERB
bracis-33650	148	12	analysis	analysis	NOUN
bracis-33650	148	13	on	on	ADP
bracis-33650	148	14	tweets	tweet	NOUN
bracis-33650	148	15	(	(	PUNCT
bracis-33650	148	16	positive	positive	ADJ
bracis-33650	148	17	or	or	CCONJ
bracis-33650	148	18	negative	negative	ADJ
bracis-33650	148	19	feelings	feeling	NOUN
bracis-33650	148	20	)	)	PUNCT
bracis-33650	148	21	.	.	PUNCT
bracis-33650	149	1	bank	bank	NOUN
bracis-33650	149	2	marketing	marketing	NOUN
bracis-33650	149	3	is	be	AUX
bracis-33650	149	4	related	relate	VERB
bracis-33650	149	5	to	to	ADP
bracis-33650	149	6	direct	direct	ADJ
bracis-33650	149	7	marketing	marketing	NOUN
bracis-33650	149	8	campaigns	campaign	NOUN
bracis-33650	149	9	to	to	PART
bracis-33650	149	10	assess	assess	VERB
bracis-33650	149	11	if	if	SCONJ
bracis-33650	149	12	the	the	DET
bracis-33650	149	13	product	product	NOUN
bracis-33650	149	14	(	(	PUNCT
bracis-33650	149	15	bank	bank	NOUN
bracis-33650	149	16	term	term	NOUN
bracis-33650	149	17	deposit	deposit	NOUN
bracis-33650	149	18	)	)	PUNCT
bracis-33650	149	19	would	would	AUX
bracis-33650	149	20	be	be	AUX
bracis-33650	149	21	(	(	PUNCT
bracis-33650	149	22	’	'	PUNCT
bracis-33650	149	23	yes	yes	INTJ
bracis-33650	149	24	’	'	PUNCT
bracis-33650	149	25	)	)	PUNCT
bracis-33650	149	26	or	or	CCONJ
bracis-33650	149	27	not	not	PART
bracis-33650	149	28	(	(	PUNCT
bracis-33650	149	29	’	'	PUNCT
bracis-33650	149	30	no	no	INTJ
bracis-33650	149	31	’	'	PUNCT
bracis-33650	149	32	)	)	PUNCT
bracis-33650	149	33	subscribed	subscribe	VERB
bracis-33650	150	1	[	[	X
bracis-33650	150	2	19	19	NUM
bracis-33650	150	3	]	]	PUNCT
bracis-33650	150	4	.	.	PUNCT
bracis-33650	151	1	electricity	electricity	NOUN
bracis-33650	151	2	was	be	AUX
bracis-33650	151	3	collected	collect	VERB
bracis-33650	151	4	from	from	ADP
bracis-33650	151	5	the	the	DET
bracis-33650	151	6	australian	australian	ADJ
bracis-33650	151	7	new	new	ADJ
bracis-33650	151	8	south	south	PROPN
bracis-33650	151	9	wales	wales	PROPN
bracis-33650	151	10	electricity	electricity	NOUN
bracis-33650	151	11	market	market	NOUN
bracis-33650	151	12	.	.	PUNCT
bracis-33650	152	1	the	the	DET
bracis-33650	152	2	class	class	NOUN
bracis-33650	152	3	label	label	NOUN
bracis-33650	152	4	identifies	identify	VERB
bracis-33650	152	5	the	the	DET
bracis-33650	152	6	price	price	NOUN
bracis-33650	152	7	change	change	NOUN
bracis-33650	152	8	(	(	PUNCT
bracis-33650	152	9	up	up	ADV
bracis-33650	152	10	or	or	CCONJ
bracis-33650	152	11	down	down	ADV
bracis-33650	152	12	)	)	PUNCT
bracis-33650	152	13	in	in	ADP
bracis-33650	152	14	new	new	ADJ
bracis-33650	152	15	south	south	PROPN
bracis-33650	152	16	wales	wales	PROPN
bracis-33650	152	17	relative	relative	ADJ
bracis-33650	152	18	to	to	ADP
bracis-33650	152	19	a	a	DET
bracis-33650	152	20	moving	move	VERB
bracis-33650	152	21	average	average	NOUN
bracis-33650	152	22	of	of	ADP
bracis-33650	152	23	the	the	DET
bracis-33650	152	24	last	last	ADJ
bracis-33650	152	25	24	24	NUM
bracis-33650	152	26	 	 	SPACE
bracis-33650	152	27	h.	h.	NOUN
bracis-33650	152	28	table	table	NOUN
bracis-33650	152	29	 	 	SPACE
bracis-33650	152	30	1	1	NUM
bracis-33650	152	31	summarises	summarise	NOUN
bracis-33650	152	32	the	the	DET
bracis-33650	152	33	datasets	dataset	NOUN
bracis-33650	152	34	.	.	PUNCT
bracis-33650	153	1	for	for	ADP
bracis-33650	153	2	categorical	categorical	ADJ
bracis-33650	153	3	attributes	attribute	NOUN
bracis-33650	153	4	,	,	PUNCT
bracis-33650	153	5	we	we	PRON
bracis-33650	153	6	use	use	VERB
bracis-33650	153	7	a	a	DET
bracis-33650	153	8	one	one	NUM
bracis-33650	153	9	-	-	PUNCT
bracis-33650	153	10	hot	hot	ADV
bracis-33650	153	11	-	-	PUNCT
bracis-33650	153	12	encoding	encode	VERB
bracis-33650	153	13	strategy	strategy	NOUN
bracis-33650	153	14	to	to	PART
bracis-33650	153	15	transform	transform	VERB
bracis-33650	153	16	the	the	DET
bracis-33650	153	17	attributes	attribute	NOUN
bracis-33650	153	18	into	into	ADP
bracis-33650	153	19	numeric	numeric	ADJ
bracis-33650	153	20	ones	one	NOUN
bracis-33650	153	21	.	.	PUNCT
bracis-33650	154	1	table	table	NOUN
bracis-33650	154	2	1	1	NUM
bracis-33650	154	3	.	.	PUNCT
bracis-33650	155	1	datasets	dataset	NOUN
bracis-33650	155	2	details	detail	NOUN
bracis-33650	155	3	.	.	PUNCT
bracis-33650	156	1	we	we	PRON
bracis-33650	156	2	present	present	VERB
bracis-33650	156	3	the	the	DET
bracis-33650	156	4	number	number	NOUN
bracis-33650	156	5	of	of	ADP
bracis-33650	156	6	instances	instance	NOUN
bracis-33650	156	7	,	,	PUNCT
bracis-33650	156	8	features	feature	NOUN
bracis-33650	156	9	,	,	PUNCT
bracis-33650	156	10	interest	interest	NOUN
bracis-33650	156	11	instances	instance	NOUN
bracis-33650	156	12	,	,	PUNCT
bracis-33650	156	13	non	non	ADJ
bracis-33650	156	14	-	-	ADJ
bracis-33650	156	15	interest	interest	ADJ
bracis-33650	156	16	instances	instance	NOUN
bracis-33650	156	17	and	and	CCONJ
bracis-33650	156	18	the	the	DET
bracis-33650	156	19	dataset	dataset	VERB
bracis-33650	156	20	type.full	type.full	NOUN
bracis-33650	156	21	size	size	NOUN
bracis-33650	156	22	table	table	NOUN
bracis-33650	156	23	5.2	5.2	NUM
bracis-33650	156	24	experimental	experimental	ADJ
bracis-33650	156	25	settings	setting	NOUN
bracis-33650	156	26	one	one	NUM
bracis-33650	156	27	part	part	NOUN
bracis-33650	156	28	of	of	ADP
bracis-33650	156	29	the	the	DET
bracis-33650	156	30	experimental	experimental	ADJ
bracis-33650	156	31	settings	setting	NOUN
bracis-33650	156	32	defines	define	VERB
bracis-33650	156	33	the	the	DET
bracis-33650	156	34	data	datum	NOUN
bracis-33650	156	35	ordering	ordering	NOUN
bracis-33650	156	36	,	,	PUNCT
bracis-33650	156	37	partitions	partition	NOUN
bracis-33650	156	38	,	,	PUNCT
bracis-33650	156	39	and	and	CCONJ
bracis-33650	156	40	distribution	distribution	NOUN
bracis-33650	156	41	[	[	X
bracis-33650	156	42	29	29	NUM
bracis-33650	156	43	]	]	PUNCT
bracis-33650	156	44	.	.	PUNCT
bracis-33650	157	1	we	we	PRON
bracis-33650	157	2	follow	follow	VERB
bracis-33650	157	3	the	the	DET
bracis-33650	157	4	data	datum	NOUN
bracis-33650	157	5	stream	stream	NOUN
bracis-33650	157	6	protocol	protocol	NOUN
bracis-33650	157	7	from	from	ADP
bracis-33650	157	8	[	[	X
bracis-33650	157	9	8	8	NUM
bracis-33650	157	10	]	]	PUNCT
bracis-33650	157	11	and	and	CCONJ
bracis-33650	157	12	select	select	VERB
bracis-33650	157	13	the	the	DET
bracis-33650	157	14	sliding	slide	VERB
bracis-33650	157	15	window	window	NOUN
bracis-33650	157	16	strategy	strategy	NOUN
bracis-33650	157	17	.	.	PUNCT
bracis-33650	158	1	our	our	PRON
bracis-33650	158	2	window	window	NOUN
bracis-33650	158	3	is	be	AUX
bracis-33650	158	4	2500	2500	NUM
bracis-33650	158	5	in	in	ADP
bracis-33650	158	6	length	length	NOUN
bracis-33650	158	7	.	.	PUNCT
bracis-33650	159	1	it	it	PRON
bracis-33650	159	2	is	be	AUX
bracis-33650	159	3	essential	essential	ADJ
bracis-33650	159	4	to	to	PART
bracis-33650	159	5	point	point	VERB
bracis-33650	159	6	out	out	ADP
bracis-33650	159	7	that	that	SCONJ
bracis-33650	159	8	we	we	PRON
bracis-33650	159	9	use	use	VERB
bracis-33650	159	10	only	only	ADV
bracis-33650	159	11	the	the	DET
bracis-33650	159	12	interest	interest	NOUN
bracis-33650	159	13	instances	instance	NOUN
bracis-33650	159	14	of	of	ADP
bracis-33650	159	15	each	each	DET
bracis-33650	159	16	window	window	NOUN
bracis-33650	159	17	before	before	ADP
bracis-33650	159	18	the	the	DET
bracis-33650	159	19	current	current	ADJ
bracis-33650	159	20	window	window	NOUN
bracis-33650	159	21	to	to	PART
bracis-33650	159	22	train	train	VERB
bracis-33650	159	23	the	the	DET
bracis-33650	159	24	algorithms	algorithm	NOUN
bracis-33650	159	25	and	and	CCONJ
bracis-33650	159	26	evaluate	evaluate	VERB
bracis-33650	159	27	them	they	PRON
bracis-33650	159	28	on	on	ADP
bracis-33650	159	29	all	all	DET
bracis-33650	159	30	instances	instance	NOUN
bracis-33650	159	31	of	of	ADP
bracis-33650	159	32	the	the	DET
bracis-33650	159	33	current	current	ADJ
bracis-33650	159	34	window	window	NOUN
bracis-33650	159	35	.	.	PUNCT
bracis-33650	160	1	we	we	PRON
bracis-33650	160	2	kept	keep	VERB
bracis-33650	160	3	the	the	DET
bracis-33650	160	4	most	most	ADV
bracis-33650	160	5	current	current	ADJ
bracis-33650	160	6	instances	instance	NOUN
bracis-33650	160	7	of	of	ADP
bracis-33650	160	8	interest	interest	NOUN
bracis-33650	160	9	from	from	ADP
bracis-33650	160	10	the	the	DET
bracis-33650	160	11	previous	previous	ADJ
bracis-33650	160	12	window	window	NOUN
bracis-33650	160	13	until	until	SCONJ
bracis-33650	160	14	there	there	PRON
bracis-33650	160	15	were	be	VERB
bracis-33650	160	16	2500	2500	NUM
bracis-33650	160	17	instances	instance	NOUN
bracis-33650	160	18	of	of	ADP
bracis-33650	160	19	interest	interest	NOUN
bracis-33650	160	20	for	for	ADP
bracis-33650	160	21	training	train	VERB
bracis-33650	160	22	the	the	DET
bracis-33650	160	23	algorithm	algorithm	NOUN
bracis-33650	160	24	(	(	PUNCT
bracis-33650	160	25	see	see	VERB
bracis-33650	160	26	fig	fig	NOUN
bracis-33650	160	27	.	.	PUNCT
bracis-33650	160	28	 	 	SPACE
bracis-33650	160	29	1	1	NUM
bracis-33650	160	30	)	)	PUNCT
bracis-33650	160	31	.	.	PUNCT
bracis-33650	161	1	finally	finally	ADV
bracis-33650	161	2	,	,	PUNCT
bracis-33650	161	3	we	we	PRON
bracis-33650	161	4	use	use	VERB
bracis-33650	161	5	the	the	DET
bracis-33650	161	6	\(f_1\)-macro	\(f_1\)-macro	PROPN
bracis-33650	161	7	to	to	PART
bracis-33650	161	8	compare	compare	VERB
bracis-33650	161	9	all	all	DET
bracis-33650	161	10	models	model	NOUN
bracis-33650	161	11	,	,	PUNCT
bracis-33650	161	12	as	as	SCONJ
bracis-33650	161	13	the	the	DET
bracis-33650	161	14	\(f_1\)-micro	\(f_1\)-micro	NOUN
bracis-33650	161	15	and	and	CCONJ
bracis-33650	161	16	accuracy	accuracy	NOUN
bracis-33650	161	17	are	be	AUX
bracis-33650	161	18	biased	bias	VERB
bracis-33650	161	19	by	by	ADP
bracis-33650	161	20	test	test	NOUN
bracis-33650	161	21	set	set	VERB
bracis-33650	161	22	imbalance	imbalance	NOUN
bracis-33650	161	23	,	,	PUNCT
bracis-33650	161	24	which	which	PRON
bracis-33650	161	25	is	be	AUX
bracis-33650	161	26	natural	natural	ADJ
bracis-33650	161	27	in	in	ADP
bracis-33650	161	28	ocl	ocl	PROPN
bracis-33650	161	29	.	.	PUNCT
bracis-33650	162	1	we	we	PRON
bracis-33650	162	2	compare	compare	VERB
bracis-33650	162	3	the	the	DET
bracis-33650	162	4	opencast	opencast	NOUN
bracis-33650	162	5	with	with	ADP
bracis-33650	162	6	cma	cma	NOUN
bracis-33650	162	7	and	and	CCONJ
bracis-33650	162	8	fma	fma	NOUN
bracis-33650	162	9	from	from	ADP
bracis-33650	162	10	[	[	X
bracis-33650	162	11	14	14	NUM
bracis-33650	162	12	]	]	PUNCT
bracis-33650	162	13	,	,	PUNCT
bracis-33650	162	14	ocsvm	ocsvm	ADV
bracis-33650	162	15	,	,	PUNCT
bracis-33650	162	16	iforest	iforest	ADJ
bracis-33650	162	17	,	,	PUNCT
bracis-33650	162	18	and	and	CCONJ
bracis-33650	162	19	lof	lof	VERB
bracis-33650	162	20	to	to	PART
bracis-33650	162	21	cover	cover	VERB
bracis-33650	162	22	the	the	DET
bracis-33650	162	23	classical	classical	ADJ
bracis-33650	162	24	and	and	CCONJ
bracis-33650	162	25	adaptation	adaptation	NOUN
bracis-33650	162	26	of	of	ADP
bracis-33650	162	27	ocl	ocl	PROPN
bracis-33650	162	28	algorithms	algorithm	NOUN
bracis-33650	162	29	for	for	ADP
bracis-33650	162	30	data	datum	NOUN
bracis-33650	162	31	streamsfootnote	streamsfootnote	NOUN
bracis-33650	162	32	7	7	NUM
bracis-33650	162	33	.	.	PUNCT
bracis-33650	162	34	furthermore	furthermore	ADV
bracis-33650	162	35	,	,	PUNCT
bracis-33650	162	36	considering	consider	VERB
bracis-33650	162	37	the	the	DET
bracis-33650	162	38	one	one	NUM
bracis-33650	162	39	-	-	PUNCT
bracis-33650	162	40	class	class	NOUN
bracis-33650	162	41	cluster	cluster	NOUN
bracis-33650	162	42	algorithms	algorithm	NOUN
bracis-33650	162	43	of	of	ADP
bracis-33650	162	44	the	the	DET
bracis-33650	162	45	data	datum	NOUN
bracis-33650	162	46	stream	stream	NOUN
bracis-33650	162	47	from	from	ADP
bracis-33650	162	48	the	the	DET
bracis-33650	162	49	literature	literature	NOUN
bracis-33650	162	50	,	,	PUNCT
bracis-33650	162	51	we	we	PRON
bracis-33650	162	52	compare	compare	VERB
bracis-33650	162	53	our	our	PRON
bracis-33650	162	54	method	method	NOUN
bracis-33650	162	55	with	with	ADP
bracis-33650	162	56	cdd	cdd	PROPN
bracis-33650	162	57	[	[	X
bracis-33650	162	58	18	18	NUM
bracis-33650	162	59	]	]	PUNCT
bracis-33650	162	60	.	.	PUNCT
bracis-33650	163	1	we	we	PRON
bracis-33650	163	2	also	also	ADV
bracis-33650	163	3	adapted	adapt	VERB
bracis-33650	163	4	the	the	DET
bracis-33650	163	5	lof	lof	PROPN
bracis-33650	163	6	algorithm	algorithm	NOUN
bracis-33650	163	7	to	to	PART
bracis-33650	163	8	compare	compare	VERB
bracis-33650	163	9	opencast	opencast	NOUN
bracis-33650	163	10	with	with	ADP
bracis-33650	163	11	another	another	DET
bracis-33650	163	12	method	method	NOUN
bracis-33650	163	13	with	with	ADP
bracis-33650	163	14	graph	graph	NOUN
bracis-33650	163	15	topology	topology	NOUN
bracis-33650	163	16	information	information	NOUN
bracis-33650	163	17	since	since	SCONJ
bracis-33650	163	18	lof	lof	PROPN
bracis-33650	163	19	has	have	VERB
bracis-33650	163	20	a	a	DET
bracis-33650	163	21	parameter	parameter	NOUN
bracis-33650	163	22	to	to	PART
bracis-33650	163	23	receive	receive	VERB
bracis-33650	163	24	neighbor	neighbor	NOUN
bracis-33650	163	25	information	information	NOUN
bracis-33650	163	26	.	.	PUNCT
bracis-33650	164	1	we	we	PRON
bracis-33650	164	2	use	use	VERB
bracis-33650	164	3	the	the	DET
bracis-33650	164	4	following	follow	VERB
bracis-33650	164	5	parameters	parameter	NOUN
bracis-33650	164	6	for	for	ADP
bracis-33650	164	7	the	the	DET
bracis-33650	164	8	methods	method	NOUN
bracis-33650	164	9	:	:	PUNCT
bracis-33650	164	10	ocsvm	ocsvm	ADJ
bracis-33650	164	11	,	,	PUNCT
bracis-33650	164	12	cma	cma	NOUN
bracis-33650	164	13	,	,	PUNCT
bracis-33650	164	14	and	and	CCONJ
bracis-33650	164	15	fma	fma	NOUN
bracis-33650	164	16	:	:	PUNCT
bracis-33650	164	17	kernel	kernel	PROPN
bracis-33650	164	18	=	=	PRON
bracis-33650	164	19	{	{	PUNCT
bracis-33650	164	20	rbf	rbf	PROPN
bracis-33650	164	21	,	,	PUNCT
bracis-33650	164	22	poly	poly	NOUN
bracis-33650	164	23	,	,	PUNCT
bracis-33650	164	24	sigmoid	sigmoid	NOUN
bracis-33650	164	25	,	,	PUNCT
bracis-33650	164	26	linear	linear	ADJ
bracis-33650	164	27	}	}	PUNCT
bracis-33650	164	28	,	,	PUNCT
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bracis-33650	164	30	=	=	SYM
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bracis-33650	164	32	*	*	PROPN
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bracis-33650	164	34	,	,	PUNCT
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bracis-33650	164	37	b\	b\	NOUN
bracis-33650	164	38	}	}	PUNCT
bracis-33650	164	39	,	,	PUNCT
bracis-33650	164	40	b	b	X
bracis-33650	164	41	\in	\in	X
bracis-33650	164	42	[	[	X
bracis-33650	164	43	1	1	NUM
bracis-33650	164	44	..	..	SYM
bracis-33650	164	45	19]\	19]\	NUM
bracis-33650	164	46	)	)	PUNCT
bracis-33650	164	47	,	,	PUNCT
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bracis-33650	164	49	\(\gamma	\(\gamma	X
bracis-33650	164	50	=	=	SYM
bracis-33650	164	51	\{\	\{\	NOUN
bracis-33650	164	52	)	)	PUNCT
bracis-33650	164	53	scale	scale	NOUN
bracis-33650	164	54	,	,	PUNCT
bracis-33650	164	55	auto	auto	NOUN
bracis-33650	164	56	\(\}\	\(\}\	NOUN
bracis-33650	164	57	)	)	PUNCT
bracis-33650	164	58	;	;	PUNCT
bracis-33650	164	59	fma	fma	NOUN
bracis-33650	164	60	:	:	PUNCT
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bracis-33650	164	62	=	=	SYM
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bracis-33650	164	69	2000\}\	2000\}\	NUM
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bracis-33650	164	81	[	[	X
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bracis-33650	164	83	..	..	SYM
bracis-33650	164	84	9]\	9]\	NOUN
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bracis-33650	164	86	;	;	PUNCT
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bracis-33650	164	97	,	,	PUNCT
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bracis-33650	164	99	samples	sample	NOUN
bracis-33650	164	100	and	and	CCONJ
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bracis-33650	164	102	features	feature	NOUN
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bracis-33650	164	106	b\	b\	NOUN
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bracis-33650	164	108	,	,	PUNCT
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bracis-33650	164	110	\in	\in	X
bracis-33650	164	111	[	[	X
bracis-33650	164	112	1	1	NUM
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bracis-33650	164	114	10]\	10]\	NUM
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bracis-33650	164	116	;	;	PUNCT
bracis-33650	164	117	lof	lof	PROPN
bracis-33650	164	118	:	:	PUNCT
bracis-33650	164	119	n\(^\circ	n\(^\circ	PROPN
bracis-33650	164	120	\	\	PROPN
bracis-33650	164	121	)	)	PUNCT
bracis-33650	164	122	of	of	ADP
bracis-33650	164	123	neighbors	neighbor	NOUN
bracis-33650	164	124	=	=	PUNCT
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bracis-33650	164	127	;	;	PUNCT
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bracis-33650	164	129	:	:	PUNCT
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bracis-33650	164	134	neighbors	neighbor	NOUN
bracis-33650	164	135	=	=	PUNCT
bracis-33650	164	136	\(\{1,2,3,4,5,6,7,8,9,10,15,20\}\	\(\{1,2,3,4,5,6,7,8,9,10,15,20\}\	ADJ
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bracis-33650	164	142	modeling	modeling	NOUN
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bracis-33650	164	181	for	for	ADP
bracis-33650	164	182	graph	graph	NOUN
bracis-33650	164	183	modeling	modeling	NOUN
bracis-33650	164	184	=	=	SYM
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bracis-33650	165	1	[	[	X
bracis-33650	166	1	0,0]\	0,0]\	NOUN
bracis-33650	166	2	)	)	PUNCT
bracis-33650	167	1	,	,	PUNCT
bracis-33650	167	2	epochs	epoch	NOUN
bracis-33650	167	3	=	=	SYM
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bracis-33650	167	5	,	,	PUNCT
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bracis-33650	167	14	=	=	SYM
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bracis-33650	167	16	*	*	PUNCT
bracis-33650	167	17	b\	b\	NOUN
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bracis-33650	167	19	,	,	PUNCT
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bracis-33650	167	23	1	1	NUM
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bracis-33650	167	25	9]\	9]\	NOUN
bracis-33650	167	26	)	)	PUNCT
bracis-33650	167	27	,	,	PUNCT
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bracis-33650	167	29	rate	rate	NOUN
bracis-33650	167	30	=	=	NOUN
bracis-33650	167	31	0.001	0.001	NUM
bracis-33650	167	32	.	.	PUNCT
bracis-33650	168	1	5.3	5.3	NUM
bracis-33650	168	2	results	result	NOUN
bracis-33650	168	3	and	and	CCONJ
bracis-33650	168	4	 	 	SPACE
bracis-33650	168	5	discussion	discussion	NOUN
