id	sid	tid	token	lemma	pos
cana-5692	1	1	communications	communication	NOUN
cana-5692	1	2	on	on	ADP
cana-5692	1	3	applied	apply	VERB
cana-5692	1	4	nonlinear	nonlinear	ADJ
cana-5692	1	5	analysis	analysis	NOUN
cana-5692	1	6	issn	issn	NOUN
cana-5692	1	7	:	:	PUNCT
cana-5692	1	8	1074	1074	NUM
cana-5692	1	9	-	-	PUNCT
cana-5692	1	10	133x	133x	NUM
cana-5692	1	11	vol	vol	NOUN
cana-5692	1	12	32	32	NUM
cana-5692	1	13	no	no	NOUN
cana-5692	1	14	.	.	PUNCT
cana-5692	2	1	4s	4s	NUM
cana-5692	2	2	(	(	PUNCT
cana-5692	2	3	2025	2025	NUM
cana-5692	2	4	)	)	PUNCT
cana-5692	2	5	731	731	NUM
cana-5692	2	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-5692	2	7	m	m	NOUN
cana-5692	2	8	path	path	NOUN
cana-5692	2	9	and	and	CCONJ
cana-5692	2	10	cost	cost	NOUN
cana-5692	2	11	based	base	VERB
cana-5692	2	12	gnn	gnn	PROPN
cana-5692	2	13	model	model	NOUN
cana-5692	2	14	for	for	ADP
cana-5692	2	15	social	social	ADJ
cana-5692	2	16	media	medium	NOUN
cana-5692	2	17	network	network	NOUN
cana-5692	2	18	fraud	fraud	NOUN
cana-5692	2	19	detection	detection	NOUN
cana-5692	2	20	1dr	1dr	NOUN
cana-5692	2	21	.	.	PUNCT
cana-5692	3	1	m.	m.	NOUN
cana-5692	3	2	dhurga	dhurga	PROPN
cana-5692	3	3	devi	devi	PROPN
cana-5692	3	4	,	,	PUNCT
cana-5692	3	5	2francis	2francis	NUM
cana-5692	3	6	jaccob	jaccob	PROPN
cana-5692	3	7	rajan	rajan	PROPN
cana-5692	3	8	j	j	PROPN
cana-5692	3	9	,	,	PUNCT
cana-5692	3	10	3jethish	3jethish	PROPN
cana-5692	3	11	kumar	kumar	PROPN
cana-5692	3	12	s	s	PROPN
cana-5692	3	13	,	,	PUNCT
cana-5692	3	14	4naveen	4naveen	NUM
cana-5692	3	15	kumar	kumar	PROPN
cana-5692	3	16	k	k	PROPN
cana-5692	3	17	,	,	PUNCT
cana-5692	3	18	5ramprakash	5ramprakash	NUM
cana-5692	3	19	m	m	NUM
cana-5692	3	20	1professor	1professor	NUM
cana-5692	3	21	,	,	PUNCT
cana-5692	3	22	information	information	NOUN
cana-5692	3	23	technology	technology	NOUN
cana-5692	3	24	,	,	PUNCT
cana-5692	3	25	karpagam	karpagam	PROPN
cana-5692	3	26	college	college	PROPN
cana-5692	3	27	of	of	ADP
cana-5692	3	28	engineering	engineering	PROPN
cana-5692	3	29	,	,	PUNCT
cana-5692	3	30	coimbatore	coimbatore	PROPN
cana-5692	3	31	,	,	PUNCT
cana-5692	3	32	dhurgadevi.m@kce.ac.in	dhurgadevi.m@kce.ac.in	PROPN
cana-5692	3	33	2information	2information	NUM
cana-5692	3	34	technology	technology	NOUN
cana-5692	3	35	,	,	PUNCT
cana-5692	3	36	karpagam	karpagam	PROPN
cana-5692	3	37	college	college	PROPN
cana-5692	3	38	of	of	ADP
cana-5692	3	39	engineering	engineering	PROPN
cana-5692	3	40	,	,	PUNCT
cana-5692	3	41	coimbatore	coimbatore	PROPN
cana-5692	3	42	,	,	PUNCT
cana-5692	3	43	tamil	tamil	PROPN
cana-5692	3	44	nadu	nadu	PROPN
cana-5692	3	45	,	,	PUNCT
cana-5692	3	46	india	india	PROPN
cana-5692	3	47	francisjaccob100@gmail.com	francisjaccob100@gmail.com	PROPN
cana-5692	4	1	3information	3information	NUM
cana-5692	4	2	technology	technology	NOUN
cana-5692	4	3	,	,	PUNCT
cana-5692	4	4	karpagam	karpagam	PROPN
cana-5692	4	5	college	college	PROPN
cana-5692	4	6	of	of	ADP
cana-5692	4	7	engineering	engineering	PROPN
cana-5692	4	8	,	,	PUNCT
cana-5692	4	9	coimbatore	coimbatore	PROPN
cana-5692	4	10	,	,	PUNCT
cana-5692	4	11	tamil	tamil	PROPN
cana-5692	4	12	nadu	nadu	PROPN
cana-5692	4	13	,	,	PUNCT
cana-5692	4	14	india	india	PROPN
cana-5692	4	15	jethishs2003@gmail.com	jethishs2003@gmail.com	PUNCT
cana-5692	5	1	4information	4information	NUM
cana-5692	5	2	technology	technology	NOUN
cana-5692	5	3	,	,	PUNCT
cana-5692	5	4	karpagam	karpagam	PROPN
cana-5692	5	5	college	college	PROPN
cana-5692	5	6	of	of	ADP
cana-5692	5	7	engineering	engineering	PROPN
cana-5692	5	8	,	,	PUNCT
cana-5692	5	9	coimbatore	coimbatore	PROPN
cana-5692	5	10	,	,	PUNCT
cana-5692	5	11	tamilnadu	tamilnadu	NOUN
cana-5692	5	12	,	,	PUNCT
cana-5692	5	13	knknaveen28@gmail.com	knknaveen28@gmail.com	X
cana-5692	5	14	5information	5information	NUM
cana-5692	5	15	technology	technology	NOUN
cana-5692	5	16	,	,	PUNCT
cana-5692	5	17	karpagam	karpagam	PROPN
cana-5692	5	18	college	college	PROPN
cana-5692	5	19	of	of	ADP
cana-5692	5	20	engineering	engineering	PROPN
cana-5692	5	21	,	,	PUNCT
cana-5692	5	22	coimbatore	coimbatore	PROPN
cana-5692	5	23	,	,	PUNCT
cana-5692	5	24	tamil	tamil	PROPN
cana-5692	5	25	nadu	nadu	PROPN
cana-5692	5	26	,	,	PUNCT
cana-5692	5	27	india	india	PROPN
cana-5692	5	28	mlramprakash2004@gmail.com	mlramprakash2004@gmail.com	PROPN
cana-5692	5	29	article	article	NOUN
cana-5692	5	30	history	history	NOUN
cana-5692	5	31	:	:	PUNCT
cana-5692	5	32	received	receive	VERB
cana-5692	5	33	:	:	PUNCT
cana-5692	5	34	12	12	NUM
cana-5692	5	35	-	-	SYM
cana-5692	5	36	01	01	NUM
