id	sid	tid	token	lemma	pos
bracis-33558	1	1	analyzing	analyze	VERB
bracis-33558	1	2	the	the	DET
bracis-33558	1	3	 	 	SPACE
bracis-33558	1	4	impact	impact	NOUN
bracis-33558	1	5	of	of	ADP
bracis-33558	1	6	 	 	SPACE
bracis-33558	1	7	coarsening	coarsen	VERB
bracis-33558	1	8	on	on	ADP
bracis-33558	1	9	 	 	SPACE
bracis-33558	1	10	k	k	ADJ
bracis-33558	1	11	-	-	ADJ
bracis-33558	1	12	partite	partite	ADJ
bracis-33558	1	13	network	network	NOUN
bracis-33558	1	14	classification	classification	NOUN
bracis-33558	1	15	|	|	NOUN
bracis-33558	1	16	springer	springer	NOUN
bracis-33558	1	17	nature	nature	PROPN
bracis-33558	1	18	link	link	PROPN
bracis-33558	1	19	(	(	PUNCT
bracis-33558	1	20	formerly	formerly	ADV
bracis-33558	1	21	springerlink	springerlink	NOUN
bracis-33558	1	22	)	)	PUNCT
bracis-33558	1	23	skip	skip	VERB
bracis-33558	1	24	to	to	ADP
bracis-33558	1	25	main	main	ADJ
bracis-33558	1	26	content	content	NOUN
bracis-33558	1	27	advertisement	advertisement	NOUN
bracis-33558	1	28	log	log	NOUN
bracis-33558	1	29	in	in	ADP
bracis-33558	1	30	menu	menu	NOUN
bracis-33558	1	31	find	find	VERB
bracis-33558	1	32	a	a	DET
bracis-33558	1	33	journal	journal	NOUN
bracis-33558	1	34	publish	publish	VERB
bracis-33558	1	35	with	with	ADP
bracis-33558	1	36	us	we	PRON
bracis-33558	1	37	track	track	VERB
bracis-33558	1	38	your	your	PRON
bracis-33558	1	39	research	research	NOUN
bracis-33558	1	40	search	search	NOUN
bracis-33558	1	41	cart	cart	NOUN
bracis-33558	1	42	home	home	NOUN
bracis-33558	1	43	intelligent	intelligent	ADJ
bracis-33558	1	44	systems	system	NOUN
bracis-33558	1	45	conference	conference	NOUN
bracis-33558	1	46	paper	paper	NOUN
bracis-33558	1	47	analyzing	analyze	VERB
bracis-33558	1	48	the	the	DET
bracis-33558	1	49	 	 	SPACE
bracis-33558	1	50	impact	impact	NOUN
bracis-33558	1	51	of	of	ADP
bracis-33558	1	52	 	 	SPACE
bracis-33558	1	53	coarsening	coarsen	VERB
bracis-33558	1	54	on	on	ADP
bracis-33558	1	55	 	 	SPACE
bracis-33558	1	56	k	k	ADJ
bracis-33558	1	57	-	-	ADJ
bracis-33558	1	58	partite	partite	ADJ
bracis-33558	1	59	network	network	NOUN
bracis-33558	1	60	classification	classification	NOUN
bracis-33558	1	61	conference	conference	NOUN
bracis-33558	1	62	paper	paper	NOUN
bracis-33558	1	63	first	first	ADV
bracis-33558	1	64	online	online	ADV
bracis-33558	1	65	:	:	PUNCT
bracis-33558	1	66	30	30	NUM
bracis-33558	1	67	january	january	NOUN
bracis-33558	1	68	2025	2025	NUM
bracis-33558	1	69	pp	pp	CCONJ
bracis-33558	1	70	156–168	156–168	NUM
bracis-33558	1	71	cite	cite	VERB
bracis-33558	1	72	this	this	DET
bracis-33558	1	73	conference	conference	NOUN
bracis-33558	1	74	paper	paper	NOUN
bracis-33558	1	75	access	access	NOUN
bracis-33558	1	76	provided	provide	VERB
bracis-33558	1	77	by	by	ADP
bracis-33558	1	78	university	university	PROPN
bracis-33558	1	79	of	of	ADP
bracis-33558	1	80	notre	notre	PROPN
bracis-33558	1	81	dame	dame	PROPN
bracis-33558	1	82	hesburgh	hesburgh	PROPN
bracis-33558	1	83	library	library	PROPN
bracis-33558	1	84	download	download	PROPN
bracis-33558	1	85	book	book	NOUN
bracis-33558	1	86	pdf	pdf	PROPN
bracis-33558	1	87	download	download	NOUN
bracis-33558	1	88	book	book	NOUN
bracis-33558	1	89	epub	epub	PROPN
bracis-33558	1	90	intelligent	intelligent	ADJ
bracis-33558	1	91	systems	system	NOUN
bracis-33558	1	92	(	(	PUNCT
bracis-33558	1	93	bracis	bracis	NOUN
bracis-33558	1	94	2024	2024	NUM
bracis-33558	1	95	)	)	PUNCT
bracis-33558	1	96	analyzing	analyze	VERB
bracis-33558	1	97	the	the	DET
bracis-33558	1	98	 	 	SPACE
bracis-33558	1	99	impact	impact	NOUN
bracis-33558	1	100	of	of	ADP
bracis-33558	1	101	 	 	SPACE
bracis-33558	1	102	coarsening	coarsen	VERB
bracis-33558	1	103	on	on	ADP
bracis-33558	1	104	 	 	SPACE
bracis-33558	1	105	k	k	ADJ
bracis-33558	1	106	-	-	ADJ
bracis-33558	1	107	partite	partite	ADJ
bracis-33558	1	108	network	network	NOUN
bracis-33558	1	109	classification	classification	NOUN
bracis-33558	1	110	download	download	NOUN
bracis-33558	1	111	book	book	NOUN
bracis-33558	1	112	pdf	pdf	PROPN
bracis-33558	1	113	download	download	NOUN
bracis-33558	1	114	book	book	PROPN
bracis-33558	1	115	epub	epub	PROPN
bracis-33558	1	116	thiago	thiago	PROPN
bracis-33558	1	117	de	de	PROPN
bracis-33558	1	118	paulo	paulo	PROPN
bracis-33558	1	119	faleiros9	faleiros9	PROPN
bracis-33558	1	120	,	,	PUNCT
bracis-33558	1	121	paulo	paulo	PROPN
bracis-33558	1	122	eduardo	eduardo	PROPN
bracis-33558	1	123	althoff9	althoff9	PROPN
bracis-33558	1	124	&	&	CCONJ
bracis-33558	1	125	alan	alan	PROPN
bracis-33558	1	126	demétrius	demétrius	PROPN
bracis-33558	1	127	baria	baria	PROPN
bracis-33558	1	128	valejo10	valejo10	PROPN
bracis-33558	1	129	  	  	SPACE
bracis-33558	1	130	part	part	NOUN
bracis-33558	1	131	of	of	ADP
bracis-33558	1	132	the	the	DET
bracis-33558	1	133	book	book	NOUN
bracis-33558	1	134	series	series	NOUN
bracis-33558	1	135	:	:	PUNCT
bracis-33558	1	136	lecture	lecture	NOUN
bracis-33558	1	137	notes	note	NOUN
bracis-33558	1	138	in	in	ADP
bracis-33558	1	139	computer	computer	NOUN
bracis-33558	1	140	science	science	NOUN
bracis-33558	1	141	(	(	PUNCT
bracis-33558	1	142	(	(	PUNCT
bracis-33558	1	143	lnai	lnai	ADJ
bracis-33558	1	144	,	,	PUNCT
bracis-33558	1	145	volume	volume	NOUN
bracis-33558	1	146	15412	15412	NUM
bracis-33558	1	147	)	)	PUNCT
bracis-33558	1	148	)	)	PUNCT
bracis-33558	1	149	included	include	VERB
bracis-33558	1	150	in	in	ADP
bracis-33558	1	151	the	the	DET
bracis-33558	1	152	following	follow	VERB
bracis-33558	1	153	conference	conference	NOUN
bracis-33558	1	154	series	series	NOUN
bracis-33558	1	155	:	:	PUNCT
bracis-33558	1	156	brazilian	brazilian	ADJ
bracis-33558	1	157	conference	conference	NOUN
bracis-33558	1	158	on	on	ADP
bracis-33558	1	159	intelligent	intelligent	ADJ
bracis-33558	1	160	systems	system	NOUN
bracis-33558	1	161	480	480	NUM
bracis-33558	1	162	accesses	access	VERB
bracis-33558	1	163	abstract	abstract	ADV
bracis-33558	1	164	the	the	DET
bracis-33558	1	165	ever	ever	ADV
bracis-33558	1	166	-	-	PUNCT
bracis-33558	1	167	expanding	expand	VERB
bracis-33558	1	168	volume	volume	NOUN
bracis-33558	1	169	of	of	ADP
bracis-33558	1	170	data	datum	NOUN
bracis-33558	1	171	presents	present	VERB
bracis-33558	1	172	considerable	considerable	ADJ
bracis-33558	1	173	challenges	challenge	NOUN
bracis-33558	1	174	in	in	ADP
bracis-33558	1	175	storing	store	VERB
bracis-33558	1	176	and	and	CCONJ
bracis-33558	1	177	processing	process	VERB
bracis-33558	1	178	semi	semi	ADJ
bracis-33558	1	179	-	-	ADJ
bracis-33558	1	180	supervised	supervised	ADJ
bracis-33558	1	181	models	model	NOUN
bracis-33558	1	182	,	,	PUNCT
bracis-33558	1	183	hindering	hinder	VERB
bracis-33558	1	184	their	their	PRON
bracis-33558	1	185	practical	practical	ADJ
bracis-33558	1	186	implementation	implementation	NOUN
bracis-33558	1	187	.	.	PUNCT
bracis-33558	2	1	researchers	researcher	NOUN
bracis-33558	2	2	have	have	AUX
bracis-33558	2	3	explored	explore	VERB
bracis-33558	2	4	reducing	reduce	VERB
bracis-33558	2	5	network	network	NOUN
bracis-33558	2	6	versions	version	NOUN
bracis-33558	2	7	as	as	ADP
bracis-33558	2	8	a	a	DET
bracis-33558	2	9	potential	potential	ADJ
bracis-33558	2	10	solution	solution	NOUN
bracis-33558	2	11	.	.	PUNCT
bracis-33558	3	1	real	real	ADJ
bracis-33558	3	2	-	-	PUNCT
bracis-33558	3	3	world	world	NOUN
bracis-33558	3	4	networks	network	NOUN
bracis-33558	3	5	often	often	ADV
bracis-33558	3	6	comprise	comprise	VERB
bracis-33558	3	7	diverse	diverse	ADJ
bracis-33558	3	8	vertex	vertex	NOUN
bracis-33558	3	9	and	and	CCONJ
bracis-33558	3	10	edge	edge	NOUN
bracis-33558	3	11	types	type	NOUN
bracis-33558	3	12	,	,	PUNCT
bracis-33558	3	13	leading	lead	VERB
bracis-33558	3	14	to	to	ADP
bracis-33558	3	15	the	the	DET
bracis-33558	3	16	adoption	adoption	NOUN
bracis-33558	3	17	of	of	ADP
bracis-33558	3	18	k	k	ADJ
bracis-33558	3	19	-	-	ADJ
bracis-33558	3	20	partite	partite	ADJ
bracis-33558	3	21	network	network	NOUN
bracis-33558	3	22	representation	representation	NOUN
bracis-33558	3	23	.	.	PUNCT
bracis-33558	4	1	however	however	ADV
bracis-33558	4	2	,	,	PUNCT
bracis-33558	4	3	existing	existing	ADJ
bracis-33558	4	4	methods	method	NOUN
bracis-33558	4	5	have	have	AUX
bracis-33558	4	6	mainly	mainly	ADV
bracis-33558	4	7	focused	focus	VERB
bracis-33558	4	8	on	on	ADP
bracis-33558	4	9	reducing	reduce	VERB
bracis-33558	4	10	uni	uni	ADJ
bracis-33558	4	11	-	-	ADJ
bracis-33558	4	12	partite	partite	ADJ
bracis-33558	4	13	networks	network	NOUN
bracis-33558	4	14	with	with	ADP
bracis-33558	4	15	a	a	DET
bracis-33558	4	16	single	single	ADJ
bracis-33558	4	17	vertex	vertex	NOUN
bracis-33558	4	18	type	type	NOUN
bracis-33558	4	19	and	and	CCONJ
bracis-33558	4	20	edges	edge	NOUN
bracis-33558	4	21	.	.	PUNCT
bracis-33558	5	1	this	this	DET
bracis-33558	5	2	study	study	NOUN
bracis-33558	5	3	introduces	introduce	VERB
bracis-33558	5	4	a	a	DET
bracis-33558	5	5	novel	novel	ADJ
bracis-33558	5	6	coarsening	coarsening	NOUN
bracis-33558	5	7	method	method	NOUN
bracis-33558	5	8	designed	design	VERB
bracis-33558	5	9	explicitly	explicitly	ADV
bracis-33558	5	10	for	for	ADP
bracis-33558	5	11	k	k	ADJ
bracis-33558	5	12	-	-	ADJ
bracis-33558	5	13	partite	partite	ADJ
bracis-33558	5	14	networks	network	NOUN
bracis-33558	5	15	,	,	PUNCT
bracis-33558	5	16	aiming	aim	VERB
bracis-33558	5	17	to	to	PART
bracis-33558	5	18	preserve	preserve	VERB
bracis-33558	5	19	classification	classification	NOUN
bracis-33558	5	20	performance	performance	NOUN
bracis-33558	5	21	while	while	SCONJ
bracis-33558	5	22	addressing	address	VERB
bracis-33558	5	23	storage	storage	NOUN
bracis-33558	5	24	and	and	CCONJ
bracis-33558	5	25	processing	processing	NOUN
bracis-33558	5	26	issues	issue	NOUN
bracis-33558	5	27	.	.	PUNCT
bracis-33558	6	1	we	we	PRON
bracis-33558	6	2	conducted	conduct	VERB
bracis-33558	6	3	empirical	empirical	ADJ
bracis-33558	6	4	analyses	analysis	NOUN
bracis-33558	6	5	on	on	ADP
bracis-33558	6	6	synthetically	synthetically	ADV
bracis-33558	6	7	generated	generate	VERB
bracis-33558	6	8	networks	network	NOUN
bracis-33558	6	9	to	to	PART
bracis-33558	6	10	evaluate	evaluate	VERB
bracis-33558	6	11	their	their	PRON
bracis-33558	6	12	effectiveness	effectiveness	NOUN
bracis-33558	6	13	.	.	PUNCT
bracis-33558	7	1	the	the	DET
bracis-33558	7	2	results	result	NOUN
bracis-33558	7	3	demonstrate	demonstrate	VERB
bracis-33558	7	4	the	the	DET
bracis-33558	7	5	potential	potential	NOUN
bracis-33558	7	6	of	of	ADP
bracis-33558	7	7	coarsening	coarsen	VERB
bracis-33558	7	8	techniques	technique	NOUN
bracis-33558	7	9	in	in	ADP
bracis-33558	7	10	overcoming	overcome	VERB
bracis-33558	7	11	storage	storage	NOUN
bracis-33558	7	12	and	and	CCONJ
bracis-33558	7	13	processing	processing	NOUN
bracis-33558	7	14	challenges	challenge	NOUN
bracis-33558	7	15	posed	pose	VERB
bracis-33558	7	16	by	by	ADP
bracis-33558	7	17	large	large	ADJ
bracis-33558	7	18	networks	network	NOUN
bracis-33558	7	19	.	.	PUNCT
bracis-33558	8	1	the	the	DET
bracis-33558	8	2	proposed	propose	VERB
bracis-33558	8	3	coarsening	coarsen	VERB
bracis-33558	8	4	algorithm	algorithm	NOUN
bracis-33558	8	5	significantly	significantly	ADV
bracis-33558	8	6	improved	improve	VERB
bracis-33558	8	7	storage	storage	NOUN
bracis-33558	8	8	efficiency	efficiency	NOUN
bracis-33558	8	9	and	and	CCONJ
bracis-33558	8	10	classification	classification	NOUN
bracis-33558	8	11	runtime	runtime	NOUN
bracis-33558	8	12	,	,	PUNCT
bracis-33558	8	13	even	even	ADV
bracis-33558	8	14	with	with	ADP
bracis-33558	8	15	moderate	moderate	ADJ
bracis-33558	8	16	reductions	reduction	NOUN
bracis-33558	8	17	in	in	ADP
bracis-33558	8	18	the	the	DET
bracis-33558	8	19	number	number	NOUN
bracis-33558	8	20	of	of	ADP
bracis-33558	8	21	vertices	vertex	NOUN
bracis-33558	8	22	.	.	PUNCT
bracis-33558	9	1	this	this	PRON
bracis-33558	9	2	led	lead	VERB
bracis-33558	9	3	to	to	ADP
bracis-33558	9	4	over	over	ADP
bracis-33558	9	5	one	one	NUM
bracis-33558	9	6	-	-	PUNCT
bracis-33558	9	7	third	third	NOUN
bracis-33558	9	8	savings	saving	NOUN
bracis-33558	9	9	in	in	ADP
bracis-33558	9	10	storage	storage	NOUN
bracis-33558	9	11	space	space	NOUN
bracis-33558	9	12	and	and	CCONJ
bracis-33558	9	13	a	a	DET
bracis-33558	9	14	twofold	twofold	NOUN
bracis-33558	9	15	increase	increase	NOUN
bracis-33558	9	16	in	in	ADP
bracis-33558	9	17	classification	classification	NOUN
bracis-33558	9	18	speed	speed	NOUN
bracis-33558	9	19	.	.	PUNCT
bracis-33558	10	1	moreover	moreover	ADV
bracis-33558	10	2	,	,	PUNCT
bracis-33558	10	3	the	the	DET
bracis-33558	10	4	classification	classification	NOUN
bracis-33558	10	5	performance	performance	NOUN
bracis-33558	10	6	metrics	metric	NOUN
bracis-33558	10	7	exhibited	exhibit	VERB
bracis-33558	10	8	low	low	ADJ
bracis-33558	10	9	variation	variation	NOUN
bracis-33558	10	10	on	on	ADP
bracis-33558	10	11	average	average	ADJ
bracis-33558	10	12	,	,	PUNCT
bracis-33558	10	13	indicating	indicate	VERB
bracis-33558	10	14	the	the	DET
bracis-33558	10	15	algorithm	algorithm	NOUN
bracis-33558	10	16	’s	’s	PART
bracis-33558	10	17	robustness	robustness	NOUN
bracis-33558	10	18	and	and	CCONJ
bracis-33558	10	19	reliability	reliability	NOUN
bracis-33558	10	20	in	in	ADP
bracis-33558	10	21	various	various	ADJ
bracis-33558	10	22	scenarios	scenario	NOUN
bracis-33558	10	23	.	.	PUNCT
bracis-33558	11	1	access	access	NOUN
bracis-33558	11	2	provided	provide	VERB
bracis-33558	11	3	by	by	ADP
bracis-33558	11	4	university	university	PROPN
bracis-33558	11	5	of	of	ADP
bracis-33558	11	6	notre	notre	PROPN
bracis-33558	11	7	dame	dame	PROPN
bracis-33558	11	8	hesburgh	hesburgh	PROPN
bracis-33558	11	9	library	library	PROPN
bracis-33558	11	10	.	.	PUNCT
bracis-33558	12	1	download	download	PROPN
bracis-33558	12	2	conference	conference	NOUN
bracis-33558	12	3	paper	paper	NOUN
bracis-33558	12	4	pdf	pdf	NOUN
bracis-33558	12	5	similar	similar	ADJ
bracis-33558	12	6	content	content	NOUN
bracis-33558	12	7	being	be	AUX
bracis-33558	12	8	viewed	view	VERB
bracis-33558	12	9	by	by	ADP
bracis-33558	12	10	others	other	NOUN
bracis-33558	12	11	coarsening	coarsen	VERB
bracis-33558	12	12	effects	effect	NOUN
bracis-33558	12	13	on	on	ADP
bracis-33558	12	14	k	k	ADJ
bracis-33558	12	15	-	-	ADJ
bracis-33558	12	16	partite	partite	ADJ
bracis-33558	12	17	network	network	NOUN
bracis-33558	12	18	classification	classification	NOUN
bracis-33558	12	19	article	article	NOUN
bracis-33558	12	20	open	open	VERB
bracis-33558	12	21	access	access	NOUN
bracis-33558	12	22	05	05	NUM
bracis-33558	12	23	december	december	PROPN
bracis-33558	12	24	2023	2023	NUM
bracis-33558	12	25	coarsening	coarsen	VERB
bracis-33558	12	26	algorithm	algorithm	NOUN
bracis-33558	12	27	via	via	ADP
bracis-33558	12	28	semi	semi	ADJ
bracis-33558	12	29	-	-	ADJ
bracis-33558	12	30	synchronous	synchronous	ADJ
bracis-33558	12	31	label	label	NOUN
bracis-33558	12	32	propagation	propagation	NOUN
bracis-33558	12	33	for	for	ADP
bracis-33558	12	34	bipartite	bipartite	PROPN
bracis-33558	12	35	networks	network	NOUN
bracis-33558	12	36	chapter	chapter	NOUN
bracis-33558	12	37	©	©	PROPN
bracis-33558	12	38	2021	2021	NUM
bracis-33558	12	39	effective	effective	ADJ
bracis-33558	12	40	k	k	ADJ
bracis-33558	12	41	-	-	PUNCT
bracis-33558	12	42	vertex	vertex	NOUN
bracis-33558	12	43	connected	connect	VERB
bracis-33558	12	44	component	component	NOUN
bracis-33558	12	45	detection	detection	NOUN
bracis-33558	12	46	in	in	ADP
bracis-33558	12	47	large	large	ADJ
bracis-33558	12	48	-	-	PUNCT
bracis-33558	12	49	scale	scale	NOUN
bracis-33558	12	50	networks	network	NOUN
bracis-33558	12	51	chapter	chapter	NOUN
bracis-33558	12	52	©	©	PROPN
bracis-33558	12	53	2017	2017	NUM
bracis-33558	12	54	1	1	NUM
bracis-33558	12	55	introduction	introduction	NOUN
bracis-33558	12	56	semi	semi	ADJ
bracis-33558	12	57	-	-	ADJ
bracis-33558	12	58	supervised	supervised	ADJ
bracis-33558	12	59	learning	learning	NOUN
bracis-33558	12	60	has	have	AUX
bracis-33558	12	61	emerged	emerge	VERB
bracis-33558	12	62	as	as	ADP
bracis-33558	12	63	a	a	DET
bracis-33558	12	64	practical	practical	ADJ
bracis-33558	12	65	approach	approach	NOUN
bracis-33558	12	66	for	for	ADP
bracis-33558	12	67	leveraging	leverage	VERB
bracis-33558	12	68	labeled	label	VERB
bracis-33558	12	69	data	datum	NOUN
bracis-33558	12	70	to	to	PART
bracis-33558	12	71	guide	guide	VERB
bracis-33558	12	72	a	a	DET
bracis-33558	12	73	supervisor	supervisor	NOUN
bracis-33558	12	74	’s	’s	PART
bracis-33558	12	75	response	response	NOUN
bracis-33558	12	76	.	.	PUNCT
bracis-33558	13	1	these	these	DET
bracis-33558	13	2	methods	method	NOUN
bracis-33558	13	3	harness	harness	NOUN
bracis-33558	13	4	both	both	CCONJ
bracis-33558	13	5	labeled	label	VERB
bracis-33558	13	6	and	and	CCONJ
bracis-33558	13	7	unlabeled	unlabeled	ADJ
bracis-33558	13	8	data	datum	NOUN
bracis-33558	13	9	to	to	PART
bracis-33558	13	10	facilitate	facilitate	VERB
bracis-33558	13	11	the	the	DET
bracis-33558	13	12	learning	learning	NOUN
bracis-33558	13	13	process	process	NOUN
bracis-33558	13	14	.	.	PUNCT
bracis-33558	14	1	such	such	ADJ
bracis-33558	14	2	algorithms	algorithm	NOUN
bracis-33558	14	3	consider	consider	VERB
bracis-33558	14	4	the	the	DET
bracis-33558	14	5	connections	connection	NOUN
bracis-33558	14	6	between	between	ADP
bracis-33558	14	7	labeled	label	VERB
bracis-33558	14	8	and	and	CCONJ
bracis-33558	14	9	unlabeled	unlabeled	ADJ
bracis-33558	14	10	data	datum	NOUN
bracis-33558	14	11	to	to	PART
bracis-33558	14	12	compensate	compensate	VERB
bracis-33558	14	13	for	for	ADP
bracis-33558	14	14	the	the	DET
bracis-33558	14	15	absence	absence	NOUN
bracis-33558	14	16	of	of	ADP
bracis-33558	14	17	labels	label	NOUN
bracis-33558	14	18	[	[	X
bracis-33558	14	19	1	1	NUM
bracis-33558	14	20	]	]	PUNCT
bracis-33558	14	21	.	.	PUNCT
bracis-33558	15	1	presenting	present	VERB
bracis-33558	15	2	data	datum	NOUN
bracis-33558	15	3	in	in	ADP
bracis-33558	15	4	the	the	DET
bracis-33558	15	5	form	form	NOUN
bracis-33558	15	6	of	of	ADP
bracis-33558	15	7	networks	network	NOUN
bracis-33558	15	8	further	far	ADV
bracis-33558	15	9	enhances	enhance	VERB
bracis-33558	15	10	the	the	DET
bracis-33558	15	11	potential	potential	NOUN
bracis-33558	15	12	of	of	ADP
bracis-33558	15	13	semi	semi	ADJ
bracis-33558	15	14	-	-	ADJ
bracis-33558	15	15	supervised	supervised	ADJ
bracis-33558	15	16	techniques	technique	NOUN
bracis-33558	15	17	,	,	PUNCT
bracis-33558	15	18	as	as	SCONJ
bracis-33558	15	19	it	it	PRON
bracis-33558	15	20	enables	enable	VERB
bracis-33558	15	21	the	the	DET
bracis-33558	15	22	extraction	extraction	NOUN
bracis-33558	15	23	of	of	ADP
bracis-33558	15	24	relationships	relationship	NOUN
bracis-33558	15	25	from	from	ADP
bracis-33558	15	26	the	the	DET
bracis-33558	15	27	topological	topological	ADJ
bracis-33558	15	28	attributes	attribute	NOUN
bracis-33558	15	29	of	of	ADP
bracis-33558	15	30	labeled	label	VERB
bracis-33558	15	31	and	and	CCONJ
bracis-33558	15	32	unlabeled	unlabeled	ADJ
bracis-33558	15	33	data	datum	NOUN
bracis-33558	15	34	[	[	X
bracis-33558	15	35	2	2	NUM
bracis-33558	15	36	]	]	PUNCT
bracis-33558	15	37	.	.	PUNCT
bracis-33558	16	1	while	while	SCONJ
bracis-33558	16	2	the	the	DET
bracis-33558	16	3	semi	semi	ADJ
bracis-33558	16	4	-	-	ADJ
bracis-33558	16	5	supervised	supervised	ADJ
bracis-33558	16	6	approach	approach	NOUN
bracis-33558	16	7	has	have	AUX
bracis-33558	16	8	offered	offer	VERB
bracis-33558	16	9	a	a	DET
bracis-33558	16	10	solution	solution	NOUN
bracis-33558	16	11	to	to	PART
bracis-33558	16	12	reduce	reduce	VERB
bracis-33558	16	13	the	the	DET
bracis-33558	16	14	reliance	reliance	NOUN
bracis-33558	16	15	on	on	ADP
bracis-33558	16	16	human	human	ADJ
bracis-33558	16	17	intervention	intervention	NOUN
bracis-33558	16	18	,	,	PUNCT
bracis-33558	16	19	a	a	DET
bracis-33558	16	20	significant	significant	ADJ
bracis-33558	16	21	challenge	challenge	NOUN
bracis-33558	16	22	persists	persist	VERB
bracis-33558	16	23	.	.	PUNCT
bracis-33558	17	1	as	as	SCONJ
bracis-33558	17	2	the	the	DET
bracis-33558	17	3	volume	volume	NOUN
bracis-33558	17	4	of	of	ADP
bracis-33558	17	5	data	datum	NOUN
bracis-33558	17	6	grows	grow	VERB
bracis-33558	17	7	,	,	PUNCT
bracis-33558	17	8	the	the	DET
bracis-33558	17	9	storage	storage	NOUN
bracis-33558	17	10	cost	cost	NOUN
bracis-33558	17	11	and	and	CCONJ
bracis-33558	17	12	computational	computational	ADJ
bracis-33558	17	13	processing	processing	NOUN
bracis-33558	17	14	time	time	NOUN
bracis-33558	17	15	required	require	VERB
bracis-33558	17	16	to	to	PART
bracis-33558	17	17	train	train	VERB
bracis-33558	17	18	a	a	DET
bracis-33558	17	19	semi	semi	ADJ
bracis-33558	17	20	-	-	ADJ
bracis-33558	17	21	supervised	supervised	ADJ
bracis-33558	17	22	model	model	NOUN
bracis-33558	17	23	can	can	AUX
bracis-33558	17	24	become	become	VERB
bracis-33558	17	25	prohibitive	prohibitive	ADJ
bracis-33558	17	26	,	,	PUNCT
bracis-33558	17	27	rendering	render	VERB
bracis-33558	17	28	it	it	PRON
bracis-33558	17	29	impractical	impractical	ADJ
bracis-33558	17	30	for	for	ADP
bracis-33558	17	31	specific	specific	ADJ
bracis-33558	17	32	applications	application	NOUN
bracis-33558	17	33	[	[	X
bracis-33558	17	34	3	3	NUM
bracis-33558	17	35	]	]	PUNCT
bracis-33558	17	36	.	.	PUNCT
bracis-33558	18	1	to	to	PART
bracis-33558	18	2	address	address	VERB
bracis-33558	18	3	these	these	DET
bracis-33558	18	4	limitations	limitation	NOUN
bracis-33558	18	5	,	,	PUNCT
bracis-33558	18	6	researchers	researcher	NOUN
bracis-33558	18	7	have	have	AUX
bracis-33558	18	8	extensively	extensively	ADV
bracis-33558	18	9	explored	explore	VERB
bracis-33558	18	10	a	a	DET
bracis-33558	18	11	technique	technique	NOUN
bracis-33558	18	12	involving	involve	VERB
bracis-33558	18	13	reduced	reduce	VERB
bracis-33558	18	14	versions	version	NOUN
bracis-33558	18	15	of	of	ADP
bracis-33558	18	16	networks	network	NOUN
bracis-33558	18	17	instead	instead	ADV
bracis-33558	18	18	of	of	ADP
bracis-33558	18	19	the	the	DET
bracis-33558	18	20	original	original	ADJ
bracis-33558	18	21	ones	one	NOUN
bracis-33558	18	22	[	[	X
bracis-33558	18	23	4	4	NUM
bracis-33558	18	24	]	]	PUNCT
bracis-33558	18	25	.	.	PUNCT
bracis-33558	19	1	this	this	DET
bracis-33558	19	2	approach	approach	NOUN
bracis-33558	19	3	minimizes	minimize	VERB
bracis-33558	19	4	storage	storage	NOUN
bracis-33558	19	5	requirements	requirement	NOUN
bracis-33558	19	6	,	,	PUNCT
bracis-33558	19	7	improving	improve	VERB
bracis-33558	19	8	algorithm	algorithm	NOUN
bracis-33558	19	9	performance	performance	NOUN
bracis-33558	19	10	compared	compare	VERB
bracis-33558	19	11	to	to	ADP
bracis-33558	19	12	a	a	DET
bracis-33558	19	13	full	full	ADJ
bracis-33558	19	14	-	-	PUNCT
bracis-33558	19	15	sized	sized	ADJ
bracis-33558	19	16	network	network	NOUN
bracis-33558	19	17	.	.	PUNCT
bracis-33558	20	1	one	one	NUM
bracis-33558	20	2	notable	notable	ADJ
bracis-33558	20	3	category	category	NOUN
bracis-33558	20	4	within	within	ADP
bracis-33558	20	5	these	these	DET
bracis-33558	20	6	techniques	technique	NOUN
bracis-33558	20	7	is	be	AUX
bracis-33558	20	8	the	the	DET
bracis-33558	20	9	employment	employment	NOUN
bracis-33558	20	10	of	of	ADP
bracis-33558	20	11	coarsening	coarsen	VERB
bracis-33558	20	12	algorithms	algorithm	NOUN
bracis-33558	20	13	,	,	PUNCT
bracis-33558	20	14	which	which	PRON
bracis-33558	20	15	group	group	NOUN
bracis-33558	20	16	similar	similar	ADJ
bracis-33558	20	17	vertices	vertex	NOUN
bracis-33558	20	18	together	together	ADV
bracis-33558	20	19	,	,	PUNCT
bracis-33558	20	20	effectively	effectively	ADV
bracis-33558	20	21	reducing	reduce	VERB
bracis-33558	20	22	redundant	redundant	ADJ
bracis-33558	20	23	information	information	NOUN
bracis-33558	20	24	.	.	PUNCT
bracis-33558	21	1	coarsening	coarsening	NOUN
bracis-33558	21	2	has	have	AUX
bracis-33558	21	3	long	long	ADV
bracis-33558	21	4	been	be	AUX
bracis-33558	21	5	established	establish	VERB
bracis-33558	21	6	in	in	ADP
bracis-33558	21	7	visualization	visualization	NOUN
bracis-33558	21	8	and	and	CCONJ
bracis-33558	21	9	graph	graph	NOUN
bracis-33558	21	10	partitioning	partition	VERB
bracis-33558	21	11	[	[	X
bracis-33558	21	12	5	5	NUM
bracis-33558	21	13	]	]	PUNCT
bracis-33558	21	14	,	,	PUNCT
bracis-33558	21	15	and	and	CCONJ
bracis-33558	21	16	more	more	ADV
bracis-33558	21	17	recently	recently	ADV
bracis-33558	21	18	,	,	PUNCT
bracis-33558	21	19	it	it	PRON
bracis-33558	21	20	has	have	AUX
bracis-33558	21	21	demonstrated	demonstrate	VERB
bracis-33558	21	22	its	its	PRON
bracis-33558	21	23	efficacy	efficacy	NOUN
bracis-33558	21	24	in	in	ADP
bracis-33558	21	25	solving	solve	VERB
bracis-33558	21	26	classification	classification	NOUN
bracis-33558	21	27	problems	problem	NOUN
bracis-33558	21	28	in	in	ADP
bracis-33558	21	29	homogeneous	homogeneous	ADJ
bracis-33558	21	30	networks	network	NOUN
bracis-33558	21	31	[	[	X
bracis-33558	21	32	6	6	NUM
bracis-33558	21	33	]	]	PUNCT
bracis-33558	21	34	.	.	PUNCT
bracis-33558	22	1	however	however	ADV
bracis-33558	22	2	,	,	PUNCT
bracis-33558	22	3	most	most	ADJ
bracis-33558	22	4	of	of	ADP
bracis-33558	22	5	these	these	DET
bracis-33558	22	6	methods	method	NOUN
bracis-33558	22	7	concentrate	concentrate	VERB
bracis-33558	22	8	on	on	ADP
bracis-33558	22	9	analyzing	analyze	VERB
bracis-33558	22	10	networks	network	NOUN
bracis-33558	22	11	with	with	ADP
bracis-33558	22	12	a	a	DET
bracis-33558	22	13	singular	singular	ADJ
bracis-33558	22	14	type	type	NOUN
bracis-33558	22	15	of	of	ADP
bracis-33558	22	16	vertex	vertex	NOUN
bracis-33558	22	17	and	and	CCONJ
bracis-33558	22	18	edge	edge	NOUN
bracis-33558	22	19	,	,	PUNCT
bracis-33558	22	20	referred	refer	VERB
bracis-33558	22	21	to	to	ADP
bracis-33558	22	22	as	as	ADP
bracis-33558	22	23	uni	uni	ADJ
bracis-33558	22	24	-	-	ADJ
bracis-33558	22	25	partite	partite	ADJ
bracis-33558	22	26	networks	network	NOUN
bracis-33558	22	27	.	.	PUNCT
bracis-33558	23	1	in	in	ADP
bracis-33558	23	2	reality	reality	NOUN
bracis-33558	23	3	,	,	PUNCT
bracis-33558	23	4	information	information	NOUN
bracis-33558	23	5	networks	network	NOUN
bracis-33558	23	6	often	often	ADV
bracis-33558	23	7	exhibit	exhibit	VERB
bracis-33558	23	8	heterogeneity	heterogeneity	NOUN
bracis-33558	23	9	,	,	PUNCT
bracis-33558	23	10	comprising	comprise	VERB
bracis-33558	23	11	various	various	ADJ
bracis-33558	23	12	types	type	NOUN
bracis-33558	23	13	of	of	ADP
bracis-33558	23	14	vertices	vertex	NOUN
bracis-33558	23	15	and	and	CCONJ
bracis-33558	23	16	edges	edge	NOUN
bracis-33558	23	17	[	[	X
bracis-33558	23	18	7	7	NUM
bracis-33558	23	19	]	]	PUNCT
bracis-33558	23	20	.	.	PUNCT
bracis-33558	24	1	leveraging	leverage	VERB
bracis-33558	24	2	the	the	DET
bracis-33558	24	3	information	information	NOUN
bracis-33558	24	4	richness	richness	NOUN
bracis-33558	24	5	of	of	ADP
bracis-33558	24	6	the	the	DET
bracis-33558	24	7	heterogeneous	heterogeneous	ADJ
bracis-33558	24	8	k	k	ADJ
bracis-33558	24	9	-	-	ADJ
bracis-33558	24	10	partite	partite	ADJ
bracis-33558	24	11	network	network	NOUN
bracis-33558	24	12	allows	allow	VERB
bracis-33558	24	13	the	the	DET
bracis-33558	24	14	model	model	NOUN
bracis-33558	24	15	to	to	PART
bracis-33558	24	16	learn	learn	VERB
bracis-33558	24	17	more	more	ADV
bracis-33558	24	18	resilient	resilient	ADJ
bracis-33558	24	19	and	and	CCONJ
bracis-33558	24	20	generalizable	generalizable	ADJ
bracis-33558	24	21	data	datum	NOUN
bracis-33558	24	22	representations	representation	NOUN
bracis-33558	24	23	,	,	PUNCT
bracis-33558	24	24	leading	lead	VERB
bracis-33558	24	25	to	to	ADP
bracis-33558	24	26	improved	improved	ADJ
bracis-33558	24	27	performance	performance	NOUN
bracis-33558	24	28	in	in	ADP
bracis-33558	24	29	downstream	downstream	ADJ
bracis-33558	24	30	tasks	task	NOUN
bracis-33558	24	31	like	like	ADP
bracis-33558	24	32	classification	classification	NOUN
bracis-33558	24	33	and	and	CCONJ
bracis-33558	24	34	prediction	prediction	NOUN
bracis-33558	24	35	.	.	PUNCT
bracis-33558	25	1	as	as	SCONJ
bracis-33558	25	2	interest	interest	NOUN
bracis-33558	25	3	in	in	ADP
bracis-33558	25	4	techniques	technique	NOUN
bracis-33558	25	5	for	for	ADP
bracis-33558	25	6	heterogeneous	heterogeneous	ADJ
bracis-33558	25	7	networks	network	NOUN
bracis-33558	25	8	grows	grow	VERB
bracis-33558	25	9	,	,	PUNCT
bracis-33558	25	10	as	as	SCONJ
bracis-33558	25	11	evidenced	evidence	VERB
bracis-33558	25	12	by	by	ADP
bracis-33558	25	13	studies	study	NOUN
bracis-33558	25	14	such	such	ADJ
bracis-33558	25	15	as	as	ADP
bracis-33558	25	16	[	[	X
bracis-33558	25	17	4	4	NUM
bracis-33558	25	18	,	,	PUNCT
bracis-33558	25	19	8	8	NUM
bracis-33558	25	20	,	,	PUNCT
bracis-33558	25	21	9	9	NUM
bracis-33558	25	22	]	]	PUNCT
bracis-33558	25	23	,	,	PUNCT
bracis-33558	25	24	research	research	NOUN
bracis-33558	25	25	on	on	ADP
bracis-33558	25	26	coarsening	coarsen	VERB
bracis-33558	25	27	methods	method	NOUN
bracis-33558	25	28	has	have	AUX
bracis-33558	25	29	also	also	ADV
bracis-33558	25	30	gained	gain	VERB
bracis-33558	25	31	momentum	momentum	NOUN
bracis-33558	25	32	,	,	PUNCT
bracis-33558	25	33	particularly	particularly	ADV
bracis-33558	25	34	for	for	ADP
bracis-33558	25	35	bipartite	bipartite	ADJ
bracis-33558	25	36	networks	network	NOUN
bracis-33558	25	37	[	[	X
bracis-33558	25	38	10,11,12,13,14	10,11,12,13,14	X
bracis-33558	25	39	]	]	X
bracis-33558	25	40	.	.	PUNCT
bracis-33558	26	1	the	the	DET
bracis-33558	26	2	methods	method	NOUN
bracis-33558	26	3	explicitly	explicitly	ADV
bracis-33558	26	4	designed	design	VERB
bracis-33558	26	5	for	for	ADP