bracis-33650	168	6	table	table	NOUN
bracis-33650	168	7	 	 	SPACE
bracis-33650	168	8	2	2	NUM
bracis-33650	168	9	shows	show	VERB
bracis-33650	168	10	our	our	PRON
bracis-33650	168	11	results	result	NOUN
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bracis-33650	169	3	row	row	NOUN
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bracis-33650	169	8	a	a	DET
bracis-33650	169	9	method	method	NOUN
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bracis-33650	169	11	the	the	DET
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bracis-33650	170	6	\(f_1\	\(f_1\	PROPN
bracis-33650	170	7	)	)	PUNCT
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bracis-33650	170	9	averages	average	NOUN
bracis-33650	170	10	.	.	PUNCT
bracis-33650	171	1	underlined	underline	VERB
bracis-33650	171	2	are	be	AUX
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bracis-33650	171	4	second	second	ADV
bracis-33650	171	5	-	-	PUNCT
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bracis-33650	171	7	macro	macro	ADJ
bracis-33650	171	8	\(f_1\	\(f_1\	PROPN
bracis-33650	171	9	)	)	PUNCT
bracis-33650	171	10	averages	average	NOUN
bracis-33650	171	11	.	.	PUNCT
bracis-33650	172	1	in	in	ADP
bracis-33650	172	2	parentheses	parenthesis	NOUN
bracis-33650	172	3	are	be	AUX
bracis-33650	172	4	the	the	DET
bracis-33650	172	5	standard	standard	ADJ
bracis-33650	172	6	deviations	deviation	NOUN
bracis-33650	172	7	for	for	ADP
bracis-33650	172	8	each	each	DET
bracis-33650	172	9	result	result	NOUN
bracis-33650	172	10	.	.	PUNCT
bracis-33650	173	1	in	in	ADP
bracis-33650	173	2	the	the	DET
bracis-33650	173	3	four	four	NUM
bracis-33650	173	4	datasets	dataset	NOUN
bracis-33650	173	5	,	,	PUNCT
bracis-33650	173	6	opencast	opencast	NOUN
bracis-33650	173	7	obtained	obtain	VERB
bracis-33650	173	8	the	the	DET
bracis-33650	173	9	highest	high	ADJ
bracis-33650	173	10	macro	macro	ADJ
bracis-33650	173	11	\(f_1\	\(f_1\	PROPN
bracis-33650	173	12	)	)	PUNCT
bracis-33650	173	13	averages	average	NOUN
bracis-33650	173	14	.	.	PUNCT
bracis-33650	174	1	in	in	ADP
bracis-33650	174	2	three	three	NUM
bracis-33650	174	3	of	of	ADP
bracis-33650	174	4	the	the	DET
bracis-33650	174	5	datasets	dataset	NOUN
bracis-33650	174	6	,	,	PUNCT
bracis-33650	174	7	ocsvm	ocsvm	ADV
bracis-33650	174	8	obtained	obtain	VERB
bracis-33650	174	9	the	the	DET
bracis-33650	174	10	second	second	ADV
bracis-33650	174	11	-	-	PUNCT
bracis-33650	174	12	best	good	ADJ
bracis-33650	174	13	result	result	NOUN
bracis-33650	174	14	.	.	PUNCT
bracis-33650	175	1	in	in	ADP
bracis-33650	175	2	the	the	DET
bracis-33650	175	3	electricity	electricity	NOUN
bracis-33650	175	4	dataset	dataset	NOUN
bracis-33650	175	5	,	,	PUNCT
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bracis-33650	175	7	obtained	obtain	VERB
bracis-33650	175	8	the	the	DET
bracis-33650	175	9	second	second	ADV
bracis-33650	175	10	-	-	PUNCT
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bracis-33650	175	12	result	result	NOUN
bracis-33650	175	13	.	.	PUNCT
bracis-33650	176	1	for	for	ADP
bracis-33650	176	2	real	real	ADJ
bracis-33650	176	3	datasets	dataset	NOUN
bracis-33650	176	4	,	,	PUNCT
bracis-33650	176	5	opencast	opencast	NOUN
bracis-33650	176	6	improved	improve	VERB
bracis-33650	176	7	to	to	ADP
bracis-33650	176	8	the	the	DET
bracis-33650	176	9	second	second	ADJ
bracis-33650	176	10	or	or	CCONJ
bracis-33650	176	11	third	third	ADJ
bracis-33650	176	12	decimal	decimal	ADJ
bracis-33650	176	13	place	place	NOUN
bracis-33650	176	14	.	.	PUNCT
bracis-33650	177	1	on	on	ADP
bracis-33650	177	2	the	the	DET
bracis-33650	177	3	other	other	ADJ
bracis-33650	177	4	hand	hand	NOUN
bracis-33650	177	5	,	,	PUNCT
bracis-33650	177	6	in	in	ADP
bracis-33650	177	7	the	the	DET
bracis-33650	177	8	synthetic	synthetic	ADJ
bracis-33650	177	9	datasets	dataset	NOUN
bracis-33650	177	10	,	,	PUNCT
bracis-33650	177	11	opencast	opencast	NOUN
bracis-33650	177	12	improved	improve	VERB
bracis-33650	177	13	23	23	NUM
bracis-33650	177	14	%	%	NOUN
bracis-33650	177	15	and	and	CCONJ
bracis-33650	177	16	31	31	NUM
bracis-33650	177	17	%	%	NOUN
bracis-33650	177	18	in	in	ADP
bracis-33650	177	19	the	the	DET
bracis-33650	177	20	average	average	ADJ
bracis-33650	177	21	\(f_1\	\(f_1\	PROPN
bracis-33650	177	22	)	)	PUNCT
bracis-33650	177	23	macro	macro	NOUN
bracis-33650	177	24	.	.	PUNCT
bracis-33650	178	1	the	the	DET
bracis-33650	178	2	worst	bad	ADJ
bracis-33650	178	3	results	result	NOUN
bracis-33650	178	4	were	be	AUX
bracis-33650	178	5	obtained	obtain	VERB
bracis-33650	178	6	by	by	ADP
bracis-33650	178	7	graphlof	graphlof	PROPN
bracis-33650	178	8	,	,	PUNCT
bracis-33650	178	9	followed	follow	VERB
bracis-33650	178	10	by	by	ADP
bracis-33650	178	11	lof	lof	PROPN
bracis-33650	178	12	and	and	CCONJ
bracis-33650	178	13	cdd	cdd	PROPN
bracis-33650	178	14	.	.	PROPN
bracis-33650	178	15	cma	cma	PROPN
bracis-33650	178	16	,	,	PUNCT
bracis-33650	178	17	fma	fma	NOUN
bracis-33650	178	18	,	,	PUNCT
bracis-33650	178	19	and	and	CCONJ
bracis-33650	178	20	iforest	iforest	NOUN
bracis-33650	178	21	were	be	AUX
bracis-33650	178	22	competitive	competitive	ADJ
bracis-33650	178	23	with	with	ADP
bracis-33650	178	24	ocsvm	ocsvm	ADJ
bracis-33650	178	25	.	.	PUNCT
bracis-33650	179	1	table	table	NOUN
bracis-33650	179	2	2	2	NUM
bracis-33650	179	3	.	.	X
bracis-33650	179	4	average	average	ADJ
bracis-33650	179	5	macro	macro	PROPN
bracis-33650	179	6	\(f_1\	\(f_1\	PROPN
bracis-33650	179	7	)	)	PUNCT
bracis-33650	179	8	for	for	ADP
bracis-33650	179	9	each	each	DET
bracis-33650	179	10	method	method	NOUN
bracis-33650	179	11	in	in	ADP
bracis-33650	179	12	the	the	DET
bracis-33650	179	13	four	four	NUM
bracis-33650	179	14	datasets	dataset	NOUN
bracis-33650	179	15	.	.	PUNCT
bracis-33650	180	1	the	the	DET
bracis-33650	180	2	best	good	ADJ
bracis-33650	180	3	results	result	NOUN
bracis-33650	180	4	are	be	AUX
bracis-33650	180	5	in	in	ADP
bracis-33650	180	6	bold	bold	ADJ
bracis-33650	180	7	,	,	PUNCT
bracis-33650	180	8	and	and	CCONJ
bracis-33650	180	9	the	the	DET
bracis-33650	180	10	second	second	ADJ
bracis-33650	180	11	best	good	ADJ
bracis-33650	180	12	are	be	AUX
bracis-33650	180	13	underlined.full	underlined.full	ADJ
bracis-33650	180	14	size	size	NOUN
bracis-33650	180	15	table	table	NOUN
bracis-33650	180	16	the	the	DET
bracis-33650	180	17	worst	bad	ADJ
bracis-33650	180	18	result	result	NOUN
bracis-33650	180	19	of	of	ADP
bracis-33650	180	20	opencast	opencast	NOUN
bracis-33650	180	21	was	be	AUX
bracis-33650	180	22	in	in	ADP
bracis-33650	180	23	the	the	DET
bracis-33650	180	24	dataset	dataset	NOUN
bracis-33650	180	25	bank	bank	NOUN
bracis-33650	180	26	.	.	PUNCT
bracis-33650	181	1	this	this	PRON
bracis-33650	181	2	is	be	AUX
bracis-33650	181	3	the	the	DET
bracis-33650	181	4	most	most	ADV
bracis-33650	181	5	unbalanced	unbalanced	ADJ
bracis-33650	181	6	dataset	dataset	NOUN
bracis-33650	181	7	(	(	PUNCT
bracis-33650	181	8	see	see	VERB
bracis-33650	181	9	table	table	NOUN
bracis-33650	181	10	 	 	SPACE
bracis-33650	181	11	1	1	NUM
bracis-33650	181	12	)	)	PUNCT
bracis-33650	181	13	.	.	PUNCT
bracis-33650	182	1	therefore	therefore	ADV
bracis-33650	182	2	,	,	PUNCT
bracis-33650	182	3	the	the	DET
bracis-33650	182	4	lack	lack	NOUN
bracis-33650	182	5	of	of	ADP
bracis-33650	182	6	interest	interest	NOUN
bracis-33650	182	7	and	and	CCONJ
bracis-33650	182	8	many	many	ADJ
bracis-33650	182	9	examples	example	NOUN
bracis-33650	182	10	of	of	ADP
bracis-33650	182	11	non	non	ADJ
bracis-33650	182	12	-	-	ADJ
bracis-33650	182	13	interest	interest	NOUN
bracis-33650	182	14	may	may	AUX
bracis-33650	182	15	have	have	AUX
bracis-33650	182	16	been	be	AUX
bracis-33650	182	17	the	the	DET
bracis-33650	182	18	factor	factor	NOUN
bracis-33650	182	19	for	for	ADP
bracis-33650	182	20	our	our	PRON
bracis-33650	182	21	low	low	ADJ
bracis-33650	182	22	performance	performance	NOUN
bracis-33650	182	23	.	.	PUNCT
bracis-33650	183	1	it	it	PRON
bracis-33650	183	2	is	be	AUX
bracis-33650	183	3	worth	worth	ADJ
bracis-33650	183	4	mentioning	mention	VERB
bracis-33650	183	5	that	that	SCONJ
bracis-33650	183	6	the	the	DET
bracis-33650	183	7	other	other	ADJ
bracis-33650	183	8	methods	method	NOUN
bracis-33650	183	9	also	also	ADV
bracis-33650	183	10	suffered	suffer	VERB
bracis-33650	183	11	from	from	ADP
bracis-33650	183	12	this	this	DET
bracis-33650	183	13	imbalance	imbalance	NOUN
bracis-33650	183	14	.	.	PUNCT
bracis-33650	184	1	given	give	VERB
bracis-33650	184	2	the	the	DET
bracis-33650	184	3	low	low	ADJ
bracis-33650	184	4	performance	performance	NOUN
bracis-33650	184	5	of	of	ADP
bracis-33650	184	6	all	all	DET
bracis-33650	184	7	methods	method	NOUN
bracis-33650	184	8	in	in	ADP
bracis-33650	184	9	this	this	DET
bracis-33650	184	10	dataset	dataset	NOUN
bracis-33650	184	11	,	,	PUNCT
bracis-33650	184	12	we	we	PRON
bracis-33650	184	13	believe	believe	VERB
bracis-33650	184	14	that	that	SCONJ
bracis-33650	184	15	the	the	DET
bracis-33650	184	16	initial	initial	ADJ
bracis-33650	184	17	representations	representation	NOUN
bracis-33650	184	18	also	also	ADV
bracis-33650	184	19	harm	harm	VERB
bracis-33650	184	20	the	the	DET
bracis-33650	184	21	learning	learning	NOUN
bracis-33650	184	22	,	,	PUNCT
bracis-33650	184	23	i.e.	i.e.	X
bracis-33650	184	24	,	,	PUNCT
bracis-33650	184	25	it	it	PRON
bracis-33650	184	26	is	be	AUX
bracis-33650	184	27	necessary	necessary	ADJ
bracis-33650	184	28	to	to	AUX
bracis-33650	184	29	pre	pre	VERB
bracis-33650	184	30	-	-	VERB
bracis-33650	184	31	process	process	NOUN
bracis-33650	184	32	to	to	PART
bracis-33650	184	33	normalize	normalize	VERB
bracis-33650	184	34	,	,	PUNCT
bracis-33650	184	35	standardize	standardize	NOUN
bracis-33650	184	36	,	,	PUNCT
bracis-33650	184	37	and	and	CCONJ
bracis-33650	184	38	even	even	ADV
bracis-33650	184	39	perform	perform	VERB
bracis-33650	184	40	feature	feature	NOUN
bracis-33650	184	41	selection	selection	NOUN
bracis-33650	184	42	to	to	PART
bracis-33650	184	43	improve	improve	VERB
bracis-33650	184	44	the	the	DET
bracis-33650	184	45	ocl	ocl	PROPN
bracis-33650	184	46	performance	performance	NOUN
bracis-33650	184	47	in	in	ADP
bracis-33650	184	48	these	these	DET
bracis-33650	184	49	data	datum	NOUN
bracis-33650	184	50	stream	stream	NOUN
bracis-33650	184	51	datasets	dataset	NOUN
bracis-33650	184	52	.	.	PUNCT
bracis-33650	185	1	we	we	PRON
bracis-33650	185	2	obtained	obtain	VERB
bracis-33650	185	3	satisfactory	satisfactory	ADJ
bracis-33650	185	4	sota	sota	NOUN
bracis-33650	185	5	results	result	NOUN
bracis-33650	185	6	for	for	ADP
bracis-33650	185	7	data	datum	NOUN
bracis-33650	185	8	streams	stream	NOUN
bracis-33650	185	9	through	through	ADP
bracis-33650	185	10	ocl	ocl	PROPN
bracis-33650	185	11	in	in	ADP
bracis-33650	185	12	the	the	DET
bracis-33650	185	13	other	other	ADJ
bracis-33650	185	14	datasets	dataset	NOUN
bracis-33650	185	15	.	.	PUNCT
bracis-33650	186	1	an	an	DET
bracis-33650	186	2	interesting	interesting	ADJ
bracis-33650	186	3	point	point	NOUN
bracis-33650	186	4	is	be	AUX
bracis-33650	186	5	the	the	DET
bracis-33650	186	6	good	good	ADJ
bracis-33650	186	7	results	result	NOUN
bracis-33650	186	8	on	on	ADP
bracis-33650	186	9	different	different	ADJ
bracis-33650	186	10	types	type	NOUN
bracis-33650	186	11	of	of	ADP
bracis-33650	186	12	datasets	dataset	NOUN
bracis-33650	186	13	(	(	PUNCT
bracis-33650	186	14	real	real	ADJ
bracis-33650	186	15	and	and	CCONJ
bracis-33650	186	16	synthetic	synthetic	ADJ
bracis-33650	186	17	)	)	PUNCT
bracis-33650	186	18	,	,	PUNCT
bracis-33650	186	19	with	with	ADP
bracis-33650	186	20	varying	vary	VERB
bracis-33650	186	21	sizes	size	NOUN
bracis-33650	186	22	of	of	ADP
bracis-33650	186	23	features	feature	NOUN
bracis-33650	186	24	(	(	PUNCT
bracis-33650	186	25	500	500	NUM
bracis-33650	186	26	,	,	PUNCT
bracis-33650	186	27	40	40	NUM
bracis-33650	186	28	,	,	PUNCT
bracis-33650	186	29	and	and	CCONJ
bracis-33650	186	30	6	6	NUM
bracis-33650	186	31	)	)	PUNCT
bracis-33650	186	32	and	and	CCONJ
bracis-33650	186	33	number	number	NOUN
bracis-33650	186	34	of	of	ADP
bracis-33650	186	35	instances	instance	NOUN
bracis-33650	186	36	(	(	PUNCT
bracis-33650	186	37	100k	100k	NUM
bracis-33650	186	38	and	and	CCONJ
bracis-33650	186	39	45k	45k	NOUN
bracis-33650	186	40	)	)	PUNCT
bracis-33650	186	41	.	.	PUNCT
bracis-33650	187	1	figures	figure	NOUN
bracis-33650	187	2	 	 	SPACE
bracis-33650	187	3	3	3	NUM
bracis-33650	187	4	,	,	PUNCT
bracis-33650	187	5	4	4	NUM
bracis-33650	187	6	,	,	PUNCT
bracis-33650	187	7	5	5	NUM
bracis-33650	187	8	,	,	PUNCT
bracis-33650	187	9	and	and	CCONJ
bracis-33650	187	10	6	6	NUM
bracis-33650	187	11	present	present	ADJ
bracis-33650	187	12	the	the	DET
bracis-33650	187	13	\(f_1\	\(f_1\	PROPN
bracis-33650	187	14	)	)	PUNCT
bracis-33650	187	15	macro	macro	NOUN
bracis-33650	187	16	in	in	ADP
bracis-33650	187	17	each	each	DET
bracis-33650	187	18	iteration	iteration	NOUN
bracis-33650	187	19	for	for	ADP
bracis-33650	187	20	each	each	DET
bracis-33650	187	21	dataset	dataset	NOUN
bracis-33650	187	22	.	.	PUNCT
bracis-33650	188	1	in	in	ADP
bracis-33650	188	2	figs	fig	NOUN
bracis-33650	188	3	.	.	PUNCT
bracis-33650	188	4	 	 	SPACE
bracis-33650	188	5	5	5	NUM
bracis-33650	188	6	and	and	CCONJ
bracis-33650	188	7	6	6	NUM
bracis-33650	188	8	,	,	PUNCT
bracis-33650	188	9	opencast	opencast	NOUN
bracis-33650	188	10	always	always	ADV
bracis-33650	188	11	obtains	obtain	VERB
bracis-33650	188	12	better	well	ADJ
bracis-33650	188	13	performance	performance	NOUN
bracis-33650	188	14	stably	stably	ADV
bracis-33650	188	15	.	.	PUNCT
bracis-33650	189	1	we	we	PRON
bracis-33650	189	2	observed	observe	VERB
bracis-33650	189	3	other	other	ADJ
bracis-33650	189	4	stable	stable	ADJ
bracis-33650	189	5	methods	method	NOUN
bracis-33650	189	6	but	but	CCONJ
bracis-33650	189	7	with	with	ADP
bracis-33650	189	8	worse	bad	ADJ
bracis-33650	189	9	performance	performance	NOUN
bracis-33650	189	10	or	or	CCONJ
bracis-33650	189	11	unstable	unstable	ADJ
bracis-33650	189	12	and	and	CCONJ
bracis-33650	189	13	with	with	ADP
bracis-33650	189	14	worse	bad	ADJ
bracis-33650	189	15	performance	performance	NOUN
bracis-33650	189	16	.	.	PUNCT
bracis-33650	190	1	in	in	ADP
bracis-33650	190	2	fig	fig	NOUN
bracis-33650	190	3	.	.	PUNCT
bracis-33650	190	4	 	 	SPACE
bracis-33650	190	5	3	3	NUM
bracis-33650	190	6	,	,	PUNCT
bracis-33650	190	7	opencast	opencast	NOUN
bracis-33650	190	8	wins	win	NOUN
bracis-33650	190	9	in	in	ADP
bracis-33650	190	10	some	some	DET
bracis-33650	190	11	iterations	iteration	NOUN
bracis-33650	190	12	and	and	CCONJ
bracis-33650	190	13	loses	lose	VERB
bracis-33650	190	14	in	in	ADP
bracis-33650	190	15	others	other	NOUN
bracis-33650	190	16	.	.	PUNCT
bracis-33650	191	1	for	for	ADP
bracis-33650	191	2	this	this	DET
bracis-33650	191	3	dataset	dataset	NOUN
bracis-33650	191	4	,	,	PUNCT
bracis-33650	191	5	most	most	ADJ
bracis-33650	191	6	methods	method	NOUN
bracis-33650	191	7	were	be	AUX
bracis-33650	191	8	stable	stable	ADJ
bracis-33650	191	9	except	except	SCONJ
bracis-33650	191	10	cdd	cdd	PROPN
bracis-33650	191	11	.	.	PROPN
bracis-33650	191	12	in	in	ADP
bracis-33650	191	13	fig	fig	NOUN
bracis-33650	191	14	.	.	PUNCT
bracis-33650	191	15	 	 	SPACE
bracis-33650	192	1	4	4	NUM
bracis-33650	192	2	,	,	PUNCT
bracis-33650	192	3	we	we	PRON
bracis-33650	192	4	observe	observe	VERB
bracis-33650	192	5	the	the	DET
bracis-33650	192	6	highest	high	ADJ
bracis-33650	192	7	level	level	NOUN
bracis-33650	192	8	of	of	ADP
bracis-33650	192	9	instability	instability	NOUN
bracis-33650	192	10	in	in	ADP
bracis-33650	192	11	the	the	DET
bracis-33650	192	12	methods	method	NOUN
bracis-33650	192	13	with	with	ADP
bracis-33650	192	14	the	the	DET
bracis-33650	192	15	best	good	ADJ
bracis-33650	192	16	averages	average	NOUN
bracis-33650	192	17	(	(	PUNCT
bracis-33650	192	18	opencast	opencast	NOUN
bracis-33650	192	19	and	and	CCONJ
bracis-33650	192	20	iforest	iforest	NOUN
bracis-33650	192	21	)	)	PUNCT
bracis-33650	192	22	.	.	PUNCT
bracis-33650	193	1	opencast	opencast	NOUN
bracis-33650	193	2	wins	win	VERB
bracis-33650	193	3	in	in	ADP
bracis-33650	193	4	some	some	DET
bracis-33650	193	5	iterations	iteration	NOUN
bracis-33650	193	6	and	and	CCONJ
bracis-33650	193	7	loses	lose	VERB
bracis-33650	193	8	in	in	ADP
bracis-33650	193	9	others	other	NOUN
bracis-33650	193	10	,	,	PUNCT
bracis-33650	193	11	as	as	ADP
bracis-33650	193	12	in	in	ADP
bracis-33650	193	13	the	the	DET
bracis-33650	193	14	dataset	dataset	NOUN
bracis-33650	193	15	bank	bank	NOUN
bracis-33650	193	16	.	.	PUNCT
bracis-33650	194	1	opencast	opencast	NOUN
bracis-33650	194	2	is	be	AUX
bracis-33650	194	3	a	a	DET
bracis-33650	194	4	method	method	NOUN
bracis-33650	194	5	based	base	VERB
bracis-33650	194	6	on	on	ADP
bracis-33650	194	7	neural	neural	ADJ
bracis-33650	194	8	networks	network	NOUN
bracis-33650	194	9	and	and	CCONJ
bracis-33650	194	10	needs	need	VERB
bracis-33650	194	11	a	a	DET
bracis-33650	194	12	learning	learning	NOUN
bracis-33650	194	13	rate	rate	NOUN
bracis-33650	194	14	.	.	PUNCT
bracis-33650	195	1	one	one	NUM
bracis-33650	195	2	of	of	ADP
bracis-33650	195	3	the	the	DET
bracis-33650	195	4	possibilities	possibility	NOUN
bracis-33650	195	5	for	for	ADP
bracis-33650	195	6	improving	improve	VERB
bracis-33650	195	7	the	the	DET
bracis-33650	195	8	method	method	NOUN
bracis-33650	195	9	’s	’s	PART
bracis-33650	195	10	performance	performance	NOUN
bracis-33650	195	11	and	and	CCONJ
bracis-33650	195	12	generating	generate	VERB
bracis-33650	195	13	stability	stability	NOUN
bracis-33650	195	14	is	be	AUX
bracis-33650	195	15	exploring	explore	VERB
bracis-33650	195	16	a	a	DET
bracis-33650	195	17	lower	low	ADJ
bracis-33650	195	18	learning	learning	NOUN
bracis-33650	195	19	rate	rate	NOUN
bracis-33650	195	20	and	and	CCONJ
bracis-33650	195	21	more	more	ADJ
bracis-33650	195	22	training	training	NOUN
bracis-33650	195	23	epochs	epoch	NOUN
bracis-33650	195	24	.	.	PUNCT
bracis-33650	196	1	fig	fig	NOUN
bracis-33650	196	2	.	.	PUNCT
bracis-33650	197	1	3	3	X
bracis-33650	197	2	.	.	X
bracis-33650	197	3	\(f_1\	\(f_1\	NOUN
bracis-33650	197	4	)	)	PUNCT
bracis-33650	197	5	macro	macro	NOUN
bracis-33650	197	6	of	of	ADP
bracis-33650	197	7	each	each	DET
bracis-33650	197	8	iteration	iteration	NOUN
bracis-33650	197	9	of	of	ADP
bracis-33650	197	10	each	each	DET
bracis-33650	197	11	method	method	NOUN
bracis-33650	197	12	in	in	ADP
bracis-33650	197	13	dataset	dataset	NOUN
bracis-33650	197	14	bank	bank	NOUN
bracis-33650	197	15	.	.	PUNCT
bracis-33650	198	1	full	full	ADJ
bracis-33650	198	2	size	size	NOUN
bracis-33650	198	3	image	image	NOUN
bracis-33650	198	4	fig	fig	NOUN
bracis-33650	198	5	.	.	PUNCT
bracis-33650	199	1	4	4	X
bracis-33650	199	2	.	.	X
bracis-33650	199	3	\(f_1\	\(f_1\	NOUN
bracis-33650	199	4	)	)	PUNCT