cana-5692	5	37	-	-	PUNCT
cana-5692	5	38	2025	2025	NUM
cana-5692	5	39	revised	revise	VERB
cana-5692	5	40	:	:	PUNCT
cana-5692	5	41	15	15	NUM
cana-5692	5	42	-	-	NUM
cana-5692	5	43	02	02	NUM
cana-5692	5	44	-	-	PUNCT
cana-5692	5	45	2025	2025	NUM
cana-5692	5	46	accepted	accept	VERB
cana-5692	5	47	:	:	PUNCT
cana-5692	5	48	01	01	NUM
cana-5692	5	49	-	-	SYM
cana-5692	5	50	03	03	NUM
cana-5692	5	51	-	-	PUNCT
cana-5692	5	52	2025	2025	NUM
cana-5692	5	53	abstract	abstract	NOUN
cana-5692	5	54	.	.	PUNCT
cana-5692	6	1	detecting	detect	VERB
cana-5692	6	2	fraud	fraud	NOUN
cana-5692	6	3	in	in	ADP
cana-5692	6	4	social	social	ADJ
cana-5692	6	5	media	medium	NOUN
cana-5692	6	6	networks	network	NOUN
cana-5692	6	7	is	be	AUX
cana-5692	6	8	a	a	DET
cana-5692	6	9	growing	grow	VERB
cana-5692	6	10	challenge	challenge	NOUN
cana-5692	6	11	due	due	ADP
cana-5692	6	12	to	to	ADP
cana-5692	6	13	the	the	DET
cana-5692	6	14	evolving	evolve	VERB
cana-5692	6	15	nature	nature	NOUN
cana-5692	6	16	of	of	ADP
cana-5692	6	17	fraudulent	fraudulent	ADJ
cana-5692	6	18	activities	activity	NOUN
cana-5692	6	19	.	.	PUNCT
cana-5692	7	1	traditional	traditional	ADJ
cana-5692	7	2	methods	method	NOUN
cana-5692	7	3	often	often	ADV
cana-5692	7	4	fail	fail	VERB
cana-5692	7	5	to	to	PART
cana-5692	7	6	capture	capture	VERB
cana-5692	7	7	the	the	DET
cana-5692	7	8	intricate	intricate	ADJ
cana-5692	7	9	relationships	relationship	NOUN
cana-5692	7	10	among	among	ADP
cana-5692	7	11	users	user	NOUN
cana-5692	7	12	,	,	PUNCT
cana-5692	7	13	making	make	VERB
cana-5692	7	14	fraud	fraud	NOUN
cana-5692	7	15	detection	detection	NOUN
cana-5692	7	16	less	less	ADV
cana-5692	7	17	effective	effective	ADJ
cana-5692	7	18	.	.	PUNCT
cana-5692	8	1	this	this	DET
cana-5692	8	2	study	study	NOUN
cana-5692	8	3	introduces	introduce	VERB
cana-5692	8	4	a	a	DET
cana-5692	8	5	graph	graph	NOUN
cana-5692	8	6	neural	neural	ADJ
cana-5692	8	7	network	network	NOUN
cana-5692	8	8	(	(	PUNCT
cana-5692	8	9	gnn)-based	gnn)-base	VERB
cana-5692	8	10	model	model	NOUN
cana-5692	8	11	to	to	PART
cana-5692	8	12	identify	identify	VERB
cana-5692	8	13	fraudulent	fraudulent	ADJ
cana-5692	8	14	activities	activity	NOUN
cana-5692	8	15	by	by	ADP
cana-5692	8	16	leveraging	leverage	VERB
cana-5692	8	17	the	the	DET
cana-5692	8	18	structural	structural	ADJ
cana-5692	8	19	properties	property	NOUN
cana-5692	8	20	of	of	ADP
cana-5692	8	21	social	social	ADJ
cana-5692	8	22	media	medium	NOUN
cana-5692	8	23	interactions	interaction	NOUN
cana-5692	8	24	.	.	PUNCT
cana-5692	9	1	in	in	ADP
cana-5692	9	2	this	this	DET
cana-5692	9	3	approach	approach	NOUN
cana-5692	9	4	,	,	PUNCT
cana-5692	9	5	users	user	NOUN
cana-5692	9	6	and	and	CCONJ
cana-5692	9	7	their	their	PRON
cana-5692	9	8	relationships	relationship	NOUN
cana-5692	9	9	are	be	AUX
cana-5692	9	10	represented	represent	VERB
cana-5692	9	11	as	as	ADP
cana-5692	9	12	graph	graph	NOUN
cana-5692	9	13	nodes	node	NOUN
cana-5692	9	14	and	and	CCONJ
cana-5692	9	15	edges	edge	NOUN
cana-5692	9	16	,	,	PUNCT
cana-5692	9	17	allowing	allow	VERB
cana-5692	9	18	the	the	DET
cana-5692	9	19	model	model	NOUN
cana-5692	9	20	to	to	PART
cana-5692	9	21	learn	learn	VERB
cana-5692	9	22	hidden	hide	VERB
cana-5692	9	23	patterns	pattern	NOUN
cana-5692	9	24	and	and	CCONJ
cana-5692	9	25	dependencies	dependency	NOUN
cana-5692	9	26	.	.	PUNCT
cana-5692	10	1	by	by	ADP
cana-5692	10	2	utilizing	utilize	VERB
cana-5692	10	3	gnns	gnn	NOUN
cana-5692	10	4	,	,	PUNCT
cana-5692	10	5	the	the	DET
cana-5692	10	6	system	system	NOUN
cana-5692	10	7	effectively	effectively	ADV
cana-5692	10	8	distinguishes	distinguish	VERB
cana-5692	10	9	between	between	ADP
cana-5692	10	10	genuine	genuine	ADJ
cana-5692	10	11	and	and	CCONJ
cana-5692	10	12	fraudulent	fraudulent	ADJ
cana-5692	10	13	behaviours	behaviour	NOUN
cana-5692	10	14	.	.	PUNCT
cana-5692	11	1	the	the	DET
cana-5692	11	2	model	model	NOUN
cana-5692	11	3	is	be	AUX
cana-5692	11	4	trained	train	VERB
cana-5692	11	5	and	and	CCONJ
cana-5692	11	6	tested	test	VERB
cana-5692	11	7	on	on	ADP
cana-5692	11	8	real	real	ADJ
cana-5692	11	9	-	-	PUNCT
cana-5692	11	10	world	world	NOUN
cana-5692	11	11	datasets	dataset	NOUN
cana-5692	11	12	,	,	PUNCT
cana-5692	11	13	demonstrating	demonstrate	VERB
cana-5692	11	14	superior	superior	ADJ
cana-5692	11	15	performance	performance	NOUN
cana-5692	11	16	in	in	ADP
cana-5692	11	17	terms	term	NOUN
cana-5692	11	18	of	of	ADP
cana-5692	11	19	accuracy	accuracy	NOUN
cana-5692	11	20	,	,	PUNCT
cana-5692	11	21	precision	precision	NOUN
cana-5692	11	22	,	,	PUNCT
cana-5692	11	23	recall	recall	NOUN