bracis-33558	26	6	heterogeneous	heterogeneous	ADJ
bracis-33558	26	7	networks	network	NOUN
bracis-33558	26	8	still	still	ADV
bracis-33558	26	9	need	need	VERB
bracis-33558	26	10	to	to	PART
bracis-33558	26	11	be	be	AUX
bracis-33558	26	12	explored	explore	VERB
bracis-33558	26	13	[	[	PUNCT
bracis-33558	26	14	5	5	NUM
bracis-33558	26	15	]	]	PUNCT
bracis-33558	26	16	.	.	PUNCT
bracis-33558	27	1	in	in	ADP
bracis-33558	27	2	this	this	DET
bracis-33558	27	3	study	study	NOUN
bracis-33558	27	4	,	,	PUNCT
bracis-33558	27	5	we	we	PRON
bracis-33558	27	6	aim	aim	VERB
bracis-33558	27	7	to	to	PART
bracis-33558	27	8	assess	assess	VERB
bracis-33558	27	9	the	the	DET
bracis-33558	27	10	accuracy	accuracy	NOUN
bracis-33558	27	11	of	of	ADP
bracis-33558	27	12	coarsened	coarsen	VERB
bracis-33558	27	13	heterogeneous	heterogeneous	ADJ
bracis-33558	27	14	networks	network	NOUN
bracis-33558	27	15	in	in	ADP
bracis-33558	27	16	classifying	classify	VERB
bracis-33558	27	17	vertices	vertex	NOUN
bracis-33558	27	18	based	base	VERB
bracis-33558	27	19	on	on	ADP
bracis-33558	27	20	their	their	PRON
bracis-33558	27	21	relationships	relationship	NOUN
bracis-33558	27	22	to	to	ADP
bracis-33558	27	23	other	other	ADJ
bracis-33558	27	24	vertices	vertex	NOUN
bracis-33558	27	25	within	within	ADP
bracis-33558	27	26	a	a	DET
bracis-33558	27	27	semi	semi	ADJ
bracis-33558	27	28	-	-	ADJ
bracis-33558	27	29	supervised	supervised	ADJ
bracis-33558	27	30	context	context	NOUN
bracis-33558	27	31	.	.	PUNCT
bracis-33558	28	1	it	it	PRON
bracis-33558	28	2	is	be	AUX
bracis-33558	28	3	important	important	ADJ
bracis-33558	28	4	to	to	PART
bracis-33558	28	5	note	note	VERB
bracis-33558	28	6	that	that	SCONJ
bracis-33558	28	7	coarsening	coarsening	NOUN
bracis-33558	28	8	can	can	AUX
bracis-33558	28	9	result	result	VERB
bracis-33558	28	10	in	in	ADP
bracis-33558	28	11	information	information	NOUN
bracis-33558	28	12	loss	loss	NOUN
bracis-33558	28	13	and	and	CCONJ
bracis-33558	28	14	a	a	DET
bracis-33558	28	15	potential	potential	ADJ
bracis-33558	28	16	decrease	decrease	NOUN
bracis-33558	28	17	in	in	ADP
bracis-33558	28	18	classification	classification	NOUN
bracis-33558	28	19	accuracy	accuracy	NOUN
bracis-33558	28	20	.	.	PUNCT
bracis-33558	29	1	therefore	therefore	ADV
bracis-33558	29	2	,	,	PUNCT
bracis-33558	29	3	evaluating	evaluate	VERB
bracis-33558	29	4	the	the	DET
bracis-33558	29	5	trade	trade	NOUN
bracis-33558	29	6	-	-	PUNCT
bracis-33558	29	7	off	off	NOUN
bracis-33558	29	8	between	between	ADP
bracis-33558	29	9	computational	computational	ADJ
bracis-33558	29	10	efficiency	efficiency	NOUN
bracis-33558	29	11	and	and	CCONJ
bracis-33558	29	12	classification	classification	NOUN
bracis-33558	29	13	accuracy	accuracy	NOUN
bracis-33558	29	14	becomes	become	VERB
bracis-33558	29	15	crucial	crucial	ADJ
bracis-33558	29	16	when	when	SCONJ
bracis-33558	29	17	employing	employ	VERB
bracis-33558	29	18	coarsening	coarsen	VERB
bracis-33558	29	19	in	in	ADP
bracis-33558	29	20	heterogeneous	heterogeneous	ADJ
bracis-33558	29	21	network	network	NOUN
bracis-33558	29	22	classification	classification	NOUN
bracis-33558	29	23	tasks	task	NOUN
bracis-33558	29	24	.	.	PUNCT
bracis-33558	30	1	in	in	ADP
bracis-33558	30	2	this	this	DET
bracis-33558	30	3	context	context	NOUN
bracis-33558	30	4	,	,	PUNCT
bracis-33558	30	5	this	this	DET
bracis-33558	30	6	study	study	NOUN
bracis-33558	30	7	introduces	introduce	VERB
bracis-33558	30	8	the	the	DET
bracis-33558	30	9	development	development	NOUN
bracis-33558	30	10	of	of	ADP
bracis-33558	30	11	a	a	DET
bracis-33558	30	12	novel	novel	ADJ
bracis-33558	30	13	coarsening	coarsening	NOUN
bracis-33558	30	14	method	method	NOUN
bracis-33558	30	15	designed	design	VERB
bracis-33558	30	16	explicitly	explicitly	ADV
bracis-33558	30	17	for	for	ADP
bracis-33558	30	18	k	k	ADJ
bracis-33558	30	19	-	-	ADJ
bracis-33558	30	20	partite	partite	ADJ
bracis-33558	30	21	networks	network	NOUN
bracis-33558	30	22	.	.	PUNCT
bracis-33558	31	1	our	our	PRON
bracis-33558	31	2	proposed	propose	VERB
bracis-33558	31	3	method	method	NOUN
bracis-33558	31	4	utilizes	utilize	VERB
bracis-33558	31	5	a	a	DET
bracis-33558	31	6	technique	technique	NOUN
bracis-33558	31	7	that	that	PRON
bracis-33558	31	8	organizes	organize	VERB
bracis-33558	31	9	partitions	partition	NOUN
bracis-33558	31	10	and	and	CCONJ
bracis-33558	31	11	selects	select	NOUN
bracis-33558	31	12	paths	path	NOUN
bracis-33558	31	13	in	in	ADP
bracis-33558	31	14	the	the	DET
bracis-33558	31	15	schema	schema	NOUN
bracis-33558	31	16	,	,	PUNCT
bracis-33558	31	17	resulting	result	VERB
bracis-33558	31	18	in	in	ADP
bracis-33558	31	19	improved	improved	ADJ
bracis-33558	31	20	coarsening	coarsening	NOUN
bracis-33558	31	21	performance	performance	NOUN
bracis-33558	31	22	compared	compare	VERB
bracis-33558	31	23	to	to	ADP
bracis-33558	31	24	random	random	ADJ
bracis-33558	31	25	approaches	approach	NOUN
bracis-33558	31	26	used	use	VERB
bracis-33558	31	27	in	in	ADP
bracis-33558	31	28	other	other	ADJ
bracis-33558	31	29	studies	study	NOUN
bracis-33558	31	30	[	[	X
bracis-33558	31	31	15	15	NUM
bracis-33558	31	32	]	]	PUNCT
bracis-33558	31	33	.	.	PUNCT
bracis-33558	32	1	our	our	PRON
bracis-33558	32	2	results	result	NOUN
bracis-33558	32	3	demonstrate	demonstrate	VERB
bracis-33558	32	4	the	the	DET
bracis-33558	32	5	potential	potential	NOUN
bracis-33558	32	6	of	of	ADP
bracis-33558	32	7	coarsening	coarsen	VERB
bracis-33558	32	8	techniques	technique	NOUN
bracis-33558	32	9	in	in	ADP
bracis-33558	32	10	resolving	resolve	VERB
bracis-33558	32	11	storage	storage	NOUN
bracis-33558	32	12	and	and	CCONJ
bracis-33558	32	13	processing	processing	NOUN
bracis-33558	32	14	issues	issue	NOUN
bracis-33558	32	15	for	for	ADP
bracis-33558	32	16	large	large	ADJ
bracis-33558	32	17	networks	network	NOUN
bracis-33558	32	18	.	.	PUNCT
bracis-33558	33	1	this	this	DET
bracis-33558	33	2	paper	paper	NOUN
bracis-33558	33	3	is	be	AUX
bracis-33558	33	4	organized	organize	VERB
bracis-33558	33	5	as	as	SCONJ
bracis-33558	33	6	follows	follow	VERB
bracis-33558	33	7	.	.	PUNCT
bracis-33558	34	1	section	section	NOUN
bracis-33558	34	2	2	2	NUM
bracis-33558	34	3	discusses	discuss	VERB
bracis-33558	34	4	the	the	DET
bracis-33558	34	5	background	background	NOUN
bracis-33558	34	6	and	and	CCONJ
bracis-33558	34	7	foundational	foundational	ADJ
bracis-33558	34	8	concepts	concept	NOUN
bracis-33558	34	9	necessary	necessary	ADJ
bracis-33558	34	10	for	for	ADP
bracis-33558	34	11	understanding	understand	VERB
bracis-33558	34	12	the	the	DET
bracis-33558	34	13	research	research	NOUN
bracis-33558	34	14	,	,	PUNCT
bracis-33558	34	15	including	include	VERB
bracis-33558	34	16	an	an	DET
bracis-33558	34	17	overview	overview	NOUN
bracis-33558	34	18	of	of	ADP
bracis-33558	34	19	k	k	ADJ
bracis-33558	34	20	-	-	ADJ
bracis-33558	34	21	partite	partite	ADJ
bracis-33558	34	22	networks	network	NOUN
bracis-33558	34	23	and	and	CCONJ
bracis-33558	34	24	their	their	PRON
bracis-33558	34	25	formal	formal	ADJ
bracis-33558	34	26	descriptions	description	NOUN
bracis-33558	34	27	.	.	PUNCT
bracis-33558	35	1	section	section	NOUN
bracis-33558	35	2	3	3	NUM
bracis-33558	35	3	introduces	introduce	VERB
bracis-33558	35	4	a	a	DET
bracis-33558	35	5	novel	novel	ADJ
bracis-33558	35	6	coarsening	coarsen	VERB
bracis-33558	35	7	algorithm	algorithm	NOUN
bracis-33558	35	8	specifically	specifically	ADV
bracis-33558	35	9	designed	design	VERB
bracis-33558	35	10	for	for	ADP
bracis-33558	35	11	k	k	ADJ
bracis-33558	35	12	-	-	ADJ
bracis-33558	35	13	partite	partite	ADJ
bracis-33558	35	14	networks	network	NOUN
bracis-33558	35	15	,	,	PUNCT
bracis-33558	35	16	detailing	detail	VERB
bracis-33558	35	17	its	its	PRON
bracis-33558	35	18	methodology	methodology	NOUN
bracis-33558	35	19	and	and	CCONJ
bracis-33558	35	20	the	the	DET
bracis-33558	35	21	theoretical	theoretical	ADJ
bracis-33558	35	22	underpinnings	underpinning	NOUN
bracis-33558	35	23	that	that	PRON
bracis-33558	35	24	ensure	ensure	VERB
bracis-33558	35	25	its	its	PRON
bracis-33558	35	26	efficiency	efficiency	NOUN
bracis-33558	35	27	and	and	CCONJ
bracis-33558	35	28	effectiveness	effectiveness	NOUN
bracis-33558	35	29	.	.	PUNCT
bracis-33558	36	1	section	section	NOUN
bracis-33558	36	2	4	4	NUM
bracis-33558	36	3	presents	present	VERB
bracis-33558	36	4	the	the	DET
bracis-33558	36	5	experimental	experimental	ADJ
bracis-33558	36	6	results	result	NOUN
bracis-33558	36	7	,	,	PUNCT
bracis-33558	36	8	showcasing	showcase	VERB
bracis-33558	36	9	the	the	DET
bracis-33558	36	10	performance	performance	NOUN
bracis-33558	36	11	of	of	ADP
bracis-33558	36	12	the	the	DET
bracis-33558	36	13	proposed	propose	VERB
bracis-33558	36	14	algorithm	algorithm	NOUN
bracis-33558	36	15	through	through	ADP
bracis-33558	36	16	various	various	ADJ
bracis-33558	36	17	datasets	dataset	NOUN
bracis-33558	36	18	.	.	PUNCT
bracis-33558	37	1	finally	finally	ADV
bracis-33558	37	2	,	,	PUNCT
bracis-33558	37	3	sect	sect	NOUN
bracis-33558	37	4	.	.	PUNCT
bracis-33558	38	1	5	5	NUM
bracis-33558	38	2	concludes	conclude	VERB
bracis-33558	38	3	the	the	DET
bracis-33558	38	4	paper	paper	NOUN
bracis-33558	38	5	by	by	ADP
bracis-33558	38	6	summarizing	summarize	VERB
bracis-33558	38	7	the	the	DET
bracis-33558	38	8	findings	finding	NOUN
bracis-33558	38	9	and	and	CCONJ
bracis-33558	38	10	discussing	discuss	VERB
bracis-33558	38	11	their	their	PRON
bracis-33558	38	12	implications	implication	NOUN
bracis-33558	38	13	.	.	PUNCT
bracis-33558	39	1	2	2	NUM
bracis-33558	39	2	background	background	NOUN
bracis-33558	39	3	a	a	DET
bracis-33558	39	4	network	network	NOUN
bracis-33558	39	5	,	,	PUNCT
bracis-33558	39	6	denoted	denote	VERB
bracis-33558	39	7	as	as	ADP
bracis-33558	39	8	\(g=(v	\(g=(v	NOUN
bracis-33558	39	9	,	,	PUNCT
bracis-33558	39	10	e)\	e)\	NOUN
bracis-33558	39	11	)	)	PUNCT
bracis-33558	39	12	or	or	CCONJ
bracis-33558	39	13	graph	graph	VERB
bracis-33558	39	14	g	g	NOUN
bracis-33558	39	15	,	,	PUNCT
bracis-33558	39	16	is	be	AUX
bracis-33558	39	17	referred	refer	VERB
bracis-33558	39	18	to	to	ADP
bracis-33558	39	19	as	as	ADP
bracis-33558	39	20	k	k	NOUN
bracis-33558	39	21	-	-	ADJ
bracis-33558	39	22	partite	partite	ADJ
bracis-33558	39	23	if	if	SCONJ
bracis-33558	39	24	its	its	PRON
bracis-33558	39	25	vertex	vertex	NOUN
bracis-33558	39	26	set	set	VERB
bracis-33558	39	27	v	v	ADP
bracis-33558	39	28	consists	consist	NOUN
bracis-33558	39	29	of	of	ADP
bracis-33558	39	30	k	k	PROPN
bracis-33558	39	31	disjoint	disjoint	PROPN
bracis-33558	39	32	sets	set	NOUN
bracis-33558	39	33	:	:	PUNCT
bracis-33558	39	34	\(v=	\(v=	X
bracis-33558	39	35	\mathcal	\mathcal	INTJ
bracis-33558	39	36	{	{	PUNCT
bracis-33558	39	37	v}_1	v}_1	ADV
bracis-33558	39	38	\cup	\cup	ADP
bracis-33558	39	39	\mathcal	\mathcal	PROPN
bracis-33558	39	40	{	{	PUNCT
bracis-33558	39	41	v}_2	v}_2	NOUN
bracis-33558	39	42	\cup	\cup	NOUN
bracis-33558	39	43	...	...	PUNCT
bracis-33558	39	44	\cup	\cup	X
bracis-33558	39	45	\mathcal	\mathcal	PROPN
bracis-33558	39	46	{	{	PUNCT
bracis-33558	39	47	v}_k\	v}_k\	NOUN
bracis-33558	39	48	)	)	PUNCT
bracis-33558	39	49	.	.	PUNCT
bracis-33558	40	1	here	here	ADV
bracis-33558	40	2	,	,	PUNCT
bracis-33558	40	3	each	each	DET
bracis-33558	40	4	\(\mathcal	\(\mathcal	ADJ
bracis-33558	40	5	{	{	PUNCT
bracis-33558	40	6	v}_i\	v}_i\	NOUN
bracis-33558	40	7	)	)	PUNCT
bracis-33558	40	8	and	and	CCONJ
bracis-33558	40	9	\(\mathcal	\(\mathcal	ADJ
bracis-33558	40	10	{	{	PUNCT
bracis-33558	40	11	v}_j\	v}_j\	NOUN
bracis-33558	40	12	)	)	PUNCT
bracis-33558	40	13	(	(	PUNCT
bracis-33558	40	14	\(1	\(1	PROPN
bracis-33558	40	15	\le	\le	PROPN
bracis-33558	40	16	i	i	PROPN
bracis-33558	40	17	,	,	PUNCT
bracis-33558	40	18	j	j	PROPN
bracis-33558	40	19	\le	\le	PROPN
bracis-33558	40	20	k\	k\	PROPN
bracis-33558	40	21	)	)	PUNCT
bracis-33558	40	22	)	)	PUNCT
bracis-33558	40	23	represent	represent	VERB
bracis-33558	40	24	sets	set	NOUN
bracis-33558	40	25	of	of	ADP
bracis-33558	40	26	vertices	vertex	NOUN
bracis-33558	40	27	,	,	PUNCT
bracis-33558	40	28	and	and	CCONJ
bracis-33558	40	29	the	the	DET
bracis-33558	40	30	edge	edge	NOUN
bracis-33558	40	31	set	set	NOUN
bracis-33558	40	32	e	e	NOUN
bracis-33558	40	33	is	be	AUX
bracis-33558	40	34	a	a	DET
bracis-33558	40	35	subset	subset	NOUN
bracis-33558	40	36	of	of	ADP
bracis-33558	40	37	pairs	pair	NOUN
bracis-33558	40	38	from	from	ADP
bracis-33558	40	39	\(\bigcup	\(\bigcup	NOUN
bracis-33558	40	40	_	_	PUNCT
bracis-33558	40	41	{	{	PUNCT
bracis-33558	41	1	i	i	PROPN
bracis-33558	41	2	\ne	\ne	PROPN
bracis-33558	41	3	j	j	PROPN
bracis-33558	41	4	}	}	PUNCT
bracis-33558	41	5	\mathcal	\mathcal	PROPN
bracis-33558	41	6	{	{	PUNCT
bracis-33558	41	7	v}_i	v}_i	ADV
bracis-33558	41	8	\times	\time	VERB
bracis-33558	41	9	\mathcal	\mathcal	PROPN
bracis-33558	41	10	{	{	PUNCT
bracis-33558	41	11	v}_j\	v}_j\	ADJ
bracis-33558	41	12	)	)	PUNCT
bracis-33558	41	13	.	.	PUNCT
bracis-33558	42	1	in	in	ADP
bracis-33558	42	2	other	other	ADJ
bracis-33558	42	3	words	word	NOUN
bracis-33558	42	4	,	,	PUNCT
bracis-33558	42	5	every	every	DET
bracis-33558	42	6	edge	edge	NOUN
bracis-33558	42	7	\(e=(a	\(e=(a	ADV
bracis-33558	42	8	,	,	PUNCT
bracis-33558	42	9	b)\	b)\	X
bracis-33558	42	10	)	)	PUNCT
bracis-33558	42	11	connects	connect	VERB
bracis-33558	42	12	vertices	vertex	NOUN
bracis-33558	42	13	from	from	ADP
bracis-33558	42	14	different	different	ADJ
bracis-33558	42	15	sets	set	NOUN
bracis-33558	42	16	,	,	PUNCT
bracis-33558	42	17	where	where	SCONJ
bracis-33558	42	18	\(a	\(a	PROPN
bracis-33558	42	19	\in	\in	PROPN
bracis-33558	42	20	\mathcal	\mathcal	PROPN
bracis-33558	42	21	{	{	PUNCT
bracis-33558	42	22	v}_i\	v}_i\	NOUN
bracis-33558	42	23	)	)	PUNCT
bracis-33558	42	24	and	and	CCONJ
bracis-33558	42	25	\(b	\(b	PROPN
bracis-33558	42	26	\in	\in	PROPN
bracis-33558	42	27	\mathcal	\mathcal	PROPN
bracis-33558	42	28	{	{	PUNCT
bracis-33558	42	29	v}_j\	v}_j\	NOUN
bracis-33558	42	30	)	)	PUNCT
bracis-33558	42	31	,	,	PUNCT
bracis-33558	42	32	with	with	ADP
bracis-33558	42	33	\(a	\(a	NOUN
bracis-33558	42	34	i	i	PROPN
bracis-33558	42	35	\ne	\ne	PROPN
bracis-33558	42	36	j\	j\	PROPN
bracis-33558	42	37	)	)	PUNCT
bracis-33558	42	38	.	.	PUNCT
bracis-33558	43	1	additionally	additionally	ADV
bracis-33558	43	2	,	,	PUNCT
bracis-33558	43	3	each	each	DET
bracis-33558	43	4	edge	edge	NOUN
bracis-33558	43	5	(	(	PUNCT
bracis-33558	43	6	a	a	DET
bracis-33558	43	7	,	,	PUNCT
bracis-33558	43	8	 	 	SPACE
bracis-33558	43	9	b	b	NOUN
bracis-33558	43	10	)	)	PUNCT
bracis-33558	43	11	in	in	ADP
bracis-33558	43	12	the	the	DET
bracis-33558	43	13	graph	graph	NOUN
bracis-33558	43	14	may	may	AUX
bracis-33558	43	15	be	be	AUX
bracis-33558	43	16	associated	associate	VERB
bracis-33558	43	17	with	with	ADP
bracis-33558	43	18	a	a	DET
bracis-33558	43	19	weight	weight	NOUN
bracis-33558	43	20	,	,	PUNCT
bracis-33558	43	21	denoted	denote	VERB
bracis-33558	43	22	as	as	ADP
bracis-33558	43	23	\(\omega	\(\omega	X
bracis-33558	43	24	(	(	PUNCT
bracis-33558	43	25	a	a	PRON
bracis-33558	43	26	,	,	PUNCT
bracis-33558	43	27	b)\	b)\	NOUN
bracis-33558	43	28	)	)	PUNCT
bracis-33558	43	29	,	,	PUNCT
bracis-33558	43	30	where	where	SCONJ
bracis-33558	43	31	\(\omega	\(\omega	NOUN
bracis-33558	43	32	:	:	PUNCT
bracis-33558	44	1	e	e	X
bracis-33558	44	2	\rightarrow	\rightarrow	PROPN
bracis-33558	44	3	\mathbb	\mathbb	PROPN
bracis-33558	44	4	{	{	PUNCT
bracis-33558	44	5	r}^*\	r}^*\	PROPN
bracis-33558	44	6	)	)	PUNCT
bracis-33558	44	7	.	.	PUNCT
bracis-33558	45	1	moreover	moreover	ADV
bracis-33558	45	2	,	,	PUNCT
bracis-33558	45	3	individual	individual	ADJ
bracis-33558	45	4	vertices	vertex	NOUN
bracis-33558	45	5	may	may	AUX
bracis-33558	45	6	have	have	AUX
bracis-33558	45	7	associated	associate	VERB
bracis-33558	45	8	weights	weight	NOUN
bracis-33558	45	9	,	,	PUNCT
bracis-33558	45	10	represented	represent	VERB
bracis-33558	45	11	as	as	ADP
bracis-33558	45	12	\(\sigma	\(\sigma	NOUN
bracis-33558	45	13	(	(	PUNCT
bracis-33558	45	14	a)\	a)\	NUM
bracis-33558	45	15	)	)	PUNCT
bracis-33558	45	16	,	,	PUNCT
bracis-33558	45	17	where	where	SCONJ
bracis-33558	45	18	\(\sigma	\(\sigma	NOUN
bracis-33558	45	19	:	:	PUNCT
bracis-33558	45	20	v	v	X
bracis-33558	45	21	\rightarrow	\rightarrow	PROPN
bracis-33558	45	22	\mathbb	\mathbb	PROPN
bracis-33558	45	23	{	{	PUNCT
bracis-33558	45	24	r}^*\	r}^*\	PROPN
bracis-33558	45	25	)	)	PUNCT
bracis-33558	45	26	.	.	PUNCT
bracis-33558	46	1	fig	fig	NOUN
bracis-33558	46	2	.	.	PUNCT
bracis-33558	47	1	1	1	X
bracis-33558	47	2	.	.	X
bracis-33558	47	3	illustration	illustration	NOUN
bracis-33558	47	4	of	of	ADP
bracis-33558	47	5	the	the	DET
bracis-33558	47	6	coarsening	coarsening	NOUN
bracis-33558	47	7	process	process	NOUN
bracis-33558	47	8	performed	perform	VERB
bracis-33558	47	9	by	by	ADP
bracis-33558	47	10	the	the	DET
bracis-33558	47	11	proposed	propose	VERB
bracis-33558	47	12	algorithm	algorithm	NOUN
bracis-33558	47	13	in	in	ADP
bracis-33558	47	14	a	a	DET
bracis-33558	47	15	heterogeneous	heterogeneous	ADJ
bracis-33558	47	16	network	network	NOUN
bracis-33558	47	17	.	.	PUNCT
bracis-33558	48	1	in	in	ADP
bracis-33558	48	2	figure	figure	NOUN
bracis-33558	48	3	(	(	PUNCT
bracis-33558	48	4	a	a	NOUN
bracis-33558	48	5	)	)	PUNCT
bracis-33558	48	6	,	,	PUNCT
bracis-33558	48	7	the	the	DET
bracis-33558	48	8	target	target	NOUN
bracis-33558	48	9	partition	partition	NOUN
bracis-33558	48	10	is	be	AUX
bracis-33558	48	11	highlighted	highlight	VERB
bracis-33558	48	12	in	in	ADP
bracis-33558	48	13	red	red	ADJ
bracis-33558	48	14	,	,	PUNCT
bracis-33558	48	15	while	while	SCONJ
bracis-33558	48	16	in	in	ADP
bracis-33558	48	17	figure	figure	NOUN
bracis-33558	48	18	(	(	PUNCT
bracis-33558	48	19	b	b	NOUN
bracis-33558	48	20	)	)	PUNCT
bracis-33558	48	21	,	,	PUNCT
bracis-33558	48	22	the	the	DET
bracis-33558	48	23	other	other	ADJ
bracis-33558	48	24	partitions	partition	NOUN
bracis-33558	48	25	are	be	AUX
bracis-33558	48	26	highlighted	highlight	VERB
bracis-33558	48	27	in	in	ADP
bracis-33558	48	28	blue	blue	ADJ
bracis-33558	48	29	,	,	PUNCT
bracis-33558	48	30	and	and	CCONJ
bracis-33558	48	31	the	the	DET
bracis-33558	48	32	coarsening	coarsening	NOUN
bracis-33558	48	33	process	process	NOUN
bracis-33558	48	34	reduces	reduce	VERB
bracis-33558	48	35	them	they	PRON
bracis-33558	48	36	.	.	PUNCT
bracis-33558	49	1	(	(	PUNCT
bracis-33558	49	2	color	color	NOUN
bracis-33558	49	3	figure	figure	NOUN
bracis-33558	49	4	online	online	ADV
bracis-33558	49	5	)	)	PUNCT
bracis-33558	49	6	full	full	ADJ
bracis-33558	49	7	size	size	NOUN
bracis-33558	49	8	image	image	NOUN
bracis-33558	49	9	in	in	ADP
bracis-33558	49	10	this	this	DET
bracis-33558	49	11	context	context	NOUN
bracis-33558	49	12	,	,	PUNCT
bracis-33558	49	13	a	a	DET
bracis-33558	49	14	heterogeneous	heterogeneous	ADJ
bracis-33558	49	15	network	network	NOUN
bracis-33558	49	16	is	be	AUX
bracis-33558	49	17	considered	consider	VERB
bracis-33558	49	18	a	a	DET
bracis-33558	49	19	specific	specific	ADJ
bracis-33558	49	20	type	type	NOUN
bracis-33558	49	21	of	of	ADP
bracis-33558	49	22	k	k	ADJ
bracis-33558	49	23	-	-	ADJ
bracis-33558	49	24	partite	partite	ADJ
bracis-33558	49	25	network	network	NOUN
bracis-33558	49	26	,	,	PUNCT
bracis-33558	49	27	where	where	SCONJ
bracis-33558	49	28	vertices	vertex	NOUN
bracis-33558	49	29	of	of	ADP
bracis-33558	49	30	the	the	DET
bracis-33558	49	31	same	same	ADJ
bracis-33558	49	32	type	type	NOUN
bracis-33558	49	33	form	form	NOUN
bracis-33558	49	34	a	a	DET
bracis-33558	49	35	partition	partition	NOUN
bracis-33558	49	36	,	,	PUNCT
bracis-33558	49	37	and	and	CCONJ
bracis-33558	49	38	connections	connection	NOUN
bracis-33558	49	39	between	between	ADP
bracis-33558	49	40	vertices	vertex	NOUN
bracis-33558	49	41	of	of	ADP
bracis-33558	49	42	different	different	ADJ
bracis-33558	49	43	types	type	NOUN
bracis-33558	49	44	exist	exist	VERB
bracis-33558	49	45	.	.	PUNCT
bracis-33558	50	1	these	these	DET
bracis-33558	50	2	connections	connection	NOUN
bracis-33558	50	3	are	be	AUX
bracis-33558	50	4	undirected	undirected	ADJ
bracis-33558	50	5	,	,	PUNCT
bracis-33558	50	6	and	and	CCONJ
bracis-33558	50	7	the	the	DET
bracis-33558	50	8	relationships	relationship	NOUN
bracis-33558	50	9	between	between	ADP
bracis-33558	50	10	nodes	node	NOUN
bracis-33558	50	11	are	be	AUX
bracis-33558	50	12	symmetric	symmetric	ADJ
bracis-33558	50	13	.	.	PUNCT
bracis-33558	51	1	the	the	DET
bracis-33558	51	2	weight	weight	NOUN
bracis-33558	51	3	of	of	ADP
bracis-33558	51	4	a	a	DET
bracis-33558	51	5	vertex	vertex	NOUN
bracis-33558	51	6	\(a	\(a	PROPN
bracis-33558	51	7	\in	\in	PROPN
bracis-33558	51	8	\mathcal	\mathcal	PROPN
bracis-33558	51	9	{	{	PUNCT
bracis-33558	51	10	v}_i\	v}_i\	NOUN
bracis-33558	51	11	)	)	PUNCT
bracis-33558	51	12	,	,	PUNCT
bracis-33558	51	13	represented	represent	VERB
bracis-33558	51	14	as	as	ADP
bracis-33558	51	15	\(\kappa	\(\kappa	PROPN
bracis-33558	51	16	_	_	PUNCT
bracis-33558	51	17	a\	a\	NOUN
bracis-33558	51	18	)	)	PUNCT
bracis-33558	51	19	,	,	PUNCT
bracis-33558	51	20	is	be	AUX
bracis-33558	51	21	defined	define	VERB
bracis-33558	51	22	as	as	ADP
bracis-33558	51	23	the	the	DET
bracis-33558	51	24	total	total	ADJ
bracis-33558	51	25	weight	weight	NOUN
bracis-33558	51	26	of	of	ADP
bracis-33558	51	27	its	its	PRON
bracis-33558	51	28	adjacent	adjacent	ADJ
bracis-33558	51	29	edges	edge	NOUN
bracis-33558	51	30	,	,	PUNCT
bracis-33558	51	31	expressed	express	VERB
bracis-33558	51	32	as	as	ADP
bracis-33558	51	33	\(\kappa	\(\kappa	X
bracis-33558	51	34	_	_	PUNCT
bracis-33558	52	1	a	a	DET
bracis-33558	52	2	=	=	X
bracis-33558	52	3	\sum	\sum	NOUN
bracis-33558	52	4	_	_	PUNCT
bracis-33558	52	5	{	{	PUNCT
bracis-33558	52	6	b	b	X
bracis-33558	52	7	\in	\in	PROPN
bracis-33558	52	8	v	v	NOUN
bracis-33558	52	9	}	}	PUNCT
bracis-33558	52	10	\omega	\omega	PROPN
bracis-33558	52	11	(	(	PUNCT
bracis-33558	52	12	a	a	PRON
bracis-33558	52	13	,	,	PUNCT
bracis-33558	52	14	b)\	b)\	NOUN
bracis-33558	52	15	)	)	PUNCT
bracis-33558	52	16	.	.	PUNCT
bracis-33558	53	1	the	the	DET
bracis-33558	53	2	h	h	NOUN
bracis-33558	53	3	-	-	PUNCT
bracis-33558	53	4	hop	hop	NOUN
bracis-33558	53	5	neighborhood	neighborhood	NOUN
bracis-33558	53	6	of	of	ADP
bracis-33558	53	7	vertex	vertex	PROPN
bracis-33558	53	8	a	a	PRON
bracis-33558	53	9	,	,	PUNCT
bracis-33558	53	10	denoted	denote	VERB
bracis-33558	53	11	as	as	ADP
bracis-33558	53	12	\(\vargamma	\(\vargamma	PROPN
bracis-33558	53	13	_	_	PROPN
bracis-33558	53	14	h(a)\	h(a)\	X
bracis-33558	53	15	)	)	PUNCT
bracis-33558	53	16	,	,	PUNCT
bracis-33558	53	17	is	be	AUX
bracis-33558	53	18	formally	formally	ADV
bracis-33558	53	19	defined	define	VERB
bracis-33558	53	20	as	as	ADP
bracis-33558	53	21	the	the	DET
bracis-33558	53	22	set	set	NOUN
bracis-33558	53	23	of	of	ADP
bracis-33558	53	24	vertices	vertex	NOUN
bracis-33558	53	25	such	such	ADJ
bracis-33558	53	26	that	that	SCONJ
bracis-33558	53	27	\(\vargamma	\(\vargamma	PROPN
bracis-33558	53	28	_	_	PUNCT
bracis-33558	53	29	h(a	h(a	PROPN
bracis-33558	53	30	)	)	PUNCT
bracis-33558	54	1	=	=	SYM
bracis-33558	54	2	\{b\	\{b\	PROPN
bracis-33558	54	3	|\	|\	PROPN
bracis-33558	54	4	)	)	PUNCT
bracis-33558	54	5	there	there	PRON
bracis-33558	54	6	exists	exist	VERB
bracis-33558	54	7	a	a	DET
bracis-33558	54	8	path	path	NOUN
bracis-33558	54	9	of	of	ADP
bracis-33558	54	10	length	length	NOUN
bracis-33558	54	11	h	h	NOUN
bracis-33558	54	12	between	between	ADP
bracis-33558	54	13	vertex	vertex	NOUN
bracis-33558	54	14	a	a	DET
bracis-33558	54	15	and	and	CCONJ
bracis-33558	54	16	vertex	vertex	NOUN
bracis-33558	54	17	\(b	\(b	NOUN
bracis-33558	54	18	\}\	\}\	NOUN
bracis-33558	54	19	)	)	PUNCT
bracis-33558	54	20	.	.	PUNCT
bracis-33558	55	1	thus	thus	ADV
bracis-33558	55	2	,	,	PUNCT
bracis-33558	55	3	the	the	DET
bracis-33558	55	4	1	1	NUM
bracis-33558	55	5	-	-	PUNCT
bracis-33558	55	6	hop	hop	NOUN
bracis-33558	55	7	neighborhood	neighborhood	NOUN
bracis-33558	55	8	of	of	ADP
bracis-33558	55	9	a	a	PRON
bracis-33558	55	10	,	,	PUNCT
bracis-33558	55	11	denoted	denote	VERB
bracis-33558	55	12	\(\vargamma	\(\vargamma	PROPN
bracis-33558	55	13	_	_	NOUN
bracis-33558	55	14	1(a)\	1(a)\	NUM
bracis-33558	55	15	)	)	PUNCT
bracis-33558	55	16	,	,	PUNCT
bracis-33558	55	17	consists	consist	VERB
bracis-33558	55	18	of	of	ADP
bracis-33558	55	19	the	the	DET
bracis-33558	55	20	vertices	vertex	NOUN
bracis-33558	55	21	directly	directly	ADV
bracis-33558	55	22	adjacent	adjacent	ADJ
bracis-33558	55	23	to	to	ADP
bracis-33558	55	24	a.	a.	NOUN
bracis-33558	55	25	similarly	similarly	ADV
bracis-33558	55	26	,	,	PUNCT
bracis-33558	55	27	the	the	DET
bracis-33558	55	28	2	2	NUM
bracis-33558	55	29	-	-	PUNCT
bracis-33558	55	30	hop	hop	NOUN
bracis-33558	55	31	neighborhood	neighborhood	NOUN
bracis-33558	55	32	,	,	PUNCT
bracis-33558	55	33	\(\vargamma	\(\vargamma	X
bracis-33558	56	1	_	_	NOUN
bracis-33558	56	2	2(a)\	2(a)\	NUM
bracis-33558	56	3	)	)	PUNCT
bracis-33558	57	1	,	,	PUNCT
bracis-33558	57	2	comprises	comprise	VERB
bracis-33558	57	3	the	the	DET
bracis-33558	57	4	vertices	vertex	NOUN
bracis-33558	57	5	that	that	PRON
bracis-33558	57	6	are	be	AUX
bracis-33558	57	7	reachable	reachable	ADJ
bracis-33558	57	8	from	from	ADP
bracis-33558	57	9	a	a	PRON
bracis-33558	57	10	in	in	ADP
bracis-33558	57	11	exactly	exactly	ADV
bracis-33558	57	12	2	2	NUM
bracis-33558	57	13	hops	hop	NOUN
bracis-33558	57	14	,	,	PUNCT
bracis-33558	57	15	and	and	CCONJ
bracis-33558	57	16	so	so	ADV
bracis-33558	57	17	on	on	ADV
bracis-33558	57	18	for	for	ADP
bracis-33558	57	19	higher	high	ADJ
bracis-33558	57	20	values	value	NOUN
bracis-33558	57	21	of	of	ADP
bracis-33558	57	22	h.	h.	PROPN
bracis-33558	57	23	in	in	ADP
bracis-33558	57	24	a	a	DET
bracis-33558	57	25	k	k	ADJ
bracis-33558	57	26	-	-	ADJ
bracis-33558	57	27	partite	partite	ADJ
bracis-33558	57	28	network	network	NOUN
bracis-33558	57	29	context	context	NOUN
bracis-33558	57	30	,	,	PUNCT
bracis-33558	57	31	the	the	DET
bracis-33558	57	32	network	network	NOUN
bracis-33558	57	33	schema	schema	NOUN
bracis-33558	57	34	refers	refer	VERB
bracis-33558	57	35	to	to	ADP
bracis-33558	57	36	the	the	DET
bracis-33558	57	37	topological	topological	ADJ
bracis-33558	57	38	structure	structure	NOUN
bracis-33558	57	39	that	that	PRON
bracis-33558	57	40	links	link	VERB
bracis-33558	57	41	the	the	DET
bracis-33558	57	42	k	k	PROPN
bracis-33558	57	43	partitions	partition	NOUN
bracis-33558	57	44	together	together	ADV
bracis-33558	57	45	.	.	PUNCT
bracis-33558	58	1	formally	formally	ADV
bracis-33558	58	2	,	,	PUNCT
bracis-33558	58	3	the	the	DET
bracis-33558	58	4	network	network	NOUN
bracis-33558	58	5	schema	schema	NOUN
bracis-33558	58	6	of	of	ADP
bracis-33558	58	7	a	a	DET
bracis-33558	58	8	k	k	ADJ
bracis-33558	58	9	-	-	ADJ
bracis-33558	58	10	partite	partite	ADJ
bracis-33558	58	11	network	network	NOUN
bracis-33558	58	12	g	g	PROPN
bracis-33558	58	13	can	can	AUX
bracis-33558	58	14	be	be	AUX
bracis-33558	58	15	represented	represent	VERB
bracis-33558	58	16	by	by	ADP
bracis-33558	58	17	the	the	DET
bracis-33558	58	18	network	network	NOUN
bracis-33558	58	19	\(s(g	\(s(g	PROPN
bracis-33558	58	20	)	)	PUNCT
bracis-33558	58	21	=	=	SYM
bracis-33558	58	22	(	(	PUNCT
bracis-33558	58	23	v_s	v_s	PROPN
bracis-33558	58	24	,	,	PUNCT
bracis-33558	58	25	e_s)\	e_s)\	PUNCT
bracis-33558	58	26	)	)	PUNCT
bracis-33558	58	27	,	,	PUNCT
bracis-33558	58	28	where	where	SCONJ
bracis-33558	58	29	\(v_s\	\(v_s\	NOUN
bracis-33558	58	30	)	)	PUNCT
bracis-33558	58	31	is	be	AUX
bracis-33558	58	32	the	the	DET
bracis-33558	58	33	set	set	NOUN
bracis-33558	58	34	of	of	ADP
bracis-33558	58	35	k	k	PROPN
bracis-33558	58	36	vertices	vertex	NOUN
bracis-33558	58	37	associated	associate	VERB
bracis-33558	58	38	with	with	ADP
bracis-33558	58	39	each	each	DET
bracis-33558	58	40	partition	partition	NOUN
bracis-33558	58	41	,	,	PUNCT
bracis-33558	58	42	and	and	CCONJ
bracis-33558	58	43	\(e_s\	\(e_s\	NOUN
bracis-33558	58	44	)	)	PUNCT
bracis-33558	58	45	is	be	AUX
bracis-33558	58	46	the	the	DET
bracis-33558	58	47	set	set	NOUN
bracis-33558	58	48	of	of	ADP
bracis-33558	58	49	edges	edge	NOUN
bracis-33558	58	50	connecting	connect	VERB
bracis-33558	58	51	these	these	DET
bracis-33558	58	52	vertices	vertex	NOUN
bracis-33558	58	53	.	.	PUNCT
bracis-33558	59	1	for	for	ADP
bracis-33558	59	2	any	any	DET
bracis-33558	59	3	edge	edge	NOUN
bracis-33558	59	4	\((a	\((a	NOUN
bracis-33558	59	5	,	,	PUNCT
bracis-33558	59	6	b	b	NOUN
bracis-33558	59	7	)	)	PUNCT
bracis-33558	59	8	\in	\in	PROPN
bracis-33558	59	9	e_s\	e_s\	NOUN
bracis-33558	59	10	)	)	PUNCT
bracis-33558	59	11	,	,	PUNCT
bracis-33558	59	12	vertex	vertex	NOUN
bracis-33558	59	13	a	a	PRON
bracis-33558	59	14	belongs	belong	VERB
bracis-33558	59	15	to	to	ADP
bracis-33558	59	16	a	a	DET
bracis-33558	59	17	partition	partition	NOUN
bracis-33558	59	18	\(\mathcal	\(\mathcal	ADJ
bracis-33558	59	19	{	{	PUNCT
bracis-33558	59	20	v}_i\	v}_i\	NOUN
bracis-33558	59	21	)	)	PUNCT
bracis-33558	59	22	,	,	PUNCT
bracis-33558	59	23	and	and	CCONJ
bracis-33558	59	24	vertex	vertex	PROPN
bracis-33558	59	25	b	b	PROPN
bracis-33558	59	26	belongs	belong	VERB
bracis-33558	59	27	to	to	ADP
bracis-33558	59	28	a	a	DET
bracis-33558	59	29	different	different	ADJ
bracis-33558	59	30	partition	partition	NOUN
bracis-33558	59	31	\(\mathcal	\(\mathcal	ADJ
bracis-33558	59	32	{	{	PUNCT
bracis-33558	59	33	v}_j\	v}_j\	NOUN
bracis-33558	59	34	)	)	PUNCT
bracis-33558	59	35	,	,	PUNCT
bracis-33558	59	36	where	where	SCONJ