bracis-33650	199	5	macro	macro	NOUN
bracis-33650	199	6	of	of	ADP
bracis-33650	199	7	each	each	DET
bracis-33650	199	8	iteration	iteration	NOUN
bracis-33650	199	9	of	of	ADP
bracis-33650	199	10	each	each	DET
bracis-33650	199	11	method	method	NOUN
bracis-33650	199	12	in	in	ADP
bracis-33650	199	13	dataset	dataset	ADJ
bracis-33650	199	14	electricity	electricity	NOUN
bracis-33650	199	15	.	.	PUNCT
bracis-33650	200	1	full	full	ADJ
bracis-33650	200	2	size	size	NOUN
bracis-33650	200	3	image	image	NOUN
bracis-33650	200	4	fig	fig	NOUN
bracis-33650	200	5	.	.	PUNCT
bracis-33650	201	1	5	5	X
bracis-33650	201	2	.	.	X
bracis-33650	201	3	\(f_1\	\(f_1\	NOUN
bracis-33650	201	4	)	)	PUNCT
bracis-33650	201	5	macro	macro	NOUN
bracis-33650	201	6	of	of	ADP
bracis-33650	201	7	each	each	DET
bracis-33650	201	8	iteration	iteration	NOUN
bracis-33650	201	9	of	of	ADP
bracis-33650	201	10	each	each	DET
bracis-33650	201	11	method	method	NOUN
bracis-33650	201	12	in	in	ADP
bracis-33650	201	13	dataset	dataset	NOUN
bracis-33650	201	14	agrawal	agrawal	PROPN
bracis-33650	201	15	.	.	PUNCT
bracis-33650	202	1	full	full	ADJ
bracis-33650	202	2	size	size	NOUN
bracis-33650	202	3	image	image	NOUN
bracis-33650	202	4	fig	fig	NOUN
bracis-33650	202	5	.	.	PUNCT
bracis-33650	203	1	6	6	X
bracis-33650	203	2	.	.	X
bracis-33650	203	3	\(f_1\	\(f_1\	NOUN
bracis-33650	203	4	)	)	PUNCT
bracis-33650	203	5	macro	macro	NOUN
bracis-33650	203	6	of	of	ADP
bracis-33650	203	7	each	each	DET
bracis-33650	203	8	iteration	iteration	NOUN
bracis-33650	203	9	of	of	ADP
bracis-33650	203	10	each	each	DET
bracis-33650	203	11	method	method	NOUN
bracis-33650	203	12	in	in	ADP
bracis-33650	203	13	dataset	dataset	NOUN
bracis-33650	203	14	twitter	twitter	NOUN
bracis-33650	203	15	.	.	PUNCT
bracis-33650	204	1	full	full	ADJ
bracis-33650	204	2	size	size	NOUN
bracis-33650	204	3	image	image	NOUN
bracis-33650	204	4	we	we	PRON
bracis-33650	204	5	present	present	VERB
bracis-33650	204	6	the	the	DET
bracis-33650	204	7	representations	representation	NOUN
bracis-33650	204	8	generated	generate	VERB
bracis-33650	204	9	by	by	ADP
bracis-33650	204	10	the	the	DET
bracis-33650	204	11	opencast	opencast	NOUN
bracis-33650	204	12	learning	learn	VERB
bracis-33650	204	13	to	to	PART
bracis-33650	204	14	demonstrate	demonstrate	VERB
bracis-33650	204	15	the	the	DET
bracis-33650	204	16	interpretability	interpretability	NOUN
bracis-33650	204	17	of	of	ADP
bracis-33650	204	18	our	our	PRON
bracis-33650	204	19	method	method	NOUN
bracis-33650	204	20	.	.	PUNCT
bracis-33650	205	1	in	in	ADP
bracis-33650	205	2	this	this	DET
bracis-33650	205	3	sense	sense	NOUN
bracis-33650	205	4	,	,	PUNCT
bracis-33650	205	5	fig	fig	NOUN
bracis-33650	205	6	.	.	PUNCT
bracis-33650	205	7	 	 	SPACE
bracis-33650	206	1	7	7	NUM
bracis-33650	206	2	presents	present	VERB
bracis-33650	206	3	the	the	DET
bracis-33650	206	4	opencast	opencast	NOUN
bracis-33650	206	5	representations	representation	NOUN
bracis-33650	206	6	in	in	ADP
bracis-33650	206	7	the	the	DET
bracis-33650	206	8	experimental	experimental	ADJ
bracis-33650	206	9	evaluation	evaluation	NOUN
bracis-33650	206	10	of	of	ADP
bracis-33650	206	11	the	the	DET
bracis-33650	206	12	twitter	twitter	NOUN
bracis-33650	206	13	dataset	dataset	VERB
bracis-33650	206	14	.	.	PUNCT
bracis-33650	207	1	our	our	PRON
bracis-33650	207	2	interpretability	interpretability	NOUN
bracis-33650	207	3	focuses	focus	VERB
bracis-33650	207	4	on	on	ADP
bracis-33650	207	5	the	the	DET
bracis-33650	207	6	learning	learning	NOUN
bracis-33650	207	7	process	process	NOUN
bracis-33650	207	8	.	.	PUNCT
bracis-33650	208	1	thus	thus	ADV
bracis-33650	208	2	,	,	PUNCT
bracis-33650	208	3	we	we	PRON
bracis-33650	208	4	present	present	VERB
bracis-33650	208	5	opencast	opencast	NOUN
bracis-33650	208	6	’s	’s	PART
bracis-33650	208	7	learning	learning	NOUN
bracis-33650	208	8	process	process	NOUN
bracis-33650	208	9	.	.	PUNCT
bracis-33650	209	1	in	in	ADP
bracis-33650	209	2	the	the	DET
bracis-33650	209	3	real	real	ADJ
bracis-33650	209	4	world	world	NOUN
bracis-33650	209	5	,	,	PUNCT
bracis-33650	209	6	we	we	PRON
bracis-33650	209	7	can	can	AUX
bracis-33650	209	8	show	show	VERB
bracis-33650	209	9	the	the	DET
bracis-33650	209	10	video	video	NOUN
bracis-33650	209	11	of	of	ADP
bracis-33650	209	12	the	the	DET
bracis-33650	209	13	learning	learning	NOUN
bracis-33650	209	14	process	process	NOUN
bracis-33650	209	15	since	since	SCONJ
bracis-33650	209	16	we	we	PRON
bracis-33650	209	17	can	can	AUX
bracis-33650	209	18	plot	plot	VERB
bracis-33650	209	19	all	all	PRON
bracis-33650	209	20	learning	learn	VERB
bracis-33650	209	21	epochs	epoch	NOUN
bracis-33650	209	22	without	without	ADP
bracis-33650	209	23	processing	process	VERB
bracis-33650	209	24	the	the	DET
bracis-33650	209	25	representation	representation	NOUN
bracis-33650	209	26	(	(	PUNCT
bracis-33650	209	27	our	our	PRON
bracis-33650	209	28	learned	learn	VERB
bracis-33650	209	29	representations	representation	NOUN
bracis-33650	209	30	have	have	VERB
bracis-33650	209	31	two	two	NUM
bracis-33650	209	32	dimensions	dimension	NOUN
bracis-33650	209	33	)	)	PUNCT
bracis-33650	209	34	.	.	PUNCT
bracis-33650	210	1	the	the	DET
bracis-33650	210	2	epochs	epoch	NOUN
bracis-33650	210	3	are	be	AUX
bracis-33650	210	4	700	700	NUM
bracis-33650	210	5	,	,	PUNCT
bracis-33650	210	6	725	725	NUM
bracis-33650	210	7	,	,	PUNCT
bracis-33650	210	8	750	750	NUM
bracis-33650	210	9	,	,	PUNCT
bracis-33650	210	10	775	775	NUM
bracis-33650	210	11	,	,	PUNCT
bracis-33650	210	12	800	800	NUM
bracis-33650	210	13	,	,	PUNCT
bracis-33650	210	14	900	900	NUM
bracis-33650	210	15	.	.	NOUN
bracis-33650	210	16	1000	1000	NUM
bracis-33650	210	17	,	,	PUNCT
bracis-33650	210	18	and	and	CCONJ
bracis-33650	210	19	2000	2000	NUM
bracis-33650	210	20	.	.	PUNCT
bracis-33650	211	1	yellow	yellow	ADJ
bracis-33650	211	2	points	point	NOUN
bracis-33650	211	3	represent	represent	VERB
bracis-33650	211	4	the	the	DET
bracis-33650	211	5	interest	interest	NOUN
bracis-33650	211	6	class	class	NOUN
bracis-33650	211	7	,	,	PUNCT
bracis-33650	211	8	and	and	CCONJ
bracis-33650	211	9	blue	blue	ADJ
bracis-33650	211	10	points	point	NOUN
bracis-33650	211	11	represent	represent	VERB
bracis-33650	211	12	the	the	DET
bracis-33650	211	13	non	non	ADJ
bracis-33650	211	14	-	-	ADJ
bracis-33650	211	15	interest	interest	ADJ
bracis-33650	211	16	class	class	NOUN
bracis-33650	211	17	.	.	PUNCT
bracis-33650	212	1	fig	fig	NOUN
bracis-33650	212	2	.	.	PUNCT
bracis-33650	213	1	7	7	X
bracis-33650	213	2	.	.	X
bracis-33650	213	3	graph	graph	NOUN
bracis-33650	213	4	plot	plot	NOUN
bracis-33650	213	5	considering	consider	VERB
bracis-33650	213	6	the	the	DET
bracis-33650	213	7	two	two	NUM
bracis-33650	213	8	-	-	PUNCT
bracis-33650	213	9	dimensional	dimensional	ADJ
bracis-33650	213	10	last	last	ADJ
bracis-33650	213	11	layer	layer	NOUN
bracis-33650	213	12	learned	learn	VERB
bracis-33650	213	13	representations	representation	NOUN
bracis-33650	213	14	of	of	ADP
bracis-33650	213	15	opencast	opencast	NOUN
bracis-33650	213	16	in	in	ADP
bracis-33650	213	17	the	the	DET
bracis-33650	213	18	twitter	twitter	NOUN
bracis-33650	213	19	dataset	dataset	VERB
bracis-33650	213	20	at	at	ADP
bracis-33650	213	21	one	one	NUM
bracis-33650	213	22	iteration	iteration	NOUN
bracis-33650	213	23	.	.	PUNCT
bracis-33650	214	1	the	the	DET
bracis-33650	214	2	colors	color	NOUN
bracis-33650	214	3	indicate	indicate	VERB
bracis-33650	214	4	the	the	DET
bracis-33650	214	5	interest	interest	NOUN
bracis-33650	214	6	(	(	PUNCT
bracis-33650	214	7	yellow	yellow	ADJ
bracis-33650	214	8	)	)	PUNCT
bracis-33650	214	9	and	and	CCONJ
bracis-33650	214	10	the	the	DET
bracis-33650	214	11	non	non	ADJ
bracis-33650	214	12	-	-	NOUN
bracis-33650	214	13	interest	interest	ADJ
bracis-33650	214	14	(	(	PUNCT
bracis-33650	214	15	blue	blue	ADJ
bracis-33650	214	16	)	)	PUNCT
bracis-33650	214	17	classes	class	NOUN
bracis-33650	214	18	.	.	PUNCT
bracis-33650	215	1	(	(	PUNCT
bracis-33650	215	2	color	color	NOUN
bracis-33650	215	3	figure	figure	NOUN
bracis-33650	215	4	online	online	ADV
bracis-33650	215	5	)	)	PUNCT
bracis-33650	215	6	full	full	ADJ
bracis-33650	215	7	size	size	NOUN
bracis-33650	215	8	image	image	NOUN
bracis-33650	215	9	we	we	PRON
bracis-33650	215	10	observe	observe	VERB
bracis-33650	215	11	the	the	DET
bracis-33650	215	12	learning	learning	NOUN
bracis-33650	215	13	process	process	NOUN
bracis-33650	215	14	proposal	proposal	NOUN
bracis-33650	215	15	through	through	ADP
bracis-33650	215	16	opencast	opencast	ADJ
bracis-33650	215	17	interpretability	interpretability	NOUN
bracis-33650	215	18	,	,	PUNCT
bracis-33650	215	19	as	as	SCONJ
bracis-33650	215	20	shown	show	VERB
bracis-33650	215	21	in	in	ADP
bracis-33650	215	22	fig	fig	NOUN
bracis-33650	215	23	.	.	PUNCT
bracis-33650	215	24	 	 	SPACE
bracis-33650	216	1	7	7	NUM
bracis-33650	216	2	.	.	PUNCT
bracis-33650	217	1	in	in	ADP
bracis-33650	217	2	the	the	DET
bracis-33650	217	3	initial	initial	ADJ
bracis-33650	217	4	steps	step	NOUN
bracis-33650	217	5	,	,	PUNCT
bracis-33650	217	6	we	we	PRON
bracis-33650	217	7	observe	observe	VERB
bracis-33650	217	8	opencast	opencast	NOUN
bracis-33650	217	9	focusing	focus	VERB
bracis-33650	217	10	on	on	ADP
bracis-33650	217	11	graph	graph	NOUN
bracis-33650	217	12	reconstruction	reconstruction	NOUN
bracis-33650	217	13	(	(	PUNCT
bracis-33650	217	14	loss	loss	NOUN
bracis-33650	217	15	\(\mathcal	\(\mathcal	ADJ
bracis-33650	217	16	{	{	PUNCT
bracis-33650	217	17	l}_2\	l}_2\	NUM
bracis-33650	217	18	)	)	PUNCT
bracis-33650	217	19	)	)	PUNCT
bracis-33650	217	20	,	,	PUNCT
bracis-33650	217	21	the	the	DET
bracis-33650	217	22	first	first	ADJ
bracis-33650	217	23	opencast	opencast	ADJ
bracis-33650	217	24	goal	goal	NOUN
bracis-33650	217	25	.	.	PUNCT
bracis-33650	218	1	in	in	ADP
bracis-33650	218	2	the	the	DET
bracis-33650	218	3	next	next	ADJ
bracis-33650	218	4	steps	step	NOUN
bracis-33650	218	5	,	,	PUNCT
bracis-33650	218	6	we	we	PRON
bracis-33650	218	7	observe	observe	VERB
bracis-33650	218	8	learning	learn	VERB
bracis-33650	218	9	through	through	ADP
bracis-33650	218	10	the	the	DET
bracis-33650	218	11	two	two	NUM
bracis-33650	218	12	losses	loss	NOUN
bracis-33650	218	13	since	since	SCONJ
bracis-33650	218	14	the	the	DET
bracis-33650	218	15	interest	interest	NOUN
bracis-33650	218	16	instances	instance	NOUN
bracis-33650	218	17	get	get	VERB
bracis-33650	218	18	closer	close	ADJ
bracis-33650	218	19	to	to	ADP
bracis-33650	218	20	the	the	DET
bracis-33650	218	21	sphere	sphere	NOUN
bracis-33650	218	22	while	while	SCONJ
bracis-33650	218	23	non	non	ADJ
bracis-33650	218	24	-	-	ADJ
bracis-33650	218	25	interest	interest	ADJ
bracis-33650	218	26	instances	instance	NOUN
bracis-33650	218	27	are	be	AUX
bracis-33650	218	28	outside	outside	ADP
bracis-33650	218	29	the	the	DET
bracis-33650	218	30	sphere	sphere	NOUN
bracis-33650	218	31	.	.	PUNCT
bracis-33650	219	1	in	in	ADP
bracis-33650	219	2	the	the	DET
bracis-33650	219	3	final	final	ADJ
bracis-33650	219	4	steps	step	NOUN
bracis-33650	219	5	,	,	PUNCT
bracis-33650	219	6	we	we	PRON
bracis-33650	219	7	observed	observe	VERB
bracis-33650	219	8	that	that	SCONJ
bracis-33650	219	9	the	the	DET
bracis-33650	219	10	one	one	NUM
bracis-33650	219	11	-	-	PUNCT
bracis-33650	219	12	class	class	NOUN
bracis-33650	219	13	loss	loss	NOUN
bracis-33650	219	14	\(\mathcal	\(\mathcal	ADJ
bracis-33650	219	15	{	{	PUNCT
bracis-33650	219	16	l}_1\	l}_1\	NOUN
bracis-33650	219	17	)	)	PUNCT
bracis-33650	219	18	encouraged	encourage	VERB
bracis-33650	219	19	the	the	DET
bracis-33650	219	20	instances	instance	NOUN
bracis-33650	219	21	to	to	PART
bracis-33650	219	22	continue	continue	VERB
bracis-33650	219	23	coming	come	VERB
bracis-33650	219	24	to	to	ADP
bracis-33650	219	25	the	the	DET
bracis-33650	219	26	sphere	sphere	NOUN
bracis-33650	219	27	center	center	NOUN
bracis-33650	219	28	,	,	PUNCT
bracis-33650	219	29	as	as	SCONJ
bracis-33650	219	30	proposed	propose	VERB
bracis-33650	219	31	to	to	PART
bracis-33650	219	32	improve	improve	VERB
bracis-33650	219	33	the	the	DET
bracis-33650	219	34	performance	performance	NOUN
bracis-33650	219	35	.	.	PUNCT
bracis-33650	220	1	5.4	5.4	NUM
bracis-33650	220	2	ablation	ablation	NOUN
bracis-33650	220	3	study	study	NOUN
bracis-33650	220	4	we	we	PRON
bracis-33650	220	5	propose	propose	VERB
bracis-33650	220	6	an	an	DET
bracis-33650	220	7	ablation	ablation	NOUN
bracis-33650	220	8	study	study	NOUN
bracis-33650	220	9	to	to	PART
bracis-33650	220	10	verify	verify	VERB
bracis-33650	220	11	the	the	DET
bracis-33650	220	12	impact	impact	NOUN
bracis-33650	220	13	of	of	ADP
bracis-33650	220	14	opencast	opencast	NOUN
bracis-33650	220	15	learning	learning	NOUN
bracis-33650	220	16	strategies	strategy	NOUN
bracis-33650	220	17	compared	compare	VERB
bracis-33650	220	18	to	to	ADP
bracis-33650	220	19	other	other	ADJ
bracis-33650	220	20	strategies	strategy	NOUN
bracis-33650	220	21	in	in	ADP
bracis-33650	220	22	the	the	DET
bracis-33650	220	23	ocl	ocl	PROPN
bracis-33650	220	24	literature	literature	PROPN
bracis-33650	220	25	for	for	ADP
bracis-33650	220	26	graphs	graph	NOUN
bracis-33650	220	27	[	[	X
bracis-33650	220	28	11	11	NUM
bracis-33650	220	29	,	,	PUNCT
bracis-33650	220	30	32	32	NUM
bracis-33650	220	31	]	]	PUNCT
bracis-33650	220	32	.	.	PUNCT
bracis-33650	221	1	we	we	PRON
bracis-33650	221	2	compared	compare	VERB
bracis-33650	221	3	,	,	PUNCT
bracis-33650	221	4	in	in	ADP
bracis-33650	221	5	the	the	DET
bracis-33650	221	6	best	good	ADJ
bracis-33650	221	7	opencast	opencast	NOUN
bracis-33650	221	8	performance	performance	NOUN
bracis-33650	221	9	scenario	scenario	NOUN
bracis-33650	221	10	,	,	PUNCT
bracis-33650	221	11	the	the	DET
bracis-33650	221	12	use	use	NOUN
bracis-33650	221	13	of	of	ADP
bracis-33650	221	14	a	a	DET
bracis-33650	221	15	graph	graph	NOUN
bracis-33650	221	16	convolutional	convolutional	ADJ
bracis-33650	221	17	network	network	NOUN
bracis-33650	221	18	(	(	PUNCT
bracis-33650	221	19	gcn	gcn	NOUN
bracis-33650	221	20	)	)	PUNCT
bracis-33650	221	21	instead	instead	ADV
bracis-33650	221	22	of	of	ADP
bracis-33650	221	23	faconv	faconv	NOUN
bracis-33650	221	24	and	and	CCONJ
bracis-33650	221	25	the	the	DET
bracis-33650	221	26	addition	addition	NOUN
bracis-33650	221	27	of	of	ADP
bracis-33650	221	28	\(\mathcal	\(\mathcal	ADJ
bracis-33650	221	29	{	{	PUNCT
bracis-33650	221	30	l}_1\	l}_1\	NOUN
bracis-33650	221	31	)	)	PUNCT
bracis-33650	221	32	and	and	CCONJ
bracis-33650	221	33	\(\mathcal	\(\mathcal	ADJ
bracis-33650	221	34	{	{	PUNCT
bracis-33650	221	35	l}_2\	l}_2\	NUM
bracis-33650	221	36	)	)	PUNCT
bracis-33650	221	37	instead	instead	ADV
bracis-33650	221	38	of	of	ADP
bracis-33650	221	39	using	use	VERB
bracis-33650	221	40	our	our	PRON
bracis-33650	221	41	parameter	parameter	NOUN
bracis-33650	221	42	\(\beta	\(\beta	PRON
bracis-33650	221	43	\	\	PROPN
bracis-33650	221	44	)	)	PUNCT
bracis-33650	221	45	.	.	PUNCT
bracis-33650	222	1	table	table	NOUN
bracis-33650	222	2	 	 	SPACE
bracis-33650	222	3	3	3	NUM
bracis-33650	222	4	presents	present	VERB
bracis-33650	222	5	the	the	DET
bracis-33650	222	6	average	average	ADJ
bracis-33650	222	7	macro	macro	NOUN
bracis-33650	222	8	\(f_1\	\(f_1\	PROPN
bracis-33650	222	9	)	)	PUNCT
bracis-33650	222	10	in	in	ADP
bracis-33650	222	11	the	the	DET
bracis-33650	222	12	four	four	NUM
bracis-33650	222	13	datasets	dataset	NOUN
bracis-33650	222	14	for	for	ADP
bracis-33650	222	15	each	each	DET
bracis-33650	222	16	modification	modification	NOUN
bracis-33650	222	17	on	on	ADP
bracis-33650	222	18	opencast	opencast	NOUN
bracis-33650	222	19	,	,	PUNCT
bracis-33650	222	20	i.e.	i.e.	X
bracis-33650	222	21	,	,	PUNCT
bracis-33650	222	22	the	the	DET
bracis-33650	222	23	opencast	opencast	NOUN
bracis-33650	222	24	with	with	ADP
bracis-33650	222	25	:	:	PUNCT
bracis-33650	222	26	(	(	PUNCT
bracis-33650	222	27	i	i	NOUN
bracis-33650	222	28	)	)	PUNCT
bracis-33650	222	29	gcn	gcn	NOUN
bracis-33650	222	30	and	and	CCONJ
bracis-33650	222	31	adding	add	VERB
bracis-33650	222	32	\(\mathcal	\(\mathcal	ADJ
bracis-33650	222	33	{	{	PUNCT
bracis-33650	222	34	l}_1\	l}_1\	NOUN
bracis-33650	222	35	)	)	PUNCT
bracis-33650	222	36	and	and	CCONJ
bracis-33650	222	37	\(\mathcal	\(\mathcal	ADJ
bracis-33650	222	38	{	{	PUNCT
bracis-33650	222	39	l}_2\	l}_2\	NUM
bracis-33650	222	40	)	)	PUNCT
bracis-33650	222	41	;	;	PUNCT
bracis-33650	222	42	(	(	PUNCT
bracis-33650	222	43	ii	ii	NOUN
bracis-33650	222	44	)	)	PUNCT
bracis-33650	222	45	gcn	gcn	NOUN
bracis-33650	222	46	and	and	CCONJ
bracis-33650	222	47	our	our	PRON
bracis-33650	222	48	final	final	ADJ
bracis-33650	222	49	loss	loss	NOUN
bracis-33650	222	50	(	(	PUNCT
bracis-33650	222	51	with	with	ADP
bracis-33650	222	52	\(\beta	\(\beta	NOUN
bracis-33650	222	53	\	\	NOUN
bracis-33650	222	54	)	)	PUNCT
bracis-33650	222	55	)	)	PUNCT
bracis-33650	222	56	;	;	PUNCT
bracis-33650	222	57	(	(	PUNCT
bracis-33650	222	58	iii	iii	X
bracis-33650	222	59	)	)	PUNCT
bracis-33650	222	60	faconv	faconv	NOUN
bracis-33650	222	61	and	and	CCONJ
bracis-33650	222	62	adding	add	VERB
bracis-33650	222	63	\(\mathcal	\(\mathcal	ADJ
bracis-33650	222	64	{	{	PUNCT
bracis-33650	222	65	l}_1\	l}_1\	NOUN
bracis-33650	222	66	)	)	PUNCT
bracis-33650	222	67	and	and	CCONJ
bracis-33650	222	68	\(\mathcal	\(\mathcal	ADJ
bracis-33650	222	69	{	{	PUNCT
bracis-33650	222	70	l}_2\	l}_2\	NUM
bracis-33650	222	71	)	)	PUNCT
bracis-33650	222	72	;	;	PUNCT
bracis-33650	222	73	and	and	CCONJ
bracis-33650	222	74	(	(	PUNCT
bracis-33650	222	75	iv	iv	X
bracis-33650	222	76	)	)	PUNCT
bracis-33650	222	77	faconv	faconv	NOUN
bracis-33650	222	78	and	and	CCONJ
bracis-33650	222	79	our	our	PRON
bracis-33650	222	80	final	final	ADJ
bracis-33650	222	81	loss	loss	NOUN
bracis-33650	222	82	(	(	PUNCT
bracis-33650	222	83	with	with	ADP
bracis-33650	222	84	\(\beta	\(\beta	NOUN
bracis-33650	222	85	\	\	NOUN
bracis-33650	222	86	)	)	PUNCT
bracis-33650	222	87	)	)	PUNCT
bracis-33650	222	88	.	.	PUNCT
bracis-33650	223	1	table	table	NOUN
bracis-33650	223	2	3	3	NUM
bracis-33650	223	3	.	.	PUNCT
bracis-33650	223	4	ablation	ablation	NOUN
bracis-33650	223	5	study	study	NOUN
bracis-33650	223	6	comparing	compare	VERB
bracis-33650	223	7	the	the	DET
bracis-33650	223	8	losses	loss	NOUN
bracis-33650	223	9	and	and	CCONJ
bracis-33650	223	10	layers	layer	NOUN
bracis-33650	223	11	for	for	ADP
bracis-33650	223	12	opencast.full	opencast.full	NUM
bracis-33650	223	13	size	size	NOUN
bracis-33650	223	14	table	table	NOUN
bracis-33650	223	15	faconv	faconv	NOUN
bracis-33650	223	16	improves	improve	VERB
bracis-33650	223	17	learning	learn	VERB
bracis-33650	223	18	in	in	ADP
bracis-33650	223	19	relation	relation	NOUN
bracis-33650	223	20	to	to	PART
bracis-33650	223	21	gcnconv	gcnconv	VERB
bracis-33650	223	22	as	as	ADV