cana-5692	11	24	,	,	PUNCT
cana-5692	11	25	and	and	CCONJ
cana-5692	11	26	f1	f1	NOUN
cana-5692	11	27	-	-	PUNCT
cana-5692	11	28	score	score	NOUN
cana-5692	11	29	compared	compare	VERB
cana-5692	11	30	to	to	ADP
cana-5692	11	31	conventional	conventional	ADJ
cana-5692	11	32	machine	machine	NOUN
cana-5692	11	33	learning	learn	VERB
cana-5692	11	34	techniques	technique	NOUN
cana-5692	11	35	.	.	PUNCT
cana-5692	12	1	the	the	DET
cana-5692	12	2	findings	finding	NOUN
cana-5692	12	3	suggest	suggest	VERB
cana-5692	12	4	that	that	SCONJ
cana-5692	12	5	gnns	gnns	NOUN
cana-5692	12	6	offer	offer	VERB
cana-5692	12	7	a	a	DET
cana-5692	12	8	powerful	powerful	ADJ
cana-5692	12	9	and	and	CCONJ
cana-5692	12	10	scalable	scalable	ADJ
cana-5692	12	11	solution	solution	NOUN
cana-5692	12	12	for	for	ADP
cana-5692	12	13	fraud	fraud	NOUN
cana-5692	12	14	detection	detection	NOUN
cana-5692	12	15	in	in	ADP
cana-5692	12	16	social	social	ADJ
cana-5692	12	17	media	medium	NOUN
cana-5692	12	18	networks	network	NOUN
cana-5692	12	19	,	,	PUNCT
cana-5692	12	20	enhancing	enhance	VERB
cana-5692	12	21	security	security	NOUN
cana-5692	12	22	and	and	CCONJ
cana-5692	12	23	reliability	reliability	NOUN
cana-5692	12	24	keywords	keyword	NOUN
cana-5692	12	25	–	–	PUNCT
cana-5692	12	26	social	social	ADJ
cana-5692	12	27	media	medium	NOUN
cana-5692	12	28	,	,	PUNCT
cana-5692	12	29	f1	f1	NOUN
cana-5692	12	30	score	score	NOUN
cana-5692	12	31	,	,	PUNCT
cana-5692	12	32	precision	precision	NOUN
cana-5692	12	33	,	,	PUNCT
cana-5692	12	34	recall	recall	VERB
cana-5692	12	35	i.introduction	i.introduction	NOUN
cana-5692	12	36	with	with	ADP
cana-5692	12	37	the	the	DET
cana-5692	12	38	rapid	rapid	ADJ
cana-5692	12	39	expansion	expansion	NOUN
cana-5692	12	40	of	of	ADP
cana-5692	12	41	social	social	ADJ
cana-5692	12	42	media	medium	NOUN
cana-5692	12	43	networks	network	NOUN
cana-5692	12	44	,	,	PUNCT
cana-5692	12	45	fraud	fraud	NOUN
cana-5692	12	46	and	and	CCONJ
cana-5692	12	47	malicious	malicious	ADJ
cana-5692	12	48	activities	activity	NOUN
cana-5692	12	49	have	have	AUX
cana-5692	12	50	become	become	VERB
cana-5692	12	51	a	a	DET
cana-5692	12	52	growing	grow	VERB
cana-5692	12	53	concern	concern	NOUN
cana-5692	12	54	.	.	PUNCT
cana-5692	13	1	social	social	ADJ
cana-5692	13	2	platforms	platform	NOUN
cana-5692	13	3	are	be	AUX
cana-5692	13	4	increasingly	increasingly	ADV
cana-5692	13	5	being	be	AUX
cana-5692	13	6	misused	misuse	VERB
cana-5692	13	7	for	for	ADP
cana-5692	13	8	financial	financial	ADJ
cana-5692	13	9	scams	scam	NOUN
cana-5692	13	10	,	,	PUNCT
cana-5692	13	11	fake	fake	ADJ
cana-5692	13	12	reviews	review	NOUN
cana-5692	13	13	,	,	PUNCT
cana-5692	13	14	identity	identity	NOUN
cana-5692	13	15	theft	theft	NOUN
cana-5692	13	16	,	,	PUNCT
cana-5692	13	17	and	and	CCONJ
cana-5692	13	18	misinformation	misinformation	NOUN
cana-5692	13	19	campaigns	campaign	NOUN
cana-5692	13	20	.	.	PUNCT
cana-5692	14	1	detecting	detect	VERB
cana-5692	14	2	such	such	ADJ
cana-5692	14	3	fraudulent	fraudulent	ADJ
cana-5692	14	4	activities	activity	NOUN
cana-5692	14	5	is	be	AUX
cana-5692	14	6	challenging	challenge	VERB
cana-5692	14	7	due	due	ADJ
cana-5692	14	8	to	to	ADP
cana-5692	14	9	the	the	DET
cana-5692	14	10	dynamic	dynamic	ADJ
cana-5692	14	11	nature	nature	NOUN
cana-5692	14	12	of	of	ADP
cana-5692	14	13	user	user	NOUN
cana-5692	14	14	interactions	interaction	NOUN
cana-5692	14	15	and	and	CCONJ
cana-5692	14	16	the	the	DET
cana-5692	14	17	ability	ability	NOUN
cana-5692	14	18	of	of	ADP
cana-5692	14	19	fraudsters	fraudster	NOUN
cana-5692	14	20	to	to	PART
cana-5692	14	21	adapt	adapt	VERB
cana-5692	14	22	their	their	PRON
cana-5692	14	23	strategies	strategy	NOUN
cana-5692	14	24	.	.	PUNCT
cana-5692	15	1	traditional	traditional	ADJ
cana-5692	15	2	fraud	fraud	NOUN
cana-5692	15	3	detection	detection	NOUN
cana-5692	15	4	methods	method	NOUN
cana-5692	15	5	,	,	PUNCT
cana-5692	15	6	such	such	ADJ
cana-5692	15	7	as	as	ADP
cana-5692	15	8	rule	rule	NOUN
cana-5692	15	9	-	-	PUNCT
cana-5692	15	10	based	base	VERB
cana-5692	15	11	approaches	approach	NOUN
cana-5692	15	12	and	and	CCONJ
cana-5692	15	13	machine	machine	NOUN
cana-5692	15	14	learning	learning	NOUN
cana-5692	15	15	models	model	NOUN
cana-5692	15	16	,	,	PUNCT
cana-5692	15	17	often	often	ADV
cana-5692	15	18	struggle	struggle	VERB
cana-5692	15	19	to	to	PART
cana-5692	15	20	capture	capture	VERB
cana-5692	15	21	complex	complex	ADJ
cana-5692	15	22	relationships	relationship	NOUN
cana-5692	15	23	between	between	ADP
cana-5692	15	24	users	user	NOUN
cana-5692	15	25	,	,	PUNCT