bracis-33558	59	37	\(i	\(i	ADJ
bracis-33558	59	38	\ne	\ne	PROPN
bracis-33558	59	39	j\	j\	PROPN
bracis-33558	59	40	)	)	PUNCT
bracis-33558	59	41	and	and	CCONJ
bracis-33558	59	42	\(1	\(1	PROPN
bracis-33558	59	43	\le	\le	PROPN
bracis-33558	59	44	i	i	PROPN
bracis-33558	59	45	,	,	PUNCT
bracis-33558	59	46	j	j	PROPN
bracis-33558	59	47	\le	\le	PROPN
bracis-33558	59	48	k\	k\	PROPN
bracis-33558	59	49	)	)	PUNCT
bracis-33558	59	50	.	.	PUNCT
bracis-33558	60	1	a	a	DET
bracis-33558	60	2	metapath	metapath	NOUN
bracis-33558	60	3	,	,	PUNCT
bracis-33558	60	4	in	in	ADP
bracis-33558	60	5	this	this	DET
bracis-33558	60	6	context	context	NOUN
bracis-33558	60	7	,	,	PUNCT
bracis-33558	60	8	is	be	AUX
bracis-33558	60	9	defined	define	VERB
bracis-33558	60	10	as	as	ADP
bracis-33558	60	11	a	a	DET
bracis-33558	60	12	sequence	sequence	NOUN
bracis-33558	60	13	of	of	ADP
bracis-33558	60	14	edges	edge	NOUN
bracis-33558	60	15	that	that	PRON
bracis-33558	60	16	connects	connect	VERB
bracis-33558	60	17	vertices	vertex	NOUN
bracis-33558	60	18	from	from	ADP
bracis-33558	60	19	different	different	ADJ
bracis-33558	60	20	partitions	partition	NOUN
bracis-33558	60	21	in	in	ADP
bracis-33558	60	22	the	the	DET
bracis-33558	60	23	network	network	NOUN
bracis-33558	60	24	schema	schema	NOUN
bracis-33558	60	25	.	.	PUNCT
bracis-33558	61	1	our	our	PRON
bracis-33558	61	2	proposed	propose	VERB
bracis-33558	61	3	technique	technique	NOUN
bracis-33558	61	4	employs	employ	VERB
bracis-33558	61	5	a	a	DET
bracis-33558	61	6	label	label	NOUN
bracis-33558	61	7	propagation	propagation	NOUN
bracis-33558	61	8	scheme	scheme	NOUN
bracis-33558	61	9	that	that	PRON
bracis-33558	61	10	disseminates	disseminate	VERB
bracis-33558	61	11	labeled	label	VERB
bracis-33558	61	12	vertices	vertex	NOUN
bracis-33558	61	13	from	from	ADP
bracis-33558	61	14	a	a	DET
bracis-33558	61	15	specific	specific	ADJ
bracis-33558	61	16	partition	partition	NOUN
bracis-33558	61	17	,	,	PUNCT
bracis-33558	61	18	known	know	VERB
bracis-33558	61	19	as	as	ADP
bracis-33558	61	20	the	the	DET
bracis-33558	61	21	target	target	NOUN
bracis-33558	61	22	partition	partition	NOUN
bracis-33558	61	23	\(\mathcal	\(\mathcal	ADJ
bracis-33558	61	24	{	{	PUNCT
bracis-33558	61	25	v}_t\	v}_t\	NOUN
bracis-33558	61	26	)	)	PUNCT
bracis-33558	61	27	,	,	PUNCT
bracis-33558	61	28	to	to	ADP
bracis-33558	61	29	all	all	DET
bracis-33558	61	30	other	other	ADJ
bracis-33558	61	31	vertices	vertex	NOUN
bracis-33558	61	32	within	within	ADP
bracis-33558	61	33	the	the	DET
bracis-33558	61	34	network	network	NOUN
bracis-33558	61	35	.	.	PUNCT
bracis-33558	62	1	let	let	VERB
bracis-33558	62	2	\(\mathcal	\(\mathcal	ADJ
bracis-33558	62	3	{	{	PUNCT
bracis-33558	62	4	v}^l	v}^l	PROPN
bracis-33558	62	5	\in	\in	PROPN
bracis-33558	62	6	v_t\	v_t\	NOUN
bracis-33558	62	7	)	)	PUNCT
bracis-33558	62	8	denote	denote	VERB
bracis-33558	62	9	the	the	DET
bracis-33558	62	10	set	set	NOUN
bracis-33558	62	11	of	of	ADP
bracis-33558	62	12	labeled	label	VERB
bracis-33558	62	13	vertices	vertex	NOUN
bracis-33558	62	14	in	in	ADP
bracis-33558	62	15	the	the	DET
bracis-33558	62	16	target	target	NOUN
bracis-33558	62	17	partition	partition	NOUN
bracis-33558	62	18	,	,	PUNCT
bracis-33558	62	19	and	and	CCONJ
bracis-33558	62	20	\(\mathcal	\(\mathcal	ADJ
bracis-33558	62	21	{	{	PUNCT
bracis-33558	62	22	v}^u	v}^u	PROPN
bracis-33558	62	23	\in	\in	PROPN
bracis-33558	62	24	v\	v\	NOUN
bracis-33558	62	25	)	)	PUNCT
bracis-33558	62	26	represent	represent	VERB
bracis-33558	62	27	the	the	DET
bracis-33558	62	28	set	set	NOUN
bracis-33558	62	29	of	of	ADP
bracis-33558	62	30	unlabeled	unlabeled	ADJ
bracis-33558	62	31	vertices	vertex	NOUN
bracis-33558	62	32	.	.	PUNCT
bracis-33558	63	1	each	each	DET
bracis-33558	63	2	vertex	vertex	NOUN
bracis-33558	63	3	in	in	ADP
bracis-33558	63	4	\(\mathcal	\(\mathcal	ADJ
bracis-33558	63	5	{	{	PUNCT
bracis-33558	63	6	v}^l\	v}^l\	NUM
bracis-33558	63	7	)	)	PUNCT
bracis-33558	63	8	is	be	AUX
bracis-33558	63	9	associated	associate	VERB
bracis-33558	63	10	with	with	ADP
bracis-33558	63	11	a	a	DET
bracis-33558	63	12	label	label	NOUN
bracis-33558	63	13	from	from	ADP
bracis-33558	63	14	a	a	DET
bracis-33558	63	15	set	set	ADJ
bracis-33558	63	16	\(c=\{c_1	\(c=\{c_1	PROPN
bracis-33558	63	17	,	,	PUNCT
bracis-33558	63	18	c_2	c_2	NOUN
bracis-33558	63	19	,	,	PUNCT
bracis-33558	63	20	\ldots	\ldots	PROPN
bracis-33558	63	21	,	,	PUNCT
bracis-33558	63	22	c_m	c_m	NUM
bracis-33558	63	23	\}\	\}\	NOUN
bracis-33558	63	24	)	)	PUNCT
bracis-33558	63	25	comprising	comprise	VERB
bracis-33558	63	26	m	m	NOUN
bracis-33558	63	27	classes	class	NOUN
bracis-33558	63	28	.	.	PUNCT
bracis-33558	64	1	the	the	DET
bracis-33558	64	2	matrix	matrix	NOUN
bracis-33558	64	3	\(\mathcal	\(\mathcal	ADJ
bracis-33558	64	4	{	{	PUNCT
bracis-33558	64	5	y	y	NOUN
bracis-33558	64	6	}	}	PUNCT
bracis-33558	64	7	\in	\in	PROPN
bracis-33558	64	8	\mathbb	\mathbb	PROPN
bracis-33558	64	9	{	{	PUNCT
bracis-33558	64	10	r}^{|v|	r}^{|v|	VERB
bracis-33558	64	11	\times	\times	ADP
bracis-33558	64	12	m}\	m}\	NOUN
bracis-33558	64	13	)	)	PUNCT
bracis-33558	64	14	represents	represent	VERB
bracis-33558	64	15	the	the	DET
bracis-33558	64	16	labels	label	NOUN
bracis-33558	64	17	for	for	ADP
bracis-33558	64	18	the	the	DET
bracis-33558	64	19	corresponding	corresponding	ADJ
bracis-33558	64	20	vertices	vertex	NOUN
bracis-33558	64	21	in	in	ADP
bracis-33558	64	22	v.	v.	ADP
bracis-33558	64	23	for	for	ADP
bracis-33558	64	24	simplicity	simplicity	NOUN
bracis-33558	64	25	,	,	PUNCT
bracis-33558	64	26	we	we	PRON
bracis-33558	64	27	denote	denote	VERB
bracis-33558	64	28	\(\mathcal	\(\mathcal	ADJ
bracis-33558	64	29	{	{	PUNCT
bracis-33558	64	30	y}_{a	y}_{a	PROPN
bracis-33558	64	31	,	,	PUNCT
bracis-33558	64	32	i}\	i}\	NUM
bracis-33558	64	33	)	)	PUNCT
bracis-33558	64	34	as	as	ADP
bracis-33558	64	35	the	the	DET
bracis-33558	64	36	weight	weight	NOUN
bracis-33558	64	37	of	of	ADP
bracis-33558	64	38	label	label	NOUN
bracis-33558	64	39	\(c_i\	\(c_i\	NOUN
bracis-33558	64	40	)	)	PUNCT
bracis-33558	64	41	assigned	assign	VERB
bracis-33558	64	42	to	to	ADP
bracis-33558	64	43	a	a	DET
bracis-33558	64	44	vertex	vertex	NOUN
bracis-33558	64	45	a	a	PRON
bracis-33558	64	46	,	,	PUNCT
bracis-33558	64	47	and	and	CCONJ
bracis-33558	64	48	\(\mathcal	\(\mathcal	ADJ
bracis-33558	64	49	{	{	PUNCT
bracis-33558	64	50	y}_{\mathcal	y}_{\mathcal	NOUN
bracis-33558	64	51	{	{	PUNCT
bracis-33558	64	52	v}_i}\	v}_i}\	NOUN
bracis-33558	64	53	)	)	PUNCT
bracis-33558	64	54	as	as	ADP
bracis-33558	64	55	the	the	DET
bracis-33558	64	56	labels	label	NOUN
bracis-33558	64	57	assigned	assign	VERB
bracis-33558	64	58	to	to	ADP
bracis-33558	64	59	a	a	DET
bracis-33558	64	60	subset	subset	NOUN
bracis-33558	64	61	of	of	ADP
bracis-33558	64	62	vertices	vertex	NOUN
bracis-33558	64	63	in	in	ADP
bracis-33558	64	64	partition	partition	NOUN
bracis-33558	64	65	\(\mathcal	\(\mathcal	ADJ
bracis-33558	64	66	{	{	PUNCT
bracis-33558	64	67	v}_i\	v}_i\	NOUN
bracis-33558	64	68	)	)	PUNCT
bracis-33558	64	69	.	.	PUNCT
bracis-33558	65	1	the	the	DET
bracis-33558	65	2	transductive	transductive	ADJ
bracis-33558	65	3	learning	learn	VERB
bracis-33558	65	4	algorithm	algorithm	NOUN
bracis-33558	65	5	inputs	input	VERB
bracis-33558	65	6	a	a	DET
bracis-33558	65	7	labeled	label	VERB
bracis-33558	65	8	training	training	NOUN
bracis-33558	65	9	set	set	NOUN
bracis-33558	65	10	of	of	ADP
bracis-33558	65	11	vertices	vertex	NOUN
bracis-33558	65	12	\(\mathcal	\(\mathcal	ADJ
bracis-33558	65	13	{	{	PUNCT
bracis-33558	65	14	v}^l\	v}^l\	NUM
bracis-33558	65	15	)	)	PUNCT
bracis-33558	65	16	and	and	CCONJ
bracis-33558	65	17	a	a	DET
bracis-33558	65	18	set	set	NOUN
bracis-33558	65	19	of	of	ADP
bracis-33558	65	20	unlabeled	unlabeled	ADJ
bracis-33558	65	21	test	test	NOUN
bracis-33558	65	22	vertices	vertex	NOUN
bracis-33558	65	23	\(\mathcal	\(\mathcal	ADJ
bracis-33558	65	24	{	{	PUNCT
bracis-33558	65	25	v}^u\	v}^u\	PROPN
bracis-33558	65	26	)	)	PUNCT
bracis-33558	65	27	.	.	PUNCT
bracis-33558	66	1	it	it	PRON
bracis-33558	66	2	outputs	output	VERB
bracis-33558	66	3	a	a	DET
bracis-33558	66	4	transductive	transductive	ADJ
bracis-33558	66	5	learner	learner	NOUN
bracis-33558	66	6	f	f	PROPN
bracis-33558	66	7	that	that	PRON
bracis-33558	66	8	assigns	assign	VERB
bracis-33558	66	9	a	a	DET
bracis-33558	66	10	label	label	NOUN
bracis-33558	66	11	\(c_i	\(c_i	NOUN
bracis-33558	66	12	\in	\in	PROPN
bracis-33558	66	13	c\	c\	NOUN
bracis-33558	66	14	)	)	PUNCT
bracis-33558	66	15	to	to	ADP
bracis-33558	66	16	each	each	DET
bracis-33558	66	17	vertex	vertex	NOUN
bracis-33558	66	18	a	a	PRON
bracis-33558	66	19	in	in	ADP
bracis-33558	66	20	\(\mathcal	\(\mathcal	ADJ
bracis-33558	66	21	{	{	PUNCT
bracis-33558	66	22	v}^u\	v}^u\	NOUN
bracis-33558	66	23	)	)	PUNCT
bracis-33558	66	24	,	,	PUNCT
bracis-33558	66	25	denoted	denote	VERB
bracis-33558	66	26	as	as	ADP
bracis-33558	66	27	\(f(a	\(f(a	PROPN
bracis-33558	66	28	)	)	PUNCT
bracis-33558	66	29	=	=	SYM
bracis-33558	66	30	\mathop	\mathop	PROPN
bracis-33558	66	31	{	{	PUNCT
bracis-33558	66	32	\mathrm	\mathrm	PROPN
bracis-33558	66	33	{	{	PUNCT
bracis-33558	66	34	arg\,max}}\limits	arg\,max}}\limits	X
bracis-33558	66	35	_	_	PUNCT
bracis-33558	67	1	i	i	PRON
bracis-33558	67	2	\mathcal	\mathcal	INTJ
bracis-33558	67	3	{	{	PUNCT
bracis-33558	67	4	y}_{a	y}_{a	PROPN
bracis-33558	67	5	,	,	PUNCT
bracis-33558	67	6	i}\	i}\	NUM
bracis-33558	67	7	)	)	PUNCT
bracis-33558	67	8	,	,	PUNCT
bracis-33558	67	9	signifying	signify	VERB
bracis-33558	67	10	the	the	DET
bracis-33558	67	11	label	label	NOUN
bracis-33558	67	12	with	with	ADP
bracis-33558	67	13	the	the	DET
bracis-33558	67	14	highest	high	ADJ
bracis-33558	67	15	weight	weight	NOUN
bracis-33558	67	16	assigned	assign	VERB
bracis-33558	67	17	to	to	PART
bracis-33558	67	18	vertex	vertex	VERB
bracis-33558	67	19	a	a	PRON
bracis-33558	67	20	by	by	ADP
bracis-33558	67	21	the	the	DET
bracis-33558	67	22	transductive	transductive	ADJ
bracis-33558	67	23	learner	learner	NOUN
bracis-33558	67	24	.	.	PUNCT
bracis-33558	68	1	3	3	NUM
bracis-33558	68	2	coarsening	coarsen	VERB
bracis-33558	68	3	algorithm	algorithm	NOUN
bracis-33558	68	4	for	for	ADP
bracis-33558	68	5	 	 	SPACE
bracis-33558	68	6	k	k	ADJ
bracis-33558	68	7	-	-	ADJ
bracis-33558	68	8	partite	partite	ADJ
bracis-33558	68	9	network	network	NOUN
bracis-33558	68	10	this	this	DET
bracis-33558	68	11	section	section	NOUN
bracis-33558	68	12	presents	present	VERB
bracis-33558	68	13	our	our	PRON
bracis-33558	68	14	proposed	propose	VERB
bracis-33558	68	15	coarsening	coarsen	VERB
bracis-33558	68	16	algorithm	algorithm	NOUN
bracis-33558	68	17	designed	design	VERB
bracis-33558	68	18	to	to	PART
bracis-33558	68	19	reduce	reduce	VERB
bracis-33558	68	20	k	k	ADJ
bracis-33558	68	21	-	-	ADJ
bracis-33558	68	22	partite	partite	ADJ
bracis-33558	68	23	networks	network	NOUN
bracis-33558	68	24	,	,	PUNCT
bracis-33558	68	25	facilitating	facilitate	VERB
bracis-33558	68	26	subsequent	subsequent	ADJ
bracis-33558	68	27	classification	classification	NOUN
bracis-33558	68	28	tasks	task	NOUN
bracis-33558	68	29	.	.	PUNCT
bracis-33558	69	1	the	the	DET
bracis-33558	69	2	algorithm	algorithm	NOUN
bracis-33558	69	3	leverages	leverage	VERB
bracis-33558	69	4	labeled	label	VERB
bracis-33558	69	5	vertices	vertex	NOUN
bracis-33558	69	6	from	from	ADP
bracis-33558	69	7	the	the	DET
bracis-33558	69	8	target	target	NOUN
bracis-33558	69	9	partition	partition	NOUN
bracis-33558	69	10	\(\mathcal	\(\mathcal	ADJ
bracis-33558	69	11	{	{	PUNCT
bracis-33558	69	12	v}_t\	v}_t\	NOUN
bracis-33558	69	13	)	)	PUNCT
bracis-33558	69	14	to	to	PART
bracis-33558	69	15	guide	guide	VERB
bracis-33558	69	16	the	the	DET
bracis-33558	69	17	reduction	reduction	NOUN
bracis-33558	69	18	process	process	NOUN
bracis-33558	69	19	.	.	PUNCT
bracis-33558	70	1	the	the	DET
bracis-33558	70	2	k	k	ADJ
bracis-33558	70	3	-	-	ADJ
bracis-33558	70	4	partite	partite	ADJ
bracis-33558	70	5	network	network	NOUN
bracis-33558	70	6	is	be	AUX
bracis-33558	70	7	initially	initially	ADV
bracis-33558	70	8	decomposed	decompose	VERB
bracis-33558	70	9	into	into	ADP
bracis-33558	70	10	a	a	DET
bracis-33558	70	11	series	series	NOUN
bracis-33558	70	12	of	of	ADP
bracis-33558	70	13	bipartite	bipartite	PROPN
bracis-33558	70	14	networks	network	NOUN
bracis-33558	70	15	,	,	PUNCT
bracis-33558	70	16	where	where	SCONJ
bracis-33558	70	17	pairs	pair	NOUN
bracis-33558	70	18	of	of	ADP
bracis-33558	70	19	partitions	partition	NOUN
bracis-33558	70	20	are	be	AUX
bracis-33558	70	21	selected	select	VERB
bracis-33558	70	22	from	from	ADP
bracis-33558	70	23	the	the	DET
bracis-33558	70	24	original	original	ADJ
bracis-33558	70	25	network	network	NOUN
bracis-33558	70	26	.	.	PUNCT
bracis-33558	71	1	subsequently	subsequently	ADV
bracis-33558	71	2	,	,	PUNCT
bracis-33558	71	3	an	an	DET
bracis-33558	71	4	adaptation	adaptation	NOUN
bracis-33558	71	5	of	of	ADP
bracis-33558	71	6	the	the	DET
bracis-33558	71	7	clpb	clpb	NOUN
bracis-33558	71	8	(	(	PUNCT
bracis-33558	71	9	coarsening	coarsen	VERB
bracis-33558	71	10	strategy	strategy	NOUN
bracis-33558	71	11	via	via	ADP
bracis-33558	71	12	semi	semi	ADJ
bracis-33558	71	13	-	-	ADJ
bracis-33558	71	14	synchronous	synchronous	ADJ
bracis-33558	71	15	label	label	NOUN
bracis-33558	71	16	propagation	propagation	NOUN
bracis-33558	71	17	for	for	ADP
bracis-33558	71	18	bipartite	bipartite	NOUN
bracis-33558	71	19	networks	network	NOUN
bracis-33558	71	20	)	)	PUNCT
bracis-33558	72	1	[	[	X
bracis-33558	72	2	16	16	NUM
bracis-33558	72	3	]	]	X
bracis-33558	72	4	coarsening	coarsen	VERB
bracis-33558	72	5	algorithm	algorithm	NOUN
bracis-33558	72	6	is	be	AUX
bracis-33558	72	7	applied	apply	VERB
bracis-33558	72	8	to	to	ADP
bracis-33558	72	9	these	these	DET
bracis-33558	72	10	partition	partition	NOUN
bracis-33558	72	11	pairs	pair	NOUN
bracis-33558	72	12	,	,	PUNCT
bracis-33558	72	13	wherein	wherein	SCONJ
bracis-33558	72	14	one	one	NUM
bracis-33558	72	15	partition	partition	NOUN
bracis-33558	72	16	acts	act	VERB
bracis-33558	72	17	as	as	ADP
bracis-33558	72	18	the	the	DET
bracis-33558	72	19	propagator	propagator	NOUN
bracis-33558	72	20	partition	partition	NOUN
bracis-33558	72	21	,	,	PUNCT
bracis-33558	72	22	denoted	denote	VERB
bracis-33558	72	23	as	as	ADP
bracis-33558	72	24	\(\mathcal	\(\mathcal	ADJ
bracis-33558	72	25	{	{	PUNCT
bracis-33558	72	26	v}_p\	v}_p\	NOUN
bracis-33558	72	27	)	)	PUNCT
bracis-33558	72	28	,	,	PUNCT
bracis-33558	72	29	and	and	CCONJ
bracis-33558	72	30	the	the	DET
bracis-33558	72	31	other	other	ADJ
bracis-33558	72	32	as	as	ADP
bracis-33558	72	33	the	the	DET
bracis-33558	72	34	receptor	receptor	NOUN
bracis-33558	72	35	partition	partition	NOUN
bracis-33558	72	36	,	,	PUNCT
bracis-33558	72	37	denoted	denote	VERB
bracis-33558	72	38	as	as	ADP
bracis-33558	72	39	\(\mathcal	\(\mathcal	ADJ
bracis-33558	72	40	{	{	PUNCT
bracis-33558	72	41	v}_r\	v}_r\	NOUN
bracis-33558	72	42	)	)	PUNCT
bracis-33558	72	43	.	.	PUNCT
bracis-33558	73	1	the	the	DET
bracis-33558	73	2	coarsening	coarsening	NOUN
bracis-33558	73	3	process	process	NOUN
bracis-33558	73	4	is	be	AUX
bracis-33558	73	5	executed	execute	VERB
bracis-33558	73	6	semi	semi	ADV
bracis-33558	73	7	-	-	ADJ
bracis-33558	73	8	synchronously	synchronously	ADV
bracis-33558	73	9	,	,	PUNCT
bracis-33558	73	10	grouping	group	VERB
bracis-33558	73	11	vertices	vertex	NOUN
bracis-33558	73	12	into	into	ADP
bracis-33558	73	13	super	super	NOUN
bracis-33558	73	14	-	-	NOUN
bracis-33558	73	15	vertices	vertex	NOUN
bracis-33558	73	16	from	from	ADP
bracis-33558	73	17	\(\mathcal	\(\mathcal	ADJ
bracis-33558	73	18	{	{	PUNCT
bracis-33558	73	19	v}_r\	v}_r\	NOUN
bracis-33558	73	20	)	)	PUNCT
bracis-33558	73	21	with	with	ADP
bracis-33558	73	22	identical	identical	ADJ
bracis-33558	73	23	labels	label	NOUN
bracis-33558	73	24	.	.	PUNCT
bracis-33558	74	1	an	an	DET
bracis-33558	74	2	illustration	illustration	NOUN
bracis-33558	74	3	of	of	ADP
bracis-33558	74	4	the	the	DET
bracis-33558	74	5	coarsening	coarsening	NOUN
bracis-33558	74	6	process	process	NOUN
bracis-33558	74	7	in	in	ADP
bracis-33558	74	8	a	a	DET
bracis-33558	74	9	k	k	ADJ
bracis-33558	74	10	-	-	ADJ
bracis-33558	74	11	partite	partite	ADJ
bracis-33558	74	12	network	network	NOUN
bracis-33558	74	13	can	can	AUX
bracis-33558	74	14	be	be	AUX
bracis-33558	74	15	seen	see	VERB
bracis-33558	74	16	in	in	ADP
bracis-33558	74	17	fig	fig	NOUN
bracis-33558	74	18	.	.	PUNCT
bracis-33558	74	19	 	 	SPACE
bracis-33558	75	1	1	1	X
bracis-33558	75	2	.	.	PUNCT
bracis-33558	76	1	this	this	DET
bracis-33558	76	2	coarsening	coarsen	VERB
bracis-33558	76	3	procedure	procedure	NOUN
bracis-33558	76	4	aims	aim	VERB
bracis-33558	76	5	to	to	PART
bracis-33558	76	6	reduce	reduce	VERB
bracis-33558	76	7	the	the	DET
bracis-33558	76	8	overall	overall	ADJ
bracis-33558	76	9	training	training	NOUN
bracis-33558	76	10	time	time	NOUN
bracis-33558	76	11	for	for	ADP
bracis-33558	76	12	transductive	transductive	ADJ
bracis-33558	76	13	learning	learning	NOUN
bracis-33558	76	14	,	,	PUNCT
bracis-33558	76	15	as	as	SCONJ
bracis-33558	76	16	network	network	NOUN
bracis-33558	76	17	-	-	PUNCT
bracis-33558	76	18	based	base	VERB
bracis-33558	76	19	methods	method	NOUN
bracis-33558	76	20	generally	generally	ADV
bracis-33558	76	21	exhibit	exhibit	VERB
bracis-33558	76	22	complexity	complexity	NOUN
bracis-33558	76	23	associated	associate	VERB
bracis-33558	76	24	with	with	ADP
bracis-33558	76	25	the	the	DET
bracis-33558	76	26	number	number	NOUN
bracis-33558	76	27	of	of	ADP
bracis-33558	76	28	vertices	vertex	NOUN
bracis-33558	76	29	and	and	CCONJ
bracis-33558	76	30	edges	edge	NOUN
bracis-33558	76	31	.	.	PUNCT
bracis-33558	77	1	after	after	ADP
bracis-33558	77	2	establishing	establish	VERB
bracis-33558	77	3	label	label	NOUN
bracis-33558	77	4	propagation	propagation	NOUN
bracis-33558	77	5	as	as	ADP
bracis-33558	77	6	a	a	DET
bracis-33558	77	7	matching	matching	NOUN
bracis-33558	77	8	approach	approach	NOUN
bracis-33558	77	9	for	for	ADP
bracis-33558	77	10	each	each	DET
bracis-33558	77	11	bipartition	bipartition	NOUN
bracis-33558	77	12	,	,	PUNCT
bracis-33558	77	13	the	the	DET
bracis-33558	77	14	next	next	ADJ
bracis-33558	77	15	crucial	crucial	ADJ
bracis-33558	77	16	step	step	NOUN
bracis-33558	77	17	is	be	AUX
bracis-33558	77	18	determining	determine	VERB
bracis-33558	77	19	the	the	DET
bracis-33558	77	20	strategy	strategy	NOUN
bracis-33558	77	21	for	for	ADP
bracis-33558	77	22	selecting	select	VERB
bracis-33558	77	23	the	the	DET
bracis-33558	77	24	pairs	pair	NOUN
bracis-33558	77	25	of	of	ADP
bracis-33558	77	26	partitions	partition	NOUN
bracis-33558	77	27	and	and	CCONJ
bracis-33558	77	28	the	the	DET
bracis-33558	77	29	order	order	NOUN
bracis-33558	77	30	in	in	ADP
bracis-33558	77	31	which	which	PRON
bracis-33558	77	32	the	the	DET
bracis-33558	77	33	clpb	clpb	NOUN
bracis-33558	77	34	algorithm	algorithm	NOUN
bracis-33558	77	35	will	will	AUX
bracis-33558	77	36	be	be	AUX
bracis-33558	77	37	applied	apply	VERB
bracis-33558	77	38	.	.	PUNCT
bracis-33558	78	1	when	when	SCONJ
bracis-33558	78	2	considering	consider	VERB
bracis-33558	78	3	all	all	DET
bracis-33558	78	4	possible	possible	ADJ
bracis-33558	78	5	partition	partition	NOUN
bracis-33558	78	6	pairs	pair	NOUN
bracis-33558	78	7	,	,	PUNCT
bracis-33558	78	8	networks	network	NOUN
bracis-33558	78	9	with	with	ADP
bracis-33558	78	10	high	high	ADJ
bracis-33558	78	11	connectivity	connectivity	NOUN
bracis-33558	78	12	schemas	schema	NOUN
bracis-33558	78	13	can	can	AUX
bracis-33558	78	14	lead	lead	VERB
bracis-33558	78	15	to	to	ADP
bracis-33558	78	16	numerous	numerous	ADJ
bracis-33558	78	17	procedures	procedure	NOUN
bracis-33558	78	18	,	,	PUNCT
bracis-33558	78	19	resulting	result	VERB
bracis-33558	78	20	in	in	ADP
bracis-33558	78	21	a	a	DET
bracis-33558	78	22	quadratic	quadratic	ADJ
bracis-33558	78	23	complexity	complexity	NOUN
bracis-33558	78	24	concerning	concern	VERB
bracis-33558	78	25	the	the	DET
bracis-33558	78	26	number	number	NOUN
bracis-33558	78	27	of	of	ADP
bracis-33558	78	28	vertices	vertex	NOUN
bracis-33558	78	29	[	[	X
bracis-33558	78	30	15	15	NUM
bracis-33558	78	31	]	]	PUNCT
bracis-33558	78	32	.	.	PUNCT
bracis-33558	79	1	moreover	moreover	ADV
bracis-33558	79	2	,	,	PUNCT
bracis-33558	79	3	cycles	cycle	NOUN
bracis-33558	79	4	in	in	ADP
bracis-33558	79	5	the	the	DET
bracis-33558	79	6	network	network	NOUN
bracis-33558	79	7	schema	schema	NOUN
bracis-33558	79	8	would	would	AUX
bracis-33558	79	9	cause	cause	VERB
bracis-33558	79	10	information	information	NOUN
bracis-33558	79	11	repetition	repetition	NOUN
bracis-33558	79	12	.	.	PUNCT
bracis-33558	80	1	to	to	PART
bracis-33558	80	2	address	address	VERB
bracis-33558	80	3	these	these	DET
bracis-33558	80	4	challenges	challenge	NOUN
bracis-33558	80	5	,	,	PUNCT
bracis-33558	80	6	our	our	PRON
bracis-33558	80	7	objective	objective	NOUN
bracis-33558	80	8	was	be	AUX
bracis-33558	80	9	to	to	PART
bracis-33558	80	10	identify	identify	VERB
bracis-33558	80	11	,	,	PUNCT
bracis-33558	80	12	for	for	ADP
bracis-33558	80	13	each	each	DET
bracis-33558	80	14	partition	partition	NOUN
bracis-33558	80	15	,	,	PUNCT
bracis-33558	80	16	the	the	DET
bracis-33558	80	17	most	most	ADV
bracis-33558	80	18	suitable	suitable	ADJ
bracis-33558	80	19	neighboring	neighboring	NOUN
bracis-33558	80	20	partition	partition	NOUN
bracis-33558	80	21	to	to	PART
bracis-33558	80	22	serve	serve	VERB
bracis-33558	80	23	as	as	ADP
bracis-33558	80	24	a	a	DET
bracis-33558	80	25	pair	pair	NOUN
bracis-33558	80	26	in	in	ADP
bracis-33558	80	27	the	the	DET
bracis-33558	80	28	bipartite	bipartite	PROPN
bracis-33558	80	29	coarsening	coarsening	NOUN
bracis-33558	80	30	procedure	procedure	NOUN
bracis-33558	80	31	.	.	PUNCT
bracis-33558	81	1	this	this	DET
bracis-33558	81	2	neighboring	neighboring	NOUN
bracis-33558	81	3	partition	partition	NOUN
bracis-33558	81	4	,	,	PUNCT
bracis-33558	81	5	acting	act	VERB
bracis-33558	81	6	as	as	ADP
bracis-33558	81	7	the	the	DET
bracis-33558	81	8	pair	pair	NOUN
bracis-33558	81	9	,	,	PUNCT
bracis-33558	81	10	is	be	AUX
bracis-33558	81	11	called	call	VERB
bracis-33558	81	12	the	the	DET
bracis-33558	81	13	“	"	PUNCT
bracis-33558	81	14	guide	guide	NOUN
bracis-33558	81	15	partition	partition	NOUN
bracis-33558	81	16	.	.	PUNCT
bracis-33558	81	17	”	"	PUNCT
bracis-33558	82	1	one	one	NUM
bracis-33558	82	2	approach	approach	NOUN
bracis-33558	82	3	to	to	ADP
bracis-33558	82	4	reducing	reduce	VERB
bracis-33558	82	5	the	the	DET
bracis-33558	82	6	number	number	NOUN
bracis-33558	82	7	of	of	ADP
bracis-33558	82	8	partition	partition	NOUN
bracis-33558	82	9	pairs	pair	NOUN
bracis-33558	82	10	used	use	VERB
bracis-33558	82	11	is	be	AUX
bracis-33558	82	12	to	to	PART
bracis-33558	82	13	identify	identify	VERB
bracis-33558	82	14	paths	path	NOUN
bracis-33558	82	15	in	in	ADP
bracis-33558	82	16	the	the	DET
bracis-33558	82	17	schema	schema	NOUN
bracis-33558	82	18	of	of	ADP
bracis-33558	82	19	the	the	DET
bracis-33558	82	20	k	k	ADJ
bracis-33558	82	21	-	-	ADJ
bracis-33558	82	22	partite	partite	ADJ
bracis-33558	82	23	network	network	NOUN
bracis-33558	82	24	[	[	X
bracis-33558	82	25	17	17	NUM
bracis-33558	82	26	]	]	PUNCT
bracis-33558	82	27	.	.	PUNCT
bracis-33558	83	1	given	give	VERB
bracis-33558	83	2	that	that	SCONJ
bracis-33558	83	3	only	only	ADV
bracis-33558	83	4	the	the	DET
bracis-33558	83	5	target	target	NOUN
bracis-33558	83	6	partition	partition	NOUN
bracis-33558	83	7	possesses	possesse	NOUN
bracis-33558	83	8	label	label	NOUN
bracis-33558	83	9	information	information	NOUN
bracis-33558	83	10	initially	initially	ADV
bracis-33558	83	11	,	,	PUNCT
bracis-33558	83	12	a	a	DET
bracis-33558	83	13	logical	logical	ADJ
bracis-33558	83	14	strategy	strategy	NOUN
bracis-33558	83	15	for	for	ADP
bracis-33558	83	16	the	the	DET
bracis-33558	83	17	coarsening	coarsen	VERB
bracis-33558	83	18	procedure	procedure	NOUN
bracis-33558	83	19	is	be	AUX
bracis-33558	83	20	to	to	PART
bracis-33558	83	21	propagate	propagate	VERB
bracis-33558	83	22	the	the	DET
bracis-33558	83	23	information	information	NOUN
bracis-33558	83	24	from	from	ADP
bracis-33558	83	25	the	the	DET
bracis-33558	83	26	target	target	NOUN
bracis-33558	83	27	partition	partition	NOUN
bracis-33558	83	28	to	to	ADP
bracis-33558	83	29	others	other	NOUN
bracis-33558	83	30	,	,	PUNCT
bracis-33558	83	31	leveraging	leverage	VERB
bracis-33558	83	32	the	the	DET
bracis-33558	83	33	label	label	NOUN
bracis-33558	83	34	information	information	NOUN
bracis-33558	83	35	during	during	ADP
bracis-33558	83	36	the	the	DET
bracis-33558	83	37	matching	matching	NOUN
bracis-33558	83	38	phase	phase	NOUN
bracis-33558	83	39	.	.	PUNCT
bracis-33558	84	1	shorter	short	ADJ
bracis-33558	84	2	paths	path	NOUN
bracis-33558	84	3	tend	tend	VERB
bracis-33558	84	4	to	to	PART
bracis-33558	84	5	indicate	indicate	VERB
bracis-33558	84	6	stronger	strong	ADJ
bracis-33558	84	7	relationships	relationship	NOUN
bracis-33558	84	8	between	between	ADP
bracis-33558	84	9	vertices	vertex	NOUN
bracis-33558	84	10	[	[	X
bracis-33558	84	11	18	18	NUM
bracis-33558	84	12	]	]	PUNCT
bracis-33558	84	13	,	,	PUNCT
bracis-33558	84	14	making	make	VERB
bracis-33558	84	15	the	the	DET
bracis-33558	84	16	selection	selection	NOUN
bracis-33558	84	17	of	of	ADP
bracis-33558	84	18	the	the	DET
bracis-33558	84	19	shortest	short	ADJ
bracis-33558	84	20	metapath	metapath	NOUN
bracis-33558	84	21	between	between	ADP
bracis-33558	84	22	the	the	DET
bracis-33558	84	23	two	two	NUM
bracis-33558	84	24	partitions	partition	NOUN
bracis-33558	84	25	preferable	preferable	ADJ
bracis-33558	84	26	.	.	PUNCT
bracis-33558	85	1	the	the	DET
bracis-33558	85	2	objective	objective	NOUN
bracis-33558	85	3	is	be	AUX
bracis-33558	85	4	to	to	PART
bracis-33558	85	5	perform	perform	VERB
bracis-33558	85	6	coarsening	coarsen	VERB
bracis-33558	85	7	on	on	ADP
bracis-33558	85	8	all	all	DET
bracis-33558	85	9	non	non	ADJ
bracis-33558	85	10	-	-	ADJ
bracis-33558	85	11	target	target	ADJ
bracis-33558	85	12	partitions	partition	NOUN
bracis-33558	85	13	following	follow	VERB
bracis-33558	85	14	a	a	DET
bracis-33558	85	15	metapath	metapath	NOUN
bracis-33558	85	16	.	.	PUNCT
bracis-33558	86	1	the	the	DET
bracis-33558	86	2	procedure	procedure	NOUN
bracis-33558	86	3	is	be	AUX
bracis-33558	86	4	executed	execute	VERB
bracis-33558	86	5	synchronously	synchronously	ADV
bracis-33558	86	6	,	,	PUNCT
bracis-33558	86	7	one	one	NUM
bracis-33558	86	8	partition	partition	NOUN
bracis-33558	86	9	pair	pair	NOUN
bracis-33558	86	10	at	at	ADP
bracis-33558	86	11	a	a	DET
bracis-33558	86	12	time	time	NOUN
bracis-33558	86	13	,	,	PUNCT
bracis-33558	86	14	with	with	SCONJ
bracis-33558	86	15	the	the	DET
bracis-33558	86	16	partition	partition	NOUN
bracis-33558	86	17	pairs	pair	NOUN
bracis-33558	86	18	selected	select	VERB
bracis-33558	86	19	radially	radially	ADV
bracis-33558	86	20	,	,	PUNCT
bracis-33558	86	21	starting	start	VERB
bracis-33558	86	22	from	from	ADP
bracis-33558	86	23	the	the	DET
bracis-33558	86	24	target	target	NOUN
bracis-33558	86	25	partition	partition	NOUN
bracis-33558	86	26	.	.	PUNCT
bracis-33558	87	1	initially	initially	ADV
bracis-33558	87	2	,	,	PUNCT
bracis-33558	87	3	guide	guide	VERB
bracis-33558	87	4	partitions	partition	NOUN
bracis-33558	87	5	at	at	ADP
bracis-33558	87	6	a	a	DET
bracis-33558	87	7	1	1	NUM
bracis-33558	87	8	-	-	PUNCT
bracis-33558	87	9	hop	hop	NOUN
bracis-33558	87	10	distance	distance	NOUN
bracis-33558	87	11	from	from	ADP
bracis-33558	87	12	the	the	DET
bracis-33558	87	13	target	target	NOUN
bracis-33558	87	14	are	be	AUX
bracis-33558	87	15	coarsened	coarsen	VERB
bracis-33558	87	16	,	,	PUNCT
bracis-33558	87	17	followed	follow	VERB
bracis-33558	87	18	by	by	ADP
bracis-33558	87	19	those	those	PRON
bracis-33558	87	20	at	at	ADP
bracis-33558	87	21	a	a	DET
bracis-33558	87	22	2	2	NUM
bracis-33558	87	23	-	-	PUNCT
bracis-33558	87	24	hop	hop	NOUN
bracis-33558	87	25	distance	distance	NOUN
bracis-33558	87	26	,	,	PUNCT
bracis-33558	87	27	and	and	CCONJ
bracis-33558	87	28	so	so	ADV
bracis-33558	87	29	on	on	ADV
bracis-33558	87	30	.	.	PUNCT
bracis-33558	88	1	when	when	SCONJ
bracis-33558	88	2	reducing	reduce	VERB
bracis-33558	88	3	each	each	DET
bracis-33558	88	4	guide	guide	NOUN
bracis-33558	88	5	partition	partition	NOUN
bracis-33558	88	6	,	,	PUNCT
bracis-33558	88	7	the	the	DET
bracis-33558	88	8	pair	pair	NOUN
bracis-33558	88	9	used	use	VERB
bracis-33558	88	10	is	be	AUX
bracis-33558	88	11	the	the	DET
bracis-33558	88	12	neighboring	neighboring	NOUN
bracis-33558	88	13	partition	partition	NOUN
bracis-33558	88	14	within	within	ADP
bracis-33558	88	15	the	the	DET
bracis-33558	88	16	metapath	metapath	NOUN
bracis-33558	88	17	that	that	PRON
bracis-33558	88	18	leads	lead	VERB
bracis-33558	88	19	from	from	ADP
bracis-33558	88	20	the	the	DET
bracis-33558	88	21	partition	partition	NOUN
bracis-33558	88	22	being	be	AUX
bracis-33558	88	23	reduced	reduce	VERB
bracis-33558	88	24	towards	towards	ADP
bracis-33558	88	25	the	the	DET
bracis-33558	88	26	target	target	NOUN
bracis-33558	88	27	partition	partition	NOUN
bracis-33558	88	28	.	.	PUNCT
bracis-33558	89	1	this	this	DET
bracis-33558	89	2	chosen	choose	VERB
bracis-33558	89	3	order	order	NOUN
bracis-33558	89	4	serves	serve	VERB
bracis-33558	89	5	two	two	NUM
bracis-33558	89	6	purposes	purpose	NOUN
bracis-33558	89	7	:	:	PUNCT
bracis-33558	89	8	it	it	PRON
bracis-33558	89	9	propagates	propagate	VERB