bracis-33650	223	23	motivated	motivated	ADJ
bracis-33650	223	24	in	in	ADP
bracis-33650	223	25	the	the	DET
bracis-33650	223	26	opencast	opencast	NOUN
bracis-33650	223	27	section	section	NOUN
bracis-33650	223	28	due	due	ADP
bracis-33650	223	29	to	to	ADP
bracis-33650	223	30	concept	concept	NOUN
bracis-33650	223	31	drift	drift	NOUN
bracis-33650	223	32	.	.	PUNCT
bracis-33650	224	1	using	use	VERB
bracis-33650	224	2	the	the	DET
bracis-33650	224	3	\(\beta	\(\beta	PROPN
bracis-33650	224	4	\	\	NOUN
bracis-33650	224	5	)	)	PUNCT
bracis-33650	224	6	parameter	parameter	NOUN
bracis-33650	224	7	in	in	ADP
bracis-33650	224	8	real	real	ADJ
bracis-33650	224	9	datasets	dataset	NOUN
bracis-33650	224	10	improves	improve	VERB
bracis-33650	224	11	the	the	DET
bracis-33650	224	12	classification	classification	NOUN
bracis-33650	224	13	performance	performance	NOUN
bracis-33650	224	14	.	.	PUNCT
bracis-33650	225	1	on	on	ADP
bracis-33650	225	2	the	the	DET
bracis-33650	225	3	other	other	ADJ
bracis-33650	225	4	hand	hand	NOUN
bracis-33650	225	5	,	,	PUNCT
bracis-33650	225	6	in	in	ADP
bracis-33650	225	7	the	the	DET
bracis-33650	225	8	synthetic	synthetic	ADJ
bracis-33650	225	9	datasets	dataset	NOUN
bracis-33650	225	10	,	,	PUNCT
bracis-33650	225	11	the	the	DET
bracis-33650	225	12	performance	performance	NOUN
bracis-33650	225	13	was	be	AUX
bracis-33650	225	14	equal	equal	ADJ
bracis-33650	225	15	,	,	PUNCT
bracis-33650	225	16	considering	consider	VERB
bracis-33650	225	17	both	both	CCONJ
bracis-33650	225	18	the	the	DET
bracis-33650	225	19	sum	sum	NOUN
bracis-33650	225	20	of	of	ADP
bracis-33650	225	21	the	the	DET
bracis-33650	225	22	loss	loss	NOUN
bracis-33650	225	23	functions	function	NOUN
bracis-33650	225	24	and	and	CCONJ
bracis-33650	225	25	using	use	VERB
bracis-33650	225	26	the	the	DET
bracis-33650	225	27	\(\beta	\(\beta	PROPN
bracis-33650	225	28	\	\	NOUN
bracis-33650	225	29	)	)	PUNCT
bracis-33650	225	30	parameter	parameter	NOUN
bracis-33650	225	31	to	to	PART
bracis-33650	225	32	weigh	weigh	VERB
bracis-33650	225	33	the	the	DET
bracis-33650	225	34	losses	loss	NOUN
bracis-33650	225	35	.	.	PUNCT
bracis-33650	226	1	we	we	PRON
bracis-33650	226	2	analyzed	analyze	VERB
bracis-33650	226	3	the	the	DET
bracis-33650	226	4	best	good	ADJ
bracis-33650	226	5	opencast	opencast	ADJ
bracis-33650	226	6	parameters	parameter	NOUN
bracis-33650	226	7	in	in	ADP
bracis-33650	226	8	each	each	DET
bracis-33650	226	9	dataset	dataset	NOUN
bracis-33650	226	10	to	to	PART
bracis-33650	226	11	find	find	VERB
bracis-33650	226	12	meaning	meaning	NOUN
bracis-33650	226	13	in	in	ADP
bracis-33650	226	14	this	this	DET
bracis-33650	226	15	ablation	ablation	NOUN
bracis-33650	226	16	study	study	NOUN
bracis-33650	226	17	.	.	PUNCT
bracis-33650	227	1	in	in	ADP
bracis-33650	227	2	the	the	DET
bracis-33650	227	3	real	real	ADJ
bracis-33650	227	4	datasets	dataset	NOUN
bracis-33650	227	5	,	,	PUNCT
bracis-33650	227	6	the	the	DET
bracis-33650	227	7	best	good	ADJ
bracis-33650	227	8	\(\beta	\(\beta	ADJ
bracis-33650	227	9	\	\	NOUN
bracis-33650	227	10	)	)	PUNCT
bracis-33650	227	11	values	value	NOUN
bracis-33650	227	12	were	be	AUX
bracis-33650	227	13	0.6	0.6	NUM
bracis-33650	227	14	(	(	PUNCT
bracis-33650	227	15	electricity	electricity	NOUN
bracis-33650	227	16	)	)	PUNCT
bracis-33650	227	17	and	and	CCONJ
bracis-33650	227	18	0.4	0.4	NUM
bracis-33650	227	19	(	(	PUNCT
bracis-33650	227	20	electricity	electricity	NOUN
bracis-33650	227	21	)	)	PUNCT
bracis-33650	227	22	,	,	PUNCT
bracis-33650	227	23	i.e.	i.e.	X
bracis-33650	227	24	,	,	PUNCT
bracis-33650	227	25	there	there	PRON
bracis-33650	227	26	was	be	VERB
bracis-33650	227	27	greater	great	ADJ
bracis-33650	227	28	importance	importance	NOUN
bracis-33650	227	29	for	for	ADP
bracis-33650	227	30	each	each	DET
bracis-33650	227	31	loss	loss	NOUN
bracis-33650	227	32	function	function	NOUN
bracis-33650	227	33	during	during	ADP
bracis-33650	227	34	learning	learn	VERB
bracis-33650	227	35	.	.	PUNCT
bracis-33650	228	1	for	for	ADP
bracis-33650	228	2	the	the	DET
bracis-33650	228	3	synthetic	synthetic	ADJ
bracis-33650	228	4	datasets	dataset	NOUN
bracis-33650	228	5	,	,	PUNCT
bracis-33650	228	6	the	the	DET
bracis-33650	228	7	\(\beta	\(\beta	PROPN
bracis-33650	228	8	\	\	PROPN
bracis-33650	228	9	)	)	PUNCT
bracis-33650	228	10	value	value	NOUN
bracis-33650	228	11	that	that	PRON
bracis-33650	228	12	resulted	result	VERB
bracis-33650	228	13	in	in	ADP
bracis-33650	228	14	the	the	DET
bracis-33650	228	15	best	good	ADJ
bracis-33650	228	16	learning	learning	NOUN
bracis-33650	228	17	was	be	AUX
bracis-33650	228	18	0.5	0.5	NUM
bracis-33650	228	19	,	,	PUNCT
bracis-33650	228	20	i.e.	i.e.	X
bracis-33650	228	21	,	,	PUNCT
bracis-33650	228	22	the	the	DET
bracis-33650	228	23	same	same	ADJ
bracis-33650	228	24	importance	importance	NOUN
bracis-33650	228	25	for	for	ADP
bracis-33650	228	26	the	the	DET
bracis-33650	228	27	two	two	NUM
bracis-33650	228	28	loss	loss	NOUN
bracis-33650	228	29	functions	function	NOUN
bracis-33650	228	30	as	as	ADP
bracis-33650	228	31	in	in	ADP
bracis-33650	228	32	the	the	DET
bracis-33650	228	33	sum	sum	NOUN
bracis-33650	228	34	strategy	strategy	NOUN
bracis-33650	228	35	.	.	PUNCT
bracis-33650	229	1	this	this	PRON
bracis-33650	229	2	shows	show	VERB
bracis-33650	229	3	us	we	PRON
bracis-33650	229	4	why	why	SCONJ
bracis-33650	229	5	the	the	DET
bracis-33650	229	6	\(\beta	\(\beta	PROPN
bracis-33650	229	7	\	\	PROPN
bracis-33650	229	8	)	)	PUNCT
bracis-33650	229	9	parameter	parameter	NOUN
bracis-33650	229	10	has	have	VERB
bracis-33650	229	11	less	less	ADJ
bracis-33650	229	12	impact	impact	NOUN
bracis-33650	229	13	on	on	ADP
bracis-33650	229	14	synthetic	synthetic	ADJ
bracis-33650	229	15	datasets	dataset	NOUN
bracis-33650	229	16	.	.	PUNCT
bracis-33650	230	1	still	still	ADV
bracis-33650	230	2	,	,	PUNCT
bracis-33650	230	3	it	it	PRON
bracis-33650	230	4	is	be	AUX
bracis-33650	230	5	a	a	DET
bracis-33650	230	6	good	good	ADJ
bracis-33650	230	7	strategy	strategy	NOUN
bracis-33650	230	8	since	since	SCONJ
bracis-33650	230	9	it	it	PRON
bracis-33650	230	10	wins	win	VERB
bracis-33650	230	11	in	in	ADP
bracis-33650	230	12	real	real	ADJ
bracis-33650	230	13	datasets	dataset	NOUN
bracis-33650	230	14	and	and	CCONJ
bracis-33650	230	15	does	do	AUX
bracis-33650	230	16	not	not	PART
bracis-33650	230	17	lose	lose	VERB
bracis-33650	230	18	in	in	ADP
bracis-33650	230	19	the	the	DET
bracis-33650	230	20	synthetics	synthetic	NOUN
bracis-33650	230	21	.	.	PUNCT
bracis-33650	231	1	we	we	PRON
bracis-33650	231	2	complement	complement	VERB
bracis-33650	231	3	our	our	PRON
bracis-33650	231	4	ablation	ablation	NOUN
bracis-33650	231	5	study	study	NOUN
bracis-33650	231	6	by	by	ADP
bracis-33650	231	7	presenting	present	VERB
bracis-33650	231	8	the	the	DET
bracis-33650	231	9	interpretability	interpretability	NOUN
bracis-33650	231	10	results	result	NOUN
bracis-33650	231	11	for	for	ADP
bracis-33650	231	12	each	each	DET
bracis-33650	231	13	learning	learn	VERB
bracis-33650	231	14	strategy	strategy	NOUN
bracis-33650	231	15	described	describe	VERB
bracis-33650	231	16	in	in	ADP
bracis-33650	231	17	the	the	DET
bracis-33650	231	18	paragraph	paragraph	NOUN
bracis-33650	231	19	above	above	ADV
bracis-33650	231	20	.	.	PUNCT
bracis-33650	232	1	figure	figure	NOUN
bracis-33650	232	2	 	 	SPACE
bracis-33650	232	3	8	8	NUM
bracis-33650	232	4	presents	present	VERB
bracis-33650	232	5	the	the	DET
bracis-33650	232	6	graph	graph	NOUN
bracis-33650	232	7	and	and	CCONJ
bracis-33650	232	8	its	its	PRON
bracis-33650	232	9	connections	connection	NOUN
bracis-33650	232	10	considering	consider	VERB
bracis-33650	232	11	the	the	DET
bracis-33650	232	12	final	final	ADJ
bracis-33650	232	13	representation	representation	NOUN
bracis-33650	232	14	learned	learn	VERB
bracis-33650	232	15	by	by	ADP
bracis-33650	232	16	each	each	DET
bracis-33650	232	17	model	model	NOUN
bracis-33650	232	18	in	in	ADP
bracis-33650	232	19	the	the	DET
bracis-33650	232	20	twitter	twitter	NOUN
bracis-33650	232	21	dataset	dataset	VERB
bracis-33650	232	22	as	as	ADP
bracis-33650	232	23	coordinates	coordinate	NOUN
bracis-33650	232	24	.	.	PUNCT
bracis-33650	233	1	in	in	ADP
bracis-33650	233	2	addition	addition	NOUN
bracis-33650	233	3	to	to	ADP
bracis-33650	233	4	higher	high	ADJ
bracis-33650	233	5	\(f_1\	\(f_1\	PROPN
bracis-33650	233	6	)	)	PUNCT
bracis-33650	233	7	,	,	PUNCT
bracis-33650	233	8	faconv	faconv	NOUN
bracis-33650	233	9	generated	generate	VERB
bracis-33650	233	10	better	well	ADJ
bracis-33650	233	11	representations	representation	NOUN
bracis-33650	233	12	for	for	ADP
bracis-33650	233	13	the	the	DET
bracis-33650	233	14	hypersphere	hypersphere	NOUN
bracis-33650	233	15	-	-	PUNCT
bracis-33650	233	16	based	base	VERB
bracis-33650	233	17	decision	decision	NOUN
bracis-33650	233	18	strategy	strategy	NOUN
bracis-33650	233	19	.	.	PUNCT
bracis-33650	234	1	opencast	opencast	NOUN
bracis-33650	234	2	with	with	ADP
bracis-33650	234	3	faconv	faconv	NOUN
bracis-33650	234	4	learned	learn	VERB
bracis-33650	234	5	representations	representation	NOUN
bracis-33650	234	6	for	for	ADP
bracis-33650	234	7	instances	instance	NOUN
bracis-33650	234	8	of	of	ADP
bracis-33650	234	9	interest	interest	NOUN
bracis-33650	234	10	closer	close	ADV
bracis-33650	234	11	to	to	ADP
bracis-33650	234	12	the	the	DET
bracis-33650	234	13	center	center	NOUN
bracis-33650	234	14	and	and	CCONJ
bracis-33650	234	15	within	within	ADP
bracis-33650	234	16	the	the	DET
bracis-33650	234	17	hypersphere	hypersphere	NOUN
bracis-33650	234	18	than	than	ADP
bracis-33650	234	19	gcn	gcn	PROPN
bracis-33650	234	20	.	.	PUNCT
bracis-33650	235	1	fig	fig	NOUN
bracis-33650	235	2	.	.	PUNCT
bracis-33650	236	1	8	8	X
bracis-33650	236	2	.	.	X
bracis-33650	236	3	graph	graph	NOUN
bracis-33650	236	4	plot	plot	NOUN
bracis-33650	236	5	considering	consider	VERB
bracis-33650	236	6	the	the	DET
bracis-33650	236	7	two	two	NUM
bracis-33650	236	8	-	-	PUNCT
bracis-33650	236	9	dimensional	dimensional	ADJ
bracis-33650	236	10	last	last	ADJ
bracis-33650	236	11	layer	layer	NOUN
bracis-33650	236	12	learned	learn	VERB
bracis-33650	236	13	representations	representation	NOUN
bracis-33650	236	14	of	of	ADP
bracis-33650	236	15	opencast	opencast	NOUN
bracis-33650	236	16	in	in	ADP
bracis-33650	236	17	the	the	DET
bracis-33650	236	18	ablation	ablation	NOUN
bracis-33650	236	19	study	study	NOUN
bracis-33650	236	20	considering	consider	VERB
bracis-33650	236	21	the	the	DET
bracis-33650	236	22	twitter	twitter	NOUN
bracis-33650	236	23	dataset	dataset	VERB
bracis-33650	236	24	.	.	PUNCT
bracis-33650	237	1	the	the	DET
bracis-33650	237	2	colors	color	NOUN
bracis-33650	237	3	indicate	indicate	VERB
bracis-33650	237	4	the	the	DET
bracis-33650	237	5	interest	interest	NOUN
bracis-33650	237	6	(	(	PUNCT
bracis-33650	237	7	yellow	yellow	ADJ
bracis-33650	237	8	)	)	PUNCT
bracis-33650	237	9	and	and	CCONJ
bracis-33650	237	10	the	the	DET
bracis-33650	237	11	non	non	ADJ
bracis-33650	237	12	-	-	NOUN
bracis-33650	237	13	interest	interest	ADJ
bracis-33650	237	14	(	(	PUNCT
bracis-33650	237	15	blue	blue	ADJ
bracis-33650	237	16	)	)	PUNCT
bracis-33650	237	17	classes	class	NOUN
bracis-33650	237	18	.	.	PUNCT
bracis-33650	238	1	(	(	PUNCT
bracis-33650	238	2	color	color	NOUN
bracis-33650	238	3	figure	figure	NOUN
bracis-33650	238	4	online	online	ADV
bracis-33650	238	5	)	)	PUNCT
bracis-33650	238	6	full	full	ADJ
bracis-33650	238	7	size	size	NOUN
bracis-33650	238	8	image	image	NOUN
bracis-33650	238	9	6	6	NUM
bracis-33650	238	10	conclusions	conclusion	NOUN
bracis-33650	238	11	and	and	CCONJ
bracis-33650	238	12	 	 	SPACE
bracis-33650	238	13	future	future	ADJ
bracis-33650	238	14	work	work	NOUN
bracis-33650	238	15	in	in	ADP
bracis-33650	238	16	this	this	DET
bracis-33650	238	17	work	work	NOUN
bracis-33650	238	18	,	,	PUNCT
bracis-33650	238	19	we	we	PRON
bracis-33650	238	20	propose	propose	VERB
bracis-33650	238	21	opencast	opencast	NOUN
bracis-33650	238	22	,	,	PUNCT
bracis-33650	238	23	a	a	DET
bracis-33650	238	24	gnn	gnn	NOUN
bracis-33650	238	25	based	base	VERB
bracis-33650	238	26	on	on	ADP
bracis-33650	238	27	ocl	ocl	PROPN
bracis-33650	238	28	for	for	ADP
bracis-33650	238	29	stream	stream	NOUN
bracis-33650	238	30	data	datum	NOUN
bracis-33650	238	31	.	.	PUNCT
bracis-33650	239	1	opencast	opencast	NOUN
bracis-33650	239	2	is	be	AUX
bracis-33650	239	3	based	base	VERB
bracis-33650	239	4	on	on	ADP
bracis-33650	239	5	faconv	faconv	NOUN
bracis-33650	239	6	due	due	ADP
bracis-33650	239	7	to	to	ADP
bracis-33650	239	8	the	the	DET
bracis-33650	239	9	concept	concept	NOUN
bracis-33650	239	10	of	of	ADP
bracis-33650	239	11	drift	drift	NOUN
bracis-33650	239	12	since	since	SCONJ
bracis-33650	239	13	this	this	DET
bracis-33650	239	14	layer	layer	NOUN
bracis-33650	239	15	gives	give	VERB
bracis-33650	239	16	importance	importance	NOUN
bracis-33650	239	17	to	to	ADP
bracis-33650	239	18	edges	edge	NOUN
bracis-33650	239	19	of	of	ADP
bracis-33650	239	20	nodes	node	NOUN
bracis-33650	239	21	from	from	ADP
bracis-33650	239	22	the	the	DET
bracis-33650	239	23	same	same	ADJ
bracis-33650	239	24	classes	class	NOUN
bracis-33650	239	25	and	and	CCONJ
bracis-33650	239	26	ignores	ignore	VERB
bracis-33650	239	27	relations	relation	NOUN
bracis-33650	239	28	between	between	ADP
bracis-33650	239	29	nodes	node	NOUN
bracis-33650	239	30	from	from	ADP
bracis-33650	239	31	other	other	ADJ
bracis-33650	239	32	classes	class	NOUN
bracis-33650	239	33	.	.	PUNCT
bracis-33650	240	1	our	our	PRON
bracis-33650	240	2	opencast	opencast	NOUN
bracis-33650	240	3	is	be	AUX
bracis-33650	240	4	also	also	ADV
bracis-33650	240	5	based	base	VERB
bracis-33650	240	6	on	on	ADP
bracis-33650	240	7	the	the	DET
bracis-33650	240	8	sota	sota	PROPN
bracis-33650	240	9	hypersphere	hypersphere	PROPN
bracis-33650	240	10	loss	loss	NOUN
bracis-33650	240	11	function	function	NOUN
bracis-33650	240	12	for	for	ADP
bracis-33650	240	13	ocl	ocl	PROPN
bracis-33650	240	14	and	and	CCONJ
bracis-33650	240	15	the	the	DET
bracis-33650	240	16	reconstruction	reconstruction	NOUN
bracis-33650	240	17	function	function	NOUN
bracis-33650	240	18	of	of	ADP
bracis-33650	240	19	gaes	gaes	PROPN
bracis-33650	240	20	.	.	PUNCT
bracis-33650	241	1	we	we	PRON
bracis-33650	241	2	introduce	introduce	VERB
bracis-33650	241	3	a	a	DET
bracis-33650	241	4	new	new	ADJ
bracis-33650	241	5	way	way	NOUN
bracis-33650	241	6	of	of	ADP
bracis-33650	241	7	combining	combine	VERB
bracis-33650	241	8	these	these	DET
bracis-33650	241	9	loss	loss	NOUN
bracis-33650	241	10	functions	function	NOUN
bracis-33650	241	11	through	through	ADP
bracis-33650	241	12	a	a	DET
bracis-33650	241	13	\(\beta	\(\beta	X
bracis-33650	241	14	\	\	NOUN
bracis-33650	241	15	)	)	PUNCT
bracis-33650	241	16	parameter	parameter	NOUN
bracis-33650	241	17	that	that	PRON
bracis-33650	241	18	gives	give	VERB
bracis-33650	241	19	weight	weight	NOUN
bracis-33650	241	20	to	to	ADP
bracis-33650	241	21	each	each	DET
bracis-33650	241	22	loss	loss	NOUN
bracis-33650	241	23	function	function	NOUN
bracis-33650	241	24	.	.	PUNCT
bracis-33650	242	1	opencast	opencast	NOUN
bracis-33650	242	2	learning	learning	NOUN
bracis-33650	242	3	allows	allow	VERB
bracis-33650	242	4	for	for	ADP
bracis-33650	242	5	exploring	explore	VERB
bracis-33650	242	6	low	low	ADJ
bracis-33650	242	7	-	-	PUNCT
bracis-33650	242	8	dimensional	dimensional	ADJ
bracis-33650	242	9	representations	representation	NOUN
bracis-33650	242	10	during	during	ADP
bracis-33650	242	11	classification	classification	NOUN
bracis-33650	242	12	,	,	PUNCT
bracis-33650	242	13	providing	provide	VERB
bracis-33650	242	14	interpretability	interpretability	NOUN
bracis-33650	242	15	and	and	CCONJ
bracis-33650	242	16	visualization	visualization	NOUN
bracis-33650	242	17	for	for	ADP
bracis-33650	242	18	the	the	DET
bracis-33650	242	19	ocl	ocl	PROPN
bracis-33650	242	20	task	task	NOUN
bracis-33650	242	21	on	on	ADP
bracis-33650	242	22	a	a	DET
bracis-33650	242	23	graph	graph	NOUN
bracis-33650	242	24	-	-	PUNCT
bracis-33650	242	25	structured	structure	VERB
bracis-33650	242	26	data	datum	NOUN
bracis-33650	242	27	stream	stream	NOUN
bracis-33650	242	28	.	.	PUNCT
bracis-33650	243	1	opencast	opencast	NOUN
bracis-33650	243	2	outperformed	outperform	VERB
bracis-33650	243	3	other	other	ADJ
bracis-33650	243	4	methods	method	NOUN
bracis-33650	243	5	,	,	PUNCT
bracis-33650	243	6	obtaining	obtain	VERB
bracis-33650	243	7	sota	sota	NOUN
bracis-33650	243	8	results	result	NOUN
bracis-33650	243	9	and	and	CCONJ
bracis-33650	243	10	generating	generate	VERB
bracis-33650	243	11	representations	representation	NOUN
bracis-33650	243	12	visually	visually	ADV
bracis-33650	243	13	suitable	suitable	ADJ
bracis-33650	243	14	for	for	ADP
bracis-33650	243	15	ocl	ocl	PROPN
bracis-33650	243	16	in	in	ADP
bracis-33650	243	17	each	each	DET
bracis-33650	243	18	epoch	epoch	NOUN
bracis-33650	243	19	,	,	PUNCT
bracis-33650	243	20	which	which	PRON
bracis-33650	243	21	brought	bring	VERB
bracis-33650	243	22	interpretability	interpretability	NOUN
bracis-33650	243	23	to	to	ADP
bracis-33650	243	24	the	the	DET
bracis-33650	243	25	data	datum	NOUN
bracis-33650	243	26	stream	stream	NOUN
bracis-33650	243	27	scenario	scenario	NOUN
bracis-33650	243	28	through	through	ADP
bracis-33650	243	29	ocl	ocl	PROPN
bracis-33650	243	30	.	.	PUNCT
bracis-33650	244	1	the	the	DET
bracis-33650	244	2	main	main	ADJ
bracis-33650	244	3	limitation	limitation	NOUN
bracis-33650	244	4	of	of	ADP
bracis-33650	244	5	opencast	opencast	NOUN
bracis-33650	244	6	is	be	AUX
bracis-33650	244	7	that	that	SCONJ
bracis-33650	244	8	it	it	PRON
bracis-33650	244	9	does	do	AUX
bracis-33650	244	10	not	not	PART
bracis-33650	244	11	take	take	VERB
bracis-33650	244	12	advantage	advantage	NOUN
bracis-33650	244	13	of	of	ADP
bracis-33650	244	14	the	the	DET
bracis-33650	244	15	neuron	neuron	NOUN
bracis-33650	244	16	’s	’s	PART
bracis-33650	244	17	weights	weight	NOUN
bracis-33650	244	18	from	from	ADP
bracis-33650	244	19	the	the	DET
bracis-33650	244	20	previous	previous	ADJ
bracis-33650	244	21	iteration	iteration	NOUN
bracis-33650	244	22	in	in	ADP
bracis-33650	244	23	the	the	DET
bracis-33650	244	24	current	current	ADJ
bracis-33650	244	25	iteration	iteration	NOUN
bracis-33650	244	26	.	.	PUNCT
bracis-33650	245	1	this	this	DET
bracis-33650	245	2	limitation	limitation	NOUN
bracis-33650	245	3	can	can	AUX
bracis-33650	245	4	be	be	AUX
bracis-33650	245	5	observed	observe	VERB
bracis-33650	245	6	in	in	ADP
bracis-33650	245	7	the	the	DET
bracis-33650	245	8	instability	instability	NOUN
bracis-33650	245	9	shown	show	VERB
bracis-33650	245	10	in	in	ADP
bracis-33650	245	11	fig	fig	NOUN
bracis-33650	245	12	.	.	PUNCT
bracis-33650	245	13	 	 	SPACE
bracis-33650	246	1	4	4	X