cana-5692	15	26	limiting	limit	VERB
cana-5692	15	27	their	their	PRON
cana-5692	15	28	effectiveness	effectiveness	NOUN
cana-5692	15	29	graph	graph	NOUN
cana-5692	15	30	-	-	PUNCT
cana-5692	15	31	based	base	VERB
cana-5692	15	32	approaches	approach	NOUN
cana-5692	15	33	have	have	AUX
cana-5692	15	34	emerged	emerge	VERB
cana-5692	15	35	as	as	ADP
cana-5692	15	36	a	a	DET
cana-5692	15	37	powerful	powerful	ADJ
cana-5692	15	38	solution	solution	NOUN
cana-5692	15	39	for	for	ADP
cana-5692	15	40	analyzing	analyze	VERB
cana-5692	15	41	social	social	ADJ
cana-5692	15	42	media	medium	NOUN
cana-5692	15	43	networks	network	NOUN
cana-5692	15	44	.	.	PUNCT
cana-5692	16	1	fraudulent	fraudulent	ADJ
cana-5692	16	2	users	user	NOUN
cana-5692	16	3	tend	tend	VERB
cana-5692	16	4	to	to	PART
cana-5692	16	5	exhibit	exhibit	VERB
cana-5692	16	6	unique	unique	ADJ
cana-5692	16	7	behavioral	behavioral	ADJ
cana-5692	16	8	patterns	pattern	NOUN
cana-5692	16	9	that	that	PRON
cana-5692	16	10	can	can	AUX
cana-5692	16	11	be	be	AUX
cana-5692	16	12	effectively	effectively	ADV
cana-5692	16	13	represented	represent	VERB
cana-5692	16	14	as	as	ADP
cana-5692	16	15	graphs	graph	NOUN
cana-5692	16	16	,	,	PUNCT
cana-5692	16	17	where	where	SCONJ
cana-5692	16	18	users	user	NOUN
cana-5692	16	19	are	be	AUX
cana-5692	16	20	nodes	node	NOUN
cana-5692	16	21	and	and	CCONJ
cana-5692	16	22	their	their	PRON
cana-5692	16	23	interactions	interaction	NOUN
cana-5692	16	24	form	form	NOUN
cana-5692	16	25	edges	edge	NOUN
cana-5692	16	26	.	.	PUNCT
cana-5692	17	1	graph	graph	NOUN
cana-5692	17	2	neural	neural	ADJ
cana-5692	17	3	networks	network	NOUN
cana-5692	17	4	(	(	PUNCT
cana-5692	17	5	gnns	gnns	NOUN
cana-5692	17	6	)	)	PUNCT
cana-5692	17	7	utilize	utilize	VERB
cana-5692	17	8	these	these	DET
cana-5692	17	9	structures	structure	NOUN
cana-5692	17	10	to	to	PART
cana-5692	17	11	learn	learn	VERB
cana-5692	17	12	meaningful	meaningful	ADJ
cana-5692	17	13	representations	representation	NOUN
cana-5692	17	14	,	,	PUNCT
cana-5692	17	15	allowing	allow	VERB
cana-5692	17	16	for	for	ADP
cana-5692	17	17	better	well	ADJ
cana-5692	17	18	fraud	fraud	NOUN
cana-5692	17	19	detection	detection	NOUN
cana-5692	17	20	.	.	PUNCT
cana-5692	18	1	unlike	unlike	ADP
cana-5692	18	2	conventional	conventional	ADJ
cana-5692	18	3	machine	machine	NOUN
cana-5692	18	4	learning	learning	NOUN
cana-5692	18	5	models	model	NOUN
cana-5692	18	6	that	that	PRON
cana-5692	18	7	rely	rely	VERB
cana-5692	18	8	only	only	ADV
cana-5692	18	9	on	on	ADP
cana-5692	18	10	individual	individual	ADJ
cana-5692	18	11	user	user	NOUN
cana-5692	18	12	attributes	attribute	NOUN
cana-5692	18	13	,	,	PUNCT
cana-5692	18	14	gnns	gnn	NOUN
cana-5692	18	15	consider	consider	VERB
cana-5692	18	16	both	both	DET
cana-5692	18	17	user	user	NOUN
cana-5692	18	18	features	feature	NOUN
cana-5692	18	19	and	and	CCONJ
cana-5692	18	20	their	their	PRON
cana-5692	18	21	relationships	relationship	NOUN
cana-5692	18	22	within	within	ADP
cana-5692	18	23	the	the	DET
cana-5692	18	24	network	network	NOUN
cana-5692	18	25	,	,	PUNCT
cana-5692	18	26	leading	lead	VERB
cana-5692	18	27	to	to	ADP
cana-5692	18	28	improved	improve	VERB
cana-5692	18	29	detection	detection	NOUN
cana-5692	18	30	accuracy	accuracy	NOUN
cana-5692	18	31	.	.	PUNCT
cana-5692	19	1	this	this	DET
cana-5692	19	2	study	study	NOUN
cana-5692	19	3	focuses	focus	VERB
cana-5692	19	4	on	on	ADP
cana-5692	19	5	leveraging	leverage	VERB
cana-5692	19	6	gnn	gnn	NOUN
cana-5692	19	7	-	-	PUNCT
cana-5692	19	8	based	base	VERB
cana-5692	19	9	models	model	NOUN
cana-5692	19	10	to	to	PART
cana-5692	19	11	identify	identify	VERB
cana-5692	19	12	fraudulent	fraudulent	ADJ
cana-5692	19	13	activities	activity	NOUN
cana-5692	19	14	in	in	ADP
cana-5692	19	15	social	social	ADJ
cana-5692	19	16	media	medium	NOUN
cana-5692	19	17	platforms	platform	NOUN
cana-5692	19	18	.	.	PUNCT
cana-5692	20	1	by	by	ADP
cana-5692	20	2	modeling	model	VERB
cana-5692	20	3	user	user	NOUN
cana-5692	20	4	interactions	interaction	NOUN
cana-5692	20	5	as	as	ADP
cana-5692	20	6	graphs	graph	NOUN
cana-5692	20	7	,	,	PUNCT
cana-5692	20	8	the	the	DET
cana-5692	20	9	system	system	NOUN
cana-5692	20	10	can	can	AUX
cana-5692	20	11	recognize	recognize	VERB
cana-5692	20	12	suspicious	suspicious	ADJ
cana-5692	20	13	patterns	pattern	NOUN
cana-5692	20	14	and	and	CCONJ
cana-5692	20	15	distinguish	distinguish	VERB
cana-5692	20	16	between	between	ADP
cana-5692	20	17	genuine	genuine	ADJ
cana-5692	20	18	and	and	CCONJ
cana-5692	20	19	fraudulent	fraudulent	ADJ
cana-5692	20	20	users	user	NOUN