bracis-33558	89	10	the	the	DET
bracis-33558	89	11	label	label	NOUN
bracis-33558	89	12	information	information	NOUN
bracis-33558	89	13	initially	initially	ADV
bracis-33558	89	14	present	present	VERB
bracis-33558	89	15	in	in	ADP
bracis-33558	89	16	the	the	DET
bracis-33558	89	17	target	target	NOUN
bracis-33558	89	18	partition	partition	NOUN
bracis-33558	89	19	,	,	PUNCT
bracis-33558	89	20	and	and	CCONJ
bracis-33558	89	21	it	it	PRON
bracis-33558	89	22	ensures	ensure	VERB
bracis-33558	89	23	that	that	SCONJ
bracis-33558	89	24	the	the	DET
bracis-33558	89	25	selected	select	VERB
bracis-33558	89	26	neighbor	neighbor	NOUN
bracis-33558	89	27	partition	partition	NOUN
bracis-33558	89	28	has	have	AUX
bracis-33558	89	29	already	already	ADV
bracis-33558	89	30	undergone	undergo	VERB
bracis-33558	89	31	a	a	DET
bracis-33558	89	32	reduction	reduction	NOUN
bracis-33558	89	33	in	in	ADP
bracis-33558	89	34	the	the	DET
bracis-33558	89	35	previous	previous	ADJ
bracis-33558	89	36	coarsening	coarsening	NOUN
bracis-33558	89	37	process	process	NOUN
bracis-33558	89	38	(	(	PUNCT
bracis-33558	89	39	except	except	SCONJ
bracis-33558	89	40	in	in	ADP
bracis-33558	89	41	the	the	DET
bracis-33558	89	42	first	first	ADJ
bracis-33558	89	43	iteration	iteration	NOUN
bracis-33558	89	44	)	)	PUNCT
bracis-33558	89	45	.	.	PUNCT
bracis-33558	90	1	the	the	DET
bracis-33558	90	2	process	process	NOUN
bracis-33558	90	3	is	be	AUX
bracis-33558	90	4	illustrated	illustrate	VERB
bracis-33558	90	5	in	in	ADP
bracis-33558	90	6	fig	fig	NOUN
bracis-33558	90	7	.	.	PUNCT
bracis-33558	90	8	 	 	SPACE
bracis-33558	91	1	2	2	NUM
bracis-33558	91	2	.	.	X
bracis-33558	91	3	fig	fig	NOUN
bracis-33558	91	4	.	.	PUNCT
bracis-33558	92	1	2	2	X
bracis-33558	92	2	.	.	X
bracis-33558	92	3	the	the	DET
bracis-33558	92	4	coarsening	coarsening	NOUN
bracis-33558	92	5	process	process	NOUN
bracis-33558	92	6	is	be	AUX
bracis-33558	92	7	executed	execute	VERB
bracis-33558	92	8	radially	radially	ADV
bracis-33558	92	9	,	,	PUNCT
bracis-33558	92	10	beginning	begin	VERB
bracis-33558	92	11	from	from	ADP
bracis-33558	92	12	the	the	DET
bracis-33558	92	13	target	target	NOUN
bracis-33558	92	14	partition	partition	NOUN
bracis-33558	92	15	\(s_t	\(s_t	PROPN
bracis-33558	92	16	=	=	SYM
bracis-33558	92	17	s_1\	s_1\	PROPN
bracis-33558	92	18	)	)	PUNCT
bracis-33558	92	19	.	.	PUNCT
bracis-33558	93	1	the	the	DET
bracis-33558	93	2	first	first	ADJ
bracis-33558	93	3	step	step	NOUN
bracis-33558	93	4	involves	involve	VERB
bracis-33558	93	5	performing	perform	VERB
bracis-33558	93	6	coarsening	coarsening	NOUN
bracis-33558	93	7	on	on	ADP
bracis-33558	93	8	the	the	DET
bracis-33558	93	9	immediate	immediate	ADJ
bracis-33558	93	10	neighbors	neighbor	NOUN
bracis-33558	93	11	of	of	ADP
bracis-33558	93	12	\(s_1\	\(s_1\	NOUN
bracis-33558	93	13	)	)	PUNCT
bracis-33558	93	14	(	(	PUNCT
bracis-33558	93	15	in	in	ADP
bracis-33558	93	16	(	(	PUNCT
bracis-33558	93	17	b	b	NOUN
bracis-33558	93	18	)	)	PUNCT
bracis-33558	93	19	)	)	PUNCT
bracis-33558	93	20	,	,	PUNCT
bracis-33558	93	21	which	which	PRON
bracis-33558	93	22	are	be	AUX
bracis-33558	93	23	solely	solely	ADV
bracis-33558	93	24	influenced	influence	VERB
bracis-33558	93	25	by	by	ADP
bracis-33558	93	26	the	the	DET
bracis-33558	93	27	target	target	NOUN
bracis-33558	93	28	partition	partition	NOUN
bracis-33558	93	29	.	.	PUNCT
bracis-33558	94	1	subsequently	subsequently	ADV
bracis-33558	94	2	,	,	PUNCT
bracis-33558	94	3	coarsening	coarsening	NOUN
bracis-33558	94	4	is	be	AUX
bracis-33558	94	5	applied	apply	VERB
bracis-33558	94	6	to	to	ADP
bracis-33558	94	7	partitions	partition	NOUN
bracis-33558	94	8	that	that	PRON
bracis-33558	94	9	are	be	AUX
bracis-33558	94	10	farther	far	ADV
bracis-33558	94	11	away	away	ADV
bracis-33558	94	12	from	from	ADP
bracis-33558	94	13	\(s_t\	\(s_t\	ADJ
bracis-33558	94	14	)	)	PUNCT
bracis-33558	94	15	(	(	PUNCT
bracis-33558	94	16	in	in	ADP
bracis-33558	94	17	(	(	PUNCT
bracis-33558	94	18	c	c	NOUN
bracis-33558	94	19	)	)	PUNCT
bracis-33558	94	20	)	)	PUNCT
bracis-33558	94	21	,	,	PUNCT
bracis-33558	94	22	with	with	SCONJ
bracis-33558	94	23	these	these	DET
bracis-33558	94	24	partitions	partition	NOUN
bracis-33558	94	25	being	be	AUX
bracis-33558	94	26	influenced	influence	VERB
bracis-33558	94	27	only	only	ADV
bracis-33558	94	28	by	by	ADP
bracis-33558	94	29	their	their	PRON
bracis-33558	94	30	respective	respective	ADJ
bracis-33558	94	31	guide	guide	NOUN
bracis-33558	94	32	partitions	partition	NOUN
bracis-33558	94	33	,	,	PUNCT
bracis-33558	94	34	which	which	PRON
bracis-33558	94	35	carry	carry	VERB
bracis-33558	94	36	structural	structural	ADJ
bracis-33558	94	37	information	information	NOUN
bracis-33558	94	38	from	from	ADP
bracis-33558	94	39	\(s_a\	\(s_a\	NOUN
bracis-33558	94	40	)	)	PUNCT
bracis-33558	94	41	.	.	PUNCT
bracis-33558	95	1	full	full	ADJ
bracis-33558	95	2	size	size	NOUN
bracis-33558	95	3	image	image	NOUN
bracis-33558	95	4	3.1	3.1	NUM
bracis-33558	95	5	algorithm	algorithm	NOUN
bracis-33558	95	6	description	description	NOUN
bracis-33558	95	7	the	the	DET
bracis-33558	95	8	coarsening	coarsening	NOUN
bracis-33558	95	9	procedure	procedure	NOUN
bracis-33558	95	10	for	for	ADP
bracis-33558	95	11	a	a	DET
bracis-33558	95	12	k	k	ADJ
bracis-33558	95	13	-	-	ADJ
bracis-33558	95	14	partite	partite	ADJ
bracis-33558	95	15	network	network	NOUN
bracis-33558	95	16	is	be	AUX
bracis-33558	95	17	outlined	outline	VERB
bracis-33558	95	18	in	in	ADP
bracis-33558	95	19	algorithm	algorithm	NOUN
bracis-33558	95	20	 	 	SPACE
bracis-33558	95	21	1	1	NUM
bracis-33558	95	22	.	.	PUNCT
bracis-33558	96	1	it	it	PRON
bracis-33558	96	2	takes	take	VERB
bracis-33558	96	3	as	as	ADP
bracis-33558	96	4	input	input	NOUN
bracis-33558	96	5	a	a	DET
bracis-33558	96	6	k	k	ADJ
bracis-33558	96	7	-	-	ADJ
bracis-33558	96	8	partite	partite	ADJ
bracis-33558	96	9	network	network	NOUN
bracis-33558	96	10	\(g=(v	\(g=(v	VERB
bracis-33558	96	11	,	,	PUNCT
bracis-33558	96	12	e)\	e)\	NOUN
bracis-33558	96	13	)	)	PUNCT
bracis-33558	96	14	,	,	PUNCT
bracis-33558	96	15	a	a	DET
bracis-33558	96	16	schema	schema	NOUN
bracis-33558	96	17	s(g	s(g	PROPN
bracis-33558	96	18	)	)	PUNCT
bracis-33558	96	19	of	of	ADP
bracis-33558	96	20	the	the	DET
bracis-33558	96	21	k	k	ADJ
bracis-33558	96	22	-	-	ADJ
bracis-33558	96	23	partite	partite	ADJ
bracis-33558	96	24	network	network	NOUN
bracis-33558	96	25	,	,	PUNCT
bracis-33558	96	26	and	and	CCONJ
bracis-33558	96	27	a	a	DET
bracis-33558	96	28	vertex	vertex	NOUN
bracis-33558	96	29	\(\mathcal	\(\mathcal	ADJ
bracis-33558	96	30	{	{	PUNCT
bracis-33558	96	31	s}^t\	s}^t\	NOUN
bracis-33558	96	32	)	)	PUNCT
bracis-33558	96	33	in	in	ADP
bracis-33558	96	34	schema	schema	NOUN
bracis-33558	96	35	s(g	s(g	PROPN
bracis-33558	96	36	)	)	PUNCT
bracis-33558	96	37	corresponding	correspond	VERB
bracis-33558	96	38	to	to	ADP
bracis-33558	96	39	the	the	DET
bracis-33558	96	40	target	target	NOUN
bracis-33558	96	41	partition	partition	NOUN
bracis-33558	96	42	\(\mathcal	\(\mathcal	ADJ
bracis-33558	96	43	{	{	PUNCT
bracis-33558	96	44	v}_t\	v}_t\	NOUN
bracis-33558	96	45	)	)	PUNCT
bracis-33558	96	46	.	.	PUNCT
bracis-33558	97	1	the	the	DET
bracis-33558	97	2	algorithm	algorithm	NOUN
bracis-33558	97	3	’s	’s	PART
bracis-33558	97	4	output	output	NOUN
bracis-33558	97	5	is	be	AUX
bracis-33558	97	6	a	a	DET
bracis-33558	97	7	coarsened	coarsened	ADJ
bracis-33558	97	8	version	version	NOUN
bracis-33558	97	9	of	of	ADP
bracis-33558	97	10	the	the	DET
bracis-33558	97	11	k	k	ADJ
bracis-33558	97	12	-	-	ADJ
bracis-33558	97	13	partite	partite	ADJ
bracis-33558	97	14	network	network	NOUN
bracis-33558	97	15	g.	g.	NOUN
bracis-33558	97	16	consider	consider	VERB
bracis-33558	97	17	\(p_i\	\(p_i\	NOUN
bracis-33558	97	18	)	)	PUNCT
bracis-33558	97	19	as	as	ADP
bracis-33558	97	20	the	the	DET
bracis-33558	97	21	shortest	short	ADJ
bracis-33558	97	22	metapath	metapath	NOUN
bracis-33558	97	23	that	that	PRON
bracis-33558	97	24	originates	originate	VERB
bracis-33558	97	25	from	from	ADP
bracis-33558	97	26	the	the	DET
bracis-33558	97	27	labeled	label	VERB
bracis-33558	97	28	target	target	NOUN
bracis-33558	97	29	partition	partition	NOUN
bracis-33558	97	30	\(s^t\	\(s^t\	NOUN
bracis-33558	97	31	)	)	PUNCT
bracis-33558	97	32	and	and	CCONJ
bracis-33558	97	33	terminates	terminate	VERB
bracis-33558	97	34	at	at	ADP
bracis-33558	97	35	the	the	DET
bracis-33558	97	36	non	non	ADJ
bracis-33558	97	37	-	-	ADJ
bracis-33558	97	38	target	target	ADJ
bracis-33558	97	39	partition	partition	NOUN
bracis-33558	97	40	\(s^i\	\(s^i\	NOUN
bracis-33558	97	41	)	)	PUNCT
bracis-33558	97	42	.	.	PUNCT
bracis-33558	98	1	the	the	DET
bracis-33558	98	2	algorithm	algorithm	NOUN
bracis-33558	98	3	chooses	choose	VERB
bracis-33558	98	4	the	the	DET
bracis-33558	98	5	first	first	ADJ
bracis-33558	98	6	one	one	NUM
bracis-33558	98	7	found	find	VERB
bracis-33558	98	8	in	in	ADP
bracis-33558	98	9	cases	case	NOUN
bracis-33558	98	10	where	where	SCONJ
bracis-33558	98	11	multiple	multiple	ADJ
bracis-33558	98	12	shortest	short	ADJ
bracis-33558	98	13	metapaths	metapath	NOUN
bracis-33558	98	14	exist	exist	VERB
bracis-33558	98	15	.	.	PUNCT
bracis-33558	99	1	for	for	ADP
bracis-33558	99	2	each	each	DET
bracis-33558	99	3	\(s^i\	\(s^i\	NOUN
bracis-33558	99	4	)	)	PUNCT
bracis-33558	99	5	,	,	PUNCT
bracis-33558	99	6	a	a	DET
bracis-33558	99	7	partition	partition	NOUN
bracis-33558	99	8	\(s_{j}\	\(s_{j}\	PROPN
bracis-33558	99	9	)	)	PUNCT
bracis-33558	99	10	at	at	ADP
bracis-33558	99	11	a	a	DET
bracis-33558	99	12	1	1	NUM
bracis-33558	99	13	-	-	PUNCT
bracis-33558	99	14	hop	hop	NOUN
bracis-33558	99	15	distance	distance	NOUN
bracis-33558	99	16	from	from	ADP
bracis-33558	99	17	\(p_i\	\(p_i\	NOUN
bracis-33558	99	18	)	)	PUNCT
bracis-33558	99	19	is	be	AUX
bracis-33558	99	20	selected	select	VERB
bracis-33558	99	21	as	as	ADP
bracis-33558	99	22	the	the	DET
bracis-33558	99	23	“	"	PUNCT
bracis-33558	99	24	guide	guide	NOUN
bracis-33558	99	25	partition	partition	NOUN
bracis-33558	99	26	.	.	PUNCT
bracis-33558	99	27	”	"	PUNCT
bracis-33558	100	1	the	the	DET
bracis-33558	100	2	coarsening	coarsening	NOUN
bracis-33558	100	3	process	process	NOUN
bracis-33558	100	4	begins	begin	VERB
bracis-33558	100	5	with	with	ADP
bracis-33558	100	6	a	a	DET
bracis-33558	100	7	breadth	breadth	NOUN
bracis-33558	100	8	-	-	PUNCT
bracis-33558	100	9	first	first	ADJ
bracis-33558	100	10	search	search	NOUN
bracis-33558	100	11	,	,	PUNCT
bracis-33558	100	12	starting	start	VERB
bracis-33558	100	13	from	from	ADP
bracis-33558	100	14	\(\mathcal	\(\mathcal	ADJ
bracis-33558	100	15	{	{	PUNCT
bracis-33558	100	16	v}_t\	v}_t\	NOUN
bracis-33558	100	17	)	)	PUNCT
bracis-33558	100	18	,	,	PUNCT
bracis-33558	100	19	to	to	PART
bracis-33558	100	20	select	select	VERB
bracis-33558	100	21	a	a	DET
bracis-33558	100	22	non	non	ADJ
bracis-33558	100	23	-	-	ADJ
bracis-33558	100	24	target	target	ADJ
bracis-33558	100	25	partition	partition	NOUN
bracis-33558	100	26	\(\mathcal	\(\mathcal	ADJ
bracis-33558	100	27	{	{	PUNCT
bracis-33558	100	28	v}_i\	v}_i\	NOUN
bracis-33558	100	29	)	)	PUNCT
bracis-33558	100	30	using	use	VERB
bracis-33558	100	31	a	a	DET
bracis-33558	100	32	guide	guide	NOUN
bracis-33558	100	33	partition	partition	NOUN
bracis-33558	100	34	\(\mathcal	\(\mathcal	ADJ
bracis-33558	100	35	{	{	PUNCT
bracis-33558	100	36	v}_j\	v}_j\	NOUN
bracis-33558	100	37	)	)	PUNCT
bracis-33558	100	38	.	.	PUNCT
bracis-33558	101	1	the	the	DET
bracis-33558	101	2	objective	objective	NOUN
bracis-33558	101	3	is	be	AUX
bracis-33558	101	4	to	to	PART
bracis-33558	101	5	replace	replace	VERB
bracis-33558	101	6	the	the	DET
bracis-33558	101	7	bipartite	bipartite	PROPN
bracis-33558	101	8	subnetwork	subnetwork	NOUN
bracis-33558	101	9	\(g_i=(\mathcal	\(g_i=(\mathcal	ADJ
bracis-33558	101	10	{	{	PUNCT
bracis-33558	101	11	v}_j	v}_j	NOUN
bracis-33558	101	12	,	,	PUNCT
bracis-33558	101	13	\mathcal	\mathcal	X
bracis-33558	101	14	{	{	PUNCT
bracis-33558	101	15	v}_i	v}_i	ADV
bracis-33558	101	16	,	,	PUNCT
bracis-33558	101	17	e_i)\	e_i)\	NOUN
bracis-33558	101	18	)	)	PUNCT
bracis-33558	101	19	in	in	ADP
bracis-33558	101	20	g	g	NOUN
bracis-33558	101	21	with	with	ADP
bracis-33558	101	22	its	its	PRON
bracis-33558	101	23	condensed	condense	VERB
bracis-33558	101	24	version	version	NOUN
bracis-33558	101	25	\(g_i^c=(\mathcal	\(g_i^c=(\mathcal	PROPN
bracis-33558	101	26	{	{	PUNCT
bracis-33558	101	27	v}_j	v}_j	NOUN
bracis-33558	101	28	,	,	PUNCT
bracis-33558	101	29	\mathcal	\mathcal	PROPN
bracis-33558	101	30	{	{	PUNCT
bracis-33558	101	31	v}_i^c	v}_i^c	NOUN
bracis-33558	101	32	,	,	PUNCT
bracis-33558	101	33	e_i^c)\	e_i^c)\	NOUN
bracis-33558	101	34	)	)	PUNCT
bracis-33558	101	35	,	,	PUNCT
bracis-33558	101	36	consisting	consist	VERB
bracis-33558	101	37	of	of	ADP
bracis-33558	101	38	super	super	NOUN
bracis-33558	101	39	-	-	ADJ
bracis-33558	101	40	nodes	node	NOUN
bracis-33558	101	41	and	and	CCONJ
bracis-33558	101	42	super	super	ADJ
bracis-33558	101	43	-	-	ADJ
bracis-33558	101	44	edges	edge	NOUN
bracis-33558	101	45	obtained	obtain	VERB
bracis-33558	101	46	during	during	ADP
bracis-33558	101	47	coarsening	coarsening	NOUN
bracis-33558	101	48	.	.	PUNCT
bracis-33558	102	1	it	it	PRON
bracis-33558	102	2	is	be	AUX
bracis-33558	102	3	essential	essential	ADJ
bracis-33558	102	4	to	to	PART
bracis-33558	102	5	note	note	VERB
bracis-33558	102	6	that	that	SCONJ
bracis-33558	102	7	although	although	SCONJ
bracis-33558	102	8	the	the	DET
bracis-33558	102	9	guide	guide	NOUN
bracis-33558	102	10	partition	partition	NOUN
bracis-33558	102	11	\(\mathcal	\(\mathcal	ADJ
bracis-33558	102	12	{	{	PUNCT
bracis-33558	102	13	v}_j\	v}_j\	NOUN
bracis-33558	102	14	)	)	PUNCT
bracis-33558	102	15	supports	support	VERB
bracis-33558	102	16	the	the	DET
bracis-33558	102	17	bipartite	bipartite	PROPN
bracis-33558	102	18	coarsening	coarsening	NOUN
bracis-33558	102	19	process	process	NOUN
bracis-33558	102	20	,	,	PUNCT
bracis-33558	102	21	only	only	ADV
bracis-33558	102	22	the	the	DET
bracis-33558	102	23	partition	partition	NOUN
bracis-33558	102	24	\(\mathcal	\(\mathcal	ADJ
bracis-33558	102	25	{	{	PUNCT
bracis-33558	102	26	v}_i\	v}_i\	NOUN
bracis-33558	102	27	)	)	PUNCT
bracis-33558	102	28	is	be	AUX
bracis-33558	102	29	updated	update	VERB
bracis-33558	102	30	in	in	ADP
bracis-33558	102	31	the	the	DET
bracis-33558	102	32	network	network	NOUN
bracis-33558	102	33	g	g	NOUN
bracis-33558	102	34	at	at	ADP
bracis-33558	102	35	a	a	DET
bracis-33558	102	36	time	time	NOUN
bracis-33558	102	37	(	(	PUNCT
bracis-33558	102	38	see	see	VERB
bracis-33558	102	39	line	line	NOUN
bracis-33558	102	40	17	17	NUM
bracis-33558	102	41	in	in	ADP
bracis-33558	102	42	algorithm	algorithm	NOUN
bracis-33558	102	43	 	 	SPACE
bracis-33558	102	44	1	1	NUM
bracis-33558	102	45	)	)	PUNCT
bracis-33558	102	46	.	.	PUNCT
bracis-33558	103	1	the	the	DET
bracis-33558	103	2	algorithm	algorithm	NOUN
bracis-33558	103	3	then	then	ADV
bracis-33558	103	4	returns	return	VERB
bracis-33558	103	5	the	the	DET
bracis-33558	103	6	coarsened	coarsened	ADJ
bracis-33558	103	7	network	network	NOUN
bracis-33558	103	8	\(g^c\	\(g^c\	PROPN
bracis-33558	103	9	)	)	PUNCT
bracis-33558	103	10	,	,	PUNCT
bracis-33558	103	11	obtained	obtain	VERB
bracis-33558	103	12	by	by	ADP
bracis-33558	103	13	applying	apply	VERB
bracis-33558	103	14	coarsening	coarsening	NOUN
bracis-33558	103	15	to	to	ADP
bracis-33558	103	16	all	all	DET
bracis-33558	103	17	non	non	ADJ
bracis-33558	103	18	-	-	ADJ
bracis-33558	103	19	target	target	ADJ
bracis-33558	103	20	partitions	partition	NOUN
bracis-33558	103	21	of	of	ADP
bracis-33558	103	22	the	the	DET
bracis-33558	103	23	original	original	ADJ
bracis-33558	103	24	k	k	ADJ
bracis-33558	103	25	-	-	ADJ
bracis-33558	103	26	partite	partite	ADJ
bracis-33558	103	27	network	network	NOUN
bracis-33558	103	28	.	.	PUNCT
bracis-33558	104	1	4	4	NUM
bracis-33558	104	2	experimental	experimental	ADJ
bracis-33558	104	3	results	result	NOUN
bracis-33558	104	4	experimental	experimental	ADJ
bracis-33558	104	5	studies	study	NOUN
bracis-33558	104	6	were	be	AUX
bracis-33558	104	7	conducted	conduct	VERB
bracis-33558	104	8	on	on	ADP
bracis-33558	104	9	synthetic	synthetic	ADJ
bracis-33558	104	10	and	and	CCONJ
bracis-33558	104	11	real	real	ADJ
bracis-33558	104	12	datasets	dataset	NOUN
bracis-33558	104	13	using	use	VERB
bracis-33558	104	14	transductive	transductive	ADJ
bracis-33558	104	15	classification	classification	NOUN
bracis-33558	104	16	to	to	PART
bracis-33558	104	17	evaluate	evaluate	VERB
bracis-33558	104	18	the	the	DET
bracis-33558	104	19	effectiveness	effectiveness	NOUN
bracis-33558	104	20	of	of	ADP
bracis-33558	104	21	the	the	DET
bracis-33558	104	22	proposed	propose	VERB
bracis-33558	104	23	coarsening	coarsen	VERB
bracis-33558	104	24	algorithm	algorithm	NOUN
bracis-33558	104	25	.	.	PUNCT
bracis-33558	105	1	the	the	DET
bracis-33558	105	2	principal	principal	ADJ
bracis-33558	105	3	reduction	reduction	NOUN
bracis-33558	105	4	objectives	objective	NOUN
bracis-33558	105	5	,	,	PUNCT
bracis-33558	105	6	namely	namely	ADV
bracis-33558	105	7	memory	memory	NOUN
bracis-33558	105	8	savings	saving	NOUN
bracis-33558	105	9	and	and	CCONJ
bracis-33558	105	10	classification	classification	NOUN
bracis-33558	105	11	runtime	runtime	NOUN
bracis-33558	105	12	,	,	PUNCT
bracis-33558	105	13	were	be	AUX
bracis-33558	105	14	analyzed	analyze	VERB
bracis-33558	105	15	as	as	SCONJ
bracis-33558	105	16	the	the	DET
bracis-33558	105	17	number	number	NOUN
bracis-33558	105	18	of	of	ADP
bracis-33558	105	19	vertices	vertex	NOUN
bracis-33558	105	20	increased	increase	VERB
bracis-33558	105	21	.	.	PUNCT
bracis-33558	106	1	additionally	additionally	ADV
bracis-33558	106	2	,	,	PUNCT
bracis-33558	106	3	the	the	DET
bracis-33558	106	4	accuracy	accuracy	NOUN
bracis-33558	106	5	of	of	ADP
bracis-33558	106	6	various	various	ADJ
bracis-33558	106	7	metrics	metric	NOUN
bracis-33558	106	8	,	,	PUNCT
bracis-33558	106	9	such	such	ADJ
bracis-33558	106	10	as	as	ADP
bracis-33558	106	11	accuracy	accuracy	NOUN
bracis-33558	106	12	,	,	PUNCT
bracis-33558	106	13	precision	precision	NOUN
bracis-33558	106	14	,	,	PUNCT
bracis-33558	106	15	recall	recall	NOUN
bracis-33558	106	16	,	,	PUNCT
bracis-33558	106	17	and	and	CCONJ
bracis-33558	106	18	f	f	X
bracis-33558	106	19	-	-	PUNCT
bracis-33558	106	20	score	score	NOUN
bracis-33558	106	21	,	,	PUNCT
bracis-33558	106	22	was	be	AUX
bracis-33558	106	23	compared	compare	VERB
bracis-33558	106	24	for	for	ADP
bracis-33558	106	25	each	each	DET
bracis-33558	106	26	reduction	reduction	NOUN
bracis-33558	106	27	level	level	NOUN
bracis-33558	106	28	concerning	concern	VERB
bracis-33558	106	29	the	the	DET
bracis-33558	106	30	original	original	ADJ
bracis-33558	106	31	uncoarsened	uncoarsened	ADJ
bracis-33558	106	32	network	network	NOUN
bracis-33558	106	33	.	.	PUNCT
bracis-33558	107	1	the	the	DET
bracis-33558	107	2	subsequent	subsequent	ADJ
bracis-33558	107	3	sections	section	NOUN
bracis-33558	107	4	present	present	VERB
bracis-33558	107	5	the	the	DET
bracis-33558	107	6	results	result	NOUN
bracis-33558	107	7	of	of	ADP
bracis-33558	107	8	these	these	DET
bracis-33558	107	9	experiments	experiment	NOUN
bracis-33558	107	10	,	,	PUNCT
bracis-33558	107	11	along	along	ADP
bracis-33558	107	12	with	with	ADP
bracis-33558	107	13	insights	insight	NOUN
bracis-33558	107	14	drawn	draw	VERB
bracis-33558	107	15	from	from	ADP
bracis-33558	107	16	the	the	DET
bracis-33558	107	17	findings	finding	NOUN
bracis-33558	107	18	.	.	PUNCT
bracis-33558	108	1	algorithm	algorithm	NOUN
bracis-33558	108	2	1	1	NUM
bracis-33558	108	3	coarsening	coarsening	NOUN
bracis-33558	108	4	procedure	procedure	NOUN
bracis-33558	108	5	for	for	ADP
bracis-33558	108	6	non	non	ADJ
bracis-33558	108	7	-	-	ADJ
bracis-33558	108	8	target	target	ADJ
bracis-33558	108	9	partitions	partition	NOUN
bracis-33558	108	10	full	full	ADJ
bracis-33558	108	11	size	size	NOUN
bracis-33558	108	12	image	image	NOUN
bracis-33558	108	13	fig	fig	NOUN
bracis-33558	108	14	.	.	PUNCT
bracis-33558	109	1	3	3	X
bracis-33558	109	2	.	.	X
bracis-33558	109	3	distinct	distinct	ADJ
bracis-33558	109	4	topologies	topology	NOUN
bracis-33558	109	5	networks	network	NOUN
bracis-33558	109	6	schemes	scheme	NOUN
bracis-33558	109	7	generated	generate	VERB
bracis-33558	109	8	in	in	ADP
bracis-33558	109	9	the	the	DET
bracis-33558	109	10	experiments	experiment	NOUN
bracis-33558	109	11	.	.	PUNCT
bracis-33558	110	1	hierarchical	hierarchical	ADJ
bracis-33558	110	2	star	star	NOUN
bracis-33558	110	3	–	–	PUNCT
bracis-33558	110	4	figure	figure	NOUN
bracis-33558	110	5	(	(	PUNCT
bracis-33558	110	6	a	a	NOUN
bracis-33558	110	7	)	)	PUNCT
bracis-33558	110	8	,	,	PUNCT
bracis-33558	110	9	hierarchical	hierarchical	ADJ
bracis-33558	110	10	web	web	NOUN
bracis-33558	110	11	–	–	PUNCT
bracis-33558	110	12	figure	figure	NOUN
bracis-33558	110	13	(	(	PUNCT
bracis-33558	110	14	b	b	NOUN
bracis-33558	110	15	)	)	PUNCT
bracis-33558	110	16	,	,	PUNCT
bracis-33558	110	17	and	and	CCONJ
bracis-33558	110	18	bipartite	bipartite	PROPN
bracis-33558	110	19	topology	topology	NOUN
bracis-33558	110	20	–	–	PUNCT
bracis-33558	110	21	figure	figure	NOUN
bracis-33558	110	22	(	(	PUNCT
bracis-33558	110	23	c	c	NOUN
bracis-33558	110	24	)	)	PUNCT
bracis-33558	110	25	.	.	PUNCT
bracis-33558	111	1	full	full	ADJ
bracis-33558	111	2	size	size	NOUN
bracis-33558	111	3	image	image	NOUN
bracis-33558	111	4	4.1	4.1	NUM
bracis-33558	111	5	synthetic	synthetic	ADJ
bracis-33558	111	6	network	network	NOUN
bracis-33558	111	7	generation	generation	NOUN
bracis-33558	111	8	given	give	VERB
bracis-33558	111	9	the	the	DET
bracis-33558	111	10	scarcity	scarcity	NOUN
bracis-33558	111	11	of	of	ADP
bracis-33558	111	12	standard	standard	ADJ
bracis-33558	111	13	datasets	dataset	NOUN
bracis-33558	111	14	for	for	ADP
bracis-33558	111	15	analyzing	analyze	VERB
bracis-33558	111	16	heterogeneous	heterogeneous	ADJ
bracis-33558	111	17	data	datum	NOUN
bracis-33558	111	18	in	in	ADP
bracis-33558	111	19	various	various	ADJ
bracis-33558	111	20	fields	field	NOUN
bracis-33558	111	21	,	,	PUNCT
bracis-33558	111	22	we	we	PRON
bracis-33558	111	23	utilized	utilize	VERB
bracis-33558	111	24	a	a	DET
bracis-33558	111	25	synthetic	synthetic	ADJ
bracis-33558	111	26	network	network	NOUN
bracis-33558	111	27	generator	generator	NOUN
bracis-33558	111	28	called	call	VERB
bracis-33558	111	29	hnoc	hnoc	NOUN
bracis-33558	111	30	[	[	X
bracis-33558	111	31	19	19	NUM
bracis-33558	111	32	]	]	PUNCT
bracis-33558	111	33	to	to	PART
bracis-33558	111	34	address	address	VERB
bracis-33558	111	35	this	this	DET
bracis-33558	111	36	limitation	limitation	NOUN
bracis-33558	111	37	and	and	CCONJ
bracis-33558	111	38	create	create	VERB
bracis-33558	111	39	k	k	ADJ
bracis-33558	111	40	-	-	ADJ
bracis-33558	111	41	partite	partite	ADJ
bracis-33558	111	42	networks	network	NOUN
bracis-33558	111	43	.	.	PUNCT
bracis-33558	112	1	hnoc	hnoc	NOUN
bracis-33558	112	2	was	be	AUX
bracis-33558	112	3	selected	select	VERB
bracis-33558	112	4	for	for	ADP
bracis-33558	112	5	its	its	PRON
bracis-33558	112	6	flexibility	flexibility	NOUN
bracis-33558	112	7	in	in	ADP
bracis-33558	112	8	adjusting	adjust	VERB
bracis-33558	112	9	partition	partition	NOUN
bracis-33558	112	10	size	size	NOUN
bracis-33558	112	11	,	,	PUNCT
bracis-33558	112	12	the	the	DET
bracis-33558	112	13	number	number	NOUN
bracis-33558	112	14	of	of	ADP
bracis-33558	112	15	potential	potential	ADJ
bracis-33558	112	16	classes	class	NOUN
bracis-33558	112	17	,	,	PUNCT
bracis-33558	112	18	classification	classification	NOUN
bracis-33558	112	19	probability	probability	NOUN
bracis-33558	112	20	,	,	PUNCT
bracis-33558	112	21	noise	noise	NOUN
bracis-33558	112	22	,	,	PUNCT
bracis-33558	112	23	and	and	CCONJ
bracis-33558	112	24	dispersion	dispersion	NOUN
bracis-33558	112	25	levels	level	NOUN
bracis-33558	112	26	.	.	PUNCT
bracis-33558	113	1	initially	initially	ADV
bracis-33558	113	2	developed	develop	VERB
bracis-33558	113	3	for	for	ADP
bracis-33558	113	4	community	community	NOUN
bracis-33558	113	5	detection	detection	NOUN
bracis-33558	113	6	,	,	PUNCT
bracis-33558	113	7	the	the	DET
bracis-33558	113	8	hnoc	hnoc	NOUN
bracis-33558	113	9	tool	tool	NOUN
bracis-33558	113	10	’s	’s	PART
bracis-33558	113	11	concept	concept	NOUN
bracis-33558	113	12	of	of	ADP
bracis-33558	113	13	communities	community	NOUN
bracis-33558	113	14	can	can	AUX
bracis-33558	113	15	be	be	AUX
bracis-33558	113	16	extended	extend	VERB
bracis-33558	113	17	to	to	PART
bracis-33558	113	18	perform	perform	VERB
bracis-33558	113	19	data	datum	NOUN
bracis-33558	113	20	classification	classification	NOUN
bracis-33558	113	21	in	in	ADP
bracis-33558	113	22	a	a	DET
bracis-33558	113	23	semi	semi	ADJ
bracis-33558	113	24	-	-	ADJ
bracis-33558	113	25	supervised	supervised	ADJ
bracis-33558	113	26	setting	setting	NOUN
bracis-33558	113	27	.	.	PUNCT
bracis-33558	114	1	initially	initially	ADV
bracis-33558	114	2	,	,	PUNCT
bracis-33558	114	3	the	the	DET
bracis-33558	114	4	tool	tool	NOUN
bracis-33558	114	5	assigns	assign	VERB
bracis-33558	114	6	each	each	DET
bracis-33558	114	7	vertex	vertex	NOUN
bracis-33558	114	8	precisely	precisely	ADV
bracis-33558	114	9	to	to	ADP
bracis-33558	114	10	its	its	PRON
bracis-33558	114	11	designated	designate	VERB
bracis-33558	114	12	community	community	NOUN
bracis-33558	114	13	.	.	PUNCT
bracis-33558	115	1	subsequently	subsequently	ADV
bracis-33558	115	2	,	,	PUNCT
bracis-33558	115	3	each	each	DET
bracis-33558	115	4	vertex	vertex	NOUN
bracis-33558	115	5	within	within	ADP
bracis-33558	115	6	a	a	DET
bracis-33558	115	7	community	community	NOUN
bracis-33558	115	8	is	be	AUX
bracis-33558	115	9	connected	connect	VERB
bracis-33558	115	10	to	to	ADP
bracis-33558	115	11	all	all	DET
bracis-33558	115	12	other	other	ADJ
bracis-33558	115	13	vertices	vertex	NOUN
bracis-33558	115	14	in	in	ADP
bracis-33558	115	15	the	the	DET
bracis-33558	115	16	same	same	ADJ
bracis-33558	115	17	community	community	NOUN
bracis-33558	115	18	and	and	CCONJ
bracis-33558	115	19	those	those	PRON
bracis-33558	115	20	in	in	ADP
bracis-33558	115	21	different	different	ADJ
bracis-33558	115	22	partitions	partition	NOUN
bracis-33558	115	23	.	.	PUNCT
bracis-33558	116	1	edges	edge	NOUN
bracis-33558	116	2	are	be	AUX
bracis-33558	116	3	selectively	selectively	ADV
bracis-33558	116	4	removed	remove	VERB
bracis-33558	116	5	based	base	VERB
bracis-33558	116	6	on	on	ADP
bracis-33558	116	7	the	the	DET
bracis-33558	116	8	dispersion	dispersion	NOUN
bracis-33558	116	9	parameter	parameter	NOUN
bracis-33558	116	10	to	to	PART
bracis-33558	116	11	control	control	VERB
bracis-33558	116	12	community	community	NOUN
bracis-33558	116	13	density	density	NOUN
bracis-33558	116	14	.	.	PUNCT
bracis-33558	117	1	lower	low	ADJ
bracis-33558	117	2	dispersion	dispersion	NOUN
bracis-33558	117	3	values	value	NOUN
bracis-33558	117	4	create	create	VERB
bracis-33558	117	5	sparser	sparse	ADJ
bracis-33558	117	6	communities	community	NOUN
bracis-33558	117	7	,	,	PUNCT
bracis-33558	117	8	while	while	SCONJ
bracis-33558	117	9	higher	high	ADJ
bracis-33558	117	10	dispersion	dispersion	NOUN
bracis-33558	117	11	values	value	NOUN
bracis-33558	117	12	lead	lead	VERB
bracis-33558	117	13	to	to	ADP
bracis-33558	117	14	denser	dense	ADJ
bracis-33558	117	15	communities	community	NOUN
bracis-33558	117	16	.	.	PUNCT
bracis-33558	118	1	the	the	DET
bracis-33558	118	2	noise	noise	NOUN
bracis-33558	118	3	parameter	parameter	NOUN
bracis-33558	118	4	is	be	AUX
bracis-33558	118	5	utilized	utilize	VERB
bracis-33558	118	6	for	for	ADP
bracis-33558	118	7	edges	edge	NOUN
bracis-33558	118	8	between	between	ADP
bracis-33558	118	9	different	different	ADJ
bracis-33558	118	10	communities	community	NOUN
bracis-33558	118	11	,	,	PUNCT
bracis-33558	118	12	also	also	ADV
bracis-33558	118	13	known	know	VERB
bracis-33558	118	14	as	as	ADP
bracis-33558	118	15	inter	inter	ADJ
bracis-33558	118	16	-	-	ADJ
bracis-33558	118	17	community	community	ADJ
bracis-33558	118	18	edges	edge	NOUN
bracis-33558	118	19	.	.	PUNCT
bracis-33558	119	1	network	network	NOUN
bracis-33558	119	2	noise	noise	NOUN
bracis-33558	119	3	impacts	impact	VERB
bracis-33558	119	4	the	the	DET
bracis-33558	119	5	identification	identification	NOUN
bracis-33558	119	6	of	of	ADP
bracis-33558	119	7	community	community	NOUN
bracis-33558	119	8	boundaries	boundary	NOUN
bracis-33558	119	9	and	and	CCONJ
bracis-33558	119	10	increases	increase	NOUN
bracis-33558	119	11	overlap	overlap	VERB
bracis-33558	119	12	,	,	PUNCT
bracis-33558	119	13	making	make	VERB
bracis-33558	119	14	finding	find	VERB
bracis-33558	119	15	communities	community	NOUN
bracis-33558	119	16	within	within	ADP
bracis-33558	119	17	the	the	DET
bracis-33558	119	18	network	network	NOUN
bracis-33558	119	19	more	more	ADV
bracis-33558	119	20	complex	complex	ADJ
bracis-33558	119	21	.	.	PUNCT
bracis-33558	120	1	higher	high	ADJ
bracis-33558	120	2	noise	noise	NOUN
bracis-33558	120	3	levels	level	NOUN
bracis-33558	120	4	can	can	AUX
bracis-33558	120	5	significantly	significantly	ADV
bracis-33558	120	6	decrease	decrease	VERB
bracis-33558	120	7	classification	classification	NOUN
bracis-33558	120	8	accuracy	accuracy	NOUN
bracis-33558	120	9	and	and	CCONJ
bracis-33558	120	10	increase	increase	VERB
bracis-33558	120	11	complexity	complexity	NOUN
bracis-33558	120	12	.	.	PUNCT
bracis-33558	121	1	generally	generally	ADV