bracis-33650	246	2	.	.	PUNCT
bracis-33650	247	1	maintaining	maintain	VERB
bracis-33650	247	2	old	old	ADJ
bracis-33650	247	3	instances	instance	NOUN
bracis-33650	247	4	mitigates	mitigate	VERB
bracis-33650	247	5	this	this	PRON
bracis-33650	247	6	,	,	PUNCT
bracis-33650	247	7	but	but	CCONJ
bracis-33650	247	8	it	it	PRON
bracis-33650	247	9	is	be	AUX
bracis-33650	247	10	not	not	PART
bracis-33650	247	11	enough	enough	ADJ
bracis-33650	247	12	if	if	SCONJ
bracis-33650	247	13	there	there	PRON
bracis-33650	247	14	is	be	VERB
bracis-33650	247	15	a	a	DET
bracis-33650	247	16	dependency	dependency	NOUN
bracis-33650	247	17	on	on	ADP
bracis-33650	247	18	the	the	DET
bracis-33650	247	19	previous	previous	ADJ
bracis-33650	247	20	iteration	iteration	NOUN
bracis-33650	247	21	.	.	PUNCT
bracis-33650	248	1	therefore	therefore	ADV
bracis-33650	248	2	,	,	PUNCT
bracis-33650	248	3	in	in	ADP
bracis-33650	248	4	future	future	ADJ
bracis-33650	248	5	work	work	NOUN
bracis-33650	248	6	,	,	PUNCT
bracis-33650	248	7	we	we	PRON
bracis-33650	248	8	intend	intend	VERB
bracis-33650	248	9	to	to	PART
bracis-33650	248	10	explore	explore	VERB
bracis-33650	248	11	a	a	DET
bracis-33650	248	12	version	version	NOUN
bracis-33650	248	13	of	of	ADP
bracis-33650	248	14	opencast	opencast	NOUN
bracis-33650	248	15	that	that	PRON
bracis-33650	248	16	uses	use	VERB
bracis-33650	248	17	the	the	DET
bracis-33650	248	18	neural	neural	ADJ
bracis-33650	248	19	network	network	NOUN
bracis-33650	248	20	weights	weight	VERB
bracis-33650	248	21	in	in	ADP
bracis-33650	248	22	the	the	DET
bracis-33650	248	23	previous	previous	ADJ
bracis-33650	248	24	iteration	iteration	NOUN
bracis-33650	248	25	to	to	PART
bracis-33650	248	26	initialize	initialize	VERB
bracis-33650	248	27	the	the	DET
bracis-33650	248	28	neural	neural	ADJ
bracis-33650	248	29	network	network	NOUN
bracis-33650	248	30	weights	weight	NOUN
bracis-33650	248	31	in	in	ADP
bracis-33650	248	32	the	the	DET
bracis-33650	248	33	current	current	ADJ
bracis-33650	248	34	iteration	iteration	NOUN
bracis-33650	248	35	.	.	PUNCT
bracis-33650	249	1	furthermore	furthermore	ADV
bracis-33650	249	2	,	,	PUNCT
bracis-33650	249	3	we	we	PRON
bracis-33650	249	4	intend	intend	VERB
bracis-33650	249	5	to	to	PART
bracis-33650	249	6	explore	explore	VERB
bracis-33650	249	7	our	our	PRON
bracis-33650	249	8	method	method	NOUN
bracis-33650	249	9	in	in	ADP
bracis-33650	249	10	heterophilic	heterophilic	ADJ
bracis-33650	249	11	scenarios	scenario	NOUN
bracis-33650	249	12	other	other	ADJ
bracis-33650	249	13	than	than	ADP
bracis-33650	249	14	data	data	NOUN
bracis-33650	249	15	streams	stream	NOUN
bracis-33650	249	16	.	.	PUNCT
bracis-33650	250	1	notes	note	NOUN
bracis-33650	250	2	1.ocl	1.ocl	ADJ
bracis-33650	250	3	is	be	AUX
bracis-33650	250	4	also	also	ADV
bracis-33650	250	5	called	call	VERB
bracis-33650	250	6	one	one	NUM
bracis-33650	250	7	-	-	PUNCT
bracis-33650	250	8	class	class	NOUN
bracis-33650	250	9	classification	classification	NOUN
bracis-33650	250	10	in	in	ADP
bracis-33650	250	11	the	the	DET
bracis-33650	250	12	literature	literature	NOUN
bracis-33650	250	13	,	,	PUNCT
bracis-33650	250	14	but	but	CCONJ
bracis-33650	250	15	this	this	DET
bracis-33650	250	16	work	work	NOUN
bracis-33650	250	17	chose	choose	VERB
bracis-33650	250	18	to	to	PART
bracis-33650	250	19	use	use	VERB
bracis-33650	250	20	the	the	DET
bracis-33650	250	21	term	term	NOUN
bracis-33650	250	22	ocl	ocl	PROPN
bracis-33650	250	23	.	.	PUNCT
bracis-33650	251	1	2.https://github.com/golomarcos/opencast	2.https://github.com/golomarcos/opencast	NUM
bracis-33650	251	2	.	.	PUNCT
bracis-33650	252	1	3.https://riverml.xyz/0.14.0/api/datasets/synth/agrawal/.	3.https://riverml.xyz/0.14.0/api/datasets/synth/agrawal/.	NUM
bracis-33650	253	1	4.https://github.com/marouabahri/cs-arf/tree/master/datasets/.	4.https://github.com/marouabahri/cs-arf/tree/master/datasets/.	NUM
bracis-33650	254	1	5.https://archive.ics.uci.edu/dataset/222/bank+marketing	5.https://archive.ics.uci.edu/dataset/222/bank+marketing	NUM
bracis-33650	254	2	.	.	PUNCT
bracis-33650	255	1	6.https://github.com/amidst/code-examples/blob/master/datasets/driftsets/.	6.https://github.com/amidst/code-examples/blob/master/datasets/driftsets/.	PROPN
bracis-33650	255	2	7.other	7.other	NUM
bracis-33650	255	3	methods	method	NOUN
bracis-33650	255	4	based	base	VERB
bracis-33650	255	5	on	on	ADP
bracis-33650	255	6	ocsvm	ocsvm	ADJ
bracis-33650	255	7	,	,	PUNCT
bracis-33650	255	8	iforest	iforest	VERB
bracis-33650	255	9	and	and	CCONJ
bracis-33650	255	10	lof	lof	PROPN
bracis-33650	255	11	(	(	PUNCT
bracis-33650	255	12	methods	method	NOUN
bracis-33650	255	13	presented	present	VERB
bracis-33650	255	14	in	in	ADP
bracis-33650	255	15	the	the	DET
bracis-33650	255	16	related	relate	VERB
bracis-33650	255	17	work	work	NOUN
bracis-33650	255	18	section	section	NOUN
bracis-33650	255	19	)	)	PUNCT
bracis-33650	255	20	do	do	AUX
bracis-33650	255	21	not	not	PART
bracis-33650	255	22	share	share	VERB
bracis-33650	255	23	the	the	DET
bracis-33650	255	24	source	source	NOUN
bracis-33650	255	25	code	code	NOUN
bracis-33650	255	26	or	or	CCONJ
bracis-33650	255	27	the	the	DET
bracis-33650	255	28	link	link	NOUN
bracis-33650	255	29	to	to	ADP
bracis-33650	255	30	the	the	DET
bracis-33650	255	31	source	source	NOUN
bracis-33650	255	32	code	code	NOUN
bracis-33650	255	33	is	be	AUX
bracis-33650	255	34	broken	break	VERB
bracis-33650	255	35	or	or	CCONJ
bracis-33650	255	36	the	the	DET
bracis-33650	255	37	code	code	NOUN
bracis-33650	255	38	is	be	AUX
bracis-33650	255	39	not	not	PART
bracis-33650	255	40	in	in	ADP
bracis-33650	255	41	python	python	NOUN
bracis-33650	255	42	which	which	PRON
bracis-33650	255	43	was	be	AUX
bracis-33650	255	44	the	the	DET
bracis-33650	255	45	language	language	NOUN
bracis-33650	255	46	used	use	VERB
bracis-33650	255	47	in	in	ADP
bracis-33650	255	48	this	this	DET
bracis-33650	255	49	work	work	NOUN
bracis-33650	255	50	.	.	PUNCT
bracis-33650	256	1	references	reference	NOUN
bracis-33650	256	2	agrawal	agrawal	PROPN
bracis-33650	256	3	,	,	PUNCT
bracis-33650	256	4	r.	r.	PROPN
bracis-33650	256	5	,	,	PUNCT
bracis-33650	256	6	imielinski	imielinski	PROPN
bracis-33650	256	7	,	,	PUNCT
bracis-33650	256	8	t.	t.	PROPN
bracis-33650	256	9	,	,	PUNCT
bracis-33650	256	10	swami	swami	PROPN
bracis-33650	256	11	,	,	PUNCT
bracis-33650	256	12	a.	a.	NOUN
bracis-33650	256	13	:	:	PUNCT
bracis-33650	256	14	database	database	PROPN
bracis-33650	256	15	mining	mining	NOUN
bracis-33650	256	16	:	:	PUNCT
bracis-33650	256	17	a	a	DET
bracis-33650	256	18	performance	performance	NOUN
bracis-33650	256	19	perspective	perspective	NOUN
bracis-33650	256	20	.	.	PUNCT
bracis-33650	257	1	ieee	ieee	PROPN
bracis-33650	257	2	trans	trans	PROPN
bracis-33650	257	3	.	.	PROPN
bracis-33650	258	1	knowl	knowl	PROPN
bracis-33650	258	2	.	.	PUNCT
bracis-33650	259	1	data	data	PROPN
bracis-33650	259	2	eng	eng	PROPN
bracis-33650	259	3	.	.	PROPN
bracis-33650	259	4	5(6	5(6	NUM
bracis-33650	259	5	)	)	PUNCT
bracis-33650	259	6	,	,	PUNCT
bracis-33650	259	7	914–925	914–925	NUM
bracis-33650	259	8	(	(	PUNCT
bracis-33650	259	9	1993	1993	NUM
bracis-33650	259	10	)	)	PUNCT
bracis-33650	259	11	article	article	NOUN
bracis-33650	259	12	  	  	SPACE
bracis-33650	259	13	math	math	NOUN
bracis-33650	259	14	  	  	SPACE
bracis-33650	259	15	google	google	PROPN
bracis-33650	259	16	scholar	scholar	NOUN
bracis-33650	259	17	  	  	SPACE
bracis-33650	259	18	bifet	bifet	PROPN
bracis-33650	259	19	,	,	PUNCT
bracis-33650	259	20	a.	a.	PROPN
bracis-33650	259	21	,	,	PUNCT
bracis-33650	259	22	et	et	PROPN
bracis-33650	259	23	al	al	PROPN
bracis-33650	259	24	.	.	PUNCT
bracis-33650	259	25	:	:	PUNCT
bracis-33650	260	1	moa	moa	NOUN
bracis-33650	260	2	:	:	PUNCT
bracis-33650	260	3	massive	massive	ADJ
bracis-33650	260	4	online	online	ADJ
bracis-33650	260	5	analysis	analysis	NOUN
bracis-33650	260	6	,	,	PUNCT
bracis-33650	260	7	a	a	DET
bracis-33650	260	8	framework	framework	NOUN
bracis-33650	260	9	for	for	ADP
bracis-33650	260	10	stream	stream	NOUN
bracis-33650	260	11	classification	classification	NOUN
bracis-33650	260	12	and	and	CCONJ
bracis-33650	260	13	clustering	clustering	NOUN
bracis-33650	260	14	.	.	PUNCT
bracis-33650	261	1	in	in	ADP
bracis-33650	261	2	:	:	PUNCT
bracis-33650	261	3	proceedings	proceeding	NOUN
bracis-33650	261	4	of	of	ADP
bracis-33650	261	5	the	the	DET
bracis-33650	261	6	first	first	ADJ
bracis-33650	261	7	workshop	workshop	NOUN
bracis-33650	261	8	on	on	ADP
bracis-33650	261	9	applications	application	NOUN
bracis-33650	261	10	of	of	ADP
bracis-33650	261	11	pattern	pattern	NOUN
bracis-33650	261	12	analysis	analysis	NOUN
bracis-33650	261	13	.	.	PUNCT
bracis-33650	262	1	pmlr	pmlr	NOUN
bracis-33650	262	2	(	(	PUNCT
bracis-33650	262	3	2010	2010	NUM
bracis-33650	262	4	)	)	PUNCT
bracis-33650	262	5	google	google	PROPN
bracis-33650	262	6	scholar	scholar	NOUN
bracis-33650	262	7	  	  	SPACE
bracis-33650	262	8	bo	bo	PROPN
bracis-33650	262	9	,	,	PUNCT
bracis-33650	262	10	d.	d.	PROPN
bracis-33650	262	11	,	,	PUNCT
bracis-33650	262	12	wang	wang	PROPN
bracis-33650	262	13	,	,	PUNCT
bracis-33650	262	14	x.	x.	PROPN
bracis-33650	262	15	,	,	PUNCT
bracis-33650	262	16	shi	shi	PROPN
bracis-33650	262	17	,	,	PUNCT
bracis-33650	262	18	c.	c.	PROPN
bracis-33650	262	19	,	,	PUNCT
bracis-33650	262	20	shen	shen	PROPN
bracis-33650	262	21	,	,	PUNCT
bracis-33650	262	22	h.	h.	PROPN
bracis-33650	262	23	:	:	PUNCT
bracis-33650	262	24	beyond	beyond	ADP
bracis-33650	262	25	low	low	ADJ
bracis-33650	262	26	-	-	PUNCT
bracis-33650	262	27	frequency	frequency	NOUN
bracis-33650	262	28	information	information	NOUN
bracis-33650	262	29	in	in	ADP
bracis-33650	262	30	graph	graph	NOUN
bracis-33650	262	31	convolutional	convolutional	ADJ
bracis-33650	262	32	networks	network	NOUN
bracis-33650	262	33	.	.	PUNCT
bracis-33650	263	1	in	in	ADP
bracis-33650	263	2	:	:	PUNCT
bracis-33650	263	3	proceedings	proceeding	NOUN
bracis-33650	263	4	of	of	ADP
bracis-33650	263	5	the	the	DET
bracis-33650	263	6	conference	conference	NOUN
bracis-33650	263	7	of	of	ADP
bracis-33650	263	8	aaai	aaai	PROPN
bracis-33650	263	9	(	(	PUNCT
bracis-33650	263	10	2021	2021	NUM
bracis-33650	263	11	)	)	PUNCT
bracis-33650	263	12	google	google	PROPN
bracis-33650	263	13	scholar	scholar	NOUN
bracis-33650	263	14	  	  	SPACE
bracis-33650	263	15	cai	cai	PROPN
bracis-33650	263	16	,	,	PUNCT
bracis-33650	263	17	l.	l.	PROPN
bracis-33650	263	18	,	,	PUNCT
bracis-33650	263	19	et	et	PROPN
bracis-33650	263	20	al	al	PROPN
bracis-33650	263	21	.	.	PUNCT
bracis-33650	263	22	:	:	PUNCT
bracis-33650	264	1	structural	structural	ADJ
bracis-33650	264	2	temporal	temporal	ADJ
bracis-33650	264	3	graph	graph	NOUN
bracis-33650	264	4	neural	neural	ADJ
bracis-33650	264	5	networks	network	NOUN
bracis-33650	264	6	for	for	ADP
bracis-33650	264	7	anomaly	anomaly	NOUN
bracis-33650	264	8	detection	detection	NOUN
bracis-33650	264	9	in	in	ADP
bracis-33650	264	10	dynamic	dynamic	ADJ
bracis-33650	264	11	graphs	graph	NOUN
bracis-33650	264	12	.	.	PUNCT
bracis-33650	265	1	in	in	ADP
bracis-33650	265	2	:	:	PUNCT
bracis-33650	265	3	proceedings	proceeding	NOUN
bracis-33650	265	4	of	of	ADP
bracis-33650	265	5	the	the	DET
bracis-33650	265	6	international	international	ADJ
bracis-33650	265	7	conference	conference	NOUN
bracis-33650	265	8	on	on	ADP
bracis-33650	265	9	information	information	NOUN
bracis-33650	265	10	and	and	CCONJ
bracis-33650	265	11	knowledge	knowledge	NOUN
bracis-33650	265	12	management	management	NOUN
bracis-33650	265	13	(	(	PUNCT
bracis-33650	265	14	2021	2021	NUM
bracis-33650	265	15	)	)	PUNCT
bracis-33650	265	16	google	google	PROPN
bracis-33650	265	17	scholar	scholar	NOUN
bracis-33650	265	18	  	  	SPACE
bracis-33650	265	19	corso	corso	NOUN
bracis-33650	265	20	,	,	PUNCT
bracis-33650	265	21	g.	g.	PROPN
bracis-33650	265	22	,	,	PUNCT
bracis-33650	265	23	stark	stark	PROPN
bracis-33650	265	24	,	,	PUNCT
bracis-33650	265	25	h.	h.	PROPN
bracis-33650	265	26	,	,	PUNCT
bracis-33650	265	27	jegelka	jegelka	PROPN
bracis-33650	265	28	,	,	PUNCT
bracis-33650	265	29	s.	s.	PROPN
bracis-33650	265	30	,	,	PUNCT
bracis-33650	265	31	jaakkola	jaakkola	PROPN
bracis-33650	265	32	,	,	PUNCT
bracis-33650	265	33	t.	t.	PROPN
bracis-33650	265	34	,	,	PUNCT
bracis-33650	265	35	barzilay	barzilay	NOUN
bracis-33650	265	36	,	,	PUNCT
bracis-33650	265	37	r.	r.	PROPN
bracis-33650	265	38	:	:	PUNCT
bracis-33650	265	39	graph	graph	VERB
bracis-33650	265	40	neural	neural	ADJ
bracis-33650	265	41	networks	network	NOUN
bracis-33650	265	42	.	.	PUNCT
bracis-33650	266	1	nat	nat	PROPN
bracis-33650	266	2	.	.	PUNCT
bracis-33650	267	1	rev	rev	PROPN
bracis-33650	267	2	.	.	PROPN
bracis-33650	268	1	methods	method	NOUN
bracis-33650	268	2	primers	primer	NOUN
bracis-33650	268	3	4(1	4(1	NOUN
bracis-33650	268	4	)	)	PUNCT
bracis-33650	268	5	,	,	PUNCT
bracis-33650	268	6	17	17	NUM
bracis-33650	268	7	(	(	PUNCT
bracis-33650	268	8	2024	2024	NUM
bracis-33650	268	9	)	)	PUNCT
bracis-33650	268	10	article	article	NOUN
bracis-33650	268	11	  	  	SPACE
bracis-33650	268	12	math	math	NOUN
bracis-33650	268	13	  	  	SPACE
bracis-33650	268	14	google	google	PROPN
bracis-33650	268	15	scholar	scholar	NOUN
bracis-33650	268	16	  	  	SPACE
bracis-33650	268	17	de	de	PROPN
bracis-33650	268	18	 	 	SPACE
bracis-33650	268	19	faria	faria	PROPN
bracis-33650	268	20	,	,	PUNCT
bracis-33650	268	21	e.r	e.r	PROPN
bracis-33650	268	22	.	.	PROPN
bracis-33650	268	23	,	,	PUNCT
bracis-33650	268	24	ponce	ponce	PROPN
bracis-33650	268	25	 	 	SPACE
bracis-33650	268	26	de	de	PROPN
bracis-33650	268	27	leon	leon	PROPN
bracis-33650	268	28	ferreira	ferreira	PROPN
bracis-33650	268	29	 	 	SPACE
bracis-33650	268	30	carvalho	carvalho	PROPN
bracis-33650	268	31	,	,	PUNCT
bracis-33650	268	32	a.c	a.c	PROPN
bracis-33650	268	33	.	.	PROPN
bracis-33650	268	34	,	,	PUNCT
bracis-33650	268	35	gama	gama	PROPN
bracis-33650	268	36	,	,	PUNCT
bracis-33650	268	37	j.	j.	PROPN
bracis-33650	269	1	:	:	PUNCT
bracis-33650	269	2	minas	mina	NOUN
bracis-33650	269	3	:	:	PUNCT
bracis-33650	269	4	multiclass	multiclass	ADJ
bracis-33650	269	5	learning	learning	NOUN
bracis-33650	269	6	algorithm	algorithm	NOUN
bracis-33650	269	7	for	for	ADP
bracis-33650	269	8	novelty	novelty	NOUN
bracis-33650	269	9	detection	detection	NOUN
bracis-33650	269	10	in	in	ADP
bracis-33650	269	11	data	datum	NOUN
bracis-33650	269	12	streams	stream	NOUN
bracis-33650	269	13	.	.	PUNCT
bracis-33650	270	1	data	datum	NOUN
bracis-33650	270	2	mining	mining	NOUN
bracis-33650	270	3	and	and	CCONJ
bracis-33650	270	4	knowledge	knowledge	NOUN
bracis-33650	270	5	discovery	discovery	PROPN
bracis-33650	270	6	30	30	NUM
bracis-33650	270	7	,	,	PUNCT
bracis-33650	270	8	640–680	640–680	NUM
bracis-33650	270	9	(	(	PUNCT
bracis-33650	270	10	2016	2016	NUM
bracis-33650	270	11	)	)	PUNCT
bracis-33650	270	12	google	google	PROPN
bracis-33650	270	13	scholar	scholar	NOUN
bracis-33650	270	14	  	  	SPACE
bracis-33650	270	15	feng	feng	PROPN
bracis-33650	270	16	,	,	PUNCT
bracis-33650	270	17	y.	y.	PROPN
bracis-33650	270	18	,	,	PUNCT
bracis-33650	270	19	chen	chen	PROPN
bracis-33650	270	20	,	,	PUNCT
bracis-33650	270	21	j.	j.	PROPN
bracis-33650	270	22	,	,	PUNCT
bracis-33650	270	23	liu	liu	PROPN
bracis-33650	270	24	,	,	PUNCT
bracis-33650	270	25	z.	z.	PROPN
bracis-33650	270	26	,	,	PUNCT
bracis-33650	270	27	lv	lv	PROPN
bracis-33650	270	28	,	,	PUNCT
bracis-33650	270	29	h.	h.	PROPN
bracis-33650	270	30	,	,	PUNCT
bracis-33650	270	31	wang	wang	PROPN
bracis-33650	270	32	,	,	PUNCT
bracis-33650	270	33	j.	j.	PROPN
bracis-33650	270	34	:	:	PUNCT
bracis-33650	270	35	full	full	ADJ
bracis-33650	270	36	graph	graph	NOUN
bracis-33650	270	37	autoencoder	autoencoder	NOUN
bracis-33650	270	38	for	for	ADP
bracis-33650	270	39	one	one	NUM
bracis-33650	270	40	-	-	PUNCT
bracis-33650	270	41	class	class	NOUN
bracis-33650	270	42	group	group	NOUN
bracis-33650	270	43	anomaly	anomaly	NOUN
bracis-33650	270	44	detection	detection	NOUN
bracis-33650	270	45	of	of	ADP
bracis-33650	270	46	iiot	iiot	NOUN
bracis-33650	270	47	system	system	NOUN
bracis-33650	270	48	.	.	PUNCT
bracis-33650	271	1	internet	internet	NOUN
bracis-33650	271	2	things	thing	NOUN
bracis-33650	271	3	j.	j.	PROPN
bracis-33650	271	4	9(21	9(21	PROPN
bracis-33650	271	5	)	)	PUNCT
bracis-33650	271	6	(	(	PUNCT
bracis-33650	271	7	2022	2022	NUM
bracis-33650	271	8	)	)	PUNCT
bracis-33650	271	9	google	google	NOUN
bracis-33650	271	10	scholar	scholar	NOUN
bracis-33650	271	11	  	  	SPACE
bracis-33650	271	12	gama	gama	NOUN
bracis-33650	271	13	,	,	PUNCT
bracis-33650	271	14	j.	j.	PROPN
bracis-33650	271	15	,	,	PUNCT
bracis-33650	271	16	sebastiao	sebastiao	PROPN
bracis-33650	271	17	,	,	PUNCT
bracis-33650	271	18	r.	r.	PROPN
bracis-33650	271	19	,	,	PUNCT
bracis-33650	271	20	rodrigues	rodrigues	PROPN
bracis-33650	271	21	,	,	PUNCT
bracis-33650	271	22	p.p	p.p	PROPN
bracis-33650	271	23	.	.	PUNCT
bracis-33650	271	24	:	:	PUNCT
bracis-33650	271	25	on	on	ADP
bracis-33650	271	26	evaluating	evaluate	VERB
bracis-33650	271	27	stream	stream	NOUN
bracis-33650	271	28	learning	learn	VERB
bracis-33650	271	29	algorithms	algorithm	NOUN
bracis-33650	271	30	.	.	PUNCT
bracis-33650	272	1	mach	mach	NOUN
bracis-33650	272	2	.	.	PUNCT
bracis-33650	273	1	learn	learn	VERB
bracis-33650	273	2	.	.	PUNCT
bracis-33650	274	1	90	90	NUM
bracis-33650	274	2	,	,	PUNCT
bracis-33650	274	3	317–346	317–346	NUM
bracis-33650	274	4	(	(	PUNCT
bracis-33650	274	5	2013	2013	NUM
bracis-33650	274	6	)	)	PUNCT
bracis-33650	274	7	article	article	NOUN
bracis-33650	274	8	  	  	SPACE
bracis-33650	274	9	mathscinet	mathscinet	NOUN
bracis-33650	274	10	  	  	SPACE
bracis-33650	274	11	math	math	NOUN
bracis-33650	274	12	  	  	SPACE
bracis-33650	274	13	google	google	PROPN
bracis-33650	274	14	scholar	scholar	NOUN
bracis-33650	274	15	  	  	SPACE
bracis-33650	274	16	gaudreault	gaudreault	NOUN
bracis-33650	274	17	,	,	PUNCT
bracis-33650	274	18	j.g	j.g	PROPN
bracis-33650	274	19	.	.	PROPN
bracis-33650	274	20	,	,	PUNCT
bracis-33650	274	21	branco	branco	PROPN
bracis-33650	274	22	,	,	PUNCT
bracis-33650	274	23	p.	p.	NOUN
bracis-33650	274	24	:	:	PUNCT
bracis-33650	274	25	a	a	DET
bracis-33650	274	26	systematic	systematic	ADJ
bracis-33650	274	27	literature	literature	NOUN
bracis-33650	274	28	review	review	NOUN
bracis-33650	274	29	of	of	ADP
bracis-33650	274	30	novelty	novelty	NOUN
bracis-33650	274	31	detection	detection	NOUN
bracis-33650	274	32	in	in	ADP
bracis-33650	274	33	data	datum	NOUN
bracis-33650	274	34	streams	stream	NOUN
bracis-33650	274	35	:	:	PUNCT
bracis-33650	274	36	challenges	challenge	NOUN
bracis-33650	274	37	and	and	CCONJ
bracis-33650	274	38	opportunities	opportunity	NOUN
bracis-33650	274	39	.	.	PUNCT
bracis-33650	275	1	acm	acm	PROPN