cana-5692	20	21	.	.	PUNCT
cana-5692	21	1	the	the	DET
cana-5692	21	2	approach	approach	NOUN
cana-5692	21	3	is	be	AUX
cana-5692	21	4	tested	test	VERB
cana-5692	21	5	on	on	ADP
cana-5692	21	6	real	real	ADJ
cana-5692	21	7	-	-	PUNCT
cana-5692	21	8	world	world	NOUN
cana-5692	21	9	datasets	dataset	NOUN
cana-5692	21	10	to	to	PART
cana-5692	21	11	evaluate	evaluate	VERB
cana-5692	21	12	its	its	PRON
cana-5692	21	13	performance	performance	NOUN
cana-5692	21	14	against	against	ADP
cana-5692	21	15	traditional	traditional	ADJ
cana-5692	21	16	machine	machine	NOUN
cana-5692	21	17	learning	learn	VERB
cana-5692	21	18	techniques	technique	NOUN
cana-5692	21	19	.	.	PUNCT
cana-5692	22	1	the	the	DET
cana-5692	22	2	results	result	NOUN
cana-5692	22	3	highlight	highlight	VERB
cana-5692	22	4	the	the	DET
cana-5692	22	5	advantages	advantage	NOUN
cana-5692	22	6	of	of	ADP
cana-5692	22	7	gnns	gnns	NOUN
cana-5692	22	8	in	in	ADP
cana-5692	22	9	handling	handle	VERB
cana-5692	22	10	large	large	ADJ
cana-5692	22	11	-	-	PUNCT
cana-5692	22	12	scale	scale	NOUN
cana-5692	22	13	social	social	ADJ
cana-5692	22	14	network	network	NOUN
cana-5692	22	15	data	datum	NOUN
cana-5692	22	16	while	while	SCONJ
cana-5692	22	17	improving	improve	VERB
cana-5692	22	18	fraud	fraud	NOUN
cana-5692	22	19	detection	detection	NOUN
cana-5692	22	20	accuracy	accuracy	NOUN
cana-5692	22	21	and	and	CCONJ
cana-5692	22	22	efficiency	efficiency	NOUN
cana-5692	22	23	.	.	PUNCT
cana-5692	23	1	by	by	ADP
cana-5692	23	2	integrating	integrate	VERB
cana-5692	23	3	advanced	advanced	ADJ
cana-5692	23	4	deep	deep	ADJ
cana-5692	23	5	learning	learning	NOUN
cana-5692	23	6	techniques	technique	NOUN
cana-5692	23	7	with	with	ADP
cana-5692	23	8	graph	graph	NOUN
cana-5692	23	9	-	-	PUNCT
cana-5692	23	10	based	base	VERB
cana-5692	23	11	structures	structure	NOUN
cana-5692	23	12	,	,	PUNCT
cana-5692	23	13	this	this	DET
cana-5692	23	14	research	research	NOUN
cana-5692	23	15	contributes	contribute	VERB
cana-5692	23	16	to	to	ADP
cana-5692	23	17	the	the	DET
cana-5692	23	18	development	development	NOUN
cana-5692	23	19	of	of	ADP
cana-5692	23	20	more	more	ADV
cana-5692	23	21	effective	effective	ADJ
cana-5692	23	22	fraud	fraud	NOUN
cana-5692	23	23	detection	detection	NOUN
cana-5692	23	24	mechanisms	mechanism	NOUN
cana-5692	23	25	in	in	ADP
cana-5692	23	26	social	social	ADJ
cana-5692	23	27	media	medium	NOUN
cana-5692	23	28	.	.	PUNCT
cana-5692	24	1	the	the	DET
cana-5692	24	2	findings	finding	NOUN
cana-5692	24	3	aim	aim	VERB
cana-5692	24	4	to	to	PART
cana-5692	24	5	enhance	enhance	VERB
cana-5692	24	6	security	security	NOUN
cana-5692	24	7	measures	measure	NOUN
cana-5692	24	8	,	,	PUNCT
cana-5692	24	9	reduce	reduce	VERB
cana-5692	24	10	fraudulent	fraudulent	ADJ
cana-5692	24	11	activities	activity	NOUN
cana-5692	24	12	,	,	PUNCT
cana-5692	24	13	and	and	CCONJ
cana-5692	24	14	ensure	ensure	VERB
cana-5692	24	15	a	a	DET
cana-5692	24	16	safer	safe	ADJ
cana-5692	24	17	online	online	ADJ
cana-5692	24	18	environment	environment	NOUN
cana-5692	24	19	for	for	ADP
cana-5692	24	20	users	user	NOUN
cana-5692	24	21	the	the	DET
cana-5692	24	22	widespread	widespread	ADJ
cana-5692	24	23	adoption	adoption	NOUN
cana-5692	24	24	of	of	ADP
cana-5692	24	25	social	social	ADJ
cana-5692	24	26	media	medium	NOUN
cana-5692	24	27	has	have	AUX
cana-5692	24	28	transformed	transform	VERB
cana-5692	24	29	digital	digital	ADJ
cana-5692	24	30	communication	communication	NOUN
cana-5692	24	31	,	,	PUNCT
cana-5692	24	32	enabling	enable	VERB
cana-5692	24	33	seamless	seamless	ADJ
cana-5692	24	34	information	information	NOUN
cana-5692	24	35	exchange	exchange	NOUN
cana-5692	24	36	,	,	PUNCT
cana-5692	24	37	content	content	NOUN
cana-5692	24	38	sharing	sharing	NOUN
cana-5692	24	39	,	,	PUNCT
cana-5692	24	40	and	and	CCONJ
cana-5692	24	41	online	online	ADJ
cana-5692	24	42	interactions	interaction	NOUN
cana-5692	24	43	.	.	PUNCT
cana-5692	25	1	however	however	ADV
cana-5692	25	2	,	,	PUNCT
cana-5692	25	3	the	the	DET
cana-5692	25	4	rapid	rapid	ADJ
cana-5692	25	5	expansion	expansion	NOUN
cana-5692	25	6	of	of	ADP
cana-5692	25	7	these	these	DET
cana-5692	25	8	platforms	platform	NOUN
cana-5692	25	9	has	have	AUX
cana-5692	25	10	also	also	ADV
cana-5692	25	11	led	lead	VERB
cana-5692	25	12	to	to	ADP
cana-5692	25	13	a	a	DET
cana-5692	25	14	surge	surge	NOUN
cana-5692	25	15	communications	communication	NOUN
cana-5692	25	16	on	on	ADP
cana-5692	25	17	applied	apply	VERB
cana-5692	25	18	nonlinear	nonlinear	ADJ
cana-5692	25	19	analysis	analysis	NOUN
cana-5692	25	20	issn	issn	NOUN