bracis-33558	121	2	,	,	PUNCT
bracis-33558	121	3	noise	noise	NOUN
bracis-33558	121	4	values	value	NOUN
bracis-33558	121	5	greater	great	ADJ
bracis-33558	121	6	than	than	ADP
bracis-33558	121	7	0.5	0.5	NUM
bracis-33558	121	8	result	result	NOUN
bracis-33558	121	9	in	in	ADP
bracis-33558	121	10	networks	network	NOUN
bracis-33558	121	11	with	with	ADP
bracis-33558	121	12	poorly	poorly	ADV
bracis-33558	121	13	defined	define	VERB
bracis-33558	121	14	and	and	CCONJ
bracis-33558	121	15	sparse	sparse	ADJ
bracis-33558	121	16	community	community	NOUN
bracis-33558	121	17	structures	structure	NOUN
bracis-33558	121	18	,	,	PUNCT
bracis-33558	121	19	where	where	SCONJ
bracis-33558	121	20	inter	inter	ADJ
bracis-33558	121	21	-	-	ADJ
bracis-33558	121	22	community	community	NOUN
bracis-33558	121	23	edges	edge	NOUN
bracis-33558	121	24	outnumber	outnumber	ADJ
bracis-33558	121	25	intracommunity	intracommunity	NOUN
bracis-33558	121	26	edges	edge	NOUN
bracis-33558	121	27	.	.	PUNCT
bracis-33558	122	1	optimal	optimal	ADJ
bracis-33558	122	2	noise	noise	NOUN
bracis-33558	122	3	values	value	NOUN
bracis-33558	122	4	typically	typically	ADV
bracis-33558	122	5	range	range	VERB
bracis-33558	122	6	from	from	ADP
bracis-33558	122	7	0.1	0.1	NUM
bracis-33558	122	8	to	to	ADP
bracis-33558	122	9	0.4	0.4	NUM
bracis-33558	122	10	,	,	PUNCT
bracis-33558	122	11	striking	strike	VERB
bracis-33558	122	12	a	a	DET
bracis-33558	122	13	balance	balance	NOUN
bracis-33558	122	14	between	between	ADP
bracis-33558	122	15	increasing	increase	VERB
bracis-33558	122	16	class	class	NOUN
bracis-33558	122	17	detection	detection	NOUN
bracis-33558	122	18	difficulty	difficulty	NOUN
bracis-33558	122	19	while	while	SCONJ
bracis-33558	122	20	preserving	preserve	VERB
bracis-33558	122	21	the	the	DET
bracis-33558	122	22	overall	overall	ADJ
bracis-33558	122	23	network	network	NOUN
bracis-33558	122	24	structure	structure	NOUN
bracis-33558	122	25	[	[	X
bracis-33558	122	26	19	19	NUM
bracis-33558	122	27	]	]	PUNCT
bracis-33558	122	28	.	.	PUNCT
bracis-33558	123	1	it	it	PRON
bracis-33558	123	2	is	be	AUX
bracis-33558	123	3	crucial	crucial	ADJ
bracis-33558	123	4	to	to	PART
bracis-33558	123	5	note	note	VERB
bracis-33558	123	6	that	that	SCONJ
bracis-33558	123	7	no	no	DET
bracis-33558	123	8	edges	edge	NOUN
bracis-33558	123	9	connect	connect	VERB
bracis-33558	123	10	vertices	vertex	NOUN
bracis-33558	123	11	within	within	ADP
bracis-33558	123	12	the	the	DET
bracis-33558	123	13	same	same	ADJ
bracis-33558	123	14	partition	partition	NOUN
bracis-33558	123	15	.	.	PUNCT
bracis-33558	124	1	diverse	diverse	ADJ
bracis-33558	124	2	object	object	NOUN
bracis-33558	124	3	types	type	NOUN
bracis-33558	124	4	and	and	CCONJ
bracis-33558	124	5	topological	topological	ADJ
bracis-33558	124	6	structures	structure	NOUN
bracis-33558	124	7	are	be	AUX
bracis-33558	124	8	necessary	necessary	ADJ
bracis-33558	124	9	in	in	ADP
bracis-33558	124	10	heterogeneous	heterogeneous	ADJ
bracis-33558	124	11	networks	network	NOUN
bracis-33558	124	12	.	.	PUNCT
bracis-33558	125	1	it	it	PRON
bracis-33558	125	2	is	be	AUX
bracis-33558	125	3	essential	essential	ADJ
bracis-33558	125	4	to	to	PART
bracis-33558	125	5	generate	generate	VERB
bracis-33558	125	6	various	various	ADJ
bracis-33558	125	7	network	network	NOUN
bracis-33558	125	8	topologies	topology	NOUN
bracis-33558	125	9	to	to	PART
bracis-33558	125	10	simulate	simulate	VERB
bracis-33558	125	11	real	real	ADJ
bracis-33558	125	12	-	-	PUNCT
bracis-33558	125	13	world	world	NOUN
bracis-33558	125	14	scenarios	scenario	NOUN
bracis-33558	125	15	and	and	CCONJ
bracis-33558	125	16	complex	complex	ADJ
bracis-33558	125	17	systems	system	NOUN
bracis-33558	125	18	effectively	effectively	ADV
bracis-33558	125	19	.	.	PUNCT
bracis-33558	126	1	in	in	ADP
bracis-33558	126	2	addition	addition	NOUN
bracis-33558	126	3	to	to	ADP
bracis-33558	126	4	the	the	DET
bracis-33558	126	5	dispersion	dispersion	NOUN
bracis-33558	126	6	and	and	CCONJ
bracis-33558	126	7	noise	noise	NOUN
bracis-33558	126	8	parameters	parameter	NOUN
bracis-33558	126	9	,	,	PUNCT
bracis-33558	126	10	the	the	DET
bracis-33558	126	11	type	type	NOUN
bracis-33558	126	12	of	of	ADP
bracis-33558	126	13	topological	topological	ADJ
bracis-33558	126	14	structure	structure	NOUN
bracis-33558	126	15	in	in	ADP
bracis-33558	126	16	the	the	DET
bracis-33558	126	17	network	network	NOUN
bracis-33558	126	18	was	be	AUX
bracis-33558	126	19	also	also	ADV
bracis-33558	126	20	varied	varied	ADJ
bracis-33558	126	21	.	.	PUNCT
bracis-33558	127	1	three	three	NUM
bracis-33558	127	2	specific	specific	ADJ
bracis-33558	127	3	topologies	topology	NOUN
bracis-33558	127	4	were	be	AUX
bracis-33558	127	5	selected	select	VERB
bracis-33558	127	6	for	for	ADP
bracis-33558	127	7	the	the	DET
bracis-33558	127	8	study	study	NOUN
bracis-33558	127	9	,	,	PUNCT
bracis-33558	127	10	namely	namely	ADV
bracis-33558	127	11	the	the	DET
bracis-33558	127	12	hierarchical	hierarchical	ADJ
bracis-33558	127	13	star	star	NOUN
bracis-33558	127	14	(	(	PUNCT
bracis-33558	127	15	fig	fig	NOUN
bracis-33558	127	16	.	.	PUNCT
bracis-33558	127	17	 	 	SPACE
bracis-33558	127	18	3(a	3(a	NUM
bracis-33558	127	19	)	)	PUNCT
bracis-33558	127	20	)	)	PUNCT
bracis-33558	127	21	,	,	PUNCT
bracis-33558	127	22	the	the	DET
bracis-33558	127	23	hierarchical	hierarchical	ADJ
bracis-33558	127	24	web	web	NOUN
bracis-33558	127	25	(	(	PUNCT
bracis-33558	127	26	fig	fig	NOUN
bracis-33558	127	27	.	.	PUNCT
bracis-33558	127	28	 	 	SPACE
bracis-33558	127	29	3(b	3(b	NUM
bracis-33558	127	30	)	)	PUNCT
bracis-33558	127	31	)	)	PUNCT
bracis-33558	127	32	,	,	PUNCT
bracis-33558	127	33	and	and	CCONJ
bracis-33558	127	34	the	the	DET
bracis-33558	127	35	bipartite	bipartite	PROPN
bracis-33558	127	36	topology	topology	NOUN
bracis-33558	127	37	(	(	PUNCT
bracis-33558	127	38	fig	fig	NOUN
bracis-33558	127	39	.	.	PUNCT
bracis-33558	127	40	 	 	SPACE
bracis-33558	127	41	3(c	3(c	NUM
bracis-33558	127	42	)	)	PUNCT
bracis-33558	127	43	)	)	PUNCT
bracis-33558	127	44	.	.	PUNCT
bracis-33558	128	1	4.2	4.2	NUM
bracis-33558	128	2	experimental	experimental	ADJ
bracis-33558	128	3	setup	setup	NOUN
bracis-33558	128	4	the	the	DET
bracis-33558	128	5	experiments	experiment	NOUN
bracis-33558	128	6	were	be	AUX
bracis-33558	128	7	categorized	categorize	VERB
bracis-33558	128	8	into	into	ADP
bracis-33558	128	9	two	two	NUM
bracis-33558	128	10	groups	group	NOUN
bracis-33558	128	11	:	:	PUNCT
bracis-33558	128	12	the	the	DET
bracis-33558	128	13	first	first	ADJ
bracis-33558	128	14	utilized	utilize	VERB
bracis-33558	128	15	synthetic	synthetic	ADJ
bracis-33558	128	16	data	datum	NOUN
bracis-33558	128	17	and	and	CCONJ
bracis-33558	128	18	the	the	DET
bracis-33558	128	19	second	second	ADJ
bracis-33558	128	20	involved	involve	VERB
bracis-33558	128	21	a	a	DET
bracis-33558	128	22	real	real	ADJ
bracis-33558	128	23	dataset	dataset	NOUN
bracis-33558	128	24	.	.	PUNCT
bracis-33558	129	1	in	in	ADP
bracis-33558	129	2	the	the	DET
bracis-33558	129	3	first	first	ADJ
bracis-33558	129	4	group	group	NOUN
bracis-33558	129	5	of	of	ADP
bracis-33558	129	6	experiments	experiment	NOUN
bracis-33558	129	7	,	,	PUNCT
bracis-33558	129	8	a	a	DET
bracis-33558	129	9	wide	wide	ADJ
bracis-33558	129	10	range	range	NOUN
bracis-33558	129	11	of	of	ADP
bracis-33558	129	12	parameter	parameter	NOUN
bracis-33558	129	13	configurations	configuration	NOUN
bracis-33558	129	14	was	be	AUX
bracis-33558	129	15	considered	consider	VERB
bracis-33558	129	16	to	to	PART
bracis-33558	129	17	generate	generate	VERB
bracis-33558	129	18	synthetic	synthetic	ADJ
bracis-33558	129	19	k	k	ADJ
bracis-33558	129	20	-	-	ADJ
bracis-33558	129	21	partite	partite	ADJ
bracis-33558	129	22	networks	network	NOUN
bracis-33558	129	23	with	with	ADP
bracis-33558	129	24	diverse	diverse	ADJ
bracis-33558	129	25	class	class	NOUN
bracis-33558	129	26	structures	structure	NOUN
bracis-33558	129	27	randomly	randomly	ADV
bracis-33558	129	28	[	[	X
bracis-33558	129	29	20	20	NUM
bracis-33558	129	30	]	]	PUNCT
bracis-33558	129	31	.	.	PUNCT
bracis-33558	130	1	the	the	DET
bracis-33558	130	2	number	number	NOUN
bracis-33558	130	3	of	of	ADP
bracis-33558	130	4	vertices	vertex	NOUN
bracis-33558	130	5	varied	varied	ADJ
bracis-33558	130	6	among	among	ADP
bracis-33558	130	7	2	2	NUM
bracis-33558	130	8	,	,	PUNCT
bracis-33558	130	9	 	 	SPACE
bracis-33558	130	10	000	000	NUM
bracis-33558	130	11	and	and	CCONJ
bracis-33558	130	12	15	15	NUM
bracis-33558	130	13	,	,	PUNCT
bracis-33558	130	14	 	 	SPACE
bracis-33558	130	15	000	000	NUM
bracis-33558	130	16	for	for	ADP
bracis-33558	130	17	each	each	DET
bracis-33558	130	18	scheme	scheme	NOUN
bracis-33558	130	19	(	(	PUNCT
bracis-33558	130	20	fig	fig	NOUN
bracis-33558	130	21	.	.	PUNCT
bracis-33558	130	22	 	 	SPACE
bracis-33558	130	23	3	3	NUM
bracis-33558	130	24	)	)	PUNCT
bracis-33558	130	25	.	.	PUNCT
bracis-33558	131	1	the	the	DET
bracis-33558	131	2	number	number	NOUN
bracis-33558	131	3	of	of	ADP
bracis-33558	131	4	classes	class	NOUN
bracis-33558	131	5	ranged	range	VERB
bracis-33558	131	6	from	from	ADP
bracis-33558	131	7	4	4	NUM
bracis-33558	131	8	to	to	PART
bracis-33558	131	9	10	10	NUM
bracis-33558	131	10	with	with	ADP
bracis-33558	131	11	increments	increment	NOUN
bracis-33558	131	12	of	of	ADP
bracis-33558	131	13	1	1	NUM
bracis-33558	131	14	,	,	PUNCT
bracis-33558	131	15	the	the	DET
bracis-33558	131	16	dispersion	dispersion	NOUN
bracis-33558	131	17	varied	vary	VERB
bracis-33558	131	18	from	from	ADP
bracis-33558	131	19	0.1	0.1	NUM
bracis-33558	131	20	to	to	ADP
bracis-33558	131	21	0.9	0.9	NUM
bracis-33558	131	22	with	with	ADP
bracis-33558	131	23	increments	increment	NOUN
bracis-33558	131	24	of	of	ADP
bracis-33558	131	25	0.1	0.1	NUM
bracis-33558	131	26	,	,	PUNCT
bracis-33558	131	27	and	and	CCONJ
bracis-33558	131	28	the	the	DET
bracis-33558	131	29	noise	noise	NOUN
bracis-33558	131	30	value	value	NOUN
bracis-33558	131	31	was	be	AUX
bracis-33558	131	32	fixed	fix	VERB
bracis-33558	131	33	at	at	ADP
bracis-33558	131	34	0.3	0.3	NUM
bracis-33558	131	35	to	to	PART
bracis-33558	131	36	create	create	VERB
bracis-33558	131	37	more	more	ADV
bracis-33558	131	38	challenging	challenging	ADJ
bracis-33558	131	39	networks	network	NOUN
bracis-33558	131	40	for	for	ADP
bracis-33558	131	41	classification	classification	NOUN
bracis-33558	131	42	without	without	ADP
bracis-33558	131	43	excessive	excessive	ADJ
bracis-33558	131	44	degradation	degradation	NOUN
bracis-33558	131	45	.	.	PUNCT
bracis-33558	132	1	ten	ten	NUM
bracis-33558	132	2	distinct	distinct	ADJ
bracis-33558	132	3	random	random	ADJ
bracis-33558	132	4	networks	network	NOUN
bracis-33558	132	5	were	be	AUX
bracis-33558	132	6	generated	generate	VERB
bracis-33558	132	7	for	for	ADP
bracis-33558	132	8	each	each	DET
bracis-33558	132	9	configuration	configuration	NOUN
bracis-33558	132	10	,	,	PUNCT
bracis-33558	132	11	resulting	result	VERB
bracis-33558	132	12	in	in	ADP
bracis-33558	132	13	over	over	ADP
bracis-33558	132	14	13	13	NUM
bracis-33558	132	15	,	,	PUNCT
bracis-33558	132	16	 	 	SPACE
bracis-33558	132	17	000	000	NUM
bracis-33558	132	18	networks	network	NOUN
bracis-33558	132	19	.	.	PUNCT
bracis-33558	133	1	the	the	DET
bracis-33558	133	2	vertices	vertex	NOUN
bracis-33558	133	3	were	be	AUX
bracis-33558	133	4	evenly	evenly	ADV
bracis-33558	133	5	distributed	distribute	VERB
bracis-33558	133	6	among	among	ADP
bracis-33558	133	7	the	the	DET
bracis-33558	133	8	non	non	ADJ
bracis-33558	133	9	-	-	ADJ
bracis-33558	133	10	target	target	ADJ
bracis-33558	133	11	partitions	partition	NOUN
bracis-33558	133	12	.	.	PUNCT
bracis-33558	134	1	to	to	PART
bracis-33558	134	2	accurately	accurately	ADV
bracis-33558	134	3	reflect	reflect	VERB
bracis-33558	134	4	the	the	DET
bracis-33558	134	5	memory	memory	NOUN
bracis-33558	134	6	savings	saving	NOUN
bracis-33558	134	7	achieved	achieve	VERB
bracis-33558	134	8	by	by	ADP
bracis-33558	134	9	the	the	DET
bracis-33558	134	10	coarsening	coarsening	NOUN
bracis-33558	134	11	algorithm	algorithm	NOUN
bracis-33558	134	12	,	,	PUNCT
bracis-33558	134	13	the	the	DET
bracis-33558	134	14	non	non	ADJ
bracis-33558	134	15	-	-	ADJ
bracis-33558	134	16	target	target	ADJ
bracis-33558	134	17	partitions	partition	NOUN
bracis-33558	134	18	were	be	AUX
bracis-33558	134	19	set	set	VERB
bracis-33558	134	20	to	to	PART
bracis-33558	134	21	be	be	AUX
bracis-33558	134	22	five	five	NUM
bracis-33558	134	23	times	time	NOUN
bracis-33558	134	24	larger	large	ADJ
bracis-33558	134	25	than	than	ADP
bracis-33558	134	26	the	the	DET
bracis-33558	134	27	target	target	NOUN
bracis-33558	134	28	partition	partition	NOUN
bracis-33558	134	29	.	.	PUNCT
bracis-33558	135	1	the	the	DET
bracis-33558	135	2	second	second	ADJ
bracis-33558	135	3	group	group	NOUN
bracis-33558	135	4	of	of	ADP
bracis-33558	135	5	experiments	experiment	NOUN
bracis-33558	135	6	involved	involve	VERB
bracis-33558	135	7	a	a	DET
bracis-33558	135	8	real	real	ADJ
bracis-33558	135	9	-	-	PUNCT
bracis-33558	135	10	world	world	NOUN
bracis-33558	135	11	heterogeneous	heterogeneous	ADJ
bracis-33558	135	12	network	network	NOUN
bracis-33558	135	13	using	use	VERB
bracis-33558	135	14	the	the	DET
bracis-33558	135	15	dblp	dblp	NOUN
bracis-33558	135	16	datasetfootnote	datasetfootnote	VERB
bracis-33558	135	17	1	1	NUM
bracis-33558	135	18	for	for	ADP
bracis-33558	135	19	the	the	DET
bracis-33558	135	20	classification	classification	NOUN
bracis-33558	135	21	task	task	NOUN
bracis-33558	135	22	.	.	PUNCT
bracis-33558	136	1	the	the	DET
bracis-33558	136	2	dblp	dblp	NOUN
bracis-33558	136	3	dataset	dataset	NOUN
bracis-33558	136	4	contains	contain	VERB
bracis-33558	136	5	open	open	ADJ
bracis-33558	136	6	bibliographic	bibliographic	ADJ
bracis-33558	136	7	information	information	NOUN
bracis-33558	136	8	from	from	ADP
bracis-33558	136	9	major	major	ADJ
bracis-33558	136	10	computer	computer	NOUN
bracis-33558	136	11	science	science	NOUN
bracis-33558	136	12	journals	journal	NOUN
bracis-33558	136	13	and	and	CCONJ
bracis-33558	136	14	proceedings	proceeding	NOUN
bracis-33558	136	15	.	.	PUNCT
bracis-33558	137	1	in	in	ADP
bracis-33558	137	2	this	this	DET
bracis-33558	137	3	study	study	NOUN
bracis-33558	137	4	,	,	PUNCT
bracis-33558	137	5	the	the	DET
bracis-33558	137	6	task	task	NOUN
bracis-33558	137	7	was	be	AUX
bracis-33558	137	8	to	to	PART
bracis-33558	137	9	classify	classify	VERB
bracis-33558	137	10	the	the	DET
bracis-33558	137	11	authors	author	NOUN
bracis-33558	137	12	into	into	ADP
bracis-33558	137	13	four	four	NUM
bracis-33558	137	14	areas	area	NOUN
bracis-33558	137	15	of	of	ADP
bracis-33558	137	16	knowledge	knowledge	NOUN
bracis-33558	137	17	,	,	PUNCT
bracis-33558	137	18	and	and	CCONJ
bracis-33558	137	19	the	the	DET
bracis-33558	137	20	authors	author	NOUN
bracis-33558	137	21	served	serve	VERB
bracis-33558	137	22	as	as	ADP
bracis-33558	137	23	the	the	DET
bracis-33558	137	24	target	target	NOUN
bracis-33558	137	25	partition	partition	NOUN
bracis-33558	137	26	.	.	PUNCT
bracis-33558	138	1	the	the	DET
bracis-33558	138	2	non	non	ADJ
bracis-33558	138	3	-	-	ADJ
bracis-33558	138	4	target	target	ADJ
bracis-33558	138	5	partitions	partition	NOUN
bracis-33558	138	6	included	include	VERB
bracis-33558	138	7	the	the	DET
bracis-33558	138	8	articles	article	NOUN
bracis-33558	138	9	written	write	VERB
bracis-33558	138	10	by	by	ADP
bracis-33558	138	11	each	each	DET
bracis-33558	138	12	author	author	NOUN
bracis-33558	138	13	,	,	PUNCT
bracis-33558	138	14	the	the	DET
bracis-33558	138	15	conferences	conference	NOUN
bracis-33558	138	16	where	where	SCONJ
bracis-33558	138	17	the	the	DET
bracis-33558	138	18	authors	author	NOUN
bracis-33558	138	19	have	have	AUX
bracis-33558	138	20	published	publish	VERB
bracis-33558	138	21	,	,	PUNCT
bracis-33558	138	22	and	and	CCONJ
bracis-33558	138	23	the	the	DET
bracis-33558	138	24	terms	term	NOUN
bracis-33558	138	25	found	find	VERB
bracis-33558	138	26	in	in	ADP
bracis-33558	138	27	these	these	DET
bracis-33558	138	28	articles	article	NOUN
bracis-33558	138	29	.	.	PUNCT
bracis-33558	139	1	the	the	DET
bracis-33558	139	2	dblp	dblp	NOUN
bracis-33558	139	3	dataset	dataset	NOUN
bracis-33558	139	4	comprises	comprise	VERB
bracis-33558	139	5	14	14	NUM
bracis-33558	139	6	,	,	PUNCT
bracis-33558	139	7	 	 	SPACE
bracis-33558	139	8	475	475	NUM
bracis-33558	139	9	authors	author	NOUN
bracis-33558	139	10	,	,	PUNCT
bracis-33558	139	11	14	14	NUM
bracis-33558	139	12	,	,	PUNCT
bracis-33558	139	13	 	 	SPACE
bracis-33558	139	14	376	376	NUM
bracis-33558	139	15	articles	article	NOUN
bracis-33558	139	16	,	,	PUNCT
bracis-33558	139	17	20	20	NUM
bracis-33558	139	18	conferences	conference	NOUN
bracis-33558	139	19	,	,	PUNCT
bracis-33558	139	20	and	and	CCONJ
bracis-33558	139	21	8	8	NUM
bracis-33558	139	22	,	,	PUNCT
bracis-33558	139	23	 	 	SPACE
bracis-33558	139	24	920	920	NUM
bracis-33558	139	25	terms	term	NOUN
bracis-33558	139	26	,	,	PUNCT
bracis-33558	139	27	resulting	result	VERB
bracis-33558	139	28	in	in	ADP
bracis-33558	139	29	37	37	NUM
bracis-33558	139	30	,	,	PUNCT
bracis-33558	139	31	 	 	SPACE
bracis-33558	139	32	791	791	NUM
bracis-33558	139	33	vertices	vertex	NOUN
bracis-33558	139	34	and	and	CCONJ
bracis-33558	139	35	170	170	NUM
bracis-33558	139	36	,	,	PUNCT
bracis-33558	139	37	 	 	SPACE
bracis-33558	139	38	795	795	NUM
bracis-33558	139	39	edges	edge	NOUN
bracis-33558	139	40	,	,	PUNCT
bracis-33558	139	41	with	with	ADP
bracis-33558	139	42	a	a	DET
bracis-33558	139	43	dispersion	dispersion	NOUN
bracis-33558	139	44	value	value	NOUN
bracis-33558	139	45	of	of	ADP
bracis-33558	139	46	approximately	approximately	ADV
bracis-33558	139	47	0.002	0.002	NUM
bracis-33558	139	48	.	.	PUNCT
bracis-33558	140	1	the	the	DET
bracis-33558	140	2	main	main	ADJ
bracis-33558	140	3	objective	objective	NOUN
bracis-33558	140	4	of	of	ADP
bracis-33558	140	5	this	this	DET
bracis-33558	140	6	study	study	NOUN
bracis-33558	140	7	is	be	AUX
bracis-33558	140	8	to	to	PART
bracis-33558	140	9	evaluate	evaluate	VERB
bracis-33558	140	10	the	the	DET
bracis-33558	140	11	effectiveness	effectiveness	NOUN
bracis-33558	140	12	of	of	ADP
bracis-33558	140	13	the	the	DET
bracis-33558	140	14	proposed	propose	VERB
bracis-33558	140	15	coarsening	coarsen	VERB
bracis-33558	140	16	algorithm	algorithm	NOUN
bracis-33558	140	17	in	in	ADP
bracis-33558	140	18	transductive	transductive	ADJ
bracis-33558	140	19	classification	classification	NOUN
bracis-33558	140	20	tasks	task	NOUN
bracis-33558	140	21	involving	involve	VERB
bracis-33558	140	22	k	k	ADJ
bracis-33558	140	23	-	-	ADJ
bracis-33558	140	24	partite	partite	ADJ
bracis-33558	140	25	networks	network	NOUN
bracis-33558	140	26	.	.	PUNCT
bracis-33558	141	1	for	for	ADP
bracis-33558	141	2	the	the	DET
bracis-33558	141	3	experiments	experiment	NOUN
bracis-33558	141	4	,	,	PUNCT
bracis-33558	141	5	the	the	DET
bracis-33558	141	6	gnetmine	gnetmine	ADJ
bracis-33558	141	7	algorithm	algorithm	NOUN
bracis-33558	141	8	[	[	X
bracis-33558	141	9	21	21	NUM
bracis-33558	141	10	]	]	PUNCT
bracis-33558	141	11	was	be	AUX
bracis-33558	141	12	chosen	choose	VERB
bracis-33558	141	13	,	,	PUNCT
bracis-33558	141	14	as	as	SCONJ
bracis-33558	141	15	it	it	PRON
bracis-33558	141	16	is	be	AUX
bracis-33558	141	17	a	a	DET
bracis-33558	141	18	widely	widely	ADV
bracis-33558	141	19	used	use	VERB
bracis-33558	141	20	reference	reference	NOUN
bracis-33558	141	21	algorithm	algorithm	NOUN
bracis-33558	141	22	in	in	ADP
bracis-33558	141	23	heterogeneous	heterogeneous	ADJ
bracis-33558	141	24	classification	classification	NOUN
bracis-33558	141	25	and	and	CCONJ
bracis-33558	141	26	has	have	AUX
bracis-33558	141	27	been	be	AUX
bracis-33558	141	28	utilized	utilize	VERB
bracis-33558	141	29	as	as	ADP
bracis-33558	141	30	a	a	DET
bracis-33558	141	31	benchmark	benchmark	NOUN
bracis-33558	141	32	in	in	ADP
bracis-33558	141	33	numerous	numerous	ADJ
bracis-33558	141	34	previous	previous	ADJ
bracis-33558	141	35	studies	study	NOUN
bracis-33558	141	36	[	[	X
bracis-33558	141	37	7	7	NUM
bracis-33558	141	38	,	,	PUNCT
bracis-33558	141	39	17	17	NUM
bracis-33558	141	40	,	,	PUNCT
bracis-33558	141	41	22,23,24,25,26	22,23,24,25,26	NOUN
bracis-33558	141	42	]	]	PUNCT
bracis-33558	141	43	.	.	PUNCT
bracis-33558	142	1	all	all	DET
bracis-33558	142	2	generated	generate	VERB
bracis-33558	142	3	networks	network	NOUN
bracis-33558	142	4	were	be	AUX
bracis-33558	142	5	classified	classify	VERB
bracis-33558	142	6	using	use	VERB
bracis-33558	142	7	gnetmine	gnetmine	NOUN
bracis-33558	142	8	,	,	PUNCT
bracis-33558	142	9	and	and	CCONJ
bracis-33558	142	10	metrics	metric	NOUN
bracis-33558	142	11	such	such	ADJ
bracis-33558	142	12	as	as	ADP
bracis-33558	142	13	precision	precision	NOUN
bracis-33558	142	14	,	,	PUNCT
bracis-33558	142	15	recall	recall	NOUN
bracis-33558	142	16	,	,	PUNCT
bracis-33558	142	17	f	f	X
bracis-33558	142	18	-	-	PUNCT
bracis-33558	142	19	score	score	NOUN
bracis-33558	142	20	(	(	PUNCT
bracis-33558	142	21	macro	macro	ADJ
bracis-33558	142	22	variant	variant	NOUN
bracis-33558	142	23	)	)	PUNCT
bracis-33558	142	24	,	,	PUNCT
bracis-33558	142	25	accuracy	accuracy	NOUN
bracis-33558	142	26	,	,	PUNCT
bracis-33558	142	27	and	and	CCONJ
bracis-33558	142	28	classification	classification	NOUN
bracis-33558	142	29	time	time	NOUN
bracis-33558	142	30	were	be	AUX
bracis-33558	142	31	recorded	record	VERB
bracis-33558	142	32	.	.	PUNCT
bracis-33558	143	1	the	the	DET
bracis-33558	143	2	proposed	propose	VERB
bracis-33558	143	3	coarsening	coarsen	VERB
bracis-33558	143	4	algorithm	algorithm	NOUN
bracis-33558	143	5	was	be	AUX
bracis-33558	143	6	applied	apply	VERB
bracis-33558	143	7	to	to	ADP
bracis-33558	143	8	the	the	DET
bracis-33558	143	9	networks	network	NOUN
bracis-33558	143	10	,	,	PUNCT
bracis-33558	143	11	with	with	ADP
bracis-33558	143	12	\(20\%\	\(20\%\	NUM
bracis-33558	143	13	)	)	PUNCT
bracis-33558	143	14	and	and	CCONJ
bracis-33558	143	15	\(80\%\	\(80\%\	PRON
bracis-33558	143	16	)	)	PUNCT
bracis-33558	143	17	reduction	reduction	NOUN
bracis-33558	143	18	levels	level	NOUN
bracis-33558	143	19	.	.	PUNCT
bracis-33558	144	1	the	the	DET
bracis-33558	144	2	transductive	transductive	ADJ
bracis-33558	144	3	classification	classification	NOUN
bracis-33558	144	4	was	be	AUX
bracis-33558	144	5	evaluated	evaluate	VERB
bracis-33558	144	6	by	by	ADP
bracis-33558	144	7	varying	vary	VERB
bracis-33558	144	8	the	the	DET
bracis-33558	144	9	number	number	NOUN
bracis-33558	144	10	of	of	ADP
bracis-33558	144	11	labeled	label	VERB
bracis-33558	144	12	vertices	vertex	NOUN
bracis-33558	144	13	,	,	PUNCT
bracis-33558	144	14	using	use	VERB
bracis-33558	144	15	\(1\%\	\(1\%\	NOUN
bracis-33558	144	16	)	)	PUNCT
bracis-33558	144	17	,	,	PUNCT
bracis-33558	144	18	\(10\%\	\(10\%\	NUM
bracis-33558	144	19	)	)	PUNCT
bracis-33558	144	20	,	,	PUNCT
bracis-33558	144	21	\(20\%\	\(20\%\	NUM
bracis-33558	144	22	)	)	PUNCT
bracis-33558	144	23	,	,	PUNCT
bracis-33558	144	24	and	and	CCONJ
bracis-33558	144	25	\(50\%\	\(50\%\	X
bracis-33558	144	26	)	)	PUNCT
bracis-33558	144	27	of	of	ADP
bracis-33558	144	28	the	the	DET
bracis-33558	144	29	vertices	vertex	NOUN
bracis-33558	144	30	from	from	ADP
bracis-33558	144	31	the	the	DET
bracis-33558	144	32	target	target	NOUN
bracis-33558	144	33	partition	partition	NOUN
bracis-33558	144	34	.	.	PUNCT
bracis-33558	145	1	the	the	DET
bracis-33558	145	2	obtained	obtain	VERB
bracis-33558	145	3	results	result	NOUN
bracis-33558	145	4	serve	serve	VERB
bracis-33558	145	5	as	as	ADP
bracis-33558	145	6	a	a	DET
bracis-33558	145	7	comparative	comparative	ADJ
bracis-33558	145	8	reference	reference	NOUN
bracis-33558	145	9	for	for	ADP
bracis-33558	145	10	classification	classification	NOUN
bracis-33558	145	11	metrics	metric	NOUN
bracis-33558	145	12	and	and	CCONJ
bracis-33558	145	13	the	the	DET
bracis-33558	145	14	storage	storage	NOUN
bracis-33558	145	15	size	size	NOUN
bracis-33558	145	16	of	of	ADP
bracis-33558	145	17	the	the	DET
bracis-33558	145	18	networks	network	NOUN
bracis-33558	145	19	.	.	PUNCT
bracis-33558	146	1	4.3	4.3	NUM
bracis-33558	146	2	results	result	NOUN
bracis-33558	146	3	on	on	ADP
bracis-33558	146	4	 	 	SPACE
bracis-33558	146	5	synthetic	synthetic	ADJ
bracis-33558	146	6	data	datum	NOUN
bracis-33558	146	7	the	the	DET
bracis-33558	146	8	analysis	analysis	NOUN
bracis-33558	146	9	of	of	ADP
bracis-33558	146	10	memory	memory	NOUN
bracis-33558	146	11	economies	economy	NOUN
bracis-33558	146	12	was	be	AUX
bracis-33558	146	13	conducted	conduct	VERB
bracis-33558	146	14	concerning	concern	VERB
bracis-33558	146	15	the	the	DET
bracis-33558	146	16	dispersion	dispersion	NOUN
bracis-33558	146	17	parameter	parameter	NOUN
bracis-33558	146	18	.	.	PUNCT
bracis-33558	147	1	the	the	DET
bracis-33558	147	2	detailed	detailed	ADJ
bracis-33558	147	3	results	result	NOUN
bracis-33558	147	4	in	in	ADP
bracis-33558	147	5	table	table	NOUN
bracis-33558	147	6	 	 	SPACE
bracis-33558	147	7	1	1	NUM
bracis-33558	147	8	demonstrates	demonstrate	VERB
bracis-33558	147	9	that	that	SCONJ
bracis-33558	147	10	networks	network	NOUN
bracis-33558	147	11	with	with	ADP
bracis-33558	147	12	higher	high	ADJ
bracis-33558	147	13	edge	edge	NOUN
bracis-33558	147	14	densities	density	NOUN
bracis-33558	147	15	incur	incur	VERB
bracis-33558	147	16	increased	increase	VERB
bracis-33558	147	17	storage	storage	NOUN
bracis-33558	147	18	and	and	CCONJ
bracis-33558	147	19	classification	classification	NOUN
bracis-33558	147	20	runtime	runtime	NOUN
bracis-33558	147	21	costs	cost	NOUN
bracis-33558	147	22	.	.	PUNCT
bracis-33558	148	1	consequently	consequently	ADV
bracis-33558	148	2	,	,	PUNCT
bracis-33558	148	3	coarsening	coarsening	NOUN
bracis-33558	148	4	is	be	AUX
bracis-33558	148	5	more	more	ADV
bracis-33558	148	6	effective	effective	ADJ
bracis-33558	148	7	in	in	ADP
bracis-33558	148	8	such	such	ADJ
bracis-33558	148	9	scenarios	scenario	NOUN
bracis-33558	148	10	,	,	PUNCT
bracis-33558	148	11	yielding	yield	VERB
bracis-33558	148	12	more	more	ADV
bracis-33558	148	13	substantial	substantial	ADJ
bracis-33558	148	14	benefits	benefit	NOUN
bracis-33558	148	15	.	.	PUNCT
bracis-33558	149	1	the	the	DET
bracis-33558	149	2	relative	relative	ADJ
bracis-33558	149	3	economy	economy	NOUN
bracis-33558	149	4	of	of	ADP
bracis-33558	149	5	memory	memory	NOUN
bracis-33558	149	6	and	and	CCONJ
bracis-33558	149	7	classification	classification	NOUN
bracis-33558	149	8	runtime	runtime	NOUN
bracis-33558	149	9	for	for	ADP
bracis-33558	149	10	each	each	DET
bracis-33558	149	11	reduction	reduction	NOUN
bracis-33558	149	12	level	level	NOUN
bracis-33558	149	13	compared	compare	VERB
bracis-33558	149	14	to	to	ADP
bracis-33558	149	15	the	the	DET
bracis-33558	149	16	original	original	ADJ
bracis-33558	149	17	unreduced	unreduced	ADJ
bracis-33558	149	18	network	network	NOUN
bracis-33558	149	19	is	be	AUX
bracis-33558	149	20	presented	present	VERB
bracis-33558	149	21	in	in	ADP
bracis-33558	149	22	table	table	NOUN
bracis-33558	149	23	 	 	SPACE
bracis-33558	149	24	1	1	NUM
bracis-33558	149	25	.	.	PUNCT
bracis-33558	150	1	interestingly	interestingly	ADV
bracis-33558	150	2	,	,	PUNCT
bracis-33558	150	3	there	there	PRON
bracis-33558	150	4	is	be	VERB
bracis-33558	150	5	a	a	DET
bracis-33558	150	6	notable	notable	ADJ
bracis-33558	150	7	increase	increase	NOUN
bracis-33558	150	8	in	in	ADP
bracis-33558	150	9	the	the	DET
bracis-33558	150	10	relative	relative	ADJ
bracis-33558	150	11	economy	economy	NOUN
bracis-33558	150	12	during	during	ADP
bracis-33558	150	13	the	the	DET
bracis-33558	150	14	early	early	ADJ
bracis-33558	150	15	stages	stage	NOUN
bracis-33558	150	16	of	of	ADP
bracis-33558	150	17	coarsening	coarsening	NOUN
bracis-33558	150	18	,	,	PUNCT
bracis-33558	150	19	leading	lead	VERB
bracis-33558	150	20	to	to	ADP
bracis-33558	150	21	satisfactory	satisfactory	ADJ
bracis-33558	150	22	results	result	NOUN
bracis-33558	150	23	with	with	ADP
bracis-33558	150	24	just	just	ADV
bracis-33558	150	25	a	a	DET
bracis-33558	150	26	\(20\%\	\(20\%\	NUM
bracis-33558	150	27	)	)	PUNCT
bracis-33558	150	28	decrease	decrease	NOUN
bracis-33558	150	29	in	in	ADP
bracis-33558	150	30	the	the	DET
bracis-33558	150	31	number	number	NOUN
bracis-33558	150	32	of	of	ADP
bracis-33558	150	33	vertices	vertex	NOUN
bracis-33558	150	34	.	.	PUNCT
bracis-33558	151	1	this	this	DET
bracis-33558	151	2	observation	observation	NOUN
bracis-33558	151	3	may	may	AUX
bracis-33558	151	4	be	be	AUX
bracis-33558	151	5	attributed	attribute	VERB
bracis-33558	151	6	to	to	ADP
bracis-33558	151	7	the	the	DET
bracis-33558	151	8	initial	initial	ADJ
bracis-33558	151	9	levels	level	NOUN
bracis-33558	151	10	already	already	ADV
bracis-33558	151	11	clustering	cluster	VERB
bracis-33558	151	12	many	many	ADJ
bracis-33558	151	13	vertices	vertex	NOUN
bracis-33558	151	14	with	with	ADP
bracis-33558	151	15	more	more	ADJ
bracis-33558	151	16	shared	shared	ADJ
bracis-33558	151	17	connections	connection	NOUN
bracis-33558	151	18	.	.	PUNCT
bracis-33558	152	1	table	table	NOUN
bracis-33558	152	2	1	1	NUM
bracis-33558	152	3	.	.	PUNCT
bracis-33558	152	4	compared	compare	VERB
bracis-33558	152	5	to	to	ADP
bracis-33558	152	6	their	their	PRON
bracis-33558	152	7	original	original	ADJ
bracis-33558	152	8	forms	form	NOUN
bracis-33558	152	9	,	,	PUNCT
bracis-33558	152	10	reducing	reduce	VERB
bracis-33558	152	11	networks	network	NOUN
bracis-33558	152	12	can	can	AUX
bracis-33558	152	13	lead	lead	VERB