bracis-33650	275	2	comput	comput	NOUN
bracis-33650	275	3	.	.	PUNCT
bracis-33650	276	1	surv	surv	PROPN
bracis-33650	276	2	.	.	PUNCT
bracis-33650	277	1	(	(	PUNCT
bracis-33650	277	2	2024	2024	NUM
bracis-33650	277	3	)	)	PUNCT
bracis-33650	277	4	google	google	NOUN
bracis-33650	277	5	scholar	scholar	NOUN
bracis-33650	277	6	  	  	SPACE
bracis-33650	277	7	gôlo	gôlo	NOUN
bracis-33650	277	8	,	,	PUNCT
bracis-33650	277	9	m.p.s	m.p.s	PROPN
bracis-33650	277	10	.	.	PROPN
bracis-33650	277	11	,	,	PUNCT
bracis-33650	277	12	de	de	PROPN
bracis-33650	277	13	 	 	SPACE
bracis-33650	277	14	moraes	moraes	PROPN
bracis-33650	277	15	,	,	PUNCT
bracis-33650	277	16	m.i	m.i	PROPN
bracis-33650	277	17	.	.	PROPN
bracis-33650	277	18	,	,	PUNCT
bracis-33650	277	19	goularte	goularte	PROPN
bracis-33650	277	20	,	,	PUNCT
bracis-33650	277	21	r.	r.	PROPN
bracis-33650	277	22	,	,	PUNCT
bracis-33650	277	23	marcacini	marcacini	PROPN
bracis-33650	277	24	,	,	PUNCT
bracis-33650	277	25	r.m	r.m	PROPN
bracis-33650	277	26	.	.	PROPN
bracis-33650	277	27	:	:	PUNCT
bracis-33650	277	28	on	on	ADP
bracis-33650	277	29	the	the	DET
bracis-33650	277	30	use	use	NOUN
bracis-33650	277	31	of	of	ADP
bracis-33650	277	32	early	early	ADJ
bracis-33650	277	33	fusion	fusion	NOUN
bracis-33650	277	34	operators	operator	NOUN
bracis-33650	277	35	on	on	ADP
bracis-33650	277	36	heterogeneous	heterogeneous	ADJ
bracis-33650	277	37	graph	graph	NOUN
bracis-33650	277	38	neural	neural	ADJ
bracis-33650	277	39	networks	network	NOUN
bracis-33650	277	40	for	for	ADP
bracis-33650	277	41	one	one	NUM
bracis-33650	277	42	-	-	PUNCT
bracis-33650	277	43	class	class	NOUN
bracis-33650	277	44	learning	learning	NOUN
bracis-33650	277	45	.	.	PUNCT
bracis-33650	278	1	in	in	ADP
bracis-33650	278	2	:	:	PUNCT
bracis-33650	278	3	proceedings	proceeding	NOUN
bracis-33650	278	4	of	of	ADP
bracis-33650	278	5	the	the	DET
bracis-33650	278	6	brazilian	brazilian	ADJ
bracis-33650	278	7	symposium	symposium	NOUN
bracis-33650	278	8	on	on	ADP
bracis-33650	278	9	multimedia	multimedia	NOUN
bracis-33650	278	10	and	and	CCONJ
bracis-33650	278	11	the	the	DET
bracis-33650	278	12	web	web	NOUN
bracis-33650	278	13	,	,	PUNCT
bracis-33650	278	14	pp	pp	ADJ
bracis-33650	278	15	.	.	PUNCT
bracis-33650	279	1	128–136	128–136	NUM
bracis-33650	279	2	(	(	PUNCT
bracis-33650	279	3	2023	2023	NUM
bracis-33650	279	4	)	)	PUNCT
bracis-33650	279	5	google	google	NOUN
bracis-33650	279	6	scholar	scholar	NOUN
bracis-33650	279	7	  	  	SPACE
bracis-33650	279	8	gôlo	gôlo	NOUN
bracis-33650	279	9	,	,	PUNCT
bracis-33650	279	10	m.p.s	m.p.s	PROPN
bracis-33650	279	11	.	.	PROPN
bracis-33650	279	12	,	,	PUNCT
bracis-33650	279	13	junior	junior	PROPN
bracis-33650	279	14	,	,	PUNCT
bracis-33650	279	15	j.g.b.m	j.g.b.m	PROPN
bracis-33650	279	16	.	.	PROPN
bracis-33650	279	17	,	,	PUNCT
bracis-33650	279	18	silva	silva	PROPN
bracis-33650	279	19	,	,	PUNCT
bracis-33650	279	20	d.f	d.f	PROPN
bracis-33650	279	21	.	.	PROPN
bracis-33650	279	22	,	,	PUNCT
bracis-33650	279	23	marcacini	marcacini	PROPN
bracis-33650	279	24	,	,	PUNCT
bracis-33650	279	25	r.m	r.m	PROPN
bracis-33650	279	26	.	.	PROPN
bracis-33650	279	27	:	:	PUNCT
bracis-33650	280	1	olga	olga	PROPN
bracis-33650	280	2	:	:	PUNCT
bracis-33650	280	3	one	one	NUM
bracis-33650	280	4	-	-	PUNCT
bracis-33650	280	5	class	class	NOUN
bracis-33650	280	6	graph	graph	NOUN
bracis-33650	280	7	autoencoder	autoencoder	NOUN
bracis-33650	280	8	.	.	PUNCT
bracis-33650	281	1	arxiv	arxiv	PROPN
bracis-33650	281	2	preprint	preprint	VERB
bracis-33650	281	3	arxiv:2406.09131	arxiv:2406.09131	NOUN
bracis-33650	281	4	(	(	PUNCT
bracis-33650	281	5	2024	2024	NUM
bracis-33650	281	6	)	)	PUNCT
bracis-33650	281	7	haug	haug	NOUN
bracis-33650	281	8	,	,	PUNCT
bracis-33650	281	9	j.	j.	PROPN
bracis-33650	281	10	,	,	PUNCT
bracis-33650	281	11	broelemann	broelemann	PROPN
bracis-33650	281	12	,	,	PUNCT
bracis-33650	281	13	k.	k.	PROPN
bracis-33650	281	14	,	,	PUNCT
bracis-33650	281	15	kasneci	kasneci	PROPN
bracis-33650	281	16	,	,	PUNCT
bracis-33650	281	17	g.	g.	NOUN
bracis-33650	281	18	:	:	PUNCT
bracis-33650	281	19	dynamic	dynamic	ADJ
bracis-33650	281	20	model	model	NOUN
bracis-33650	281	21	tree	tree	NOUN
bracis-33650	281	22	for	for	ADP
bracis-33650	281	23	interpretable	interpretable	ADJ
bracis-33650	281	24	data	datum	NOUN
bracis-33650	281	25	stream	stream	NOUN
bracis-33650	281	26	learning	learning	NOUN
bracis-33650	281	27	.	.	PUNCT
bracis-33650	282	1	in	in	ADP
bracis-33650	282	2	:	:	PUNCT
bracis-33650	282	3	international	international	ADJ
bracis-33650	282	4	conference	conference	NOUN
bracis-33650	282	5	on	on	ADP
bracis-33650	282	6	data	datum	NOUN
bracis-33650	282	7	engineering	engineering	NOUN
bracis-33650	282	8	.	.	PUNCT
bracis-33650	283	1	ieee	ieee	NOUN
bracis-33650	283	2	(	(	PUNCT
bracis-33650	283	3	2022	2022	NUM
bracis-33650	283	4	)	)	PUNCT
bracis-33650	283	5	google	google	PROPN
bracis-33650	283	6	scholar	scholar	NOUN
bracis-33650	283	7	  	  	SPACE
bracis-33650	283	8	jin	jin	NOUN
bracis-33650	283	9	,	,	PUNCT
bracis-33650	283	10	g.	g.	PROPN
bracis-33650	283	11	,	,	PUNCT
bracis-33650	283	12	et	et	PROPN
bracis-33650	283	13	al	al	PROPN
bracis-33650	283	14	.	.	PROPN
bracis-33650	283	15	:	:	PUNCT
bracis-33650	284	1	spatio	spatio	ADJ
bracis-33650	284	2	-	-	PUNCT
bracis-33650	284	3	temporal	temporal	ADJ
bracis-33650	284	4	graph	graph	NOUN
bracis-33650	284	5	neural	neural	ADJ
bracis-33650	284	6	networks	network	NOUN
bracis-33650	284	7	for	for	ADP
bracis-33650	284	8	predictive	predictive	ADJ
bracis-33650	284	9	learning	learning	NOUN
bracis-33650	284	10	in	in	ADP
bracis-33650	284	11	urban	urban	ADJ
bracis-33650	284	12	computing	computing	NOUN
bracis-33650	284	13	:	:	PUNCT
bracis-33650	284	14	a	a	DET
bracis-33650	284	15	survey	survey	NOUN
bracis-33650	284	16	.	.	PUNCT
bracis-33650	285	1	ieee	ieee	PROPN
bracis-33650	285	2	trans	trans	PROPN
bracis-33650	285	3	.	.	PROPN
bracis-33650	286	1	knowl	knowl	PROPN
bracis-33650	286	2	.	.	PUNCT
bracis-33650	287	1	data	data	PROPN
bracis-33650	287	2	eng	eng	PROPN
bracis-33650	287	3	.	.	PUNCT
bracis-33650	288	1	(	(	PUNCT
bracis-33650	288	2	2023	2023	NUM
bracis-33650	288	3	)	)	PUNCT
bracis-33650	288	4	google	google	PROPN
bracis-33650	288	5	scholar	scholar	NOUN
bracis-33650	288	6	  	  	SPACE
bracis-33650	288	7	jodelka	jodelka	PROPN
bracis-33650	288	8	,	,	PUNCT
bracis-33650	288	9	o.	o.	PROPN
bracis-33650	288	10	,	,	PUNCT
bracis-33650	288	11	anagnostopoulos	anagnostopoulos	PROPN
bracis-33650	288	12	,	,	PUNCT
bracis-33650	288	13	c.	c.	PROPN
bracis-33650	288	14	,	,	PUNCT
bracis-33650	288	15	kolomvatsos	kolomvatsos	PROPN
bracis-33650	288	16	,	,	PUNCT
bracis-33650	288	17	k.	k.	PROPN
bracis-33650	288	18	:	:	PUNCT
bracis-33650	288	19	adaptive	adaptive	ADJ
bracis-33650	288	20	novelty	novelty	NOUN
bracis-33650	288	21	detection	detection	NOUN
bracis-33650	288	22	over	over	ADP
bracis-33650	288	23	contextual	contextual	ADJ
bracis-33650	288	24	data	datum	NOUN
bracis-33650	288	25	streams	stream	NOUN
bracis-33650	288	26	at	at	ADP
bracis-33650	288	27	the	the	DET
bracis-33650	288	28	edge	edge	NOUN
bracis-33650	288	29	using	use	VERB
bracis-33650	288	30	one	one	NUM
bracis-33650	288	31	-	-	PUNCT
bracis-33650	288	32	class	class	NOUN
bracis-33650	288	33	classification	classification	NOUN
bracis-33650	288	34	.	.	PUNCT
bracis-33650	289	1	in	in	ADP
bracis-33650	289	2	:	:	PUNCT
bracis-33650	289	3	international	international	ADJ
bracis-33650	289	4	conference	conference	NOUN
bracis-33650	289	5	on	on	ADP
bracis-33650	289	6	information	information	NOUN
bracis-33650	289	7	and	and	CCONJ
bracis-33650	289	8	communication	communication	NOUN
bracis-33650	289	9	systems	system	NOUN
bracis-33650	289	10	.	.	PUNCT
bracis-33650	290	1	ieee	ieee	NOUN
bracis-33650	290	2	(	(	PUNCT
bracis-33650	290	3	2021	2021	NUM
bracis-33650	290	4	)	)	PUNCT
bracis-33650	290	5	google	google	NOUN
bracis-33650	290	6	scholar	scholar	NOUN
bracis-33650	290	7	  	  	SPACE
bracis-33650	290	8	kipf	kipf	PROPN
bracis-33650	290	9	,	,	PUNCT
bracis-33650	290	10	t.n	t.n	PROPN
bracis-33650	290	11	.	.	PROPN
bracis-33650	290	12	,	,	PUNCT
bracis-33650	290	13	welling	well	VERB
bracis-33650	290	14	,	,	PUNCT
bracis-33650	290	15	m.	m.	NOUN
bracis-33650	290	16	:	:	PUNCT
bracis-33650	290	17	variational	variational	ADJ
bracis-33650	290	18	graph	graph	NOUN
bracis-33650	290	19	auto	auto	NOUN
bracis-33650	290	20	-	-	PUNCT
bracis-33650	290	21	encoders	encoder	NOUN
bracis-33650	290	22	.	.	PUNCT
bracis-33650	291	1	stat	stat	PROPN
bracis-33650	291	2	1050	1050	NUM
bracis-33650	291	3	,	,	PUNCT
bracis-33650	291	4	21	21	NUM
bracis-33650	291	5	(	(	PUNCT
bracis-33650	291	6	2016	2016	NUM
bracis-33650	291	7	)	)	PUNCT
bracis-33650	291	8	math	math	NOUN
bracis-33650	291	9	  	  	SPACE
bracis-33650	291	10	google	google	PROPN
bracis-33650	291	11	scholar	scholar	NOUN
bracis-33650	291	12	  	  	SPACE
bracis-33650	291	13	luan	luan	PROPN
bracis-33650	291	14	,	,	PUNCT
bracis-33650	291	15	s.	s.	PROPN
bracis-33650	291	16	,	,	PUNCT
bracis-33650	291	17	et	et	PROPN
bracis-33650	291	18	al	al	PROPN
bracis-33650	291	19	.	.	PUNCT
bracis-33650	291	20	:	:	PUNCT
bracis-33650	292	1	revisiting	revisit	VERB
bracis-33650	292	2	heterophily	heterophily	ADV
bracis-33650	292	3	for	for	ADP
bracis-33650	292	4	graph	graph	NOUN
bracis-33650	292	5	neural	neural	ADJ
bracis-33650	292	6	networks	network	NOUN
bracis-33650	292	7	.	.	PUNCT
bracis-33650	293	1	adv	adv	PROPN
bracis-33650	293	2	.	.	PUNCT
bracis-33650	293	3	neural	neural	PROPN
bracis-33650	293	4	.	.	PUNCT
bracis-33650	294	1	inf	inf	PROPN
bracis-33650	294	2	.	.	PROPN
bracis-33650	294	3	process	process	NOUN
bracis-33650	294	4	.	.	PUNCT
bracis-33650	295	1	syst	syst	PROPN
bracis-33650	295	2	.	.	PROPN
bracis-33650	296	1	35	35	NUM
bracis-33650	296	2	,	,	PUNCT
bracis-33650	296	3	1362–1375	1362–1375	NUM
bracis-33650	296	4	(	(	PUNCT
bracis-33650	296	5	2022	2022	NUM
bracis-33650	296	6	)	)	PUNCT
bracis-33650	296	7	google	google	PROPN
bracis-33650	296	8	scholar	scholar	NOUN
bracis-33650	296	9	  	  	SPACE
bracis-33650	296	10	ma	ma	PROPN
bracis-33650	296	11	,	,	PUNCT
bracis-33650	296	12	y.	y.	PROPN
bracis-33650	296	13	,	,	PUNCT
bracis-33650	296	14	guo	guo	PROPN
bracis-33650	296	15	,	,	PUNCT
bracis-33650	296	16	z.	z.	PROPN
bracis-33650	296	17	,	,	PUNCT
bracis-33650	296	18	ren	ren	PROPN
bracis-33650	296	19	,	,	PUNCT
bracis-33650	296	20	z.	z.	PROPN
bracis-33650	296	21	,	,	PUNCT
bracis-33650	296	22	tang	tang	PROPN
bracis-33650	296	23	,	,	PUNCT
bracis-33650	296	24	j.	j.	PROPN
bracis-33650	296	25	,	,	PUNCT
bracis-33650	296	26	yin	yin	PROPN
bracis-33650	296	27	,	,	PUNCT
bracis-33650	296	28	d.	d.	PROPN
bracis-33650	296	29	:	:	PUNCT
bracis-33650	296	30	streaming	streaming	NOUN
bracis-33650	296	31	graph	graph	NOUN
bracis-33650	296	32	neural	neural	ADJ
bracis-33650	296	33	networks	network	NOUN
bracis-33650	296	34	.	.	PUNCT
bracis-33650	297	1	in	in	ADP
bracis-33650	297	2	:	:	PUNCT
bracis-33650	297	3	proceedings	proceeding	NOUN
bracis-33650	297	4	of	of	ADP
bracis-33650	297	5	the	the	DET
bracis-33650	297	6	43rd	43rd	PROPN
bracis-33650	297	7	international	international	PROPN
bracis-33650	297	8	acm	acm	PROPN
bracis-33650	297	9	sigir	sigir	PROPN
bracis-33650	297	10	conference	conference	PROPN
bracis-33650	297	11	on	on	ADP
bracis-33650	297	12	research	research	NOUN
bracis-33650	297	13	and	and	CCONJ
bracis-33650	297	14	development	development	NOUN
bracis-33650	297	15	in	in	ADP
bracis-33650	297	16	information	information	NOUN
bracis-33650	297	17	retrieval	retrieval	NOUN
bracis-33650	297	18	,	,	PUNCT
bracis-33650	297	19	pp	pp	ADV
bracis-33650	297	20	.	.	PUNCT
bracis-33650	298	1	719–728	719–728	NUM
bracis-33650	298	2	(	(	PUNCT
bracis-33650	298	3	2020	2020	NUM
bracis-33650	298	4	)	)	PUNCT
bracis-33650	298	5	google	google	PROPN
bracis-33650	298	6	scholar	scholar	NOUN
bracis-33650	298	7	  	  	SPACE
bracis-33650	298	8	mendelson	mendelson	PROPN
bracis-33650	298	9	,	,	PUNCT
bracis-33650	298	10	s.	s.	PROPN
bracis-33650	298	11	,	,	PUNCT
bracis-33650	298	12	lerner	lerner	PROPN
bracis-33650	298	13	,	,	PUNCT
bracis-33650	298	14	b.	b.	PROPN
bracis-33650	298	15	:	:	PUNCT
bracis-33650	298	16	online	online	ADJ
bracis-33650	298	17	cluster	cluster	NOUN
bracis-33650	298	18	drift	drift	NOUN
bracis-33650	298	19	detection	detection	NOUN
bracis-33650	298	20	for	for	ADP
bracis-33650	298	21	novelty	novelty	NOUN
bracis-33650	298	22	detection	detection	NOUN
bracis-33650	298	23	in	in	ADP
bracis-33650	298	24	data	datum	NOUN
bracis-33650	298	25	streams	stream	NOUN
bracis-33650	298	26	.	.	PUNCT
bracis-33650	299	1	in	in	ADP
bracis-33650	299	2	:	:	PUNCT
bracis-33650	299	3	international	international	ADJ
bracis-33650	299	4	conference	conference	NOUN
bracis-33650	299	5	on	on	ADP
bracis-33650	299	6	machine	machine	NOUN
bracis-33650	299	7	learning	learning	NOUN
bracis-33650	299	8	and	and	CCONJ
bracis-33650	299	9	applications	application	NOUN
bracis-33650	299	10	.	.	PUNCT
bracis-33650	300	1	ieee	ieee	NOUN
bracis-33650	300	2	(	(	PUNCT
bracis-33650	300	3	2020	2020	NUM
bracis-33650	300	4	)	)	PUNCT
bracis-33650	300	5	google	google	PROPN
bracis-33650	300	6	scholar	scholar	NOUN
bracis-33650	300	7	  	  	SPACE
bracis-33650	300	8	moro	moro	PROPN
bracis-33650	300	9	,	,	PUNCT
bracis-33650	300	10	s.	s.	PROPN
bracis-33650	300	11	,	,	PUNCT
bracis-33650	300	12	rita	rita	PROPN
bracis-33650	300	13	,	,	PUNCT
bracis-33650	300	14	p.	p.	PROPN
bracis-33650	300	15	,	,	PUNCT
bracis-33650	300	16	cortez	cortez	PROPN
bracis-33650	300	17	,	,	PUNCT
bracis-33650	300	18	p.	p.	NOUN
bracis-33650	300	19	:	:	PUNCT
bracis-33650	300	20	bank	bank	NOUN
bracis-33650	300	21	marketing	marketing	NOUN
bracis-33650	300	22	.	.	PUNCT
bracis-33650	301	1	uci	uci	PROPN
bracis-33650	301	2	repository	repository	PROPN
bracis-33650	301	3	(	(	PUNCT
bracis-33650	301	4	2012	2012	NUM
bracis-33650	301	5	)	)	PUNCT
bracis-33650	301	6	google	google	PROPN
bracis-33650	301	7	scholar	scholar	NOUN
bracis-33650	301	8	  	  	SPACE
bracis-33650	301	9	na	na	PROPN
bracis-33650	301	10	,	,	PUNCT
bracis-33650	301	11	g.s	g.s	PROPN
bracis-33650	301	12	.	.	PROPN
bracis-33650	301	13	,	,	PUNCT
bracis-33650	301	14	kim	kim	PROPN
bracis-33650	301	15	,	,	PUNCT
bracis-33650	301	16	d.	d.	PROPN
bracis-33650	301	17	,	,	PUNCT
bracis-33650	301	18	yu	yu	PROPN
bracis-33650	301	19	,	,	PUNCT
bracis-33650	301	20	h.	h.	PROPN
bracis-33650	301	21	:	:	PUNCT
bracis-33650	301	22	dilof	dilof	NOUN
bracis-33650	301	23	:	:	PUNCT
bracis-33650	301	24	effective	effective	ADJ
bracis-33650	301	25	and	and	CCONJ
bracis-33650	301	26	memory	memory	NOUN
bracis-33650	301	27	efficient	efficient	ADJ
bracis-33650	301	28	local	local	ADJ
bracis-33650	301	29	outlier	outlier	NOUN
bracis-33650	301	30	detection	detection	NOUN
bracis-33650	301	31	in	in	ADP
bracis-33650	301	32	data	datum	NOUN
bracis-33650	301	33	streams	stream	NOUN
bracis-33650	301	34	.	.	PUNCT
bracis-33650	302	1	in	in	ADP
bracis-33650	302	2	:	:	PUNCT
bracis-33650	302	3	proceedings	proceeding	NOUN
bracis-33650	302	4	of	of	ADP
bracis-33650	302	5	knowledge	knowledge	NOUN
bracis-33650	302	6	discovery	discovery	PROPN
bracis-33650	302	7	and	and	CCONJ
bracis-33650	302	8	data	datum	NOUN
bracis-33650	302	9	mining	mining	NOUN
bracis-33650	302	10	(	(	PUNCT
bracis-33650	302	11	2018	2018	NUM
bracis-33650	302	12	)	)	PUNCT
bracis-33650	302	13	google	google	PROPN
bracis-33650	302	14	scholar	scholar	NOUN
bracis-33650	302	15	  	  	SPACE
bracis-33650	302	16	onuki	onuki	PROPN
bracis-33650	302	17	,	,	PUNCT
bracis-33650	302	18	e.k.t	e.k.t	ADP
bracis-33650	302	19	.	.	PROPN
bracis-33650	302	20	,	,	PUNCT
bracis-33650	302	21	malucelli	malucelli	PROPN
bracis-33650	302	22	,	,	PUNCT
bracis-33650	302	23	a.	a.	NOUN
bracis-33650	302	24	,	,	PUNCT
bracis-33650	302	25	barddal	barddal	NOUN
bracis-33650	302	26	,	,	PUNCT
bracis-33650	302	27	j.p	j.p	PROPN
bracis-33650	302	28	.	.	PROPN
bracis-33650	302	29	:	:	PUNCT
bracis-33650	303	1	a	a	DET
bracis-33650	303	2	tool	tool	NOUN
bracis-33650	303	3	for	for	ADP
bracis-33650	303	4	measuring	measure	VERB
bracis-33650	303	5	energy	energy	NOUN
bracis-33650	303	6	consumption	consumption	NOUN
bracis-33650	303	7	in	in	ADP
bracis-33650	303	8	data	datum	NOUN
bracis-33650	303	9	stream	stream	NOUN
bracis-33650	303	10	mining	mining	NOUN
bracis-33650	303	11	.	.	PUNCT
bracis-33650	304	1	in	in	ADP
bracis-33650	304	2	:	:	PUNCT
bracis-33650	304	3	br	br	PROPN
bracis-33650	304	4	conference	conference	NOUN
bracis-33650	304	5	on	on	ADP
bracis-33650	304	6	intelligent	intelligent	ADJ
bracis-33650	304	7	systems	system	NOUN
bracis-33650	304	8	.	.	PUNCT
bracis-33650	305	1	springer	springer	NOUN
bracis-33650	305	2	(	(	PUNCT
bracis-33650	305	3	2023	2023	NUM
bracis-33650	305	4	)	)	PUNCT
bracis-33650	305	5	google	google	PROPN
bracis-33650	305	6	scholar	scholar	NOUN
bracis-33650	305	7	  	  	SPACE
bracis-33650	305	8	peng	peng	PROPN
bracis-33650	305	9	,	,	PUNCT
bracis-33650	305	10	x.	x.	PROPN
bracis-33650	305	11	,	,	PUNCT
bracis-33650	305	12	li	li	PROPN
bracis-33650	305	13	,	,	PUNCT
bracis-33650	305	14	y.	y.	PROPN
bracis-33650	305	15	,	,	PUNCT
bracis-33650	305	16	tsang	tsang	PROPN
bracis-33650	305	17	,	,	PUNCT
bracis-33650	305	18	i.w	i.w	PROPN
bracis-33650	305	19	.	.	PROPN
bracis-33650	305	20	,	,	PUNCT
bracis-33650	305	21	zhu	zhu	PROPN
bracis-33650	305	22	,	,	PUNCT
bracis-33650	305	23	h.	h.	PROPN
bracis-33650	305	24	,	,	PUNCT
bracis-33650	305	25	lv	lv	PROPN
bracis-33650	305	26	,	,	PUNCT
bracis-33650	305	27	j.	j.	PROPN
bracis-33650	305	28	,	,	PUNCT
bracis-33650	305	29	zhou	zhou	PROPN
bracis-33650	305	30	,	,	PUNCT
bracis-33650	305	31	j.t	j.t	PROPN
bracis-33650	305	32	.	.	PROPN
bracis-33650	305	33	:	:	PUNCT
bracis-33650	305	34	xai	xai	PROPN
bracis-33650	305	35	beyond	beyond	ADP
bracis-33650	305	36	classification	classification	NOUN
bracis-33650	305	37	:	:	PUNCT
bracis-33650	305	38	interpretable	interpretable	ADJ
bracis-33650	305	39	neural	neural	ADJ
bracis-33650	305	40	clustering	clustering	NOUN
bracis-33650	305	41	.	.	PUNCT
bracis-33650	306	1	j.	j.	PROPN
bracis-33650	306	2	mach	mach	PROPN
bracis-33650	306	3	.	.	PUNCT
bracis-33650	307	1	learn	learn	VERB
bracis-33650	307	2	.	.	PUNCT
bracis-33650	308	1	res	re	NOUN
bracis-33650	308	2	.	.	PUNCT
bracis-33650	309	1	(	(	PUNCT
bracis-33650	309	2	2022	2022	NUM
bracis-33650	309	3	)	)	PUNCT
bracis-33650	309	4	google	google	NOUN
bracis-33650	309	5	scholar	scholar	NOUN
bracis-33650	309	6	  	  	SPACE
bracis-33650	309	7	pitonakova	pitonakova	PROPN
bracis-33650	309	8	,	,	PUNCT
bracis-33650	309	9	l.	l.	PROPN
bracis-33650	309	10	,	,	PUNCT
bracis-33650	309	11	bullock	bullock	PROPN
bracis-33650	309	12	,	,	PUNCT
bracis-33650	309	13	s.	s.	PROPN
bracis-33650	309	14	:	:	PUNCT