cana-5692	25	21	:	:	PUNCT
cana-5692	25	22	1074	1074	NUM
cana-5692	25	23	-	-	PUNCT
cana-5692	25	24	133x	133x	NUM
cana-5692	25	25	vol	vol	NOUN
cana-5692	25	26	32	32	NUM
cana-5692	25	27	no	no	NOUN
cana-5692	25	28	.	.	PUNCT
cana-5692	26	1	4s	4s	NUM
cana-5692	26	2	(	(	PUNCT
cana-5692	26	3	2025	2025	NUM
cana-5692	26	4	)	)	PUNCT
cana-5692	26	5	732	732	NUM
cana-5692	26	6	https://internationalpubls.co	https://internationalpubls.co	X
cana-5692	26	7	m	m	NOUN
cana-5692	26	8	in	in	ADP
cana-5692	26	9	fraudulent	fraudulent	ADJ
cana-5692	26	10	activities	activity	NOUN
cana-5692	26	11	,	,	PUNCT
cana-5692	26	12	including	include	VERB
cana-5692	26	13	fake	fake	ADJ
cana-5692	26	14	accounts	account	NOUN
cana-5692	26	15	,	,	PUNCT
cana-5692	26	16	misinformation	misinformation	NOUN
cana-5692	26	17	campaigns	campaign	NOUN
cana-5692	26	18	,	,	PUNCT
cana-5692	26	19	phishing	phishe	VERB
cana-5692	26	20	attempts	attempt	NOUN
cana-5692	26	21	,	,	PUNCT
cana-5692	26	22	and	and	CCONJ
cana-5692	26	23	automated	automate	VERB
cana-5692	26	24	bot	bot	NOUN
cana-5692	26	25	-	-	PUNCT
cana-5692	26	26	driven	drive	VERB
cana-5692	26	27	engagements	engagement	NOUN
cana-5692	26	28	.	.	PUNCT
cana-5692	27	1	fraudsters	fraudster	NOUN
cana-5692	27	2	exploit	exploit	VERB
cana-5692	27	3	social	social	ADJ
cana-5692	27	4	network	network	NOUN
cana-5692	27	5	structures	structure	NOUN
cana-5692	27	6	to	to	PART
cana-5692	27	7	manipulate	manipulate	VERB
cana-5692	27	8	influence	influence	NOUN
cana-5692	27	9	metrics	metric	NOUN
cana-5692	27	10	,	,	PUNCT
cana-5692	27	11	spread	spread	VERB
cana-5692	27	12	deceptive	deceptive	ADJ
cana-5692	27	13	content	content	NOUN
cana-5692	27	14	,	,	PUNCT
cana-5692	27	15	and	and	CCONJ
cana-5692	27	16	engage	engage	VERB
cana-5692	27	17	in	in	ADP
cana-5692	27	18	large	large	ADJ
cana-5692	27	19	-	-	PUNCT
cana-5692	27	20	scale	scale	NOUN
cana-5692	27	21	fraudulent	fraudulent	ADJ
cana-5692	27	22	activities	activity	NOUN
cana-5692	27	23	,	,	PUNCT
cana-5692	27	24	posing	pose	VERB
cana-5692	27	25	significant	significant	ADJ
cana-5692	27	26	challenges	challenge	NOUN
cana-5692	27	27	to	to	ADP
cana-5692	27	28	the	the	DET
cana-5692	27	29	integrity	integrity	NOUN
cana-5692	27	30	of	of	ADP
cana-5692	27	31	online	online	ADJ
cana-5692	27	32	ecosystems	ecosystem	NOUN
cana-5692	27	33	.	.	PUNCT
cana-5692	28	1	traditional	traditional	ADJ
cana-5692	28	2	fraud	fraud	NOUN
cana-5692	28	3	detection	detection	NOUN
cana-5692	28	4	techniques	technique	NOUN
cana-5692	28	5	primarily	primarily	ADV
cana-5692	28	6	rely	rely	VERB
cana-5692	28	7	on	on	ADP
cana-5692	28	8	user	user	NOUN
cana-5692	28	9	activity	activity	NOUN
cana-5692	28	10	patterns	pattern	NOUN
cana-5692	28	11	,	,	PUNCT
cana-5692	28	12	content	content	NOUN
cana-5692	28	13	analysis	analysis	NOUN
cana-5692	28	14	,	,	PUNCT
cana-5692	28	15	and	and	CCONJ
cana-5692	28	16	rule	rule	NOUN
cana-5692	28	17	-	-	PUNCT
cana-5692	28	18	based	base	VERB
cana-5692	28	19	approaches	approach	NOUN
cana-5692	28	20	.	.	PUNCT
cana-5692	29	1	while	while	SCONJ
cana-5692	29	2	these	these	DET
cana-5692	29	3	methods	method	NOUN
cana-5692	29	4	can	can	AUX
cana-5692	29	5	identify	identify	VERB
cana-5692	29	6	isolated	isolated	ADJ
cana-5692	29	7	instances	instance	NOUN
cana-5692	29	8	of	of	ADP
cana-5692	29	9	fraud	fraud	NOUN
cana-5692	29	10	,	,	PUNCT
cana-5692	29	11	they	they	PRON
cana-5692	29	12	often	often	ADV
cana-5692	29	13	fail	fail	VERB
cana-5692	29	14	to	to	PART
cana-5692	29	15	capture	capture	VERB
cana-5692	29	16	the	the	DET
cana-5692	29	17	complex	complex	ADJ
cana-5692	29	18	relational	relational	ADJ
cana-5692	29	19	dependencies	dependency	NOUN
cana-5692	29	20	and	and	CCONJ
cana-5692	29	21	coordinated	coordinated	ADJ
cana-5692	29	22	behaviors	behavior	NOUN
cana-5692	29	23	within	within	ADP
cana-5692	29	24	a	a	DET
cana-5692	29	25	social	social	ADJ
cana-5692	29	26	network	network	NOUN
cana-5692	29	27	.	.	PUNCT
cana-5692	30	1	fraudulent	fraudulent	ADJ
cana-5692	30	2	entities	entity	NOUN
cana-5692	30	3	tend	tend	VERB
cana-5692	30	4	to	to	PART
cana-5692	30	5	operate	operate	VERB
cana-5692	30	6	in	in	ADP
cana-5692	30	7	groups	group	NOUN
cana-5692	30	8	,	,	PUNCT
cana-5692	30	9	interacting	interact	VERB
cana-5692	30	10	in	in	ADP
cana-5692	30	11	ways	way	NOUN
cana-5692	30	12	that	that	PRON
cana-5692	30	13	can	can	AUX
cana-5692	30	14	be	be	AUX
cana-5692	30	15	revealed	reveal	VERB
cana-5692	30	16	through	through	ADP
cana-5692	30	17	structural	structural	ADJ
cana-5692	30	18	analysis	analysis	NOUN
cana-5692	30	19	of	of	ADP