bracis-33558	152	14	to	to	ADP
bracis-33558	152	15	savings	saving	NOUN
bracis-33558	152	16	in	in	ADP
bracis-33558	152	17	both	both	DET
bracis-33558	152	18	storage	storage	NOUN
bracis-33558	152	19	size	size	NOUN
bracis-33558	152	20	and	and	CCONJ
bracis-33558	152	21	classification	classification	NOUN
bracis-33558	152	22	time	time	NOUN
bracis-33558	152	23	.	.	PUNCT
bracis-33558	153	1	for	for	ADP
bracis-33558	153	2	both	both	DET
bracis-33558	153	3	metrics	metric	NOUN
bracis-33558	153	4	,	,	PUNCT
bracis-33558	153	5	the	the	DET
bracis-33558	153	6	values	value	NOUN
bracis-33558	153	7	are	be	AUX
bracis-33558	153	8	represented	represent	VERB
bracis-33558	153	9	as	as	ADP
bracis-33558	153	10	percentages.full	percentages.full	NUM
bracis-33558	153	11	size	size	NOUN
bracis-33558	153	12	table	table	NOUN
bracis-33558	153	13	table	table	NOUN
bracis-33558	153	14	 	 	SPACE
bracis-33558	153	15	2	2	NUM
bracis-33558	153	16	presents	present	VERB
bracis-33558	153	17	the	the	DET
bracis-33558	153	18	relationship	relationship	NOUN
bracis-33558	153	19	between	between	ADP
bracis-33558	153	20	network	network	NOUN
bracis-33558	153	21	reduction	reduction	NOUN
bracis-33558	153	22	and	and	CCONJ
bracis-33558	153	23	classification	classification	NOUN
bracis-33558	153	24	metrics	metric	NOUN
bracis-33558	153	25	.	.	PUNCT
bracis-33558	154	1	the	the	DET
bracis-33558	154	2	findings	finding	NOUN
bracis-33558	154	3	indicate	indicate	VERB
bracis-33558	154	4	that	that	SCONJ
bracis-33558	154	5	as	as	SCONJ
bracis-33558	154	6	the	the	DET
bracis-33558	154	7	networks	network	NOUN
bracis-33558	154	8	grow	grow	VERB
bracis-33558	154	9	,	,	PUNCT
bracis-33558	154	10	the	the	DET
bracis-33558	154	11	impact	impact	NOUN
bracis-33558	154	12	of	of	ADP
bracis-33558	154	13	coarsening	coarsen	VERB
bracis-33558	154	14	on	on	ADP
bracis-33558	154	15	classification	classification	NOUN
bracis-33558	154	16	metrics	metric	NOUN
bracis-33558	154	17	becomes	become	VERB
bracis-33558	154	18	more	more	ADV
bracis-33558	154	19	pronounced	pronounced	ADJ
bracis-33558	154	20	.	.	PUNCT
bracis-33558	155	1	for	for	ADP
bracis-33558	155	2	instance	instance	NOUN
bracis-33558	155	3	,	,	PUNCT
bracis-33558	155	4	when	when	SCONJ
bracis-33558	155	5	dealing	deal	VERB
bracis-33558	155	6	with	with	ADP
bracis-33558	155	7	a	a	DET
bracis-33558	155	8	network	network	NOUN
bracis-33558	155	9	of	of	ADP
bracis-33558	155	10	15	15	NUM
bracis-33558	155	11	,	,	PUNCT
bracis-33558	155	12	 	 	SPACE
bracis-33558	155	13	000	000	NUM
bracis-33558	155	14	vertices	vertex	NOUN
bracis-33558	155	15	,	,	PUNCT
bracis-33558	155	16	reducing	reduce	VERB
bracis-33558	155	17	it	it	PRON
bracis-33558	155	18	by	by	ADP
bracis-33558	155	19	\(20\%\	\(20\%\	NUM
bracis-33558	155	20	)	)	PUNCT
bracis-33558	155	21	and	and	CCONJ
bracis-33558	155	22	\(80\%\	\(80\%\	X
bracis-33558	155	23	)	)	PUNCT
bracis-33558	155	24	results	result	NOUN
bracis-33558	155	25	in	in	ADP
bracis-33558	155	26	a	a	DET
bracis-33558	155	27	relative	relative	ADJ
bracis-33558	155	28	f	f	NOUN
bracis-33558	155	29	-	-	PUNCT
bracis-33558	155	30	score	score	NOUN
bracis-33558	155	31	loss	loss	NOUN
bracis-33558	155	32	of	of	ADP
bracis-33558	155	33	\(1.69\%\	\(1.69\%\	NOUN
bracis-33558	155	34	)	)	PUNCT
bracis-33558	155	35	and	and	CCONJ
bracis-33558	155	36	approximately	approximately	ADV
bracis-33558	155	37	\(11.97\%\	\(11.97\%\	NOUN
bracis-33558	155	38	)	)	PUNCT
bracis-33558	155	39	,	,	PUNCT
bracis-33558	155	40	respectively	respectively	ADV
bracis-33558	155	41	.	.	PUNCT
bracis-33558	156	1	additionally	additionally	ADV
bracis-33558	156	2	,	,	PUNCT
bracis-33558	156	3	the	the	DET
bracis-33558	156	4	precision	precision	NOUN
bracis-33558	156	5	metric	metric	NOUN
bracis-33558	156	6	remains	remain	VERB
bracis-33558	156	7	relatively	relatively	ADV
bracis-33558	156	8	stable	stable	ADJ
bracis-33558	156	9	,	,	PUNCT
bracis-33558	156	10	suggesting	suggest	VERB
bracis-33558	156	11	that	that	SCONJ
bracis-33558	156	12	the	the	DET
bracis-33558	156	13	proposed	proposed	ADJ
bracis-33558	156	14	coarsening	coarsen	VERB
bracis-33558	156	15	algorithm	algorithm	NOUN
bracis-33558	156	16	is	be	AUX
bracis-33558	156	17	better	well	ADV
bracis-33558	156	18	suited	suit	VERB
bracis-33558	156	19	for	for	ADP
bracis-33558	156	20	applications	application	NOUN
bracis-33558	156	21	seeking	seek	VERB
bracis-33558	156	22	to	to	PART
bracis-33558	156	23	reduce	reduce	VERB
bracis-33558	156	24	the	the	DET
bracis-33558	156	25	number	number	NOUN
bracis-33558	156	26	of	of	ADP
bracis-33558	156	27	false	false	ADJ
bracis-33558	156	28	positives	positive	NOUN
bracis-33558	156	29	.	.	PUNCT
bracis-33558	157	1	furthermore	furthermore	ADV
bracis-33558	157	2	,	,	PUNCT
bracis-33558	157	3	the	the	DET
bracis-33558	157	4	relatively	relatively	ADV
bracis-33558	157	5	low	low	ADJ
bracis-33558	157	6	f	f	ADJ
bracis-33558	157	7	-	-	PUNCT
bracis-33558	157	8	score	score	NOUN
bracis-33558	157	9	loss	loss	NOUN
bracis-33558	157	10	achieved	achieve	VERB
bracis-33558	157	11	by	by	ADP
bracis-33558	157	12	reducing	reduce	VERB
bracis-33558	157	13	the	the	DET
bracis-33558	157	14	dataset	dataset	NOUN
bracis-33558	157	15	by	by	ADP
bracis-33558	157	16	about	about	ADP
bracis-33558	157	17	\(20\%\	\(20\%\	NUM
bracis-33558	157	18	)	)	PUNCT
bracis-33558	157	19	is	be	AUX
bracis-33558	157	20	particularly	particularly	ADV
bracis-33558	157	21	noteworthy	noteworthy	ADJ
bracis-33558	157	22	,	,	PUNCT
bracis-33558	157	23	especially	especially	ADV
bracis-33558	157	24	considering	consider	VERB
bracis-33558	157	25	the	the	DET
bracis-33558	157	26	significant	significant	ADJ
bracis-33558	157	27	savings	saving	NOUN
bracis-33558	157	28	in	in	ADP
bracis-33558	157	29	storage	storage	NOUN
bracis-33558	157	30	and	and	CCONJ
bracis-33558	157	31	classification	classification	NOUN
bracis-33558	157	32	runtime	runtime	NOUN
bracis-33558	157	33	.	.	PUNCT
bracis-33558	157	34	table	table	NOUN
bracis-33558	158	1	2	2	NUM
bracis-33558	158	2	.	.	PUNCT
bracis-33558	159	1	the	the	DET
bracis-33558	159	2	loss	loss	NOUN
bracis-33558	159	3	incurred	incur	VERB
bracis-33558	159	4	during	during	ADP
bracis-33558	159	5	network	network	NOUN
bracis-33558	159	6	reduction	reduction	NOUN
bracis-33558	159	7	becomes	become	VERB
bracis-33558	159	8	more	more	ADV
bracis-33558	159	9	pronounced	pronounced	ADJ
bracis-33558	159	10	as	as	ADP
bracis-33558	159	11	the	the	DET
bracis-33558	159	12	network	network	NOUN
bracis-33558	159	13	size	size	NOUN
bracis-33558	159	14	increases.full	increases.full	PROPN
bracis-33558	159	15	size	size	NOUN
bracis-33558	159	16	table	table	NOUN
bracis-33558	159	17	4.4	4.4	NUM
bracis-33558	159	18	results	result	NOUN
bracis-33558	159	19	on	on	ADP
bracis-33558	159	20	 	 	SPACE
bracis-33558	159	21	real	real	ADJ
bracis-33558	159	22	dataset	dataset	NOUN
bracis-33558	159	23	the	the	DET
bracis-33558	159	24	results	result	NOUN
bracis-33558	159	25	in	in	ADP
bracis-33558	159	26	table	table	NOUN
bracis-33558	159	27	 	 	SPACE
bracis-33558	159	28	3	3	NUM
bracis-33558	159	29	indicate	indicate	VERB
bracis-33558	159	30	that	that	SCONJ
bracis-33558	159	31	despite	despite	SCONJ
bracis-33558	159	32	a	a	DET
bracis-33558	159	33	\(67\%\	\(67\%\	NOUN
bracis-33558	159	34	)	)	PUNCT
bracis-33558	159	35	reduction	reduction	NOUN
bracis-33558	159	36	in	in	ADP
bracis-33558	159	37	the	the	DET
bracis-33558	159	38	network	network	NOUN
bracis-33558	159	39	,	,	PUNCT
bracis-33558	159	40	there	there	PRON
bracis-33558	159	41	was	be	VERB
bracis-33558	159	42	no	no	DET
bracis-33558	159	43	significant	significant	ADJ
bracis-33558	159	44	decrease	decrease	NOUN
bracis-33558	159	45	in	in	ADP
bracis-33558	159	46	classification	classification	NOUN
bracis-33558	159	47	metrics	metric	NOUN
bracis-33558	159	48	.	.	PUNCT
bracis-33558	160	1	however	however	ADV
bracis-33558	160	2	,	,	PUNCT
bracis-33558	160	3	the	the	DET
bracis-33558	160	4	reduction	reduction	NOUN
bracis-33558	160	5	in	in	ADP
bracis-33558	160	6	storage	storage	NOUN
bracis-33558	160	7	size	size	NOUN
bracis-33558	160	8	was	be	AUX
bracis-33558	160	9	not	not	PART
bracis-33558	160	10	as	as	ADV
bracis-33558	160	11	effective	effective	ADJ
bracis-33558	160	12	,	,	PUNCT
bracis-33558	160	13	as	as	SCONJ
bracis-33558	160	14	shown	show	VERB
bracis-33558	160	15	in	in	ADP
bracis-33558	160	16	table	table	NOUN
bracis-33558	160	17	 	 	SPACE
bracis-33558	160	18	4	4	NUM
bracis-33558	160	19	.	.	PUNCT
bracis-33558	161	1	these	these	DET
bracis-33558	161	2	findings	finding	NOUN
bracis-33558	161	3	align	align	VERB
bracis-33558	161	4	with	with	ADP
bracis-33558	161	5	the	the	DET
bracis-33558	161	6	observations	observation	NOUN
bracis-33558	161	7	from	from	ADP
bracis-33558	161	8	the	the	DET
bracis-33558	161	9	synthetic	synthetic	ADJ
bracis-33558	161	10	experimental	experimental	ADJ
bracis-33558	161	11	evaluation	evaluation	NOUN
bracis-33558	161	12	.	.	PUNCT
bracis-33558	162	1	the	the	DET
bracis-33558	162	2	network	network	NOUN
bracis-33558	162	3	\(g_{dblp}\	\(g_{dblp}\	PROPN
bracis-33558	162	4	)	)	PUNCT
bracis-33558	162	5	exhibits	exhibit	VERB
bracis-33558	162	6	a	a	DET
bracis-33558	162	7	low	low	ADJ
bracis-33558	162	8	dispersion	dispersion	NOUN
bracis-33558	162	9	level	level	NOUN
bracis-33558	162	10	of	of	ADP
bracis-33558	162	11	approximately	approximately	ADV
bracis-33558	162	12	0.002	0.002	NUM
bracis-33558	162	13	.	.	PUNCT
bracis-33558	163	1	as	as	SCONJ
bracis-33558	163	2	previously	previously	ADV
bracis-33558	163	3	discussed	discuss	VERB
bracis-33558	163	4	,	,	PUNCT
bracis-33558	163	5	such	such	ADJ
bracis-33558	163	6	low	low	ADJ
bracis-33558	163	7	dispersion	dispersion	NOUN
bracis-33558	163	8	levels	level	NOUN
bracis-33558	163	9	,	,	PUNCT
bracis-33558	163	10	nearing	near	VERB
bracis-33558	163	11	zero	zero	NUM
bracis-33558	163	12	,	,	PUNCT
bracis-33558	163	13	lead	lead	VERB
bracis-33558	163	14	to	to	ADP
bracis-33558	163	15	a	a	DET
bracis-33558	163	16	minimal	minimal	ADJ
bracis-33558	163	17	loss	loss	NOUN
bracis-33558	163	18	in	in	ADP
bracis-33558	163	19	classification	classification	NOUN
bracis-33558	163	20	quality	quality	NOUN
bracis-33558	163	21	and	and	CCONJ
bracis-33558	163	22	offer	offer	VERB
bracis-33558	163	23	limited	limited	ADJ
bracis-33558	163	24	storage	storage	NOUN
bracis-33558	163	25	savings	saving	NOUN
bracis-33558	163	26	.	.	PUNCT
bracis-33558	164	1	table	table	NOUN
bracis-33558	164	2	3	3	NUM
bracis-33558	164	3	.	.	PUNCT
bracis-33558	165	1	metrics	metric	NOUN
bracis-33558	165	2	of	of	ADP
bracis-33558	165	3	accuracy	accuracy	NOUN
bracis-33558	165	4	,	,	PUNCT
bracis-33558	165	5	precision	precision	NOUN
bracis-33558	165	6	(	(	PUNCT
bracis-33558	165	7	macro	macro	NOUN
bracis-33558	165	8	)	)	PUNCT
bracis-33558	165	9	,	,	PUNCT
bracis-33558	165	10	recall	recall	INTJ
bracis-33558	165	11	(	(	PUNCT
bracis-33558	165	12	macro	macro	NOUN
bracis-33558	165	13	)	)	PUNCT
bracis-33558	165	14	and	and	CCONJ
bracis-33558	165	15	f	f	X
bracis-33558	165	16	-	-	PUNCT
bracis-33558	165	17	score	score	NOUN
bracis-33558	165	18	(	(	PUNCT
bracis-33558	165	19	macro	macro	NOUN
bracis-33558	165	20	)	)	PUNCT
bracis-33558	165	21	according	accord	VERB
bracis-33558	165	22	to	to	ADP
bracis-33558	165	23	\(g_{dblp	\(g_{dblp	PRON
bracis-33558	165	24	}	}	PUNCT
bracis-33558	165	25	\	\	NOUN
bracis-33558	165	26	)	)	PUNCT
bracis-33558	165	27	reductionfull	reductionfull	VERB
bracis-33558	165	28	size	size	NOUN
bracis-33558	165	29	table	table	NOUN
bracis-33558	165	30	table	table	NOUN
bracis-33558	165	31	4	4	NUM
bracis-33558	165	32	.	.	PUNCT
bracis-33558	165	33	storage	storage	NOUN
bracis-33558	165	34	(	(	PUNCT
bracis-33558	165	35	megabyte	megabyte	NOUN
bracis-33558	165	36	–	–	PUNCT
bracis-33558	165	37	mb	mb	NOUN
bracis-33558	165	38	)	)	PUNCT
bracis-33558	165	39	and	and	CCONJ
bracis-33558	165	40	time	time	NOUN
bracis-33558	165	41	(	(	PUNCT
bracis-33558	165	42	seconds	second	NOUN
bracis-33558	165	43	s	s	PART
bracis-33558	165	44	)	)	PUNCT
bracis-33558	165	45	savings	saving	NOUN
bracis-33558	165	46	analysis	analysis	NOUN
bracis-33558	165	47	for	for	ADP
bracis-33558	165	48	\(g_{dblp	\(g_{dblp	PRON
bracis-33558	165	49	}	}	SYM
bracis-33558	165	50	\)full	\)full	NOUN
bracis-33558	165	51	size	size	NOUN
bracis-33558	165	52	table	table	NOUN
bracis-33558	165	53	5	5	NUM
bracis-33558	165	54	conclusion	conclusion	NOUN
bracis-33558	165	55	the	the	DET
bracis-33558	165	56	primary	primary	ADJ
bracis-33558	165	57	objective	objective	NOUN
bracis-33558	165	58	of	of	ADP
bracis-33558	165	59	this	this	DET
bracis-33558	165	60	study	study	NOUN
bracis-33558	165	61	was	be	AUX
bracis-33558	165	62	to	to	PART
bracis-33558	165	63	evaluate	evaluate	VERB
bracis-33558	165	64	a	a	DET
bracis-33558	165	65	proposed	propose	VERB
bracis-33558	165	66	algorithm	algorithm	NOUN
bracis-33558	165	67	for	for	ADP
bracis-33558	165	68	reducing	reduce	VERB
bracis-33558	165	69	the	the	DET
bracis-33558	165	70	size	size	NOUN
bracis-33558	165	71	of	of	ADP
bracis-33558	165	72	k	k	ADJ
bracis-33558	165	73	-	-	ADJ
bracis-33558	165	74	partite	partite	ADJ
bracis-33558	165	75	networks	network	NOUN
bracis-33558	165	76	while	while	SCONJ
bracis-33558	165	77	maintaining	maintain	VERB
bracis-33558	165	78	classification	classification	NOUN
bracis-33558	165	79	performance	performance	NOUN
bracis-33558	165	80	.	.	PUNCT
bracis-33558	166	1	the	the	DET
bracis-33558	166	2	study	study	NOUN
bracis-33558	166	3	successfully	successfully	ADV
bracis-33558	166	4	obtained	obtain	VERB
bracis-33558	166	5	metrics	metric	NOUN
bracis-33558	166	6	related	relate	VERB
bracis-33558	166	7	to	to	ADP
bracis-33558	166	8	resource	resource	NOUN
bracis-33558	166	9	savings	saving	NOUN
bracis-33558	166	10	and	and	CCONJ
bracis-33558	166	11	classification	classification	NOUN
bracis-33558	166	12	performance	performance	NOUN
bracis-33558	166	13	,	,	PUNCT
bracis-33558	166	14	confirming	confirm	VERB
bracis-33558	166	15	the	the	DET
bracis-33558	166	16	efficacy	efficacy	NOUN
bracis-33558	166	17	of	of	ADP
bracis-33558	166	18	the	the	DET
bracis-33558	166	19	proposed	propose	VERB
bracis-33558	166	20	coarsening	coarsen	VERB
bracis-33558	166	21	algorithm	algorithm	NOUN
bracis-33558	166	22	for	for	ADP
bracis-33558	166	23	k	k	ADJ
bracis-33558	166	24	-	-	ADJ
bracis-33558	166	25	partite	partite	ADJ
bracis-33558	166	26	networks	network	NOUN
bracis-33558	166	27	.	.	PUNCT
bracis-33558	167	1	however	however	ADV
bracis-33558	167	2	,	,	PUNCT
bracis-33558	167	3	it	it	PRON
bracis-33558	167	4	is	be	AUX
bracis-33558	167	5	essential	essential	ADJ
bracis-33558	167	6	to	to	PART
bracis-33558	167	7	acknowledge	acknowledge	VERB
bracis-33558	167	8	certain	certain	ADJ
bracis-33558	167	9	limitations	limitation	NOUN
bracis-33558	167	10	.	.	PUNCT
bracis-33558	168	1	using	use	VERB
bracis-33558	168	2	synthetic	synthetic	ADJ
bracis-33558	168	3	networks	network	NOUN
bracis-33558	168	4	instead	instead	ADV
bracis-33558	168	5	of	of	ADP
bracis-33558	168	6	real	real	ADJ
bracis-33558	168	7	-	-	PUNCT
bracis-33558	168	8	world	world	NOUN
bracis-33558	168	9	networks	network	NOUN
bracis-33558	168	10	may	may	AUX
bracis-33558	168	11	introduce	introduce	VERB
bracis-33558	168	12	some	some	DET
bracis-33558	168	13	bias	bias	NOUN
bracis-33558	168	14	,	,	PUNCT
bracis-33558	168	15	especially	especially	ADV
bracis-33558	168	16	considering	consider	VERB
bracis-33558	168	17	the	the	DET
bracis-33558	168	18	high	high	ADJ
bracis-33558	168	19	assortativity	assortativity	NOUN
bracis-33558	168	20	levels	level	NOUN
bracis-33558	168	21	generated	generate	VERB
bracis-33558	168	22	by	by	ADP
bracis-33558	168	23	the	the	DET
bracis-33558	168	24	hnoc	hnoc	NOUN
bracis-33558	168	25	tool	tool	NOUN
bracis-33558	168	26	,	,	PUNCT
bracis-33558	168	27	which	which	PRON
bracis-33558	168	28	might	might	AUX
bracis-33558	168	29	only	only	ADV
bracis-33558	168	30	be	be	AUX
bracis-33558	168	31	representative	representative	NOUN
bracis-33558	168	32	of	of	ADP
bracis-33558	168	33	some	some	DET
bracis-33558	168	34	real	real	ADJ
bracis-33558	168	35	-	-	PUNCT
bracis-33558	168	36	world	world	NOUN
bracis-33558	168	37	scenarios	scenario	NOUN
bracis-33558	168	38	.	.	PUNCT
bracis-33558	169	1	furthermore	furthermore	ADV
bracis-33558	169	2	,	,	PUNCT
bracis-33558	169	3	the	the	DET
bracis-33558	169	4	study	study	NOUN
bracis-33558	169	5	’s	’s	PART
bracis-33558	169	6	experiment	experiment	NOUN
bracis-33558	169	7	design	design	NOUN
bracis-33558	169	8	involved	involve	VERB
bracis-33558	169	9	a	a	DET
bracis-33558	169	10	limited	limited	ADJ
bracis-33558	169	11	number	number	NOUN
bracis-33558	169	12	of	of	ADP
bracis-33558	169	13	k	k	ADJ
bracis-33558	169	14	-	-	ADJ
bracis-33558	169	15	partite	partite	ADJ
bracis-33558	169	16	network	network	NOUN
bracis-33558	169	17	schemes	scheme	NOUN
bracis-33558	169	18	,	,	PUNCT
bracis-33558	169	19	which	which	PRON
bracis-33558	169	20	should	should	AUX
bracis-33558	169	21	be	be	AUX
bracis-33558	169	22	considered	consider	VERB
bracis-33558	169	23	a	a	DET
bracis-33558	169	24	potential	potential	ADJ
bracis-33558	169	25	limitation	limitation	NOUN
bracis-33558	169	26	.	.	PUNCT
bracis-33558	170	1	nevertheless	nevertheless	ADV
bracis-33558	170	2	,	,	PUNCT
bracis-33558	170	3	various	various	ADJ
bracis-33558	170	4	experiments	experiment	NOUN
bracis-33558	170	5	and	and	CCONJ
bracis-33558	170	6	parameter	parameter	NOUN
bracis-33558	170	7	configurations	configuration	NOUN
bracis-33558	170	8	thoroughly	thoroughly	ADV
bracis-33558	170	9	assessed	assess	VERB
bracis-33558	170	10	the	the	DET
bracis-33558	170	11	algorithm	algorithm	NOUN
bracis-33558	170	12	’s	’s	PART
bracis-33558	170	13	performance	performance	NOUN
bracis-33558	170	14	,	,	PUNCT
bracis-33558	170	15	showcasing	showcase	VERB
bracis-33558	170	16	its	its	PRON
bracis-33558	170	17	potential	potential	NOUN
bracis-33558	170	18	for	for	ADP
bracis-33558	170	19	diverse	diverse	ADJ
bracis-33558	170	20	network	network	NOUN
bracis-33558	170	21	applications	application	NOUN
bracis-33558	170	22	.	.	PUNCT
bracis-33558	171	1	the	the	DET
bracis-33558	171	2	researchers	researcher	NOUN
bracis-33558	171	3	have	have	AUX
bracis-33558	171	4	made	make	VERB
bracis-33558	171	5	the	the	DET
bracis-33558	171	6	entire	entire	ADJ
bracis-33558	171	7	source	source	NOUN
bracis-33558	171	8	code	code	NOUN
bracis-33558	171	9	used	use	VERB
bracis-33558	171	10	in	in	ADP
bracis-33558	171	11	the	the	DET
bracis-33558	171	12	experiments	experiment	NOUN
bracis-33558	171	13	availablefootnote	availablefootnote	VERB
bracis-33558	171	14	2	2	NUM
bracis-33558	171	15	,	,	PUNCT
bracis-33558	171	16	enabling	enable	VERB
bracis-33558	171	17	future	future	ADJ
bracis-33558	171	18	works	work	NOUN
bracis-33558	171	19	to	to	PART
bracis-33558	171	20	test	test	VERB
bracis-33558	171	21	different	different	ADJ
bracis-33558	171	22	parameters	parameter	NOUN
bracis-33558	171	23	and	and	CCONJ
bracis-33558	171	24	networks	network	NOUN
bracis-33558	171	25	.	.	PUNCT
bracis-33558	172	1	the	the	DET
bracis-33558	172	2	study	study	NOUN
bracis-33558	172	3	’s	’s	PART
bracis-33558	172	4	findings	finding	NOUN
bracis-33558	172	5	highlight	highlight	VERB
bracis-33558	172	6	that	that	SCONJ
bracis-33558	172	7	the	the	DET
bracis-33558	172	8	proposed	propose	VERB
bracis-33558	172	9	coarsening	coarsen	VERB
bracis-33558	172	10	algorithm	algorithm	NOUN
bracis-33558	172	11	achieved	achieve	VERB
bracis-33558	172	12	significant	significant	ADJ
bracis-33558	172	13	savings	saving	NOUN
bracis-33558	172	14	in	in	ADP
bracis-33558	172	15	storage	storage	NOUN
bracis-33558	172	16	and	and	CCONJ
bracis-33558	172	17	classification	classification	NOUN
bracis-33558	172	18	runtime	runtime	NOUN
bracis-33558	172	19	,	,	PUNCT
bracis-33558	172	20	even	even	ADV
bracis-33558	172	21	with	with	ADP
bracis-33558	172	22	modest	modest	ADJ
bracis-33558	172	23	reduction	reduction	NOUN
bracis-33558	172	24	levels	level	NOUN
bracis-33558	172	25	.	.	PUNCT
bracis-33558	173	1	for	for	ADP
bracis-33558	173	2	instance	instance	NOUN
bracis-33558	173	3	,	,	PUNCT
bracis-33558	173	4	a	a	DET
bracis-33558	173	5	\(20\%\	\(20\%\	NUM
bracis-33558	173	6	)	)	PUNCT
bracis-33558	173	7	reduction	reduction	NOUN
bracis-33558	173	8	in	in	ADP
bracis-33558	173	9	the	the	DET
bracis-33558	173	10	number	number	NOUN
bracis-33558	173	11	of	of	ADP
bracis-33558	173	12	vertices	vertex	NOUN
bracis-33558	173	13	resulted	result	VERB
bracis-33558	173	14	in	in	ADP
bracis-33558	173	15	over	over	ADP
bracis-33558	173	16	1/3	1/3	NUM
bracis-33558	173	17	savings	saving	NOUN
bracis-33558	173	18	in	in	ADP
bracis-33558	173	19	storage	storage	NOUN
bracis-33558	173	20	and	and	CCONJ
bracis-33558	173	21	twice	twice	ADV
bracis-33558	173	22	faster	fast	ADJ
bracis-33558	173	23	classifications	classification	NOUN
bracis-33558	173	24	.	.	PUNCT
bracis-33558	174	1	moreover	moreover	ADV
bracis-33558	174	2	,	,	PUNCT
bracis-33558	174	3	the	the	DET
bracis-33558	174	4	classification	classification	NOUN
bracis-33558	174	5	performance	performance	NOUN
bracis-33558	174	6	metrics	metric	NOUN
bracis-33558	174	7	exhibited	exhibit	VERB
bracis-33558	174	8	low	low	ADJ
bracis-33558	174	9	average	average	ADJ
bracis-33558	174	10	levels	level	NOUN
bracis-33558	174	11	of	of	ADP
bracis-33558	174	12	variation	variation	NOUN
bracis-33558	174	13	,	,	PUNCT
bracis-33558	174	14	demonstrating	demonstrate	VERB
bracis-33558	174	15	the	the	DET
bracis-33558	174	16	algorithm	algorithm	NOUN
bracis-33558	174	17	’s	’s	PART
bracis-33558	174	18	stability	stability	NOUN
bracis-33558	174	19	and	and	CCONJ
bracis-33558	174	20	reliability	reliability	NOUN
bracis-33558	174	21	.	.	PUNCT
bracis-33558	175	1	notes	note	VERB
bracis-33558	175	2	1.dblp	1.dblp	NUM
bracis-33558	175	3	dataset	dataset	NOUN
bracis-33558	175	4	available	available	ADJ
bracis-33558	175	5	at	at	ADP
bracis-33558	175	6	https://dblp.org	https://dblp.org	PROPN
bracis-33558	175	7	.	.	PUNCT
bracis-33558	176	1	2.url	2.url	ADJ
bracis-33558	176	2	with	with	ADP
bracis-33558	176	3	code	code	NOUN
bracis-33558	176	4	and	and	CCONJ
bracis-33558	176	5	experiments	experiment	VERB
bracis-33558	176	6	repository	repository	NOUN
bracis-33558	176	7	,	,	PUNCT
bracis-33558	176	8	https://github.com/pealthoff/coarseklass	https://github.com/pealthoff/coarseklass	NOUN
bracis-33558	176	9	.	.	PUNCT
bracis-33558	177	1	references	reference	NOUN
bracis-33558	177	2	silva	silva	PROPN
bracis-33558	177	3	,	,	PUNCT
bracis-33558	177	4	m.m	m.m	PROPN
bracis-33558	177	5	.	.	PROPN
bracis-33558	177	6	:	:	PUNCT
bracis-33558	178	1	uma	uma	PROPN
bracis-33558	178	2	abordagem	abordagem	PROPN
bracis-33558	178	3	evolucionária	evolucionária	PROPN
bracis-33558	178	4	para	para	PROPN
bracis-33558	178	5	aprendizado	aprendizado	VERB
bracis-33558	178	6	semi	semi	NOUN
bracis-33558	178	7	-	-	ADJ
bracis-33558	178	8	supervisionado	supervisionado	ADJ
bracis-33558	178	9	em	em	PROPN
bracis-33558	178	10	máquinas	máquinas	PROPN
bracis-33558	178	11	de	de	PROPN
bracis-33558	178	12	vetores	vetores	PROPN
bracis-33558	178	13	de	de	PROPN
bracis-33558	178	14	suporte	suporte	PROPN
bracis-33558	178	15	.	.	PUNCT
bracis-33558	179	1	master	master	PROPN
bracis-33558	179	2	’s	’s	PART
bracis-33558	179	3	thesis	thesis	NOUN
bracis-33558	179	4	,	,	PUNCT
bracis-33558	179	5	escola	escola	PROPN
bracis-33558	179	6	de	de	PROPN
bracis-33558	179	7	engenharia	engenharia	PROPN
bracis-33558	179	8	ufmg	ufmg	PROPN
bracis-33558	179	9	,	,	PUNCT
bracis-33558	179	10	belo	belo	PROPN
bracis-33558	179	11	horizonte	horizonte	ADV
bracis-33558	179	12	(	(	PUNCT
bracis-33558	179	13	2008	2008	NUM
bracis-33558	179	14	)	)	PUNCT
bracis-33558	179	15	google	google	PROPN
bracis-33558	179	16	scholar	scholar	NOUN
bracis-33558	179	17	  	  	SPACE
bracis-33558	179	18	aggarwal	aggarwal	NOUN
bracis-33558	179	19	,	,	PUNCT
bracis-33558	179	20	c.c	c.c	PROPN
bracis-33558	179	21	.	.	PROPN
bracis-33558	179	22	:	:	PUNCT
bracis-33558	179	23	machine	machine	NOUN
bracis-33558	179	24	learning	learn	VERB
bracis-33558	179	25	for	for	ADP
bracis-33558	179	26	text	text	NOUN
bracis-33558	179	27	.	.	PUNCT
bracis-33558	180	1	springer	springer	NOUN
bracis-33558	180	2	,	,	PUNCT
bracis-33558	180	3	cham	cham	PROPN
bracis-33558	180	4	(	(	PUNCT
bracis-33558	180	5	2018	2018	NUM
bracis-33558	180	6	)	)	PUNCT
bracis-33558	180	7	.	.	PUNCT
bracis-33558	181	1	https://doi.org/10.1007/978-3-319-73531-3	https://doi.org/10.1007/978-3-319-73531-3	NOUN
bracis-33558	181	2	walshaw	walshaw	ADV
bracis-33558	181	3	,	,	PUNCT
bracis-33558	181	4	c.	c.	NOUN
bracis-33558	181	5	:	:	PUNCT
bracis-33558	181	6	multilevel	multilevel	PROPN
bracis-33558	181	7	refinement	refinement	NOUN
bracis-33558	181	8	for	for	ADP
bracis-33558	181	9	combinatorial	combinatorial	ADJ
bracis-33558	181	10	optimisation	optimisation	NOUN
bracis-33558	181	11	problems	problem	NOUN
bracis-33558	181	12	.	.	PUNCT
bracis-33558	182	1	ann	ann	PROPN
bracis-33558	182	2	.	.	PUNCT
bracis-33558	182	3	oper	oper	PROPN
bracis-33558	182	4	.	.	PUNCT
bracis-33558	183	1	res	re	NOUN
bracis-33558	183	2	.	.	PUNCT
bracis-33558	184	1	131(1	131(1	NUM
bracis-33558	184	2	)	)	PUNCT
bracis-33558	184	3	,	,	PUNCT
bracis-33558	184	4	325–372	325–372	NUM
bracis-33558	184	5	(	(	PUNCT
bracis-33558	184	6	2004	2004	NUM
bracis-33558	184	7	)	)	PUNCT
bracis-33558	184	8	.	.	PUNCT
bracis-33558	185	1	https://doi.org/10.1023/b:anor.0000039525.80601.15	https://doi.org/10.1023/b:anor.0000039525.80601.15	PROPN
bracis-33558	185	2	liu	liu	PROPN
bracis-33558	185	3	,	,	PUNCT
bracis-33558	185	4	y.	y.	PROPN
bracis-33558	185	5	,	,	PUNCT
bracis-33558	185	6	safavi	safavi	VERB
bracis-33558	185	7	,	,	PUNCT
bracis-33558	185	8	t.	t.	PROPN
bracis-33558	185	9	,	,	PUNCT
bracis-33558	185	10	dighe	dighe	PROPN
bracis-33558	185	11	,	,	PUNCT
bracis-33558	185	12	a.	a.	PROPN
bracis-33558	185	13	,	,	PUNCT
bracis-33558	185	14	koutra	koutra	PROPN
bracis-33558	185	15	,	,	PUNCT
bracis-33558	185	16	d.	d.	PROPN
bracis-33558	185	17	:	:	PUNCT
bracis-33558	185	18	graph	graph	NOUN
bracis-33558	185	19	summarization	summarization	NOUN
bracis-33558	185	20	methods	method	NOUN
bracis-33558	185	21	and	and	CCONJ
bracis-33558	185	22	applications	application	NOUN
bracis-33558	185	23	:	:	PUNCT
bracis-33558	185	24	a	a	DET
bracis-33558	185	25	survey	survey	NOUN
bracis-33558	185	26	.	.	PUNCT
bracis-33558	186	1	acm	acm	PROPN
bracis-33558	186	2	comput	comput	NOUN
bracis-33558	186	3	.	.	PUNCT
bracis-33558	187	1	surv	surv	NOUN
bracis-33558	187	2	.	.	PUNCT
bracis-33558	188	1	51(3	51(3	NUM
bracis-33558	188	2	)	)	PUNCT
bracis-33558	188	3	(	(	PUNCT
bracis-33558	188	4	2018	2018	NUM
bracis-33558	188	5	)	)	PUNCT
bracis-33558	188	6	.	.	PUNCT
bracis-33558	189	1	http://arxiv.org/abs/1612.04883	http://arxiv.org/abs/1612.04883	ADJ
bracis-33558	189	2	valejo	valejo	ADJ
bracis-33558	189	3	,	,	PUNCT
bracis-33558	189	4	a.d.b	a.d.b	NOUN
bracis-33558	189	5	.	.	PUNCT
bracis-33558	189	6	:	:	PUNCT
bracis-33558	189	7	métodos	método	VERB
bracis-33558	189	8	multi	multi	ADJ
bracis-33558	189	9	-	-	ADJ
bracis-33558	189	10	nível	nível	ADJ
bracis-33558	189	11	em	em	PRON
bracis-33558	189	12	redes	rede	VERB
bracis-33558	189	13	bi	bi	ADJ
bracis-33558	189	14	-	-	ADJ
bracis-33558	189	15	partidas	partidas	PROPN
bracis-33558	189	16	.	.	PUNCT
bracis-33558	190	1	ph.d	ph.d	PROPN
bracis-33558	190	2	.	.	PUNCT
bracis-33558	191	1	dissertation	dissertation	NOUN
bracis-33558	191	2	,	,	PUNCT
bracis-33558	191	3	instituto	instituto	PROPN
bracis-33558	191	4	de	de	PROPN
bracis-33558	191	5	ciências	ciências	PROPN
bracis-33558	191	6	matemáticas	matemáticas	NOUN
bracis-33558	191	7	e	e	X
bracis-33558	191	8	de	de	X
bracis-33558	191	9	computação	computação	X
bracis-33558	191	10	usp	usp	PROPN
bracis-33558	191	11	,	,	PUNCT
bracis-33558	191	12	são	são	PROPN
bracis-33558	191	13	carlos	carlos	PROPN
bracis-33558	191	14	(	(	PUNCT
bracis-33558	191	15	2019	2019	NUM
bracis-33558	191	16	)	)	PUNCT
bracis-33558	191	17	google	google	PROPN
bracis-33558	191	18	scholar	scholar	NOUN
bracis-33558	191	19	  	  	SPACE
bracis-33558	191	20	liang	liang	PROPN
bracis-33558	191	21	,	,	PUNCT
bracis-33558	191	22	j.	j.	PROPN
bracis-33558	191	23	,	,	PUNCT
bracis-33558	191	24	gurukar	gurukar	PROPN
bracis-33558	191	25	,	,	PUNCT
bracis-33558	191	26	s.	s.	PROPN
bracis-33558	191	27	,	,	PUNCT
bracis-33558	191	28	parthasarathy	parthasarathy	PROPN
bracis-33558	191	29	,	,	PUNCT
bracis-33558	191	30	s.	s.	PROPN
bracis-33558	191	31	:	:	PUNCT
bracis-33558	191	32	mile	mile	NOUN
bracis-33558	191	33	:	:	PUNCT
bracis-33558	191	34	a	a	DET
bracis-33558	191	35	multi	multi	ADJ
bracis-33558	191	36	-	-	ADJ
bracis-33558	191	37	level	level	ADJ
bracis-33558	191	38	framework	framework	NOUN
bracis-33558	191	39	for	for	ADP
bracis-33558	191	40	scalable	scalable	ADJ
bracis-33558	191	41	graph	graph	NOUN
bracis-33558	191	42	embedding	embed	VERB
bracis-33558	191	43	(	(	PUNCT
bracis-33558	191	44	2020	2020	NUM
bracis-33558	191	45	)	)	PUNCT
bracis-33558	191	46	google	google	PROPN
bracis-33558	191	47	scholar	scholar	NOUN
bracis-33558	191	48	  	  	SPACE
bracis-33558	191	49	romanetto	romanetto	NOUN
bracis-33558	191	50	,	,	PUNCT
bracis-33558	191	51	l.d.m	l.d.m	PROPN
bracis-33558	191	52	.	.	PUNCT
bracis-33558	191	53	:	:	PUNCT
bracis-33558	192	1	classificação	classificação	PROPN
bracis-33558	192	2	transdutiva	transdutiva	PROPN
bracis-33558	192	3	em	em	PROPN
bracis-33558	192	4	redes	rede	VERB