bracis-33650	309	15	the	the	DET
bracis-33650	309	16	robustness	robustness	NOUN
bracis-33650	309	17	-	-	PUNCT
bracis-33650	309	18	fidelity	fidelity	NOUN
bracis-33650	309	19	trade	trade	NOUN
bracis-33650	309	20	-	-	PUNCT
bracis-33650	309	21	off	off	NOUN
bracis-33650	309	22	in	in	ADP
bracis-33650	309	23	grow	grow	NOUN
bracis-33650	309	24	when	when	SCONJ
bracis-33650	309	25	required	require	VERB
bracis-33650	309	26	neural	neural	ADJ
bracis-33650	309	27	networks	network	NOUN
bracis-33650	309	28	performing	perform	VERB
bracis-33650	309	29	continuous	continuous	ADJ
bracis-33650	309	30	novelty	novelty	NOUN
bracis-33650	309	31	detection	detection	NOUN
bracis-33650	309	32	.	.	PUNCT
bracis-33650	310	1	neural	neural	ADJ
bracis-33650	310	2	networks	network	NOUN
bracis-33650	310	3	(	(	PUNCT
bracis-33650	310	4	2020	2020	NUM
bracis-33650	310	5	)	)	PUNCT
bracis-33650	310	6	google	google	PROPN
bracis-33650	310	7	scholar	scholar	NOUN
bracis-33650	310	8	  	  	SPACE
bracis-33650	310	9	puerto	puerto	PROPN
bracis-33650	310	10	-	-	PUNCT
bracis-33650	310	11	santana	santana	PROPN
bracis-33650	310	12	,	,	PUNCT
bracis-33650	310	13	c.	c.	PROPN
bracis-33650	310	14	,	,	PUNCT
bracis-33650	310	15	et	et	PROPN
bracis-33650	310	16	al	al	PROPN
bracis-33650	310	17	.	.	PROPN
bracis-33650	310	18	:	:	PUNCT
bracis-33650	310	19	asymmetric	asymmetric	ADJ
bracis-33650	310	20	hmms	hmms	NOUN
bracis-33650	310	21	for	for	ADP
bracis-33650	310	22	online	online	ADJ
bracis-33650	310	23	ball	ball	NOUN
bracis-33650	310	24	-	-	PUNCT
bracis-33650	310	25	bearing	bear	VERB
bracis-33650	310	26	health	health	NOUN
bracis-33650	310	27	assessments	assessment	NOUN
bracis-33650	310	28	.	.	PUNCT
bracis-33650	311	1	internet	internet	NOUN
bracis-33650	311	2	things	thing	NOUN
bracis-33650	311	3	j.	j.	PROPN
bracis-33650	311	4	9(20	9(20	NUM
bracis-33650	311	5	)	)	PUNCT
bracis-33650	311	6	,	,	PUNCT
bracis-33650	311	7	20160–20177	20160–20177	NUM
bracis-33650	311	8	(	(	PUNCT
bracis-33650	311	9	2022	2022	NUM
bracis-33650	311	10	)	)	PUNCT
bracis-33650	311	11	google	google	NOUN
bracis-33650	311	12	scholar	scholar	NOUN
bracis-33650	311	13	  	  	SPACE
bracis-33650	311	14	de	de	PROPN
bracis-33650	311	15	 	 	SPACE
bracis-33650	311	16	souza	souza	PROPN
bracis-33650	311	17	,	,	PUNCT
bracis-33650	311	18	m.c	m.c	PROPN
bracis-33650	311	19	.	.	PROPN
bracis-33650	311	20	,	,	PUNCT
bracis-33650	311	21	nogueira	nogueira	PROPN
bracis-33650	311	22	,	,	PUNCT
bracis-33650	311	23	b.m	b.m	PROPN
bracis-33650	311	24	.	.	PROPN
bracis-33650	311	25	,	,	PUNCT
bracis-33650	311	26	rossi	rossi	PROPN
bracis-33650	311	27	,	,	PUNCT
bracis-33650	311	28	r.g	r.g	PROPN
bracis-33650	311	29	.	.	PROPN
bracis-33650	311	30	,	,	PUNCT
bracis-33650	311	31	marcacini	marcacini	PROPN
bracis-33650	311	32	,	,	PUNCT
bracis-33650	311	33	r.m	r.m	PROPN
bracis-33650	311	34	.	.	PROPN
bracis-33650	311	35	,	,	PUNCT
bracis-33650	311	36	rezende	rezende	PROPN
bracis-33650	311	37	,	,	PUNCT
bracis-33650	311	38	s.o	s.o	PROPN
bracis-33650	311	39	.	.	PROPN
bracis-33650	311	40	:	:	PUNCT
bracis-33650	312	1	a	a	DET
bracis-33650	312	2	heterogeneous	heterogeneous	ADJ
bracis-33650	312	3	network	network	NOUN
bracis-33650	312	4	-	-	PUNCT
bracis-33650	312	5	based	base	VERB
bracis-33650	312	6	positive	positive	ADJ
bracis-33650	312	7	and	and	CCONJ
bracis-33650	312	8	unlabeled	unlabeled	ADJ
bracis-33650	312	9	learning	learn	VERB
bracis-33650	312	10	approach	approach	NOUN
bracis-33650	312	11	to	to	PART
bracis-33650	312	12	detect	detect	VERB
bracis-33650	312	13	fake	fake	ADJ
bracis-33650	312	14	news	news	NOUN
bracis-33650	312	15	.	.	PUNCT
bracis-33650	313	1	in	in	ADP
bracis-33650	313	2	:	:	PUNCT
bracis-33650	313	3	brazilian	brazilian	ADJ
bracis-33650	313	4	conference	conference	NOUN
bracis-33650	313	5	on	on	ADP
bracis-33650	313	6	intelligent	intelligent	ADJ
bracis-33650	313	7	systems	system	NOUN
bracis-33650	313	8	.	.	PUNCT
bracis-33650	314	1	springer	springer	NOUN
bracis-33650	314	2	(	(	PUNCT
bracis-33650	314	3	2021	2021	NUM
bracis-33650	314	4	)	)	PUNCT
bracis-33650	314	5	google	google	NOUN
bracis-33650	314	6	scholar	scholar	NOUN
bracis-33650	314	7	  	  	SPACE
bracis-33650	314	8	spinosa	spinosa	NOUN
bracis-33650	314	9	,	,	PUNCT
bracis-33650	314	10	e.j	e.j	PROPN
bracis-33650	314	11	.	.	PROPN
bracis-33650	314	12	,	,	PUNCT
bracis-33650	314	13	de	de	PROPN
bracis-33650	314	14	 	 	SPACE
bracis-33650	314	15	leon	leon	PROPN
bracis-33650	314	16	f.	f.	PROPN
bracis-33650	314	17	 	 	SPACE
bracis-33650	314	18	de	de	X
bracis-33650	314	19	carvalho	carvalho	PROPN
bracis-33650	314	20	,	,	PUNCT
bracis-33650	314	21	a.p	a.p	PROPN
bracis-33650	314	22	.	.	PROPN
bracis-33650	314	23	,	,	PUNCT
bracis-33650	314	24	gama	gama	PROPN
bracis-33650	314	25	,	,	PUNCT
bracis-33650	314	26	j.	j.	PROPN
bracis-33650	314	27	:	:	PUNCT
bracis-33650	314	28	olindda	olindda	ADV
bracis-33650	314	29	:	:	PUNCT
bracis-33650	314	30	a	a	DET
bracis-33650	314	31	cluster	cluster	NOUN
bracis-33650	314	32	-	-	PUNCT
bracis-33650	314	33	based	base	VERB
bracis-33650	314	34	approach	approach	NOUN
bracis-33650	314	35	for	for	ADP
bracis-33650	314	36	detecting	detect	VERB
bracis-33650	314	37	novelty	novelty	NOUN
bracis-33650	314	38	and	and	CCONJ
bracis-33650	314	39	concept	concept	NOUN
bracis-33650	314	40	drift	drift	NOUN
bracis-33650	314	41	in	in	ADP
bracis-33650	314	42	data	datum	NOUN
bracis-33650	314	43	streams	stream	NOUN
bracis-33650	314	44	.	.	PUNCT
bracis-33650	315	1	in	in	ADP
bracis-33650	315	2	:	:	PUNCT
bracis-33650	315	3	proceedings	proceeding	NOUN
bracis-33650	315	4	of	of	ADP
bracis-33650	315	5	the	the	DET
bracis-33650	315	6	2007	2007	NUM
bracis-33650	315	7	acm	acm	NOUN
bracis-33650	315	8	symposium	symposium	NOUN
bracis-33650	315	9	on	on	ADP
bracis-33650	315	10	applied	apply	VERB
bracis-33650	315	11	computing	computing	NOUN
bracis-33650	315	12	,	,	PUNCT
bracis-33650	315	13	pp	pp	ADJ
bracis-33650	315	14	.	.	PUNCT
bracis-33650	316	1	448–452	448–452	NUM
bracis-33650	316	2	(	(	PUNCT
bracis-33650	316	3	2007	2007	NUM
bracis-33650	316	4	)	)	PUNCT
bracis-33650	316	5	google	google	PROPN
bracis-33650	316	6	scholar	scholar	NOUN
bracis-33650	316	7	  	  	SPACE
bracis-33650	316	8	tang	tang	NOUN
bracis-33650	316	9	,	,	PUNCT
bracis-33650	316	10	j.	j.	PROPN
bracis-33650	316	11	,	,	PUNCT
bracis-33650	316	12	liao	liao	PROPN
bracis-33650	316	13	,	,	PUNCT
bracis-33650	316	14	r.	r.	PROPN
bracis-33650	316	15	:	:	PUNCT
bracis-33650	316	16	graph	graph	VERB
bracis-33650	316	17	neural	neural	ADJ
bracis-33650	316	18	networks	network	NOUN
bracis-33650	316	19	for	for	ADP
bracis-33650	316	20	node	node	ADJ
bracis-33650	316	21	classification	classification	NOUN
bracis-33650	316	22	.	.	PUNCT
bracis-33650	317	1	in	in	ADP
bracis-33650	317	2	:	:	PUNCT
bracis-33650	317	3	graph	graph	VERB
bracis-33650	317	4	neural	neural	ADJ
bracis-33650	317	5	networks	network	NOUN
bracis-33650	317	6	:	:	PUNCT
bracis-33650	317	7	foundations	foundation	NOUN
bracis-33650	317	8	,	,	PUNCT
bracis-33650	317	9	frontiers	frontier	NOUN
bracis-33650	317	10	,	,	PUNCT
bracis-33650	317	11	and	and	CCONJ
bracis-33650	317	12	applications	application	NOUN
bracis-33650	317	13	,	,	PUNCT
bracis-33650	317	14	pp	pp	ADV
bracis-33650	317	15	.	.	PUNCT
bracis-33650	318	1	41–61	41–61	NUM
bracis-33650	318	2	(	(	PUNCT
bracis-33650	318	3	2022	2022	NUM
bracis-33650	318	4	)	)	PUNCT
bracis-33650	318	5	google	google	NOUN
bracis-33650	318	6	scholar	scholar	NOUN
bracis-33650	318	7	  	  	SPACE
bracis-33650	318	8	togbe	togbe	NOUN
bracis-33650	318	9	,	,	PUNCT
bracis-33650	318	10	m.u	m.u	PROPN
bracis-33650	318	11	.	.	PROPN
bracis-33650	318	12	,	,	PUNCT
bracis-33650	318	13	et	et	PROPN
bracis-33650	318	14	al	al	PROPN
bracis-33650	318	15	.	.	PROPN
bracis-33650	318	16	:	:	PUNCT
bracis-33650	319	1	anomaly	anomaly	NOUN
bracis-33650	319	2	detection	detection	NOUN
bracis-33650	319	3	for	for	ADP
bracis-33650	319	4	data	datum	NOUN
bracis-33650	319	5	streams	stream	NOUN
bracis-33650	319	6	based	base	VERB
bracis-33650	319	7	on	on	ADP
bracis-33650	319	8	isolation	isolation	NOUN
bracis-33650	319	9	forest	forest	NOUN
bracis-33650	319	10	using	use	VERB
bracis-33650	319	11	scikit	scikit	NOUN
bracis-33650	319	12	-	-	PUNCT
bracis-33650	319	13	multiflow	multiflow	NOUN
bracis-33650	319	14	.	.	PUNCT
bracis-33650	320	1	in	in	ADP
bracis-33650	320	2	:	:	PUNCT
bracis-33650	320	3	gervasi	gervasi	NOUN
bracis-33650	320	4	,	,	PUNCT
bracis-33650	320	5	o.	o.	PROPN
bracis-33650	320	6	,	,	PUNCT
bracis-33650	320	7	et	et	PROPN
bracis-33650	320	8	al	al	PROPN
bracis-33650	320	9	.	.	PUNCT
bracis-33650	320	10	(	(	PUNCT
bracis-33650	320	11	eds	ed	NOUN
bracis-33650	320	12	.	.	PUNCT
bracis-33650	320	13	)	)	PUNCT
bracis-33650	320	14	iccsa	iccsa	VERB
bracis-33650	320	15	2020	2020	NUM
bracis-33650	320	16	.	.	PUNCT
bracis-33650	321	1	lncs	lncs	PROPN
bracis-33650	321	2	,	,	PUNCT
bracis-33650	321	3	vol	vol	NOUN
bracis-33650	321	4	.	.	PROPN
bracis-33650	321	5	12252	12252	NUM
bracis-33650	321	6	,	,	PUNCT
bracis-33650	321	7	pp	pp	ADP
bracis-33650	321	8	.	.	PUNCT
bracis-33650	322	1	15–30	15–30	NUM
bracis-33650	322	2	.	.	PUNCT
bracis-33650	323	1	springer	springer	NOUN
bracis-33650	323	2	,	,	PUNCT
bracis-33650	323	3	cham	cham	PROPN
bracis-33650	323	4	(	(	PUNCT
bracis-33650	323	5	2020	2020	NUM
bracis-33650	323	6	)	)	PUNCT
bracis-33650	323	7	.	.	PUNCT
bracis-33650	324	1	https://doi.org/10.1007/978-3-030-58811-3_2	https://doi.org/10.1007/978-3-030-58811-3_2	X
bracis-33650	324	2	veloso	veloso	PROPN
bracis-33650	324	3	,	,	PUNCT
bracis-33650	324	4	b.	b.	PROPN
bracis-33650	324	5	,	,	PUNCT
bracis-33650	324	6	gama	gama	PROPN
bracis-33650	324	7	,	,	PUNCT
bracis-33650	324	8	j.	j.	PROPN
bracis-33650	324	9	,	,	PUNCT
bracis-33650	324	10	malheiro	malheiro	PROPN
bracis-33650	324	11	,	,	PUNCT
bracis-33650	324	12	b.	b.	PROPN
bracis-33650	324	13	,	,	PUNCT
bracis-33650	324	14	vinagre	vinagre	PROPN
bracis-33650	324	15	,	,	PUNCT
bracis-33650	324	16	j.	j.	PROPN
bracis-33650	324	17	:	:	PUNCT
bracis-33650	324	18	hyperparameter	hyperparameter	NOUN
bracis-33650	324	19	self	self	NOUN
bracis-33650	324	20	-	-	PUNCT
bracis-33650	324	21	tuning	tuning	NOUN
bracis-33650	324	22	for	for	ADP
bracis-33650	324	23	data	datum	NOUN
bracis-33650	324	24	streams	stream	NOUN
bracis-33650	324	25	.	.	PUNCT
bracis-33650	325	1	inf	inf	PROPN
bracis-33650	325	2	.	.	PUNCT
bracis-33650	325	3	fusion	fusion	PROPN
bracis-33650	325	4	76	76	NUM
bracis-33650	325	5	,	,	PUNCT
bracis-33650	325	6	75–86	75–86	NUM
bracis-33650	325	7	(	(	PUNCT
bracis-33650	325	8	2021	2021	NUM
bracis-33650	325	9	)	)	PUNCT
bracis-33650	325	10	article	article	NOUN
bracis-33650	325	11	  	  	SPACE
bracis-33650	325	12	math	math	NOUN
bracis-33650	325	13	  	  	SPACE
bracis-33650	325	14	google	google	PROPN
bracis-33650	325	15	scholar	scholar	NOUN
bracis-33650	325	16	  	  	SPACE
bracis-33650	325	17	wang	wang	PROPN
bracis-33650	325	18	,	,	PUNCT
bracis-33650	325	19	x.	x.	PROPN
bracis-33650	325	20	,	,	PUNCT
bracis-33650	325	21	jin	jin	PROPN
bracis-33650	325	22	,	,	PUNCT
bracis-33650	325	23	b.	b.	PROPN
bracis-33650	325	24	,	,	PUNCT
bracis-33650	325	25	du	du	PROPN
bracis-33650	325	26	,	,	PUNCT
bracis-33650	325	27	y.	y.	PROPN
bracis-33650	325	28	,	,	PUNCT
bracis-33650	325	29	cui	cui	PROPN
bracis-33650	325	30	,	,	PUNCT
bracis-33650	325	31	p.	p.	PROPN
bracis-33650	325	32	,	,	PUNCT
bracis-33650	325	33	tan	tan	PROPN
bracis-33650	325	34	,	,	PUNCT
bracis-33650	325	35	y.	y.	PROPN
bracis-33650	325	36	,	,	PUNCT
bracis-33650	325	37	yang	yang	PROPN
bracis-33650	325	38	,	,	PUNCT
bracis-33650	325	39	y.	y.	NOUN
bracis-33650	325	40	:	:	PUNCT
bracis-33650	325	41	one	one	NUM
bracis-33650	325	42	-	-	PUNCT
bracis-33650	325	43	class	class	NOUN
bracis-33650	325	44	graph	graph	NOUN
bracis-33650	325	45	neural	neural	ADJ
bracis-33650	325	46	networks	network	NOUN
bracis-33650	325	47	for	for	ADP
bracis-33650	325	48	anomaly	anomaly	NOUN
bracis-33650	325	49	detection	detection	NOUN
bracis-33650	325	50	in	in	ADP
bracis-33650	325	51	attributed	attribute	VERB
bracis-33650	325	52	networks	network	NOUN
bracis-33650	325	53	.	.	PUNCT
bracis-33650	326	1	neural	neural	ADJ
bracis-33650	326	2	comput	comput	NOUN
bracis-33650	326	3	.	.	PUNCT
bracis-33650	327	1	appl	appl	PROPN
bracis-33650	327	2	.	.	PUNCT
bracis-33650	328	1	33(18	33(18	NUM
bracis-33650	328	2	)	)	PUNCT
bracis-33650	328	3	,	,	PUNCT
bracis-33650	328	4	12073–12085	12073–12085	NUM
bracis-33650	328	5	(	(	PUNCT
bracis-33650	328	6	2021	2021	NUM
bracis-33650	328	7	)	)	PUNCT
bracis-33650	328	8	.	.	PUNCT
bracis-33650	329	1	https://doi.org/10.1007/s00521-021-05924-9	https://doi.org/10.1007/s00521-021-05924-9	NUM
bracis-33650	329	2	article	article	NOUN
bracis-33650	329	3	  	  	SPACE
bracis-33650	329	4	math	math	NOUN
bracis-33650	329	5	  	  	SPACE
bracis-33650	329	6	google	google	PROPN
bracis-33650	329	7	scholar	scholar	NOUN
bracis-33650	329	8	  	  	SPACE
bracis-33650	329	9	xu	xu	PROPN
bracis-33650	329	10	,	,	PUNCT
bracis-33650	329	11	k.	k.	PROPN
bracis-33650	329	12	,	,	PUNCT
bracis-33650	329	13	hu	hu	PROPN
bracis-33650	329	14	,	,	PUNCT
bracis-33650	329	15	w.	w.	PROPN
bracis-33650	329	16	,	,	PUNCT
bracis-33650	329	17	leskovec	leskovec	PROPN
bracis-33650	329	18	,	,	PUNCT
bracis-33650	329	19	j.	j.	PROPN
bracis-33650	329	20	,	,	PUNCT
bracis-33650	329	21	jegelka	jegelka	PROPN
bracis-33650	329	22	,	,	PUNCT
bracis-33650	329	23	s.	s.	PROPN
bracis-33650	329	24	:	:	PUNCT
bracis-33650	329	25	how	how	SCONJ
bracis-33650	329	26	powerful	powerful	ADJ
bracis-33650	329	27	are	be	AUX
bracis-33650	329	28	graph	graph	VERB
bracis-33650	329	29	neural	neural	ADJ
bracis-33650	329	30	networks	network	NOUN
bracis-33650	329	31	?	?	PUNCT
bracis-33650	330	1	in	in	ADP
bracis-33650	330	2	:	:	PUNCT
bracis-33650	330	3	proceedings	proceeding	NOUN
bracis-33650	330	4	of	of	ADP
bracis-33650	330	5	the	the	DET
bracis-33650	330	6	international	international	ADJ
bracis-33650	330	7	conference	conference	NOUN
bracis-33650	330	8	on	on	ADP
bracis-33650	330	9	learning	learn	VERB
bracis-33650	330	10	representations	representation	NOUN
bracis-33650	330	11	.	.	PUNCT
bracis-33650	331	1	open	open	ADJ
bracis-33650	331	2	review	review	NOUN
bracis-33650	331	3	(	(	PUNCT
bracis-33650	331	4	2019	2019	NUM
bracis-33650	331	5	)	)	PUNCT
bracis-33650	331	6	google	google	PROPN
bracis-33650	331	7	scholar	scholar	NOUN
bracis-33650	331	8	  	  	SPACE
bracis-33650	331	9	zhang	zhang	PROPN
bracis-33650	331	10	,	,	PUNCT
bracis-33650	331	11	f.	f.	PROPN
bracis-33650	331	12	,	,	PUNCT
bracis-33650	331	13	fan	fan	PROPN
bracis-33650	331	14	,	,	PUNCT
bracis-33650	331	15	h.	h.	PROPN
bracis-33650	331	16	,	,	PUNCT
bracis-33650	331	17	wang	wang	PROPN
bracis-33650	331	18	,	,	PUNCT
bracis-33650	331	19	r.	r.	PROPN
bracis-33650	331	20	,	,	PUNCT
bracis-33650	331	21	li	li	PROPN
bracis-33650	331	22	,	,	PUNCT
bracis-33650	331	23	z.	z.	PROPN
bracis-33650	331	24	,	,	PUNCT
bracis-33650	331	25	liang	liang	PROPN
bracis-33650	331	26	,	,	PUNCT
bracis-33650	331	27	t.	t.	PROPN
bracis-33650	331	28	:	:	PUNCT
bracis-33650	331	29	deep	deep	ADJ
bracis-33650	331	30	dual	dual	ADJ
bracis-33650	331	31	support	support	NOUN
bracis-33650	331	32	vector	vector	NOUN
bracis-33650	331	33	data	datum	NOUN
bracis-33650	331	34	description	description	NOUN
bracis-33650	331	35	for	for	ADP
bracis-33650	331	36	anomaly	anomaly	NOUN
bracis-33650	331	37	detection	detection	NOUN
bracis-33650	331	38	on	on	ADP
bracis-33650	331	39	attributed	attribute	VERB
bracis-33650	331	40	networks	network	NOUN
bracis-33650	331	41	.	.	PUNCT
bracis-33650	332	1	int	int	NOUN
bracis-33650	332	2	.	.	PUNCT
bracis-33650	333	1	j.	j.	PROPN
bracis-33650	333	2	intell	intell	PROPN
bracis-33650	333	3	.	.	PUNCT
bracis-33650	334	1	syst	syst	PROPN
bracis-33650	334	2	.	.	PUNCT
bracis-33650	335	1	37(2	37(2	PROPN
bracis-33650	335	2	)	)	PUNCT
bracis-33650	335	3	,	,	PUNCT
bracis-33650	335	4	1509–1528	1509–1528	NUM
bracis-33650	335	5	(	(	PUNCT
bracis-33650	335	6	2022	2022	NUM
bracis-33650	335	7	)	)	PUNCT
bracis-33650	335	8	article	article	NOUN
bracis-33650	335	9	  	  	SPACE
bracis-33650	335	10	math	math	NOUN
bracis-33650	335	11	  	  	SPACE
bracis-33650	335	12	google	google	PROPN
bracis-33650	335	13	scholar	scholar	NOUN
bracis-33650	335	14	  	  	SPACE
bracis-33650	335	15	zheng	zheng	PROPN
bracis-33650	335	16	,	,	PUNCT
bracis-33650	335	17	y.	y.	PROPN
bracis-33650	335	18	,	,	PUNCT
bracis-33650	335	19	yi	yi	PROPN
bracis-33650	335	20	,	,	PUNCT
bracis-33650	335	21	l.	l.	PROPN
bracis-33650	335	22	,	,	PUNCT
bracis-33650	335	23	wei	wei	PROPN
bracis-33650	335	24	,	,	PUNCT
bracis-33650	335	25	z.	z.	PROPN
bracis-33650	335	26	:	:	PUNCT
bracis-33650	335	27	a	a	DET
bracis-33650	335	28	survey	survey	NOUN
bracis-33650	335	29	of	of	ADP
bracis-33650	335	30	dynamic	dynamic	ADJ
bracis-33650	335	31	graph	graph	NOUN
bracis-33650	335	32	neural	neural	ADJ
bracis-33650	335	33	networks	network	NOUN
bracis-33650	335	34	.	.	PUNCT
bracis-33650	336	1	arxiv	arxiv	PROPN
bracis-33650	336	2	preprint	preprint	PROPN
bracis-33650	336	3	arxiv:2404.18211	arxiv:2404.18211	NOUN
bracis-33650	336	4	(	(	PUNCT
bracis-33650	336	5	2024	2024	NUM
bracis-33650	336	6	)	)	PUNCT
bracis-33650	336	7	download	download	NOUN
bracis-33650	336	8	references	reference	NOUN
bracis-33650	336	9	acknowledgments	acknowledgment	NOUN
bracis-33650	336	10	this	this	DET
bracis-33650	336	11	work	work	NOUN
bracis-33650	336	12	was	be	AUX
bracis-33650	336	13	supported	support	VERB
bracis-33650	336	14	by	by	ADP
bracis-33650	336	15	coordenação	coordenação	PROPN
bracis-33650	336	16	de	de	PROPN
bracis-33650	336	17	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-33650	336	18	de	de	X
bracis-33650	336	19	pessoal	pessoal	PROPN
bracis-33650	336	20	de	de	PROPN
bracis-33650	336	21	nível	nível	PROPN
bracis-33650	336	22	superior	superior	ADJ
bracis-33650	336	23	(	(	PUNCT
bracis-33650	336	24	capes	cape	NOUN
bracis-33650	336	25	)	)	PUNCT
bracis-33650	336	26	grant	grant	VERB
bracis-33650	336	27	number	number	NOUN
bracis-33650	336	28	88887.671481/2022	88887.671481/2022	NOUN
bracis-33650	336	29	-	-	PUNCT
bracis-33650	336	30	00	00	NUM
bracis-33650	336	31	.	.	PUNCT
bracis-33650	337	1	also	also	ADV
bracis-33650	337	2	,	,	PUNCT
bracis-33650	337	3	this	this	DET
bracis-33650	337	4	work	work	NOUN
bracis-33650	337	5	was	be	AUX
bracis-33650	337	6	supported	support	VERB
bracis-33650	337	7	by	by	ADP
bracis-33650	337	8	latam	latam	PROPN
bracis-33650	337	9	google	google	PROPN
bracis-33650	337	10	ph.d	ph.d	PROPN
bracis-33650	337	11	.	.	PUNCT
bracis-33650	337	12	fellowship	fellowship	NOUN
bracis-33650	337	13	.	.	PUNCT
bracis-33650	338	1	finally	finally	ADV
bracis-33650	338	2	,	,	PUNCT
bracis-33650	338	3	we	we	PRON