cana-5692	30	20	the	the	DET
cana-5692	30	21	network	network	NOUN
cana-5692	30	22	.	.	PUNCT
cana-5692	31	1	this	this	PRON
cana-5692	31	2	has	have	AUX
cana-5692	31	3	led	lead	VERB
cana-5692	31	4	to	to	ADP
cana-5692	31	5	the	the	DET
cana-5692	31	6	rise	rise	NOUN
cana-5692	31	7	of	of	ADP
cana-5692	31	8	graph	graph	NOUN
cana-5692	31	9	-	-	PUNCT
cana-5692	31	10	based	base	VERB
cana-5692	31	11	fraud	fraud	NOUN
cana-5692	31	12	detection	detection	NOUN
cana-5692	31	13	,	,	PUNCT
cana-5692	31	14	where	where	SCONJ
cana-5692	31	15	social	social	ADJ
cana-5692	31	16	media	medium	NOUN
cana-5692	31	17	platforms	platform	NOUN
cana-5692	31	18	are	be	AUX
cana-5692	31	19	modeled	model	VERB
cana-5692	31	20	as	as	ADP
cana-5692	31	21	graphs	graph	NOUN
cana-5692	31	22	,	,	PUNCT
cana-5692	31	23	with	with	ADP
cana-5692	31	24	users	user	NOUN
cana-5692	31	25	as	as	ADP
cana-5692	31	26	nodes	node	NOUN
cana-5692	31	27	and	and	CCONJ
cana-5692	31	28	their	their	PRON
cana-5692	31	29	interactions	interaction	NOUN
cana-5692	31	30	forming	form	VERB
cana-5692	31	31	edges	edge	NOUN
cana-5692	31	32	.	.	PUNCT
cana-5692	32	1	in	in	ADP
cana-5692	32	2	this	this	DET
cana-5692	32	3	paper	paper	NOUN
cana-5692	32	4	,	,	PUNCT
cana-5692	32	5	we	we	PRON
cana-5692	32	6	present	present	VERB
cana-5692	32	7	a	a	DET
cana-5692	32	8	path	path	NOUN
cana-5692	32	9	-	-	PUNCT
cana-5692	32	10	based	base	VERB
cana-5692	32	11	fraud	fraud	NOUN
cana-5692	32	12	detection	detection	NOUN
cana-5692	32	13	framework	framework	NOUN
cana-5692	32	14	that	that	PRON
cana-5692	32	15	leverages	leverage	VERB
cana-5692	32	16	graph	graph	NOUN
cana-5692	32	17	analysis	analysis	NOUN
cana-5692	32	18	and	and	CCONJ
cana-5692	32	19	machine	machine	NOUN
cana-5692	32	20	learning	learn	VERB
cana-5692	32	21	to	to	PART
cana-5692	32	22	detect	detect	VERB
cana-5692	32	23	fraudulent	fraudulent	ADJ
cana-5692	32	24	behavior	behavior	NOUN
cana-5692	32	25	in	in	ADP
cana-5692	32	26	social	social	ADJ
cana-5692	32	27	networks	network	NOUN
cana-5692	32	28	.	.	PUNCT
cana-5692	33	1	our	our	PRON
cana-5692	33	2	approach	approach	NOUN
cana-5692	33	3	focuses	focus	VERB
cana-5692	33	4	on	on	ADP
cana-5692	33	5	analyzing	analyze	VERB
cana-5692	33	6	interaction	interaction	NOUN
cana-5692	33	7	paths	path	NOUN
cana-5692	33	8	,	,	PUNCT
cana-5692	33	9	network	network	NOUN
cana-5692	33	10	connectivity	connectivity	NOUN
cana-5692	33	11	patterns	pattern	NOUN
cana-5692	33	12	,	,	PUNCT
cana-5692	33	13	and	and	CCONJ
cana-5692	33	14	structural	structural	ADJ
cana-5692	33	15	anomalies	anomaly	NOUN
cana-5692	33	16	to	to	PART
cana-5692	33	17	uncover	uncover	VERB
cana-5692	33	18	fraud	fraud	NOUN
cana-5692	33	19	.	.	PUNCT
cana-5692	34	1	specifically	specifically	ADV
cana-5692	34	2	,	,	PUNCT
cana-5692	34	3	we	we	PRON
cana-5692	34	4	employ	employ	VERB
cana-5692	34	5	:	:	PUNCT
cana-5692	34	6	path	path	NOUN
cana-5692	34	7	-	-	PUNCT
cana-5692	34	8	based	base	VERB
cana-5692	34	9	similarity	similarity	NOUN
cana-5692	34	10	analysis	analysis	NOUN
cana-5692	34	11	to	to	PART
cana-5692	34	12	identify	identify	VERB
cana-5692	34	13	accounts	account	NOUN
cana-5692	34	14	with	with	ADP
cana-5692	34	15	unnatural	unnatural	ADJ
cana-5692	34	16	interaction	interaction	NOUN
cana-5692	34	17	patterns	pattern	NOUN
cana-5692	34	18	.	.	PUNCT
cana-5692	35	1	graph	graph	NOUN
cana-5692	35	2	clustering	clustering	NOUN
cana-5692	35	3	and	and	CCONJ
cana-5692	35	4	community	community	NOUN
cana-5692	35	5	detection	detection	NOUN
cana-5692	35	6	to	to	PART
cana-5692	35	7	reveal	reveal	VERB
cana-5692	35	8	coordinated	coordinate	VERB
cana-5692	35	9	fraudulent	fraudulent	ADJ
cana-5692	35	10	groups	group	NOUN
cana-5692	35	11	.	.	PUNCT
cana-5692	36	1	cycle	cycle	NOUN
cana-5692	36	2	detection	detection	NOUN
cana-5692	36	3	algorithms	algorithm	NOUN
cana-5692	36	4	to	to	PART
cana-5692	36	5	identify	identify	VERB
cana-5692	36	6	engagement	engagement	NOUN
cana-5692	36	7	loops	loop	NOUN
cana-5692	36	8	commonly	commonly	ADV
cana-5692	36	9	used	use	VERB
cana-5692	36	10	by	by	ADP
cana-5692	36	11	bots	bot	NOUN
cana-5692	36	12	.	.	PUNCT
cana-5692	37	1	graph	graph	VERB
cana-5692	37	2	neural	neural	ADJ
cana-5692	37	3	networks	network	NOUN
cana-5692	37	4	(	(	PUNCT
cana-5692	37	5	gnns	gnns	NOUN
cana-5692	37	6	)	)	PUNCT
cana-5692	37	7	and	and	CCONJ
cana-5692	37	8	anomaly	anomaly	NOUN
cana-5692	37	9	detection	detection	NOUN
cana-5692	37	10	models	model	NOUN
cana-5692	37	11	to	to	PART
cana-5692	37	12	classify	classify	VERB
cana-5692	37	13	suspicious	suspicious	ADJ
cana-5692	37	14	users	user	NOUN