bracis-33558	192	5	heterogêneas	heterogêneas	PROPN
bracis-33558	192	6	de	de	X
bracis-33558	192	7	informação	informação	PROPN
bracis-33558	192	8	,	,	PUNCT
bracis-33558	192	9	baseada	baseada	PROPN
bracis-33558	192	10	na	na	ADP
bracis-33558	192	11	divergência	divergência	PROPN
bracis-33558	192	12	kl	kl	PROPN
bracis-33558	192	13	.	.	PUNCT
bracis-33558	193	1	ph.d	ph.d	PROPN
bracis-33558	193	2	.	.	PUNCT
bracis-33558	194	1	dissertation	dissertation	NOUN
bracis-33558	194	2	,	,	PUNCT
bracis-33558	194	3	instituto	instituto	PROPN
bracis-33558	194	4	de	de	PROPN
bracis-33558	194	5	ciências	ciências	PROPN
bracis-33558	194	6	matemáticas	matemáticas	NOUN
bracis-33558	194	7	e	e	X
bracis-33558	194	8	de	de	X
bracis-33558	194	9	computação	computação	X
bracis-33558	194	10	usp	usp	PROPN
bracis-33558	194	11	,	,	PUNCT
bracis-33558	194	12	são	são	PROPN
bracis-33558	194	13	carlos	carlos	PROPN
bracis-33558	194	14	(	(	PUNCT
bracis-33558	194	15	2020	2020	NUM
bracis-33558	194	16	)	)	PUNCT
bracis-33558	194	17	google	google	PROPN
bracis-33558	194	18	scholar	scholar	NOUN
bracis-33558	194	19	  	  	SPACE
bracis-33558	194	20	zhou	zhou	PROPN
bracis-33558	194	21	,	,	PUNCT
bracis-33558	194	22	j.	j.	PROPN
bracis-33558	194	23	,	,	PUNCT
bracis-33558	194	24	et	et	PROPN
bracis-33558	194	25	al	al	PROPN
bracis-33558	194	26	.	.	PUNCT
bracis-33558	194	27	:	:	PUNCT
bracis-33558	195	1	graph	graph	VERB
bracis-33558	195	2	neural	neural	ADJ
bracis-33558	195	3	networks	network	NOUN
bracis-33558	195	4	:	:	PUNCT
bracis-33558	195	5	a	a	DET
bracis-33558	195	6	review	review	NOUN
bracis-33558	195	7	of	of	ADP
bracis-33558	195	8	methods	method	NOUN
bracis-33558	195	9	and	and	CCONJ
bracis-33558	195	10	applications	application	NOUN
bracis-33558	195	11	.	.	PUNCT
bracis-33558	196	1	ai	ai	VERB
bracis-33558	196	2	open	open	ADJ
bracis-33558	196	3	1	1	NUM
bracis-33558	196	4	,	,	PUNCT
bracis-33558	196	5	57–81	57–81	NUM
bracis-33558	196	6	(	(	PUNCT
bracis-33558	196	7	2020	2020	NUM
bracis-33558	196	8	)	)	PUNCT
bracis-33558	196	9	.	.	PUNCT
bracis-33558	197	1	http://arxiv.org/abs/1812.08434	http://arxiv.org/abs/1812.08434	PROPN
bracis-33558	197	2	wu	wu	PROPN
bracis-33558	197	3	,	,	PUNCT
bracis-33558	197	4	z.	z.	PROPN
bracis-33558	197	5	,	,	PUNCT
bracis-33558	197	6	pan	pan	PROPN
bracis-33558	197	7	,	,	PUNCT
bracis-33558	197	8	s.	s.	PROPN
bracis-33558	197	9	,	,	PUNCT
bracis-33558	197	10	chen	chen	PROPN
bracis-33558	197	11	,	,	PUNCT
bracis-33558	197	12	f.	f.	PROPN
bracis-33558	197	13	,	,	PUNCT
bracis-33558	197	14	long	long	ADV
bracis-33558	197	15	,	,	PUNCT
bracis-33558	197	16	g.	g.	PROPN
bracis-33558	197	17	,	,	PUNCT
bracis-33558	197	18	zhang	zhang	PROPN
bracis-33558	197	19	,	,	PUNCT
bracis-33558	197	20	c.	c.	PROPN
bracis-33558	197	21	,	,	PUNCT
bracis-33558	197	22	yu	yu	PROPN
bracis-33558	197	23	,	,	PUNCT
bracis-33558	197	24	p.s	p.s	PROPN
bracis-33558	197	25	.	.	PUNCT
bracis-33558	197	26	:	:	PUNCT
bracis-33558	198	1	a	a	DET
bracis-33558	198	2	comprehensive	comprehensive	ADJ
bracis-33558	198	3	survey	survey	NOUN
bracis-33558	198	4	on	on	ADP
bracis-33558	198	5	graph	graph	NOUN
bracis-33558	198	6	neural	neural	ADJ
bracis-33558	198	7	networks	network	NOUN
bracis-33558	198	8	.	.	PUNCT
bracis-33558	199	1	ieee	ieee	PROPN
bracis-33558	199	2	trans	trans	PROPN
bracis-33558	199	3	.	.	PUNCT
bracis-33558	199	4	neural	neural	ADJ
bracis-33558	199	5	netw	netw	NOUN
bracis-33558	199	6	.	.	PUNCT
bracis-33558	200	1	learn	learn	VERB
bracis-33558	200	2	.	.	PUNCT
bracis-33558	201	1	syst	syst	PROPN
bracis-33558	201	2	.	.	PUNCT
bracis-33558	202	1	32(1	32(1	NUM
bracis-33558	202	2	)	)	PUNCT
bracis-33558	202	3	,	,	PUNCT
bracis-33558	203	1	4–24	4–24	PROPN
bracis-33558	203	2	(	(	PUNCT
bracis-33558	203	3	2021	2021	NUM
bracis-33558	203	4	)	)	PUNCT
bracis-33558	203	5	.	.	PUNCT
bracis-33558	204	1	https://ieeexplore.ieee.org/document/9046288/	https://ieeexplore.ieee.org/document/9046288/	PROPN
bracis-33558	204	2	valejo	valejo	PROPN
bracis-33558	204	3	,	,	PUNCT
bracis-33558	204	4	a.	a.	PROPN
bracis-33558	204	5	,	,	PUNCT
bracis-33558	204	6	ferreira	ferreira	PROPN
bracis-33558	204	7	,	,	PUNCT
bracis-33558	204	8	v.	v.	PROPN
bracis-33558	204	9	,	,	PUNCT
bracis-33558	204	10	filho	filho	NOUN
bracis-33558	204	11	,	,	PUNCT
bracis-33558	204	12	g.p.r	g.p.r	NOUN
bracis-33558	204	13	.	.	PROPN
bracis-33558	204	14	,	,	PUNCT
bracis-33558	204	15	oliveira	oliveira	PROPN
bracis-33558	204	16	,	,	PUNCT
bracis-33558	204	17	m.c.f.d	m.c.f.d	PROPN
bracis-33558	204	18	.	.	PROPN
bracis-33558	204	19	,	,	PUNCT
bracis-33558	204	20	lopes	lopes	PROPN
bracis-33558	204	21	,	,	PUNCT
bracis-33558	204	22	a.d.a	a.d.a	PROPN
bracis-33558	204	23	.	.	PUNCT
bracis-33558	204	24	:	:	PUNCT
bracis-33558	205	1	one	one	NUM
bracis-33558	205	2	-	-	PUNCT
bracis-33558	205	3	mode	mode	NOUN
bracis-33558	205	4	projection	projection	NOUN
bracis-33558	205	5	-	-	PUNCT
bracis-33558	205	6	based	base	VERB
bracis-33558	205	7	multilevel	multilevel	NOUN
bracis-33558	205	8	approach	approach	NOUN
bracis-33558	205	9	for	for	ADP
bracis-33558	205	10	community	community	NOUN
bracis-33558	205	11	detection	detection	NOUN
bracis-33558	205	12	in	in	ADP
bracis-33558	205	13	bipartite	bipartite	PROPN
bracis-33558	205	14	networks	network	NOUN
bracis-33558	205	15	.	.	PUNCT
bracis-33558	206	1	in	in	ADP
bracis-33558	206	2	:	:	PUNCT
bracis-33558	206	3	annual	annual	ADJ
bracis-33558	206	4	international	international	ADJ
bracis-33558	206	5	symposium	symposium	NOUN
bracis-33558	206	6	on	on	ADP
bracis-33558	206	7	information	information	NOUN
bracis-33558	206	8	management	management	NOUN
bracis-33558	206	9	and	and	CCONJ
bracis-33558	206	10	big	big	ADJ
bracis-33558	206	11	data	datum	NOUN
bracis-33558	206	12	simbig	simbig	PROPN
bracis-33558	206	13	.	.	PUNCT
bracis-33558	207	1	ceur	ceur	PROPN
bracis-33558	207	2	-	-	PUNCT
bracis-33558	207	3	ws	ws	PROPN
bracis-33558	207	4	(	(	PUNCT
bracis-33558	207	5	2017	2017	NUM
bracis-33558	207	6	)	)	PUNCT
bracis-33558	207	7	google	google	PROPN
bracis-33558	207	8	scholar	scholar	NOUN
bracis-33558	207	9	  	  	SPACE
bracis-33558	207	10	valejo	valejo	PROPN
bracis-33558	207	11	,	,	PUNCT
bracis-33558	207	12	a.	a.	PROPN
bracis-33558	207	13	,	,	PUNCT
bracis-33558	207	14	ferreira	ferreira	PROPN
bracis-33558	207	15	,	,	PUNCT
bracis-33558	207	16	v.	v.	PROPN
bracis-33558	207	17	,	,	PUNCT
bracis-33558	207	18	de	de	PROPN
bracis-33558	207	19	oliveira	oliveira	PROPN
bracis-33558	207	20	,	,	PUNCT
bracis-33558	207	21	m.c.f	m.c.f	PROPN
bracis-33558	207	22	.	.	PROPN
bracis-33558	207	23	,	,	PUNCT
bracis-33558	207	24	de	de	PROPN
bracis-33558	207	25	andrade	andrade	PROPN
bracis-33558	207	26	lopes	lopes	PROPN
bracis-33558	207	27	,	,	PUNCT
bracis-33558	207	28	a.	a.	NOUN
bracis-33558	207	29	:	:	PUNCT
bracis-33558	207	30	community	community	NOUN
bracis-33558	207	31	detection	detection	NOUN
bracis-33558	207	32	in	in	ADP
bracis-33558	207	33	bipartite	bipartite	ADJ
bracis-33558	207	34	network	network	NOUN
bracis-33558	207	35	:	:	PUNCT
bracis-33558	207	36	a	a	DET
bracis-33558	207	37	modified	modify	VERB
bracis-33558	207	38	coarsening	coarsening	NOUN
bracis-33558	207	39	approach	approach	NOUN
bracis-33558	207	40	.	.	PUNCT
bracis-33558	208	1	in	in	ADP
bracis-33558	208	2	:	:	PUNCT
bracis-33558	208	3	lossio	lossio	PROPN
bracis-33558	208	4	-	-	PUNCT
bracis-33558	208	5	ventura	ventura	NOUN
bracis-33558	208	6	,	,	PUNCT
bracis-33558	208	7	j.a	j.a	PROPN
bracis-33558	208	8	.	.	PROPN
bracis-33558	208	9	,	,	PUNCT
bracis-33558	208	10	alatrista	alatrista	PROPN
bracis-33558	208	11	-	-	PUNCT
bracis-33558	208	12	salas	salas	PROPN
bracis-33558	208	13	,	,	PUNCT
bracis-33558	208	14	h.	h.	PROPN
bracis-33558	208	15	(	(	PUNCT
bracis-33558	208	16	eds	eds	PROPN
bracis-33558	208	17	.	.	PUNCT
bracis-33558	208	18	)	)	PUNCT
bracis-33558	208	19	simbig	simbig	PROPN
bracis-33558	208	20	2017	2017	NUM
bracis-33558	208	21	.	.	PUNCT
bracis-33558	209	1	ccis	ccis	PROPN
bracis-33558	209	2	,	,	PUNCT
bracis-33558	209	3	vol	vol	NOUN
bracis-33558	209	4	.	.	PROPN
bracis-33558	209	5	795	795	NUM
bracis-33558	209	6	,	,	PUNCT
bracis-33558	209	7	pp	pp	ADJ
bracis-33558	209	8	.	.	PUNCT
bracis-33558	210	1	123–136	123–136	NUM
bracis-33558	210	2	.	.	PUNCT
bracis-33558	210	3	springer	springer	NOUN
bracis-33558	210	4	,	,	PUNCT
bracis-33558	210	5	cham	cham	PROPN
bracis-33558	210	6	(	(	PUNCT
bracis-33558	210	7	2018	2018	NUM
bracis-33558	210	8	)	)	PUNCT
bracis-33558	210	9	.	.	PUNCT
bracis-33558	211	1	https://doi.org/10.1007/978-3-319-90596-9_9	https://doi.org/10.1007/978-3-319-90596-9_9	PUNCT
bracis-33558	211	2	chapter	chapter	NOUN
bracis-33558	211	3	  	  	SPACE
bracis-33558	211	4	math	math	NOUN
bracis-33558	211	5	  	  	SPACE
bracis-33558	211	6	google	google	PROPN
bracis-33558	211	7	scholar	scholar	NOUN
bracis-33558	211	8	  	  	SPACE
bracis-33558	211	9	valejo	valejo	PROPN
bracis-33558	211	10	,	,	PUNCT
bracis-33558	211	11	a.	a.	PROPN
bracis-33558	211	12	,	,	PUNCT
bracis-33558	211	13	ferreira	ferreira	PROPN
bracis-33558	211	14	de	de	PROPN
bracis-33558	211	15	oliveira	oliveira	PROPN
bracis-33558	211	16	,	,	PUNCT
bracis-33558	211	17	m.c	m.c	PROPN
bracis-33558	211	18	.	.	PROPN
bracis-33558	211	19	,	,	PUNCT
bracis-33558	211	20	filho	filho	PROPN
bracis-33558	211	21	,	,	PUNCT
bracis-33558	211	22	g.p	g.p	PROPN
bracis-33558	211	23	.	.	PROPN
bracis-33558	211	24	,	,	PUNCT
bracis-33558	211	25	de	de	PROPN
bracis-33558	211	26	 	 	SPACE
bracis-33558	211	27	andrade	andrade	PROPN
bracis-33558	211	28	 	 	SPACE
bracis-33558	211	29	lopes	lopes	PROPN
bracis-33558	211	30	,	,	PUNCT
bracis-33558	211	31	a.	a.	NOUN
bracis-33558	211	32	:	:	PUNCT
bracis-33558	211	33	multilevel	multilevel	ADJ
bracis-33558	211	34	approach	approach	NOUN
bracis-33558	211	35	for	for	ADP
bracis-33558	211	36	combinatorial	combinatorial	ADJ
bracis-33558	211	37	optimization	optimization	NOUN
bracis-33558	211	38	in	in	ADP
bracis-33558	211	39	bipartite	bipartite	PROPN
bracis-33558	211	40	network	network	NOUN
bracis-33558	211	41	.	.	PUNCT
bracis-33558	212	1	knowl.-based	knowl.-based	PROPN
bracis-33558	212	2	syst	syst	PROPN
bracis-33558	212	3	.	.	PUNCT
bracis-33558	212	4	151	151	NUM
bracis-33558	212	5	,	,	PUNCT
bracis-33558	212	6	45–61	45–61	NUM
bracis-33558	212	7	(	(	PUNCT
bracis-33558	212	8	2018	2018	NUM
bracis-33558	212	9	)	)	PUNCT
bracis-33558	212	10	.	.	PUNCT
bracis-33558	213	1	https://www.sciencedirect.com/science/article/pii/s0950705118301539	https://www.sciencedirect.com/science/article/pii/s0950705118301539	X
bracis-33558	213	2	valejo	valejo	ADJ
bracis-33558	213	3	,	,	PUNCT
bracis-33558	213	4	a.	a.	NOUN
bracis-33558	213	5	,	,	PUNCT
bracis-33558	213	6	faleiros	faleiro	NOUN
bracis-33558	213	7	,	,	PUNCT
bracis-33558	213	8	t.	t.	PROPN
bracis-33558	213	9	,	,	PUNCT
bracis-33558	213	10	de	de	PROPN
bracis-33558	213	11	 	 	SPACE
bracis-33558	213	12	oliveira	oliveira	PROPN
bracis-33558	213	13	,	,	PUNCT
bracis-33558	213	14	m.c.f	m.c.f	PROPN
bracis-33558	213	15	.	.	PROPN
bracis-33558	213	16	,	,	PUNCT
bracis-33558	213	17	de	de	X
bracis-33558	213	18	 	 	SPACE
bracis-33558	213	19	andrade	andrade	PROPN
bracis-33558	213	20	 	 	SPACE
bracis-33558	213	21	lopes	lopes	PROPN
bracis-33558	213	22	,	,	PUNCT
bracis-33558	213	23	a.	a.	NOUN
bracis-33558	213	24	:	:	PUNCT
bracis-33558	213	25	a	a	DET
bracis-33558	213	26	coarsening	coarsening	NOUN
bracis-33558	213	27	method	method	NOUN
bracis-33558	213	28	for	for	ADP
bracis-33558	213	29	bipartite	bipartite	PROPN
bracis-33558	213	30	networks	network	NOUN
bracis-33558	213	31	via	via	ADP
bracis-33558	213	32	weight	weight	NOUN
bracis-33558	213	33	-	-	PUNCT
bracis-33558	213	34	constrained	constrain	VERB
bracis-33558	213	35	label	label	NOUN
bracis-33558	213	36	propagation	propagation	NOUN
bracis-33558	213	37	.	.	PUNCT
bracis-33558	214	1	knowl.-based	knowl.-based	PROPN
bracis-33558	214	2	syst	syst	PROPN
bracis-33558	214	3	.	.	PUNCT
bracis-33558	214	4	195	195	NUM
bracis-33558	214	5	,	,	PUNCT
bracis-33558	214	6	105678	105678	NUM
bracis-33558	214	7	(	(	PUNCT
bracis-33558	214	8	2020	2020	NUM
bracis-33558	214	9	)	)	PUNCT
bracis-33558	214	10	.	.	PUNCT
bracis-33558	215	1	https://www.sciencedirect.com/science/article/pii/s0950705120301180	https://www.sciencedirect.com/science/article/pii/s0950705120301180	PROPN
bracis-33558	215	2	valejo	valejo	PROPN
bracis-33558	215	3	,	,	PUNCT
bracis-33558	215	4	a.	a.	PROPN
bracis-33558	215	5	,	,	PUNCT
bracis-33558	215	6	et	et	PROPN
bracis-33558	215	7	al	al	PROPN
bracis-33558	215	8	.	.	PUNCT
bracis-33558	215	9	:	:	PUNCT
bracis-33558	215	10	coarsening	coarsen	VERB
bracis-33558	215	11	algorithm	algorithm	NOUN
bracis-33558	215	12	via	via	ADP
bracis-33558	215	13	semi	semi	ADJ
bracis-33558	215	14	-	-	ADJ
bracis-33558	215	15	synchronous	synchronous	ADJ
bracis-33558	215	16	label	label	NOUN
bracis-33558	215	17	propagation	propagation	NOUN
bracis-33558	215	18	for	for	ADP
bracis-33558	215	19	bipartite	bipartite	PROPN
bracis-33558	215	20	networks	network	NOUN
bracis-33558	215	21	.	.	PUNCT
bracis-33558	216	1	in	in	ADP
bracis-33558	216	2	:	:	PUNCT
bracis-33558	216	3	anais	anais	PROPN
bracis-33558	216	4	da	da	PROPN
bracis-33558	216	5	x	x	PUNCT
bracis-33558	216	6	brazilian	brazilian	ADJ
bracis-33558	216	7	conference	conference	NOUN
bracis-33558	216	8	on	on	ADP
bracis-33558	216	9	intelligent	intelligent	ADJ
bracis-33558	216	10	systems	system	NOUN
bracis-33558	216	11	,	,	PUNCT
bracis-33558	216	12	porto	porto	PROPN
bracis-33558	216	13	alegre	alegre	PROPN
bracis-33558	216	14	,	,	PUNCT
bracis-33558	216	15	rs	rs	NOUN
bracis-33558	216	16	,	,	PUNCT
bracis-33558	216	17	brasil	brasil	PROPN
bracis-33558	216	18	,	,	PUNCT
bracis-33558	216	19	sbc	sbc	NOUN
bracis-33558	216	20	(	(	PUNCT
bracis-33558	216	21	2021	2021	NUM
bracis-33558	216	22	)	)	PUNCT
bracis-33558	216	23	.	.	PUNCT
bracis-33558	217	1	https://sol.sbc.org.br/index.php/bracis/article/view/19047	https://sol.sbc.org.br/index.php/bracis/article/view/19047	PROPN
bracis-33558	217	2	zhu	zhu	PROPN
bracis-33558	217	3	,	,	PUNCT
bracis-33558	217	4	l.	l.	PROPN
bracis-33558	217	5	,	,	PUNCT
bracis-33558	217	6	ghasemi	ghasemi	NOUN
bracis-33558	217	7	-	-	PUNCT
bracis-33558	217	8	gol	gol	PROPN
bracis-33558	217	9	,	,	PUNCT
bracis-33558	217	10	m.	m.	NOUN
bracis-33558	217	11	,	,	PUNCT
bracis-33558	217	12	szekely	szekely	ADV
bracis-33558	217	13	,	,	PUNCT
bracis-33558	217	14	p.	p.	NOUN
bracis-33558	217	15	,	,	PUNCT
bracis-33558	217	16	galstyan	galstyan	PROPN
bracis-33558	217	17	,	,	PUNCT
bracis-33558	217	18	a.	a.	NOUN
bracis-33558	217	19	,	,	PUNCT
bracis-33558	217	20	knoblock	knoblock	PROPN
bracis-33558	217	21	,	,	PUNCT
bracis-33558	217	22	c.a	c.a	PROPN
bracis-33558	217	23	.	.	PROPN
bracis-33558	217	24	:	:	PUNCT
bracis-33558	217	25	unsupervised	unsupervised	ADJ
bracis-33558	217	26	entity	entity	NOUN
bracis-33558	217	27	resolution	resolution	NOUN
bracis-33558	217	28	on	on	ADP
bracis-33558	217	29	multi	multi	ADJ
bracis-33558	217	30	-	-	ADJ
bracis-33558	217	31	type	type	ADJ
bracis-33558	217	32	graphs	graph	NOUN
bracis-33558	217	33	.	.	PUNCT
bracis-33558	218	1	in	in	ADP
bracis-33558	218	2	:	:	PUNCT
bracis-33558	218	3	groth	groth	PROPN
bracis-33558	218	4	,	,	PUNCT
bracis-33558	218	5	p.	p.	PROPN
bracis-33558	218	6	,	,	PUNCT
bracis-33558	218	7	et	et	PROPN
bracis-33558	218	8	al	al	PROPN
bracis-33558	218	9	.	.	PUNCT
bracis-33558	218	10	(	(	PUNCT
bracis-33558	218	11	eds	ed	NOUN
bracis-33558	218	12	.	.	PUNCT
bracis-33558	218	13	)	)	PUNCT
bracis-33558	219	1	iswc	iswc	NOUN
bracis-33558	219	2	2016	2016	NUM
bracis-33558	219	3	.	.	PUNCT
bracis-33558	220	1	lncs	lncs	PROPN
bracis-33558	220	2	,	,	PUNCT
bracis-33558	220	3	vol	vol	NOUN
bracis-33558	220	4	.	.	PROPN
bracis-33558	220	5	9981	9981	NUM
bracis-33558	220	6	,	,	PUNCT
bracis-33558	220	7	pp	pp	ADJ
bracis-33558	220	8	.	.	PUNCT
bracis-33558	221	1	649–667	649–667	NUM
bracis-33558	221	2	.	.	PUNCT
bracis-33558	221	3	springer	springer	NOUN
bracis-33558	221	4	,	,	PUNCT
bracis-33558	221	5	cham	cham	PROPN
bracis-33558	221	6	(	(	PUNCT
bracis-33558	221	7	2016	2016	NUM
bracis-33558	221	8	)	)	PUNCT
bracis-33558	221	9	.	.	PUNCT
bracis-33558	222	1	https://doi.org/10.1007/978-3-319-46523-4_39	https://doi.org/10.1007/978-3-319-46523-4_39	PROPN
bracis-33558	222	2	chapter	chapter	NOUN
bracis-33558	222	3	  	  	SPACE
bracis-33558	222	4	math	math	NOUN
bracis-33558	222	5	  	  	SPACE
bracis-33558	222	6	google	google	PROPN
bracis-33558	222	7	scholar	scholar	NOUN
bracis-33558	222	8	  	  	SPACE
bracis-33558	222	9	valejo	valejo	ADJ
bracis-33558	222	10	,	,	PUNCT
bracis-33558	222	11	a.d.b	a.d.b	NOUN
bracis-33558	222	12	.	.	PROPN
bracis-33558	222	13	,	,	PUNCT
bracis-33558	222	14	et	et	PROPN
bracis-33558	222	15	al	al	PROPN
bracis-33558	222	16	.	.	PUNCT
bracis-33558	222	17	:	:	PUNCT
bracis-33558	223	1	coarsening	coarsen	VERB
bracis-33558	223	2	algorithm	algorithm	NOUN
bracis-33558	223	3	via	via	ADP
bracis-33558	223	4	semi	semi	ADJ
bracis-33558	223	5	-	-	ADJ
bracis-33558	223	6	synchronous	synchronous	ADJ
bracis-33558	223	7	label	label	NOUN
bracis-33558	223	8	propagation	propagation	NOUN
bracis-33558	223	9	for	for	ADP
bracis-33558	223	10	bipartite	bipartite	PROPN
bracis-33558	223	11	networks	network	NOUN
bracis-33558	223	12	.	.	PUNCT
bracis-33558	224	1	in	in	ADP
bracis-33558	224	2	:	:	PUNCT
bracis-33558	224	3	britto	britto	PROPN
bracis-33558	224	4	,	,	PUNCT
bracis-33558	224	5	a.	a.	PROPN
bracis-33558	224	6	,	,	PUNCT
bracis-33558	224	7	valdivia	valdivia	PROPN
bracis-33558	224	8	delgado	delgado	PROPN
bracis-33558	224	9	,	,	PUNCT
bracis-33558	224	10	k.	k.	PROPN
bracis-33558	224	11	(	(	PUNCT
bracis-33558	224	12	eds	eds	PROPN
bracis-33558	224	13	.	.	PUNCT
bracis-33558	224	14	)	)	PUNCT
bracis-33558	224	15	bracis	bracis	PROPN
bracis-33558	224	16	2021	2021	NUM
bracis-33558	224	17	.	.	PUNCT
bracis-33558	225	1	lncs	lncs	PROPN
bracis-33558	225	2	(	(	PUNCT
bracis-33558	225	3	lnai	lnai	ADJ
bracis-33558	225	4	)	)	PUNCT
bracis-33558	225	5	,	,	PUNCT
bracis-33558	225	6	vol	vol	NOUN
bracis-33558	225	7	.	.	PUNCT
bracis-33558	225	8	13073	13073	NUM
bracis-33558	225	9	,	,	PUNCT
bracis-33558	225	10	pp	pp	ADV
bracis-33558	225	11	.	.	PUNCT
bracis-33558	226	1	437–452	437–452	NUM
bracis-33558	226	2	.	.	PUNCT
bracis-33558	226	3	springer	springer	NOUN
bracis-33558	226	4	,	,	PUNCT
bracis-33558	226	5	cham	cham	PROPN
bracis-33558	226	6	(	(	PUNCT
bracis-33558	226	7	2021	2021	NUM
bracis-33558	226	8	)	)	PUNCT
bracis-33558	226	9	.	.	PUNCT
bracis-33558	227	1	https://doi.org/10.1007/978-3-030-91702-9_29	https://doi.org/10.1007/978-3-030-91702-9_29	NOUN
bracis-33558	227	2	chapter	chapter	NOUN
bracis-33558	227	3	  	  	SPACE
bracis-33558	227	4	math	math	NOUN
bracis-33558	227	5	  	  	SPACE
bracis-33558	227	6	google	google	PROPN
bracis-33558	227	7	scholar	scholar	NOUN
bracis-33558	227	8	  	  	SPACE
bracis-33558	227	9	luo	luo	PROPN
bracis-33558	227	10	,	,	PUNCT
bracis-33558	227	11	c.	c.	PROPN
bracis-33558	227	12	,	,	PUNCT
bracis-33558	227	13	guan	guan	PROPN
bracis-33558	227	14	,	,	PUNCT
bracis-33558	227	15	r.	r.	PROPN
bracis-33558	227	16	,	,	PUNCT
bracis-33558	227	17	wang	wang	PROPN
bracis-33558	227	18	,	,	PUNCT
bracis-33558	227	19	z.	z.	PROPN
bracis-33558	227	20	,	,	PUNCT
bracis-33558	227	21	lin	lin	PROPN
bracis-33558	227	22	,	,	PUNCT
bracis-33558	227	23	c.	c.	PROPN
bracis-33558	227	24	:	:	PUNCT
bracis-33558	227	25	hetpathmine	hetpathmine	NOUN
bracis-33558	227	26	:	:	PUNCT
bracis-33558	227	27	a	a	DET
bracis-33558	227	28	novel	novel	ADJ
bracis-33558	227	29	transductive	transductive	ADJ
bracis-33558	227	30	classification	classification	NOUN
bracis-33558	227	31	algorithm	algorithm	NOUN
bracis-33558	227	32	on	on	ADP
bracis-33558	227	33	heterogeneous	heterogeneous	ADJ
bracis-33558	227	34	information	information	NOUN
bracis-33558	227	35	networks	network	NOUN
bracis-33558	227	36	.	.	PUNCT
bracis-33558	228	1	in	in	ADP
bracis-33558	228	2	:	:	PUNCT
bracis-33558	228	3	de	de	X
bracis-33558	228	4	rijke	rijke	NOUN
bracis-33558	228	5	,	,	PUNCT
bracis-33558	228	6	m.	m.	NOUN
bracis-33558	228	7	,	,	PUNCT
bracis-33558	228	8	et	et	PROPN
bracis-33558	228	9	al	al	PROPN
bracis-33558	228	10	.	.	PUNCT
bracis-33558	228	11	(	(	PUNCT
bracis-33558	228	12	eds	ed	NOUN
bracis-33558	228	13	.	.	PUNCT
bracis-33558	228	14	)	)	PUNCT
bracis-33558	229	1	ecir	ecir	PROPN
bracis-33558	229	2	2014	2014	NUM
bracis-33558	229	3	.	.	PUNCT
bracis-33558	230	1	lncs	lncs	PROPN
bracis-33558	230	2	,	,	PUNCT
bracis-33558	230	3	vol	vol	NOUN
bracis-33558	230	4	.	.	PROPN
bracis-33558	230	5	8416	8416	NUM
bracis-33558	230	6	,	,	PUNCT
bracis-33558	230	7	pp	pp	ADV
bracis-33558	230	8	.	.	PUNCT
bracis-33558	231	1	210–221	210–221	NUM
bracis-33558	231	2	.	.	PUNCT
bracis-33558	231	3	springer	springer	NOUN
bracis-33558	231	4	,	,	PUNCT
bracis-33558	231	5	cham	cham	PROPN
bracis-33558	231	6	(	(	PUNCT
bracis-33558	231	7	2014	2014	NUM
bracis-33558	231	8	)	)	PUNCT
bracis-33558	231	9	.	.	PUNCT
bracis-33558	232	1	https://doi.org/10.1007/978-3-319-06028-6_18	https://doi.org/10.1007/978-3-319-06028-6_18	PROPN
bracis-33558	232	2	chapter	chapter	NOUN
bracis-33558	232	3	  	  	SPACE
bracis-33558	232	4	math	math	NOUN
bracis-33558	232	5	  	  	SPACE
bracis-33558	232	6	google	google	PROPN
bracis-33558	232	7	scholar	scholar	NOUN
bracis-33558	232	8	  	  	SPACE
bracis-33558	232	9	gupta	gupta	PROPN
bracis-33558	232	10	,	,	PUNCT
bracis-33558	232	11	m.	m.	NOUN
bracis-33558	232	12	,	,	PUNCT
bracis-33558	232	13	kumar	kumar	PROPN
bracis-33558	232	14	,	,	PUNCT
bracis-33558	232	15	p.	p.	PROPN
bracis-33558	232	16	,	,	PUNCT
bracis-33558	232	17	bhasker	bhasker	PROPN
bracis-33558	232	18	,	,	PUNCT
bracis-33558	232	19	b.	b.	PROPN
bracis-33558	232	20	:	:	PUNCT
bracis-33558	232	21	heteclass	heteclass	VERB
bracis-33558	232	22	:	:	PUNCT
bracis-33558	232	23	a	a	DET
bracis-33558	232	24	meta	meta	ADJ
bracis-33558	232	25	-	-	PUNCT
bracis-33558	232	26	path	path	NOUN
bracis-33558	232	27	based	base	VERB
bracis-33558	232	28	framework	framework	NOUN
bracis-33558	232	29	for	for	ADP
bracis-33558	232	30	transductive	transductive	ADJ
bracis-33558	232	31	classification	classification	NOUN
bracis-33558	232	32	of	of	ADP
bracis-33558	232	33	objects	object	NOUN
bracis-33558	232	34	in	in	ADP
bracis-33558	232	35	heterogeneous	heterogeneous	ADJ
bracis-33558	232	36	information	information	NOUN
bracis-33558	232	37	networks	network	NOUN
bracis-33558	232	38	.	.	PUNCT
bracis-33558	233	1	expert	expert	NOUN
bracis-33558	233	2	syst	syst	PROPN
bracis-33558	233	3	.	.	PUNCT
bracis-33558	234	1	appl	appl	PROPN
bracis-33558	234	2	.	.	PROPN
bracis-33558	235	1	68	68	NUM
bracis-33558	235	2	,	,	PUNCT
bracis-33558	235	3	106–122	106–122	NUM
bracis-33558	235	4	(	(	PUNCT
bracis-33558	235	5	2017	2017	NUM
bracis-33558	235	6	)	)	PUNCT
bracis-33558	235	7	.	.	PUNCT
bracis-33558	236	1	https://linkinghub.elsevier.com/retrieve/pii/s0957417416305462	https://linkinghub.elsevier.com/retrieve/pii/s0957417416305462	PROPN
bracis-33558	236	2	valejo	valejo	PROPN
bracis-33558	236	3	,	,	PUNCT
bracis-33558	236	4	a.	a.	NOUN
bracis-33558	236	5	,	,	PUNCT
bracis-33558	236	6	góes	góes	PROPN
bracis-33558	236	7	,	,	PUNCT
bracis-33558	236	8	f.	f.	PROPN
bracis-33558	236	9	,	,	PUNCT
bracis-33558	236	10	romanetto	romanetto	PROPN
bracis-33558	236	11	,	,	PUNCT
bracis-33558	236	12	l.	l.	PROPN
bracis-33558	236	13	,	,	PUNCT
bracis-33558	236	14	ferreira	ferreira	PROPN
bracis-33558	236	15	 	 	SPACE
bracis-33558	236	16	de	de	PROPN
bracis-33558	236	17	oliveira	oliveira	PROPN
bracis-33558	236	18	,	,	PUNCT
bracis-33558	236	19	m.c	m.c	PROPN
bracis-33558	236	20	.	.	PROPN
bracis-33558	236	21	,	,	PUNCT
bracis-33558	236	22	de	de	PROPN
bracis-33558	236	23	 	 	SPACE
bracis-33558	236	24	andrade	andrade	PROPN
bracis-33558	236	25	 	 	SPACE
bracis-33558	236	26	lopes	lopes	PROPN
bracis-33558	236	27	,	,	PUNCT
bracis-33558	236	28	a.	a.	NOUN
bracis-33558	236	29	:	:	PUNCT
bracis-33558	236	30	a	a	DET
bracis-33558	236	31	benchmarking	benchmarke	VERB
bracis-33558	236	32	tool	tool	NOUN
bracis-33558	236	33	for	for	ADP
bracis-33558	236	34	the	the	DET
bracis-33558	236	35	generation	generation	NOUN
bracis-33558	236	36	of	of	ADP
bracis-33558	236	37	bipartite	bipartite	NOUN
bracis-33558	236	38	network	network	NOUN
bracis-33558	236	39	models	model	NOUN
bracis-33558	236	40	with	with	ADP
bracis-33558	236	41	overlapping	overlap	VERB
bracis-33558	236	42	communities	community	NOUN
bracis-33558	236	43	.	.	PUNCT
bracis-33558	237	1	knowl	knowl	PROPN
bracis-33558	237	2	.	.	PUNCT
bracis-33558	238	1	inf	inf	PROPN
bracis-33558	238	2	.	.	PUNCT
bracis-33558	238	3	syst	syst	PROPN
bracis-33558	238	4	.	.	PUNCT
bracis-33558	239	1	62(4	62(4	NUM
bracis-33558	239	2	)	)	PUNCT
bracis-33558	239	3	,	,	PUNCT
bracis-33558	239	4	1641–1669	1641–1669	NUM
bracis-33558	239	5	(	(	PUNCT
bracis-33558	239	6	2020	2020	NUM
bracis-33558	239	7	)	)	PUNCT
bracis-33558	239	8	.	.	PUNCT
bracis-33558	240	1	https://doi.org/10.1007/s10115-019-01411-9	https://doi.org/10.1007/s10115-019-01411-9	NOUN
bracis-33558	240	2	valejo	valejo	ADJ
bracis-33558	240	3	,	,	PUNCT
bracis-33558	240	4	a.	a.	NOUN
bracis-33558	240	5	,	,	PUNCT
bracis-33558	240	6	góes	góes	PROPN
bracis-33558	240	7	,	,	PUNCT
bracis-33558	240	8	f.	f.	PROPN
bracis-33558	240	9	,	,	PUNCT
bracis-33558	240	10	romanetto	romanetto	PROPN
bracis-33558	240	11	,	,	PUNCT
bracis-33558	240	12	l.	l.	PROPN
bracis-33558	240	13	,	,	PUNCT
bracis-33558	240	14	ferreira	ferreira	PROPN
bracis-33558	240	15	 	 	SPACE
bracis-33558	240	16	de	de	PROPN
bracis-33558	240	17	 	 	SPACE
bracis-33558	240	18	oliveira	oliveira	PROPN
bracis-33558	240	19	,	,	PUNCT
bracis-33558	240	20	m.c	m.c	PROPN
bracis-33558	240	21	.	.	PROPN
bracis-33558	240	22	,	,	PUNCT
bracis-33558	240	23	de	de	PROPN
bracis-33558	240	24	andrade	andrade	PROPN
bracis-33558	240	25	 	 	SPACE
bracis-33558	240	26	lopes	lopes	PROPN
bracis-33558	240	27	,	,	PUNCT
bracis-33558	240	28	a.	a.	NOUN
bracis-33558	240	29	:	:	PUNCT
bracis-33558	240	30	a	a	DET
bracis-33558	240	31	benchmarking	benchmarke	VERB
bracis-33558	240	32	tool	tool	NOUN
bracis-33558	240	33	for	for	ADP
bracis-33558	240	34	the	the	DET
bracis-33558	240	35	generation	generation	NOUN
bracis-33558	240	36	of	of	ADP
bracis-33558	240	37	bipartite	bipartite	NOUN
bracis-33558	240	38	network	network	NOUN
bracis-33558	240	39	models	model	NOUN
bracis-33558	240	40	with	with	ADP
bracis-33558	240	41	overlapping	overlap	VERB
bracis-33558	240	42	communities	community	NOUN
bracis-33558	240	43	.	.	PUNCT
bracis-33558	241	1	knowl	knowl	PROPN
bracis-33558	241	2	.	.	PUNCT
bracis-33558	242	1	inf	inf	PROPN
bracis-33558	242	2	.	.	PUNCT
bracis-33558	242	3	syst	syst	PROPN
bracis-33558	242	4	.	.	PUNCT
bracis-33558	243	1	62(4	62(4	NUM
bracis-33558	243	2	)	)	PUNCT
bracis-33558	243	3	,	,	PUNCT
bracis-33558	243	4	1641–1669	1641–1669	NUM
bracis-33558	243	5	(	(	PUNCT
bracis-33558	243	6	2019	2019	NUM
bracis-33558	243	7	)	)	PUNCT
bracis-33558	243	8	.	.	PUNCT
bracis-33558	244	1	https://doi.org/10.1007/s10115-019-01411-9	https://doi.org/10.1007/s10115-019-01411-9	NUM
bracis-33558	244	2	article	article	NOUN
bracis-33558	244	3	  	  	SPACE
bracis-33558	244	4	google	google	PROPN
bracis-33558	244	5	scholar	scholar	NOUN
bracis-33558	244	6	  	  	SPACE
bracis-33558	244	7	ji	ji	PROPN
bracis-33558	244	8	,	,	PUNCT
bracis-33558	244	9	m.	m.	NOUN
bracis-33558	244	10	,	,	PUNCT
bracis-33558	244	11	sun	sun	NOUN
bracis-33558	244	12	,	,	PUNCT
bracis-33558	244	13	y.	y.	NOUN
bracis-33558	244	14	,	,	PUNCT
bracis-33558	244	15	danilevsky	danilevsky	NOUN
bracis-33558	244	16	,	,	PUNCT
bracis-33558	244	17	m.	m.	NOUN
bracis-33558	244	18	,	,	PUNCT
bracis-33558	244	19	han	han	PROPN
bracis-33558	244	20	,	,	PUNCT
bracis-33558	244	21	j.	j.	PROPN
bracis-33558	244	22	,	,	PUNCT
bracis-33558	244	23	gao	gao	PROPN
bracis-33558	244	24	,	,	PUNCT
bracis-33558	244	25	j.	j.	PROPN
bracis-33558	244	26	:	:	PUNCT
bracis-33558	244	27	graph	graph	NOUN
bracis-33558	244	28	regularized	regularize	VERB
bracis-33558	244	29	transductive	transductive	ADJ
bracis-33558	244	30	classification	classification	NOUN
bracis-33558	244	31	on	on	ADP
bracis-33558	244	32	heterogeneous	heterogeneous	ADJ
bracis-33558	244	33	information	information	NOUN
bracis-33558	244	34	networks	network	NOUN
bracis-33558	244	35	.	.	PUNCT
bracis-33558	245	1	in	in	ADP
bracis-33558	245	2	:	:	PUNCT
bracis-33558	245	3	balcázar	balcázar	PROPN
bracis-33558	245	4	,	,	PUNCT
bracis-33558	245	5	j.l	j.l	PROPN
bracis-33558	245	6	.	.	PROPN
bracis-33558	245	7	,	,	PUNCT
bracis-33558	245	8	bonchi	bonchi	PROPN
bracis-33558	245	9	,	,	PUNCT
bracis-33558	245	10	f.	f.	PROPN
bracis-33558	245	11	,	,	PUNCT
bracis-33558	245	12	gionis	gionis	PROPN
bracis-33558	245	13	,	,	PUNCT
bracis-33558	245	14	a.	a.	NOUN
bracis-33558	245	15	,	,	PUNCT
bracis-33558	245	16	sebag	sebag	NOUN
bracis-33558	245	17	,	,	PUNCT
bracis-33558	245	18	m.	m.	NOUN
bracis-33558	245	19	(	(	PUNCT
bracis-33558	245	20	eds	ed	NOUN
bracis-33558	245	21	.	.	PUNCT
bracis-33558	245	22	)	)	PUNCT
bracis-33558	245	23	machine	machine	NOUN
bracis-33558	245	24	learning	learning	NOUN
bracis-33558	245	25	and	and	CCONJ
bracis-33558	245	26	knowledge	knowledge	NOUN
bracis-33558	245	27	discovery	discovery	NOUN
bracis-33558	245	28	in	in	ADP
bracis-33558	245	29	databases	database	NOUN
bracis-33558	245	30	,	,	PUNCT
bracis-33558	245	31	pp	pp	ADV