bracis-33650	338	4	would	would	AUX
bracis-33650	338	5	like	like	VERB
bracis-33650	338	6	to	to	PART
bracis-33650	338	7	thank	thank	VERB
bracis-33650	338	8	google	google	PROPN
bracis-33650	338	9	tutor	tutor	PROPN
bracis-33650	338	10	mara	mara	PROPN
bracis-33650	338	11	finkelstein	finkelstein	PROPN
bracis-33650	338	12	for	for	ADP
bracis-33650	338	13	reviewing	review	VERB
bracis-33650	338	14	the	the	DET
bracis-33650	338	15	work	work	NOUN
bracis-33650	338	16	.	.	PUNCT
bracis-33650	339	1	author	author	NOUN
bracis-33650	339	2	information	information	NOUN
bracis-33650	339	3	authors	author	NOUN
bracis-33650	339	4	and	and	CCONJ
bracis-33650	339	5	affiliations	affiliation	NOUN
bracis-33650	339	6	institute	institute	PROPN
bracis-33650	339	7	of	of	ADP
bracis-33650	339	8	mathematical	mathematical	ADJ
bracis-33650	339	9	and	and	CCONJ
bracis-33650	339	10	computer	computer	NOUN
bracis-33650	339	11	sciences	science	NOUN
bracis-33650	339	12	,	,	PUNCT
bracis-33650	339	13	university	university	NOUN
bracis-33650	339	14	of	of	ADP
bracis-33650	339	15	sao	sao	PROPN
bracis-33650	339	16	paulo	paulo	PROPN
bracis-33650	339	17	,	,	PUNCT
bracis-33650	339	18	são	são	PROPN
bracis-33650	339	19	carlos	carlos	PROPN
bracis-33650	339	20	,	,	PUNCT
bracis-33650	339	21	são	são	PROPN
bracis-33650	339	22	paulo	paulo	PROPN
bracis-33650	339	23	,	,	PUNCT
bracis-33650	339	24	brazil	brazil	PROPN
bracis-33650	339	25	marcos	marcos	PROPN
bracis-33650	339	26	paulo	paulo	PROPN
bracis-33650	339	27	silva	silva	PROPN
bracis-33650	339	28	gôlo	gôlo	PROPN
bracis-33650	339	29	 	 	SPACE
bracis-33650	339	30	&	&	CCONJ
bracis-33650	339	31	 	 	SPACE
bracis-33650	339	32	ricardo	ricardo	PROPN
bracis-33650	339	33	marcondes	marconde	VERB
bracis-33650	339	34	marcacini	marcacini	PROPN
bracis-33650	339	35	institute	institute	PROPN
bracis-33650	339	36	for	for	ADP
bracis-33650	339	37	systems	system	NOUN
bracis-33650	339	38	and	and	CCONJ
bracis-33650	339	39	computer	computer	NOUN
bracis-33650	339	40	engineering	engineering	NOUN
bracis-33650	339	41	,	,	PUNCT
bracis-33650	339	42	technology	technology	NOUN
bracis-33650	339	43	and	and	CCONJ
bracis-33650	339	44	science	science	NOUN
bracis-33650	339	45	,	,	PUNCT
bracis-33650	339	46	university	university	NOUN
bracis-33650	339	47	of	of	ADP
bracis-33650	339	48	porto	porto	PROPN
bracis-33650	339	49	,	,	PUNCT
bracis-33650	339	50	porto	porto	PROPN
bracis-33650	339	51	,	,	PUNCT
bracis-33650	339	52	portugal	portugal	PROPN
bracis-33650	339	53	joão	joão	PROPN
bracis-33650	339	54	gama	gama	PROPN
bracis-33650	339	55	authors	author	NOUN
bracis-33650	339	56	marcos	marcos	PROPN
bracis-33650	339	57	paulo	paulo	PROPN
bracis-33650	339	58	silva	silva	PROPN
bracis-33650	339	59	gôloview	gôloview	PROPN
bracis-33650	339	60	author	author	NOUN
bracis-33650	339	61	publications	publication	NOUN
bracis-33650	339	62	search	search	NOUN
bracis-33650	339	63	author	author	NOUN
bracis-33650	339	64	on	on	ADP
bracis-33650	339	65	:	:	PUNCT
bracis-33650	339	66	pubmed	pubmed	PROPN
bracis-33650	339	67	 	 	SPACE
bracis-33650	339	68	google	google	PROPN
bracis-33650	339	69	scholar	scholar	NOUN
bracis-33650	339	70	joão	joão	PROPN
bracis-33650	339	71	gamaview	gamaview	PROPN
bracis-33650	339	72	author	author	NOUN
bracis-33650	339	73	publications	publication	NOUN
bracis-33650	339	74	search	search	NOUN
bracis-33650	339	75	author	author	NOUN
bracis-33650	339	76	on	on	ADP
bracis-33650	339	77	:	:	PUNCT
bracis-33650	339	78	pubmed	pubmed	PROPN
bracis-33650	339	79	 	 	SPACE
bracis-33650	339	80	google	google	PROPN
bracis-33650	339	81	scholar	scholar	PROPN
bracis-33650	339	82	ricardo	ricardo	PROPN
bracis-33650	339	83	marcondes	marconde	VERB
bracis-33650	339	84	marcaciniview	marcaciniview	ADJ
bracis-33650	339	85	author	author	NOUN
bracis-33650	339	86	publications	publication	NOUN
bracis-33650	339	87	search	search	NOUN
bracis-33650	339	88	author	author	NOUN
bracis-33650	339	89	on	on	ADP
bracis-33650	339	90	:	:	PUNCT
bracis-33650	339	91	pubmed	pubmed	PROPN
bracis-33650	339	92	 	 	SPACE
bracis-33650	339	93	google	google	PROPN
bracis-33650	339	94	scholar	scholar	NOUN
bracis-33650	339	95	corresponding	correspond	VERB
bracis-33650	339	96	author	author	NOUN
bracis-33650	339	97	correspondence	correspondence	NOUN
bracis-33650	339	98	to	to	ADP
bracis-33650	339	99	marcos	marcos	PROPN
bracis-33650	339	100	paulo	paulo	PROPN
bracis-33650	339	101	silva	silva	PROPN
bracis-33650	339	102	gôlo	gôlo	PROPN
bracis-33650	339	103	.	.	PUNCT
bracis-33650	340	1	editor	editor	NOUN
bracis-33650	340	2	information	information	NOUN
bracis-33650	340	3	editors	editor	NOUN
bracis-33650	340	4	and	and	CCONJ
bracis-33650	340	5	affiliations	affiliation	NOUN
bracis-33650	340	6	universidade	universidade	VERB
bracis-33650	340	7	federal	federal	PROPN
bracis-33650	340	8	fluminense	fluminense	PROPN
bracis-33650	340	9	,	,	PUNCT
bracis-33650	340	10	niterói	niterói	PROPN
bracis-33650	340	11	,	,	PUNCT
bracis-33650	340	12	brazil	brazil	PROPN
bracis-33650	340	13	aline	aline	PROPN
bracis-33650	340	14	paes	paes	PROPN
bracis-33650	340	15	instituto	instituto	PROPN
bracis-33650	340	16	tecnológico	tecnológico	PROPN
bracis-33650	340	17	de	de	PROPN
bracis-33650	340	18	aeronáutica	aeronáutica	PROPN
bracis-33650	340	19	,	,	PUNCT
bracis-33650	340	20	são	são	PROPN
bracis-33650	340	21	josé	josé	PROPN
bracis-33650	340	22	dos	dos	PROPN
bracis-33650	340	23	campos	campos	PROPN
bracis-33650	340	24	,	,	PUNCT
bracis-33650	340	25	brazil	brazil	PROPN
bracis-33650	340	26	filipe	filipe	PROPN
bracis-33650	340	27	a.	a.	PROPN
bracis-33650	340	28	n.	n.	PROPN
bracis-33650	340	29	verri	verri	PROPN
bracis-33650	340	30	rights	right	NOUN
bracis-33650	340	31	and	and	CCONJ
bracis-33650	340	32	permissions	permission	NOUN
bracis-33650	340	33	reprints	reprint	NOUN
bracis-33650	340	34	and	and	CCONJ
bracis-33650	340	35	permissions	permission	VERB
bracis-33650	340	36	copyright	copyright	NOUN
bracis-33650	340	37	information	information	NOUN
bracis-33650	340	38	©	©	ADP
bracis-33650	340	39	2025	2025	NUM
bracis-33650	340	40	the	the	DET
bracis-33650	340	41	author(s	author(s	NOUN
bracis-33650	340	42	)	)	PUNCT
bracis-33650	340	43	,	,	PUNCT
bracis-33650	340	44	under	under	ADP
bracis-33650	340	45	exclusive	exclusive	ADJ
bracis-33650	340	46	license	license	NOUN
bracis-33650	340	47	to	to	ADP
bracis-33650	340	48	springer	springer	NOUN
bracis-33650	340	49	nature	nature	PROPN
bracis-33650	340	50	switzerland	switzerland	PROPN
bracis-33650	340	51	ag	ag	PROPN
bracis-33650	340	52	about	about	ADP
bracis-33650	340	53	this	this	DET
bracis-33650	340	54	paper	paper	NOUN
bracis-33650	340	55	cite	cite	VERB
bracis-33650	340	56	this	this	DET
bracis-33650	340	57	paper	paper	NOUN
bracis-33650	340	58	silva	silva	NOUN
bracis-33650	340	59	gôlo	gôlo	PROPN
bracis-33650	340	60	,	,	PUNCT
bracis-33650	340	61	m.p	m.p	PROPN
bracis-33650	340	62	.	.	PROPN
bracis-33650	340	63	,	,	PUNCT
bracis-33650	340	64	gama	gama	PROPN
bracis-33650	340	65	,	,	PUNCT
bracis-33650	340	66	j.	j.	PROPN
bracis-33650	340	67	,	,	PUNCT
bracis-33650	340	68	marcondes	marconde	VERB
bracis-33650	340	69	marcacini	marcacini	PROPN
bracis-33650	340	70	,	,	PUNCT
bracis-33650	340	71	r.	r.	PROPN
bracis-33650	340	72	(	(	PUNCT
bracis-33650	340	73	2025	2025	NUM
bracis-33650	340	74	)	)	PUNCT
bracis-33650	340	75	.	.	PUNCT
bracis-33650	341	1	one	one	NUM
bracis-33650	341	2	-	-	PUNCT
bracis-33650	341	3	class	class	NOUN
bracis-33650	341	4	learning	learning	NOUN
bracis-33650	341	5	for	for	ADP
bracis-33650	341	6	 	 	SPACE
bracis-33650	341	7	data	datum	NOUN
bracis-33650	341	8	stream	stream	VERB
bracis-33650	341	9	through	through	ADP
bracis-33650	341	10	graph	graph	NOUN
bracis-33650	341	11	neural	neural	ADJ
bracis-33650	341	12	networks	network	NOUN
bracis-33650	341	13	.	.	PUNCT
bracis-33650	342	1	in	in	ADP
bracis-33650	342	2	:	:	PUNCT
bracis-33650	342	3	paes	paes	PROPN
bracis-33650	342	4	,	,	PUNCT
bracis-33650	342	5	a.	a.	PROPN
bracis-33650	342	6	,	,	PUNCT
bracis-33650	342	7	verri	verri	NOUN
bracis-33650	342	8	,	,	PUNCT
bracis-33650	342	9	f.a.n	f.a.n	ADJ
bracis-33650	342	10	.	.	PUNCT
bracis-33650	342	11	(	(	PUNCT
bracis-33650	342	12	eds	ed	NOUN
bracis-33650	342	13	)	)	PUNCT
bracis-33650	342	14	intelligent	intelligent	ADJ
bracis-33650	342	15	systems	system	NOUN
bracis-33650	342	16	.	.	PUNCT
bracis-33650	342	17	bracis	bracis	PROPN
bracis-33650	342	18	2024	2024	NUM
bracis-33650	342	19	.	.	PUNCT
bracis-33650	343	1	lecture	lecture	NOUN
bracis-33650	343	2	notes	note	NOUN
bracis-33650	343	3	in	in	ADP
bracis-33650	343	4	computer	computer	NOUN
bracis-33650	343	5	science	science	NOUN
bracis-33650	343	6	(	(	PUNCT
bracis-33650	343	7	)	)	PUNCT
bracis-33650	343	8	,	,	PUNCT
bracis-33650	343	9	vol	vol	NOUN
bracis-33650	343	10	15415	15415	NUM
bracis-33650	343	11	.	.	PUNCT
bracis-33650	344	1	springer	springer	NOUN
bracis-33650	344	2	,	,	PUNCT
bracis-33650	344	3	cham	cham	PROPN
bracis-33650	344	4	.	.	PUNCT
bracis-33650	345	1	https://doi.org/10.1007/978-3-031-79038-6_5	https://doi.org/10.1007/978-3-031-79038-6_5	PROPN
bracis-33650	345	2	download	download	NOUN
bracis-33650	345	3	citation	citation	NOUN
bracis-33650	345	4	.ris	.ris	PUNCT
bracis-33650	346	1	.enw	.enw	PROPN
bracis-33650	346	2	.bib	.bib	PUNCT
bracis-33650	347	1	doi	doi	PROPN
bracis-33650	347	2	:	:	PUNCT
bracis-33650	347	3	https://doi.org/10.1007/978-3-031-79038-6_5	https://doi.org/10.1007/978-3-031-79038-6_5	PUNCT
bracis-33650	347	4	published	publish	VERB
bracis-33650	347	5	:	:	PUNCT
bracis-33650	347	6	31	31	NUM
bracis-33650	347	7	january	january	PROPN
bracis-33650	347	8	2025	2025	NUM
bracis-33650	347	9	publisher	publisher	NOUN
bracis-33650	347	10	name	name	NOUN
bracis-33650	347	11	:	:	PUNCT
bracis-33650	347	12	springer	springer	NOUN
bracis-33650	347	13	,	,	PUNCT
bracis-33650	347	14	cham	cham	PROPN
bracis-33650	347	15	print	print	PROPN
bracis-33650	347	16	isbn	isbn	PROPN
bracis-33650	347	17	:	:	PUNCT
bracis-33650	347	18	978	978	NUM
bracis-33650	347	19	-	-	SYM
bracis-33650	347	20	3	3	NUM
bracis-33650	347	21	-	-	PUNCT
bracis-33650	347	22	031	031	NUM
bracis-33650	347	23	-	-	PUNCT
bracis-33650	347	24	79037	79037	NUM
bracis-33650	347	25	-	-	SYM
bracis-33650	347	26	9	9	NUM
bracis-33650	347	27	online	online	ADJ
bracis-33650	347	28	isbn	isbn	NOUN
bracis-33650	347	29	:	:	PUNCT
bracis-33650	347	30	978	978	NUM
bracis-33650	347	31	-	-	SYM
bracis-33650	347	32	3	3	NUM
bracis-33650	347	33	-	-	PUNCT
bracis-33650	347	34	031	031	NUM
bracis-33650	347	35	-	-	PUNCT
bracis-33650	347	36	79038	79038	NUM
bracis-33650	347	37	-	-	SYM
bracis-33650	347	38	6	6	NUM
bracis-33650	347	39	ebook	ebook	NOUN
bracis-33650	347	40	packages	package	NOUN
bracis-33650	347	41	:	:	PUNCT
bracis-33650	347	42	computer	computer	NOUN
bracis-33650	347	43	sciencecomputer	sciencecomputer	NOUN
bracis-33650	347	44	science	science	NOUN
bracis-33650	347	45	(	(	PUNCT
bracis-33650	347	46	r0	r0	NOUN
bracis-33650	347	47	)	)	PUNCT
bracis-33650	347	48	share	share	VERB
bracis-33650	347	49	this	this	DET
bracis-33650	347	50	paper	paper	NOUN
bracis-33650	347	51	anyone	anyone	PRON
bracis-33650	347	52	you	you	PRON
bracis-33650	347	53	share	share	VERB
bracis-33650	347	54	the	the	DET
bracis-33650	347	55	following	follow	VERB
bracis-33650	347	56	link	link	NOUN
bracis-33650	347	57	with	with	ADP
bracis-33650	347	58	will	will	AUX
bracis-33650	347	59	be	be	AUX
bracis-33650	347	60	able	able	ADJ
bracis-33650	347	61	to	to	PART
bracis-33650	347	62	read	read	VERB
bracis-33650	347	63	this	this	DET
bracis-33650	347	64	content	content	NOUN
bracis-33650	347	65	:	:	PUNCT
bracis-33650	347	66	get	get	VERB
bracis-33650	347	67	shareable	shareable	ADJ
bracis-33650	347	68	linksorry	linksorry	NOUN
bracis-33650	347	69	,	,	PUNCT
bracis-33650	347	70	a	a	DET
bracis-33650	347	71	shareable	shareable	ADJ
bracis-33650	347	72	link	link	NOUN
bracis-33650	347	73	is	be	AUX
bracis-33650	347	74	not	not	PART
bracis-33650	347	75	currently	currently	ADV
bracis-33650	347	76	available	available	ADJ
bracis-33650	347	77	for	for	ADP
bracis-33650	347	78	this	this	DET
bracis-33650	347	79	article	article	NOUN
bracis-33650	347	80	.	.	PUNCT
bracis-33650	348	1	copy	copy	VERB
bracis-33650	348	2	shareable	shareable	ADJ
bracis-33650	348	3	link	link	NOUN
bracis-33650	348	4	to	to	PART
bracis-33650	348	5	clipboard	clipboard	NOUN
bracis-33650	348	6	provided	provide	VERB
bracis-33650	348	7	by	by	ADP
bracis-33650	348	8	the	the	DET
bracis-33650	348	9	springer	springer	NOUN
bracis-33650	348	10	nature	nature	PROPN
bracis-33650	348	11	sharedit	sharedit	PROPN
bracis-33650	348	12	content	content	NOUN
bracis-33650	348	13	-	-	PUNCT
bracis-33650	348	14	sharing	share	VERB
bracis-33650	348	15	initiative	initiative	NOUN
bracis-33650	348	16	keywords	keyword	VERB
bracis-33650	348	17	one	one	NUM
bracis-33650	348	18	-	-	PUNCT
bracis-33650	348	19	class	class	NOUN
bracis-33650	348	20	classification	classification	NOUN
bracis-33650	348	21	graph	graph	NOUN
bracis-33650	348	22	representation	representation	NOUN
bracis-33650	348	23	learning	learn	VERB
bracis-33650	348	24	representation	representation	NOUN
bracis-33650	348	25	learning	learn	VERB
bracis-33650	348	26	for	for	ADP
bracis-33650	348	27	data	datum	NOUN
bracis-33650	348	28	stream	stream	NOUN
bracis-33650	348	29	publish	publish	NOUN
bracis-33650	348	30	with	with	ADP
bracis-33650	348	31	us	us	PROPN
bracis-33650	348	32	policies	policy	NOUN
bracis-33650	348	33	and	and	CCONJ
bracis-33650	348	34	ethics	ethic	NOUN
bracis-33650	348	35	profiles	profile	NOUN
bracis-33650	348	36	joão	joão	PROPN
bracis-33650	348	37	gama	gama	PROPN
bracis-33650	348	38	view	view	NOUN
bracis-33650	348	39	author	author	NOUN
bracis-33650	348	40	profile	profile	PROPN
bracis-33650	348	41	ricardo	ricardo	PROPN
bracis-33650	348	42	marcondes	marconde	VERB
bracis-33650	348	43	marcacini	marcacini	NOUN
bracis-33650	348	44	view	view	NOUN
bracis-33650	348	45	author	author	NOUN
bracis-33650	348	46	profile	profile	NOUN
bracis-33650	348	47	search	search	NOUN
bracis-33650	348	48	search	search	NOUN
bracis-33650	348	49	by	by	ADP
bracis-33650	348	50	keyword	keyword	NOUN
bracis-33650	348	51	or	or	CCONJ
bracis-33650	348	52	author	author	NOUN
bracis-33650	348	53	search	search	NOUN
bracis-33650	348	54	navigation	navigation	NOUN
bracis-33650	348	55	find	find	VERB
bracis-33650	348	56	a	a	DET
bracis-33650	348	57	journal	journal	NOUN
bracis-33650	348	58	publish	publish	VERB
bracis-33650	348	59	with	with	ADP
bracis-33650	348	60	us	we	PRON
bracis-33650	348	61	track	track	VERB
bracis-33650	348	62	your	your	PRON
bracis-33650	348	63	research	research	NOUN
bracis-33650	348	64	discover	discover	VERB
bracis-33650	348	65	content	content	NOUN
bracis-33650	348	66	journals	journal	NOUN
bracis-33650	348	67	a	a	DET
bracis-33650	348	68	-	-	PUNCT
bracis-33650	348	69	z	z	NOUN
bracis-33650	348	70	books	book	NOUN
bracis-33650	348	71	a	a	DET
bracis-33650	348	72	-	-	PUNCT
bracis-33650	348	73	z	z	NOUN
bracis-33650	348	74	publish	publish	NOUN
bracis-33650	348	75	with	with	ADP
bracis-33650	348	76	us	us	PROPN
bracis-33650	348	77	journal	journal	PROPN
bracis-33650	348	78	finder	finder	PROPN
bracis-33650	348	79	publish	publish	VERB
bracis-33650	348	80	your	your	PRON
bracis-33650	348	81	research	research	NOUN
bracis-33650	348	82	language	language	NOUN
bracis-33650	348	83	editing	edit	VERB
bracis-33650	348	84	open	open	ADJ
bracis-33650	348	85	access	access	NOUN
bracis-33650	348	86	publishing	publishing	NOUN
bracis-33650	348	87	products	product	NOUN
bracis-33650	348	88	and	and	CCONJ
bracis-33650	348	89	services	service	NOUN
bracis-33650	348	90	our	our	PRON
bracis-33650	348	91	products	product	NOUN
bracis-33650	348	92	librarians	librarian	VERB
bracis-33650	348	93	societies	society	NOUN
bracis-33650	348	94	partners	partner	NOUN
bracis-33650	348	95	and	and	CCONJ
bracis-33650	348	96	advertisers	advertiser	NOUN
bracis-33650	348	97	our	our	PRON
bracis-33650	348	98	brands	brand	NOUN
bracis-33650	348	99	springer	springer	NOUN
bracis-33650	348	100	nature	nature	PROPN
bracis-33650	348	101	portfolio	portfolio	PROPN
bracis-33650	348	102	bmc	bmc	PROPN
bracis-33650	348	103	palgrave	palgrave	PROPN
bracis-33650	348	104	macmillan	macmillan	PROPN
bracis-33650	348	105	apress	apress	PROPN
bracis-33650	348	106	discover	discover	VERB
bracis-33650	348	107	your	your	PRON
bracis-33650	348	108	privacy	privacy	NOUN
bracis-33650	348	109	choices	choice	NOUN
bracis-33650	348	110	/	/	SYM
bracis-33650	348	111	manage	manage	NOUN
bracis-33650	348	112	cookies	cookie	NOUN
bracis-33650	348	113	your	your	PRON
bracis-33650	348	114	us	us	PROPN
bracis-33650	349	1	state	state	NOUN
bracis-33650	349	2	privacy	privacy	NOUN
bracis-33650	349	3	rights	right	NOUN
bracis-33650	349	4	accessibility	accessibility	NOUN
bracis-33650	349	5	statement	statement	NOUN
bracis-33650	349	6	terms	term	NOUN
bracis-33650	349	7	and	and	CCONJ
bracis-33650	349	8	conditions	condition	NOUN
bracis-33650	349	9	privacy	privacy	NOUN
bracis-33650	349	10	policy	policy	NOUN
bracis-33650	349	11	help	help	NOUN
bracis-33650	349	12	and	and	CCONJ
bracis-33650	349	13	support	support	VERB
bracis-33650	349	14	legal	legal	ADJ
bracis-33650	349	15	notice	notice	NOUN
bracis-33650	349	16	cancel	cancel	VERB
bracis-33650	349	17	contracts	contract	NOUN
bracis-33650	349	18	here	here	ADV
bracis-33650	349	19	129.74.145.123	129.74.145.123	NUM
bracis-33650	349	20	hesburgh	hesburgh	PROPN
bracis-33650	349	21	library	library	PROPN
bracis-33650	349	22	er	er	INTJ
bracis-33650	349	23	unit	unit	NOUN
bracis-33650	349	24	(	(	PUNCT
bracis-33650	349	25	3005732405	3005732405	NUM
bracis-33650	349	26	)	)	PUNCT
bracis-33650	349	27	northeast	northeast	ADJ
bracis-33650	349	28	research	research	NOUN
bracis-33650	349	29	libraries	library	NOUN
bracis-33650	349	30	(	(	PUNCT
bracis-33650	349	31	nerl	nerl	PROPN
bracis-33650	349	32	)	)	PUNCT
bracis-33650	349	33	(	(	PUNCT
bracis-33650	349	34	8200828607	8200828607	NUM
bracis-33650	349	35	)	)	PUNCT
bracis-33650	349	36	nerl	nerl	VERB
bracis-33650	349	37	ta	ta	X
bracis-33650	349	38	account	account	NOUN
bracis-33650	349	39	(	(	PUNCT
bracis-33650	349	40	3006206169	3006206169	NUM
bracis-33650	349	41	)	)	PUNCT
bracis-33650	349	42	university	university	NOUN
bracis-33650	349	43	of	of	ADP
bracis-33650	349	44	notre	notre	PROPN
bracis-33650	349	45	dame	dame	PROPN
bracis-33650	349	46	hesburgh	hesburgh	PROPN
bracis-33650	349	47	library	library	NOUN
bracis-33650	349	48	(	(	PUNCT
bracis-33650	349	49	3000184373	3000184373	NUM
bracis-33650	349	50	)	)	PUNCT
bracis-33650	350	1	©	©	ADP
bracis-33650	350	2	2025	2025	NUM
bracis-33650	350	3	springer	springer	NOUN
bracis-33650	350	4	nature	nature	NOUN