bracis-33558	245	32	.	.	PUNCT
bracis-33558	246	1	570–586	570–586	NUM
bracis-33558	246	2	.	.	PUNCT
bracis-33558	246	3	springer	springer	NOUN
bracis-33558	246	4	,	,	PUNCT
bracis-33558	246	5	heidelberg	heidelberg	PROPN
bracis-33558	246	6	(	(	PUNCT
bracis-33558	246	7	2010	2010	NUM
bracis-33558	246	8	)	)	PUNCT
bracis-33558	246	9	.	.	PUNCT
bracis-33558	247	1	https://doi.org/10.1007/978-3-642-15880-3_42	https://doi.org/10.1007/978-3-642-15880-3_42	PUNCT
bracis-33558	247	2	zhi	zhi	PROPN
bracis-33558	247	3	,	,	PUNCT
bracis-33558	247	4	s.	s.	PROPN
bracis-33558	247	5	,	,	PUNCT
bracis-33558	247	6	han	han	PROPN
bracis-33558	247	7	,	,	PUNCT
bracis-33558	247	8	j.	j.	PROPN
bracis-33558	247	9	,	,	PUNCT
bracis-33558	247	10	gu	gu	PROPN
bracis-33558	247	11	,	,	PUNCT
bracis-33558	247	12	q.	q.	PROPN
bracis-33558	247	13	:	:	PUNCT
bracis-33558	247	14	robust	robust	ADJ
bracis-33558	247	15	classification	classification	NOUN
bracis-33558	247	16	of	of	ADP
bracis-33558	247	17	information	information	NOUN
bracis-33558	247	18	networks	network	NOUN
bracis-33558	247	19	by	by	ADP
bracis-33558	247	20	consistent	consistent	ADJ
bracis-33558	247	21	graph	graph	NOUN
bracis-33558	247	22	learning	learning	NOUN
bracis-33558	247	23	.	.	PUNCT
bracis-33558	248	1	in	in	ADP
bracis-33558	248	2	:	:	PUNCT
bracis-33558	248	3	appice	appice	PROPN
bracis-33558	248	4	,	,	PUNCT
bracis-33558	248	5	a.	a.	PROPN
bracis-33558	248	6	,	,	PUNCT
bracis-33558	248	7	rodrigues	rodrigues	PROPN
bracis-33558	248	8	,	,	PUNCT
bracis-33558	248	9	p.p	p.p	PROPN
bracis-33558	248	10	.	.	PROPN
bracis-33558	248	11	,	,	PUNCT
bracis-33558	248	12	santos	santos	PROPN
bracis-33558	248	13	costa	costa	PROPN
bracis-33558	248	14	,	,	PUNCT
bracis-33558	248	15	v.	v.	ADV
bracis-33558	248	16	,	,	PUNCT
bracis-33558	248	17	gama	gama	NOUN
bracis-33558	248	18	,	,	PUNCT
bracis-33558	248	19	j.	j.	PROPN
bracis-33558	248	20	,	,	PUNCT
bracis-33558	248	21	jorge	jorge	PROPN
bracis-33558	248	22	,	,	PUNCT
bracis-33558	248	23	a.	a.	PROPN
bracis-33558	248	24	,	,	PUNCT
bracis-33558	248	25	soares	soares	PROPN
bracis-33558	248	26	,	,	PUNCT
bracis-33558	248	27	c.	c.	PROPN
bracis-33558	248	28	(	(	PUNCT
bracis-33558	248	29	eds	eds	PROPN
bracis-33558	248	30	.	.	PUNCT
bracis-33558	248	31	)	)	PUNCT
bracis-33558	248	32	ecml	ecml	PROPN
bracis-33558	248	33	pkdd	pkdd	NOUN
bracis-33558	248	34	2015	2015	NUM
bracis-33558	248	35	.	.	PUNCT
bracis-33558	249	1	lncs	lncs	PROPN
bracis-33558	249	2	(	(	PUNCT
bracis-33558	249	3	lnai	lnai	ADJ
bracis-33558	249	4	)	)	PUNCT
bracis-33558	249	5	,	,	PUNCT
bracis-33558	249	6	vol	vol	NOUN
bracis-33558	249	7	.	.	PROPN
bracis-33558	249	8	9285	9285	NUM
bracis-33558	249	9	,	,	PUNCT
bracis-33558	249	10	pp	pp	ADJ
bracis-33558	249	11	.	.	PUNCT
bracis-33558	250	1	752–767	752–767	NUM
bracis-33558	250	2	.	.	PUNCT
bracis-33558	250	3	springer	springer	NOUN
bracis-33558	250	4	,	,	PUNCT
bracis-33558	250	5	cham	cham	PROPN
bracis-33558	250	6	(	(	PUNCT
bracis-33558	250	7	2015	2015	NUM
bracis-33558	250	8	)	)	PUNCT
bracis-33558	250	9	.	.	PUNCT
bracis-33558	251	1	https://doi.org/10.1007/978-3-319-23525-7_46	https://doi.org/10.1007/978-3-319-23525-7_46	PROPN
bracis-33558	251	2	chapter	chapter	NOUN
bracis-33558	251	3	  	  	SPACE
bracis-33558	251	4	math	math	NOUN
bracis-33558	251	5	  	  	SPACE
bracis-33558	251	6	google	google	PROPN
bracis-33558	251	7	scholar	scholar	NOUN
bracis-33558	251	8	  	  	SPACE
bracis-33558	251	9	bangcharoensap	bangcharoensap	NOUN
bracis-33558	251	10	,	,	PUNCT
bracis-33558	251	11	p.	p.	NOUN
bracis-33558	251	12	,	,	PUNCT
bracis-33558	251	13	murata	murata	PROPN
bracis-33558	251	14	,	,	PUNCT
bracis-33558	251	15	t.	t.	PROPN
bracis-33558	251	16	,	,	PUNCT
bracis-33558	251	17	kobayashi	kobayashi	PROPN
bracis-33558	251	18	,	,	PUNCT
bracis-33558	251	19	h.	h.	PROPN
bracis-33558	251	20	,	,	PUNCT
bracis-33558	251	21	shimizu	shimizu	PROPN
bracis-33558	251	22	,	,	PUNCT
bracis-33558	251	23	n.	n.	NOUN
bracis-33558	251	24	:	:	PUNCT
bracis-33558	251	25	transductive	transductive	VERB
bracis-33558	251	26	classification	classification	NOUN
bracis-33558	251	27	on	on	ADP
bracis-33558	251	28	heterogeneous	heterogeneous	ADJ
bracis-33558	251	29	information	information	NOUN
bracis-33558	251	30	networks	network	NOUN
bracis-33558	251	31	with	with	ADP
bracis-33558	251	32	edge	edge	NOUN
bracis-33558	251	33	betweenness	betweenness	NOUN
bracis-33558	251	34	-	-	PUNCT
bracis-33558	251	35	based	base	VERB
bracis-33558	251	36	normalization	normalization	NOUN
bracis-33558	251	37	.	.	PUNCT
bracis-33558	252	1	in	in	ADP
bracis-33558	252	2	:	:	PUNCT
bracis-33558	252	3	proceedings	proceeding	NOUN
bracis-33558	252	4	of	of	ADP
bracis-33558	252	5	the	the	DET
bracis-33558	252	6	ninth	ninth	ADJ
bracis-33558	252	7	acm	acm	PROPN
bracis-33558	252	8	international	international	ADJ
bracis-33558	252	9	conference	conference	NOUN
bracis-33558	252	10	on	on	ADP
bracis-33558	252	11	web	web	NOUN
bracis-33558	252	12	search	search	NOUN
bracis-33558	252	13	and	and	CCONJ
bracis-33558	252	14	data	datum	NOUN
bracis-33558	252	15	mining	mining	NOUN
bracis-33558	252	16	(	(	PUNCT
bracis-33558	252	17	2016	2016	NUM
bracis-33558	252	18	)	)	PUNCT
bracis-33558	252	19	google	google	PROPN
bracis-33558	252	20	scholar	scholar	NOUN
bracis-33558	252	21	  	  	SPACE
bracis-33558	252	22	faleiros	faleiros	PROPN
bracis-33558	252	23	,	,	PUNCT
bracis-33558	252	24	t.	t.	PROPN
bracis-33558	252	25	,	,	PUNCT
bracis-33558	252	26	rossi	rossi	PROPN
bracis-33558	252	27	,	,	PUNCT
bracis-33558	252	28	r.	r.	PROPN
bracis-33558	252	29	,	,	PUNCT
bracis-33558	252	30	lopes	lopes	PROPN
bracis-33558	252	31	,	,	PUNCT
bracis-33558	252	32	a.	a.	NOUN
bracis-33558	252	33	:	:	PUNCT
bracis-33558	252	34	optimizing	optimize	VERB
bracis-33558	252	35	the	the	DET
bracis-33558	252	36	class	class	NOUN
bracis-33558	252	37	information	information	NOUN
bracis-33558	252	38	divergence	divergence	NOUN
bracis-33558	252	39	for	for	ADP
bracis-33558	252	40	transductive	transductive	ADJ
bracis-33558	252	41	classification	classification	NOUN
bracis-33558	252	42	of	of	ADP
bracis-33558	252	43	texts	text	NOUN
bracis-33558	252	44	using	use	VERB
bracis-33558	252	45	propagation	propagation	NOUN
bracis-33558	252	46	in	in	ADP
bracis-33558	252	47	bipartite	bipartite	NOUN
bracis-33558	252	48	graphs	graph	NOUN
bracis-33558	252	49	.	.	PUNCT
bracis-33558	253	1	pattern	pattern	NOUN
bracis-33558	253	2	recogn	recogn	PROPN
bracis-33558	253	3	.	.	PUNCT
bracis-33558	254	1	lett	lett	PROPN
bracis-33558	254	2	.	.	PUNCT
bracis-33558	255	1	87	87	NUM
bracis-33558	255	2	,	,	PUNCT
bracis-33558	255	3	04	04	NUM
bracis-33558	255	4	(	(	PUNCT
bracis-33558	255	5	2016	2016	NUM
bracis-33558	255	6	)	)	PUNCT
bracis-33558	255	7	math	math	NOUN
bracis-33558	255	8	  	  	SPACE
bracis-33558	255	9	google	google	PROPN
bracis-33558	255	10	scholar	scholar	NOUN
bracis-33558	255	11	  	  	SPACE
bracis-33558	255	12	luo	luo	PROPN
bracis-33558	255	13	,	,	PUNCT
bracis-33558	255	14	j.	j.	PROPN
bracis-33558	255	15	,	,	PUNCT
bracis-33558	255	16	ding	ding	NOUN
bracis-33558	255	17	,	,	PUNCT
bracis-33558	255	18	p.	p.	PROPN
bracis-33558	255	19	,	,	PUNCT
bracis-33558	255	20	liang	liang	PROPN
bracis-33558	255	21	,	,	PUNCT
bracis-33558	255	22	c.	c.	PROPN
bracis-33558	255	23	,	,	PUNCT
bracis-33558	255	24	chen	chen	PROPN
bracis-33558	255	25	,	,	PUNCT
bracis-33558	255	26	x.	x.	NOUN
bracis-33558	255	27	:	:	PUNCT
bracis-33558	255	28	semi	semi	ADJ
bracis-33558	255	29	-	-	ADJ
bracis-33558	255	30	supervised	supervised	ADJ
bracis-33558	255	31	prediction	prediction	NOUN
bracis-33558	255	32	of	of	ADP
bracis-33558	255	33	human	human	ADJ
bracis-33558	255	34	mirna	mirna	NOUN
bracis-33558	255	35	-	-	PUNCT
bracis-33558	255	36	disease	disease	NOUN
bracis-33558	255	37	association	association	NOUN
bracis-33558	255	38	based	base	VERB
bracis-33558	255	39	on	on	ADP
bracis-33558	255	40	graph	graph	NOUN
bracis-33558	255	41	regularization	regularization	NOUN
bracis-33558	255	42	framework	framework	NOUN
bracis-33558	255	43	in	in	ADP
bracis-33558	255	44	heterogeneous	heterogeneous	ADJ
bracis-33558	255	45	networks	network	NOUN
bracis-33558	255	46	.	.	PUNCT
bracis-33558	256	1	neurocomputing	neurocompute	VERB
bracis-33558	256	2	294	294	NUM
bracis-33558	256	3	,	,	PUNCT
bracis-33558	256	4	29–38	29–38	NUM
bracis-33558	256	5	(	(	PUNCT
bracis-33558	256	6	2018	2018	NUM
bracis-33558	256	7	)	)	PUNCT
bracis-33558	256	8	.	.	PUNCT
bracis-33558	257	1	https://www.sciencedirect.com/science/article/pii/s0925231218302674	https://www.sciencedirect.com/science/article/pii/s0925231218302674	PUNCT
bracis-33558	257	2	ding	ding	PROPN
bracis-33558	257	3	,	,	PUNCT
bracis-33558	257	4	p.	p.	PROPN
bracis-33558	257	5	,	,	PUNCT
bracis-33558	257	6	shen	shen	PROPN
bracis-33558	257	7	,	,	PUNCT
bracis-33558	257	8	c.	c.	PROPN
bracis-33558	257	9	,	,	PUNCT
bracis-33558	257	10	lai	lai	PROPN
bracis-33558	257	11	,	,	PUNCT
bracis-33558	257	12	z.	z.	PROPN
bracis-33558	257	13	,	,	PUNCT
bracis-33558	257	14	liang	liang	PROPN
bracis-33558	257	15	,	,	PUNCT
bracis-33558	257	16	c.	c.	PROPN
bracis-33558	257	17	,	,	PUNCT
bracis-33558	257	18	li	li	PROPN
bracis-33558	257	19	,	,	PUNCT
bracis-33558	257	20	g.	g.	PROPN
bracis-33558	257	21	,	,	PUNCT
bracis-33558	257	22	luo	luo	PROPN
bracis-33558	257	23	,	,	PUNCT
bracis-33558	257	24	j.	j.	PROPN
bracis-33558	257	25	:	:	PUNCT
bracis-33558	257	26	incorporating	incorporate	VERB
bracis-33558	257	27	multisource	multisource	ADJ
bracis-33558	257	28	knowledge	knowledge	NOUN
bracis-33558	257	29	to	to	PART
bracis-33558	257	30	predict	predict	VERB
bracis-33558	257	31	drug	drug	NOUN
bracis-33558	257	32	synergy	synergy	NOUN
bracis-33558	257	33	based	base	VERB
bracis-33558	257	34	on	on	ADP
bracis-33558	257	35	graph	graph	NOUN
bracis-33558	257	36	co	co	NOUN
bracis-33558	257	37	-	-	NOUN
bracis-33558	257	38	regularization	regularization	NOUN
bracis-33558	257	39	.	.	PUNCT
bracis-33558	258	1	j.	j.	PROPN
bracis-33558	258	2	chem	chem	PROPN
bracis-33558	258	3	.	.	PUNCT
bracis-33558	259	1	inf	inf	PROPN
bracis-33558	259	2	.	.	PROPN
bracis-33558	259	3	model	model	PROPN
bracis-33558	259	4	.	.	PUNCT
bracis-33558	260	1	60(1	60(1	NUM
bracis-33558	260	2	)	)	PUNCT
bracis-33558	260	3	,	,	PUNCT
bracis-33558	260	4	37–46	37–46	NUM
bracis-33558	260	5	(	(	PUNCT
bracis-33558	260	6	2019	2019	NUM
bracis-33558	260	7	)	)	PUNCT
bracis-33558	260	8	article	article	NOUN
bracis-33558	260	9	  	  	SPACE
bracis-33558	260	10	google	google	PROPN
bracis-33558	260	11	scholar	scholar	NOUN
bracis-33558	260	12	  	  	SPACE
bracis-33558	260	13	download	download	NOUN
bracis-33558	260	14	references	reference	NOUN
bracis-33558	260	15	acknowledgment	acknowledgment	NOUN
bracis-33558	260	16	this	this	DET
bracis-33558	260	17	work	work	NOUN
bracis-33558	260	18	is	be	AUX
bracis-33558	260	19	supported	support	VERB
bracis-33558	260	20	by	by	ADP
bracis-33558	260	21	são	são	PROPN
bracis-33558	260	22	paulo	paulo	PROPN
bracis-33558	260	23	research	research	PROPN
bracis-33558	260	24	foundation	foundation	PROPN
bracis-33558	260	25	(	(	PUNCT
bracis-33558	260	26	fapesp	fapesp	NOUN
bracis-33558	260	27	)	)	PUNCT
bracis-33558	260	28	under	under	ADP
bracis-33558	260	29	grant	grant	NOUN
bracis-33558	260	30	numbers	number	NOUN
bracis-33558	260	31	2022/03090	2022/03090	NUM
bracis-33558	260	32	-	-	SYM
bracis-33558	260	33	0	0	NUM
bracis-33558	260	34	.	.	PUNCT
bracis-33558	261	1	author	author	NOUN
bracis-33558	261	2	information	information	NOUN
bracis-33558	261	3	authors	author	NOUN
bracis-33558	261	4	and	and	CCONJ
bracis-33558	261	5	affiliations	affiliation	NOUN
bracis-33558	261	6	university	university	PROPN
bracis-33558	261	7	of	of	ADP
bracis-33558	261	8	brasília	brasília	PROPN
bracis-33558	261	9	(	(	PUNCT
bracis-33558	261	10	unb	unb	PROPN
bracis-33558	261	11	)	)	PUNCT
bracis-33558	261	12	,	,	PUNCT
bracis-33558	261	13	brasília	brasília	PROPN
bracis-33558	261	14	,	,	PUNCT
bracis-33558	261	15	df	df	PROPN
bracis-33558	261	16	,	,	PUNCT
bracis-33558	261	17	brazil	brazil	PROPN
bracis-33558	261	18	thiago	thiago	PROPN
bracis-33558	261	19	de	de	PROPN
bracis-33558	261	20	paulo	paulo	PROPN
bracis-33558	261	21	faleiros	faleiros	PROPN
bracis-33558	261	22	 	 	SPACE
bracis-33558	261	23	&	&	CCONJ
bracis-33558	261	24	 	 	SPACE
bracis-33558	261	25	paulo	paulo	PROPN
bracis-33558	261	26	eduardo	eduardo	PROPN
bracis-33558	261	27	althoff	althoff	PROPN
bracis-33558	261	28	department	department	PROPN
bracis-33558	261	29	of	of	ADP
bracis-33558	261	30	computing	computing	PROPN
bracis-33558	261	31	,	,	PUNCT
bracis-33558	261	32	federal	federal	ADJ
bracis-33558	261	33	university	university	PROPN
bracis-33558	261	34	of	of	ADP
bracis-33558	261	35	são	são	PROPN
bracis-33558	261	36	carlos	carlos	PROPN
bracis-33558	261	37	(	(	PUNCT
bracis-33558	261	38	ufscar	ufscar	PROPN
bracis-33558	261	39	)	)	PUNCT
bracis-33558	261	40	,	,	PUNCT
bracis-33558	261	41	são	são	PROPN
bracis-33558	261	42	carlos	carlos	PROPN
bracis-33558	261	43	,	,	PUNCT
bracis-33558	261	44	sp	sp	PROPN
bracis-33558	261	45	,	,	PUNCT
bracis-33558	261	46	brazil	brazil	PROPN
bracis-33558	261	47	alan	alan	PROPN
bracis-33558	261	48	demétrius	demétrius	PROPN
bracis-33558	261	49	baria	baria	PROPN
bracis-33558	261	50	valejo	valejo	PROPN
bracis-33558	261	51	authors	author	NOUN
bracis-33558	261	52	thiago	thiago	PROPN
bracis-33558	261	53	de	de	PROPN
bracis-33558	261	54	paulo	paulo	PROPN
bracis-33558	261	55	faleirosview	faleirosview	PROPN
bracis-33558	261	56	author	author	NOUN
bracis-33558	261	57	publications	publication	NOUN
bracis-33558	261	58	search	search	NOUN
bracis-33558	261	59	author	author	NOUN
bracis-33558	261	60	on	on	ADP
bracis-33558	261	61	:	:	PUNCT
bracis-33558	261	62	pubmed	pubmed	PROPN
bracis-33558	261	63	 	 	SPACE
bracis-33558	261	64	google	google	PROPN
bracis-33558	261	65	scholar	scholar	PROPN
bracis-33558	261	66	paulo	paulo	PROPN
bracis-33558	261	67	eduardo	eduardo	PROPN
bracis-33558	261	68	althoffview	althoffview	VERB
bracis-33558	261	69	author	author	NOUN
bracis-33558	261	70	publications	publication	NOUN
bracis-33558	261	71	search	search	NOUN
bracis-33558	261	72	author	author	NOUN
bracis-33558	261	73	on	on	ADP
bracis-33558	261	74	:	:	PUNCT
bracis-33558	261	75	pubmed	pubmed	PROPN
bracis-33558	261	76	 	 	SPACE
bracis-33558	261	77	google	google	PROPN
bracis-33558	261	78	scholar	scholar	PROPN
bracis-33558	261	79	alan	alan	PROPN
bracis-33558	261	80	demétrius	demétrius	PROPN
bracis-33558	261	81	baria	baria	PROPN
bracis-33558	261	82	valejoview	valejoview	NOUN
bracis-33558	261	83	author	author	NOUN
bracis-33558	261	84	publications	publication	NOUN
bracis-33558	261	85	search	search	NOUN
bracis-33558	261	86	author	author	NOUN
bracis-33558	261	87	on	on	ADP
bracis-33558	261	88	:	:	PUNCT
bracis-33558	261	89	pubmed	pubmed	PROPN
bracis-33558	261	90	 	 	SPACE
bracis-33558	261	91	google	google	PROPN
bracis-33558	261	92	scholar	scholar	NOUN
bracis-33558	261	93	corresponding	correspond	VERB
bracis-33558	261	94	author	author	NOUN
bracis-33558	261	95	correspondence	correspondence	NOUN
bracis-33558	261	96	to	to	ADP
bracis-33558	261	97	thiago	thiago	PROPN
bracis-33558	261	98	de	de	PROPN
bracis-33558	261	99	paulo	paulo	PROPN
bracis-33558	261	100	faleiros	faleiros	PROPN
bracis-33558	261	101	.	.	PUNCT
bracis-33558	262	1	editor	editor	NOUN
bracis-33558	262	2	information	information	NOUN
bracis-33558	262	3	editors	editor	NOUN
bracis-33558	262	4	and	and	CCONJ
bracis-33558	262	5	affiliations	affiliation	NOUN
bracis-33558	262	6	universidade	universidade	VERB
bracis-33558	262	7	federal	federal	PROPN
bracis-33558	262	8	fluminense	fluminense	PROPN
bracis-33558	262	9	,	,	PUNCT
bracis-33558	262	10	niterói	niterói	PROPN
bracis-33558	262	11	,	,	PUNCT
bracis-33558	262	12	brazil	brazil	PROPN
bracis-33558	262	13	aline	aline	PROPN
bracis-33558	262	14	paes	paes	PROPN
bracis-33558	262	15	instituto	instituto	PROPN
bracis-33558	262	16	tecnológico	tecnológico	PROPN
bracis-33558	262	17	de	de	PROPN
bracis-33558	262	18	aeronáutica	aeronáutica	PROPN
bracis-33558	262	19	,	,	PUNCT
bracis-33558	262	20	são	são	PROPN
bracis-33558	262	21	josé	josé	PROPN
bracis-33558	262	22	dos	dos	PROPN
bracis-33558	262	23	campos	campos	PROPN
bracis-33558	262	24	,	,	PUNCT
bracis-33558	262	25	brazil	brazil	PROPN
bracis-33558	262	26	filipe	filipe	PROPN
bracis-33558	262	27	a.	a.	PROPN
bracis-33558	262	28	n.	n.	PROPN
bracis-33558	262	29	verri	verri	PROPN
bracis-33558	262	30	rights	right	NOUN
bracis-33558	262	31	and	and	CCONJ
bracis-33558	262	32	permissions	permission	NOUN
bracis-33558	262	33	reprints	reprint	NOUN
bracis-33558	262	34	and	and	CCONJ
bracis-33558	262	35	permissions	permission	VERB
bracis-33558	262	36	copyright	copyright	NOUN
bracis-33558	262	37	information	information	NOUN
bracis-33558	262	38	©	©	ADP
bracis-33558	262	39	2025	2025	NUM
bracis-33558	262	40	the	the	DET
bracis-33558	262	41	author(s	author(s	NOUN
bracis-33558	262	42	)	)	PUNCT
bracis-33558	262	43	,	,	PUNCT
bracis-33558	262	44	under	under	ADP
bracis-33558	262	45	exclusive	exclusive	ADJ
bracis-33558	262	46	license	license	NOUN
bracis-33558	262	47	to	to	ADP
bracis-33558	262	48	springer	springer	NOUN
bracis-33558	262	49	nature	nature	PROPN
bracis-33558	262	50	switzerland	switzerland	PROPN
bracis-33558	262	51	ag	ag	PROPN
bracis-33558	262	52	about	about	ADP
bracis-33558	262	53	this	this	DET
bracis-33558	262	54	paper	paper	NOUN
bracis-33558	262	55	cite	cite	VERB
bracis-33558	262	56	this	this	DET
bracis-33558	262	57	paper	paper	NOUN
bracis-33558	262	58	de	de	ADP
bracis-33558	262	59	paulo	paulo	PROPN
bracis-33558	262	60	faleiros	faleiros	PROPN
bracis-33558	262	61	,	,	PUNCT
bracis-33558	262	62	t.	t.	NOUN
bracis-33558	262	63	,	,	PUNCT
bracis-33558	262	64	althoff	althoff	NOUN
bracis-33558	262	65	,	,	PUNCT
bracis-33558	262	66	p.e	p.e	PROPN
bracis-33558	262	67	.	.	PROPN
bracis-33558	262	68	,	,	PUNCT
bracis-33558	262	69	valejo	valejo	ADJ
bracis-33558	262	70	,	,	PUNCT
bracis-33558	262	71	a.d.b	a.d.b	NOUN
bracis-33558	262	72	.	.	PUNCT
bracis-33558	263	1	(	(	PUNCT
bracis-33558	263	2	2025	2025	NUM
bracis-33558	263	3	)	)	PUNCT
bracis-33558	263	4	.	.	PUNCT
bracis-33558	264	1	analyzing	analyze	VERB
bracis-33558	264	2	the	the	DET
bracis-33558	264	3	 	 	SPACE
bracis-33558	264	4	impact	impact	NOUN
bracis-33558	264	5	of	of	ADP
bracis-33558	264	6	 	 	SPACE
bracis-33558	264	7	coarsening	coarsen	VERB
bracis-33558	264	8	on	on	ADP
bracis-33558	264	9	 	 	SPACE
bracis-33558	264	10	k	k	ADJ
bracis-33558	264	11	-	-	ADJ
bracis-33558	264	12	partite	partite	ADJ
bracis-33558	264	13	network	network	NOUN
bracis-33558	264	14	classification	classification	NOUN
bracis-33558	264	15	.	.	PUNCT
bracis-33558	265	1	in	in	ADP
bracis-33558	265	2	:	:	PUNCT
bracis-33558	265	3	paes	paes	PROPN
bracis-33558	265	4	,	,	PUNCT
bracis-33558	265	5	a.	a.	PROPN
bracis-33558	265	6	,	,	PUNCT
bracis-33558	265	7	verri	verri	NOUN
bracis-33558	265	8	,	,	PUNCT
bracis-33558	265	9	f.a.n	f.a.n	ADJ
bracis-33558	265	10	.	.	PUNCT
bracis-33558	265	11	(	(	PUNCT
bracis-33558	265	12	eds	ed	NOUN
bracis-33558	265	13	)	)	PUNCT
bracis-33558	265	14	intelligent	intelligent	ADJ
bracis-33558	265	15	systems	system	NOUN
bracis-33558	265	16	.	.	PUNCT
bracis-33558	265	17	bracis	bracis	PROPN
bracis-33558	265	18	2024	2024	NUM
bracis-33558	265	19	.	.	PUNCT
bracis-33558	266	1	lecture	lecture	NOUN
bracis-33558	266	2	notes	note	NOUN
bracis-33558	266	3	in	in	ADP
bracis-33558	266	4	computer	computer	NOUN
bracis-33558	266	5	science	science	NOUN
bracis-33558	266	6	(	(	PUNCT
bracis-33558	266	7	)	)	PUNCT
bracis-33558	266	8	,	,	PUNCT
bracis-33558	266	9	vol	vol	NOUN
bracis-33558	266	10	15412	15412	NUM
bracis-33558	266	11	.	.	PUNCT
bracis-33558	267	1	springer	springer	NOUN
bracis-33558	267	2	,	,	PUNCT
bracis-33558	267	3	cham	cham	PROPN
bracis-33558	267	4	.	.	PUNCT
bracis-33558	268	1	https://doi.org/10.1007/978-3-031-79029-4_11	https://doi.org/10.1007/978-3-031-79029-4_11	PROPN
bracis-33558	268	2	download	download	NOUN
bracis-33558	268	3	citation	citation	NOUN
bracis-33558	268	4	.ris	.ris	PUNCT
bracis-33558	268	5	.enw	.enw	PROPN
bracis-33558	268	6	.bib	.bib	PUNCT
bracis-33558	269	1	doi	doi	PROPN
bracis-33558	269	2	:	:	PUNCT
bracis-33558	269	3	https://doi.org/10.1007/978-3-031-79029-4_11	https://doi.org/10.1007/978-3-031-79029-4_11	PROPN
bracis-33558	269	4	published	publish	VERB
bracis-33558	269	5	:	:	PUNCT
bracis-33558	269	6	30	30	NUM
bracis-33558	269	7	january	january	PROPN
bracis-33558	269	8	2025	2025	NUM
bracis-33558	269	9	publisher	publisher	NOUN
bracis-33558	269	10	name	name	NOUN
bracis-33558	269	11	:	:	PUNCT
bracis-33558	269	12	springer	springer	NOUN
bracis-33558	269	13	,	,	PUNCT
bracis-33558	269	14	cham	cham	PROPN
bracis-33558	269	15	print	print	PROPN
bracis-33558	269	16	isbn	isbn	PROPN
bracis-33558	269	17	:	:	PUNCT
bracis-33558	269	18	978	978	NUM
bracis-33558	269	19	-	-	SYM
bracis-33558	269	20	3	3	NUM
bracis-33558	269	21	-	-	PUNCT
bracis-33558	269	22	031	031	NUM
bracis-33558	269	23	-	-	PUNCT
bracis-33558	269	24	79028	79028	NUM
bracis-33558	269	25	-	-	SYM
bracis-33558	269	26	7	7	NUM
bracis-33558	269	27	online	online	ADJ
bracis-33558	269	28	isbn	isbn	NOUN
bracis-33558	269	29	:	:	PUNCT
bracis-33558	269	30	978	978	NUM
bracis-33558	269	31	-	-	SYM
bracis-33558	269	32	3	3	NUM
bracis-33558	269	33	-	-	PUNCT
bracis-33558	269	34	031	031	NUM
bracis-33558	269	35	-	-	PUNCT
bracis-33558	269	36	79029	79029	NUM
bracis-33558	269	37	-	-	SYM
bracis-33558	269	38	4	4	NUM
bracis-33558	269	39	ebook	ebook	NOUN
bracis-33558	269	40	packages	package	NOUN
bracis-33558	269	41	:	:	PUNCT
bracis-33558	269	42	computer	computer	NOUN
bracis-33558	269	43	sciencecomputer	sciencecomputer	NOUN
bracis-33558	269	44	science	science	NOUN
bracis-33558	269	45	(	(	PUNCT
bracis-33558	269	46	r0	r0	NOUN
bracis-33558	269	47	)	)	PUNCT
bracis-33558	269	48	share	share	VERB
bracis-33558	269	49	this	this	DET
bracis-33558	269	50	paper	paper	NOUN
bracis-33558	269	51	anyone	anyone	PRON
bracis-33558	269	52	you	you	PRON
bracis-33558	269	53	share	share	VERB
bracis-33558	269	54	the	the	DET
bracis-33558	269	55	following	follow	VERB
bracis-33558	269	56	link	link	NOUN
bracis-33558	269	57	with	with	ADP
bracis-33558	269	58	will	will	AUX
bracis-33558	269	59	be	be	AUX
bracis-33558	269	60	able	able	ADJ
bracis-33558	269	61	to	to	PART
bracis-33558	269	62	read	read	VERB
bracis-33558	269	63	this	this	DET
bracis-33558	269	64	content	content	NOUN
bracis-33558	269	65	:	:	PUNCT
bracis-33558	269	66	get	get	VERB
bracis-33558	269	67	shareable	shareable	ADJ
bracis-33558	269	68	linksorry	linksorry	NOUN
bracis-33558	269	69	,	,	PUNCT
bracis-33558	269	70	a	a	DET
bracis-33558	269	71	shareable	shareable	ADJ
bracis-33558	269	72	link	link	NOUN
bracis-33558	269	73	is	be	AUX
bracis-33558	269	74	not	not	PART
bracis-33558	269	75	currently	currently	ADV
bracis-33558	269	76	available	available	ADJ
bracis-33558	269	77	for	for	ADP
bracis-33558	269	78	this	this	DET
bracis-33558	269	79	article	article	NOUN
bracis-33558	269	80	.	.	PUNCT
bracis-33558	270	1	copy	copy	VERB
bracis-33558	270	2	shareable	shareable	ADJ
bracis-33558	270	3	link	link	NOUN
bracis-33558	270	4	to	to	PART
bracis-33558	270	5	clipboard	clipboard	NOUN
bracis-33558	270	6	provided	provide	VERB
bracis-33558	270	7	by	by	ADP
bracis-33558	270	8	the	the	DET
bracis-33558	270	9	springer	springer	NOUN
bracis-33558	270	10	nature	nature	PROPN
bracis-33558	270	11	sharedit	sharedit	PROPN
bracis-33558	270	12	content	content	NOUN
bracis-33558	270	13	-	-	PUNCT
bracis-33558	270	14	sharing	share	VERB
bracis-33558	270	15	initiative	initiative	NOUN
bracis-33558	270	16	keywords	keyword	NOUN
bracis-33558	270	17	graph	graph	NOUN
bracis-33558	270	18	network	network	NOUN
bracis-33558	270	19	coarsening	coarsen	VERB
bracis-33558	270	20	k	k	ADJ
bracis-33558	270	21	-	-	ADJ
bracis-33558	270	22	partite	partite	ADJ
bracis-33558	270	23	network	network	NOUN
bracis-33558	270	24	node	node	NOUN
bracis-33558	270	25	classification	classification	NOUN
bracis-33558	270	26	transductive	transductive	NOUN
bracis-33558	270	27	learning	learning	NOUN
bracis-33558	270	28	publish	publish	VERB
bracis-33558	270	29	with	with	ADP
bracis-33558	270	30	us	us	PROPN
bracis-33558	270	31	policies	policy	NOUN
bracis-33558	270	32	and	and	CCONJ
bracis-33558	270	33	ethics	ethic	NOUN
bracis-33558	270	34	profiles	profile	NOUN
bracis-33558	270	35	thiago	thiago	PROPN
bracis-33558	270	36	de	de	PROPN
bracis-33558	270	37	paulo	paulo	PROPN
bracis-33558	270	38	faleiros	faleiros	PROPN
bracis-33558	270	39	view	view	NOUN
bracis-33558	270	40	author	author	NOUN
bracis-33558	270	41	profile	profile	NOUN
bracis-33558	270	42	search	search	NOUN
bracis-33558	270	43	search	search	NOUN
bracis-33558	270	44	by	by	ADP
bracis-33558	270	45	keyword	keyword	NOUN
bracis-33558	270	46	or	or	CCONJ
bracis-33558	270	47	author	author	NOUN
bracis-33558	270	48	search	search	NOUN
bracis-33558	270	49	navigation	navigation	NOUN
bracis-33558	270	50	find	find	VERB
bracis-33558	270	51	a	a	DET
bracis-33558	270	52	journal	journal	NOUN
bracis-33558	270	53	publish	publish	VERB
bracis-33558	270	54	with	with	ADP
bracis-33558	270	55	us	we	PRON
bracis-33558	270	56	track	track	VERB
bracis-33558	270	57	your	your	PRON
bracis-33558	270	58	research	research	NOUN
bracis-33558	270	59	discover	discover	VERB
bracis-33558	270	60	content	content	NOUN
bracis-33558	270	61	journals	journal	NOUN
bracis-33558	270	62	a	a	DET
bracis-33558	270	63	-	-	PUNCT
bracis-33558	270	64	z	z	NOUN
bracis-33558	270	65	books	book	NOUN
bracis-33558	270	66	a	a	DET
bracis-33558	270	67	-	-	PUNCT
bracis-33558	270	68	z	z	NOUN
bracis-33558	270	69	publish	publish	NOUN
bracis-33558	270	70	with	with	ADP
bracis-33558	270	71	us	us	PROPN
bracis-33558	270	72	journal	journal	PROPN
bracis-33558	270	73	finder	finder	PROPN
bracis-33558	270	74	publish	publish	VERB
bracis-33558	270	75	your	your	PRON
bracis-33558	270	76	research	research	NOUN
bracis-33558	270	77	language	language	NOUN
bracis-33558	270	78	editing	edit	VERB
bracis-33558	270	79	open	open	ADJ
bracis-33558	270	80	access	access	NOUN
bracis-33558	270	81	publishing	publishing	NOUN
bracis-33558	270	82	products	product	NOUN
bracis-33558	270	83	and	and	CCONJ
bracis-33558	270	84	services	service	NOUN
bracis-33558	270	85	our	our	PRON
bracis-33558	270	86	products	product	NOUN
bracis-33558	270	87	librarians	librarian	VERB
bracis-33558	270	88	societies	society	NOUN
bracis-33558	270	89	partners	partner	NOUN
bracis-33558	270	90	and	and	CCONJ
bracis-33558	270	91	advertisers	advertiser	NOUN
bracis-33558	270	92	our	our	PRON
bracis-33558	270	93	brands	brand	NOUN
bracis-33558	270	94	springer	springer	NOUN
bracis-33558	270	95	nature	nature	PROPN
bracis-33558	270	96	portfolio	portfolio	PROPN
bracis-33558	270	97	bmc	bmc	PROPN
bracis-33558	270	98	palgrave	palgrave	PROPN
bracis-33558	270	99	macmillan	macmillan	PROPN
bracis-33558	270	100	apress	apress	PROPN
bracis-33558	270	101	discover	discover	VERB
bracis-33558	270	102	your	your	PRON
bracis-33558	270	103	privacy	privacy	NOUN
bracis-33558	270	104	choices	choice	NOUN
bracis-33558	270	105	/	/	SYM
bracis-33558	270	106	manage	manage	NOUN
bracis-33558	270	107	cookies	cookie	NOUN
bracis-33558	270	108	your	your	PRON
bracis-33558	270	109	us	us	PROPN
bracis-33558	271	1	state	state	NOUN
bracis-33558	271	2	privacy	privacy	NOUN
bracis-33558	271	3	rights	right	NOUN
bracis-33558	271	4	accessibility	accessibility	NOUN
bracis-33558	271	5	statement	statement	NOUN
bracis-33558	271	6	terms	term	NOUN
bracis-33558	271	7	and	and	CCONJ
bracis-33558	271	8	conditions	condition	NOUN
bracis-33558	271	9	privacy	privacy	NOUN
bracis-33558	271	10	policy	policy	NOUN
bracis-33558	271	11	help	help	NOUN
bracis-33558	271	12	and	and	CCONJ
bracis-33558	271	13	support	support	VERB
bracis-33558	271	14	legal	legal	ADJ
bracis-33558	271	15	notice	notice	NOUN
bracis-33558	271	16	cancel	cancel	VERB
bracis-33558	271	17	contracts	contract	NOUN
bracis-33558	271	18	here	here	ADV
bracis-33558	271	19	129.74.145.123	129.74.145.123	NUM
bracis-33558	271	20	hesburgh	hesburgh	PROPN
bracis-33558	271	21	library	library	PROPN
bracis-33558	271	22	er	er	INTJ
bracis-33558	271	23	unit	unit	NOUN
bracis-33558	271	24	(	(	PUNCT
bracis-33558	271	25	3005732405	3005732405	NUM
bracis-33558	271	26	)	)	PUNCT
bracis-33558	271	27	northeast	northeast	ADJ
bracis-33558	271	28	research	research	NOUN
bracis-33558	271	29	libraries	library	NOUN
bracis-33558	271	30	(	(	PUNCT
bracis-33558	271	31	nerl	nerl	PROPN
bracis-33558	271	32	)	)	PUNCT
bracis-33558	271	33	(	(	PUNCT
bracis-33558	271	34	8200828607	8200828607	NUM
bracis-33558	271	35	)	)	PUNCT
bracis-33558	271	36	nerl	nerl	VERB
bracis-33558	271	37	ta	ta	X
bracis-33558	271	38	account	account	NOUN
bracis-33558	271	39	(	(	PUNCT
bracis-33558	271	40	3006206169	3006206169	NUM
bracis-33558	271	41	)	)	PUNCT
bracis-33558	271	42	university	university	NOUN
bracis-33558	271	43	of	of	ADP
bracis-33558	271	44	notre	notre	PROPN
bracis-33558	271	45	dame	dame	PROPN
bracis-33558	271	46	hesburgh	hesburgh	PROPN
bracis-33558	271	47	library	library	NOUN
bracis-33558	271	48	(	(	PUNCT
bracis-33558	271	49	3000184373	3000184373	NUM
bracis-33558	271	50	)	)	PUNCT
bracis-33558	272	1	©	©	ADP
bracis-33558	272	2	2025	2025	NUM
bracis-33558	272	3	springer	springer	NOUN
bracis-33558	272	4	nature	nature	NOUN