cana-5692	37	15	based	base	VERB
cana-5692	37	16	on	on	ADP
cana-5692	37	17	path	path	NOUN
cana-5692	37	18	-	-	PUNCT
cana-5692	37	19	based	base	VERB
cana-5692	37	20	features	feature	NOUN
cana-5692	37	21	.	.	PUNCT
cana-5692	38	1	the	the	DET
cana-5692	38	2	proposed	propose	VERB
cana-5692	38	3	framework	framework	NOUN
cana-5692	38	4	enhances	enhance	VERB
cana-5692	38	5	the	the	DET
cana-5692	38	6	accuracy	accuracy	NOUN
cana-5692	38	7	and	and	CCONJ
cana-5692	38	8	scalability	scalability	NOUN
cana-5692	38	9	of	of	ADP
cana-5692	38	10	fraud	fraud	NOUN
cana-5692	38	11	detection	detection	NOUN
cana-5692	38	12	mechanisms	mechanism	NOUN
cana-5692	38	13	,	,	PUNCT
cana-5692	38	14	allowing	allow	VERB
cana-5692	38	15	for	for	ADP
cana-5692	38	16	effective	effective	ADJ
cana-5692	38	17	identification	identification	NOUN
cana-5692	38	18	of	of	ADP
cana-5692	38	19	fraudulent	fraudulent	ADJ
cana-5692	38	20	activities	activity	NOUN
cana-5692	38	21	even	even	ADV
cana-5692	38	22	in	in	ADP
cana-5692	38	23	large	large	ADJ
cana-5692	38	24	-	-	PUNCT
cana-5692	38	25	scale	scale	NOUN
cana-5692	38	26	social	social	ADJ
cana-5692	38	27	networks	network	NOUN
cana-5692	38	28	.	.	PUNCT
cana-5692	39	1	through	through	ADP
cana-5692	39	2	experimental	experimental	ADJ
cana-5692	39	3	evaluation	evaluation	NOUN
cana-5692	39	4	on	on	ADP
cana-5692	39	5	real	real	ADJ
cana-5692	39	6	-	-	PUNCT
cana-5692	39	7	world	world	NOUN
cana-5692	39	8	datasets	dataset	NOUN
cana-5692	39	9	,	,	PUNCT
cana-5692	39	10	we	we	PRON
cana-5692	39	11	demonstrate	demonstrate	VERB
cana-5692	39	12	the	the	DET
cana-5692	39	13	efficacy	efficacy	NOUN
cana-5692	39	14	of	of	ADP
cana-5692	39	15	our	our	PRON
cana-5692	39	16	approach	approach	NOUN
cana-5692	39	17	in	in	ADP
cana-5692	39	18	distinguishing	distinguish	VERB
cana-5692	39	19	fraudulent	fraudulent	ADJ
cana-5692	39	20	users	user	NOUN
cana-5692	39	21	from	from	ADP
cana-5692	39	22	legitimate	legitimate	ADJ
cana-5692	39	23	ones	one	NOUN
cana-5692	39	24	,	,	PUNCT
cana-5692	39	25	reducing	reduce	VERB
cana-5692	39	26	false	false	ADJ
cana-5692	39	27	positives	positive	NOUN
cana-5692	39	28	,	,	PUNCT
cana-5692	39	29	and	and	CCONJ
cana-5692	39	30	improving	improve	VERB
cana-5692	39	31	overall	overall	ADJ
cana-5692	39	32	detection	detection	NOUN
cana-5692	39	33	rates	rate	NOUN
cana-5692	39	34	.	.	PUNCT
cana-5692	40	1	ii	ii	X
cana-5692	40	2	.	.	PROPN
cana-5692	40	3	related	relate	VERB
cana-5692	40	4	works	work	NOUN
cana-5692	40	5	fraud	fraud	NOUN
cana-5692	40	6	detection	detection	NOUN
cana-5692	40	7	in	in	ADP
cana-5692	40	8	social	social	ADJ
cana-5692	40	9	media	medium	NOUN
cana-5692	40	10	networks	network	NOUN
cana-5692	40	11	has	have	AUX
cana-5692	40	12	been	be	AUX
cana-5692	40	13	an	an	DET
cana-5692	40	14	active	active	ADJ
cana-5692	40	15	area	area	NOUN
cana-5692	40	16	of	of	ADP
cana-5692	40	17	research	research	NOUN
cana-5692	40	18	,	,	PUNCT
cana-5692	40	19	with	with	ADP
cana-5692	40	20	various	various	ADJ
cana-5692	40	21	techniques	technique	NOUN
cana-5692	40	22	proposed	propose	VERB
cana-5692	40	23	to	to	PART
cana-5692	40	24	identify	identify	VERB
cana-5692	40	25	fraudulent	fraudulent	ADJ
cana-5692	40	26	activities	activity	NOUN
cana-5692	40	27	.	.	PUNCT
cana-5692	41	1	traditional	traditional	ADJ
cana-5692	41	2	methods	method	NOUN
cana-5692	41	3	,	,	PUNCT
cana-5692	41	4	such	such	ADJ
cana-5692	41	5	as	as	ADP
cana-5692	41	6	rule	rule	NOUN
cana-5692	41	7	-	-	PUNCT
cana-5692	41	8	based	base	VERB
cana-5692	41	9	systems	system	NOUN
cana-5692	41	10	and	and	CCONJ
cana-5692	41	11	machine	machine	NOUN
cana-5692	41	12	learning	learning	NOUN
cana-5692	41	13	models	model	NOUN
cana-5692	41	14	,	,	PUNCT
cana-5692	41	15	have	have	AUX
cana-5692	41	16	been	be	AUX
cana-5692	41	17	widely	widely	ADV
cana-5692	41	18	used	use	VERB
cana-5692	41	19	,	,	PUNCT
cana-5692	41	20	but	but	CCONJ
cana-5692	41	21	their	their	PRON
cana-5692	41	22	limitations	limitation	NOUN
cana-5692	41	23	in	in	ADP
cana-5692	41	24	handling	handle	VERB
cana-5692	41	25	complex	complex	ADJ
cana-5692	41	26	social	social	ADJ
cana-5692	41	27	interactions	interaction	NOUN
cana-5692	41	28	have	have	AUX
cana-5692	41	29	led	lead	VERB
cana-5692	41	30	to	to	ADP
cana-5692	41	31	the	the	DET
cana-5692	41	32	adoption	adoption	NOUN
cana-5692	41	33	of	of	ADP
cana-5692	41	34	advanced	advanced	ADJ
cana-5692	41	35	deep	deep	ADJ
cana-5692	41	36	learning	learning	NOUN
cana-5692	41	37	approaches	approach	NOUN
cana-5692	41	38	,	,	PUNCT
cana-5692	41	39	particularly	particularly	ADV
cana-5692	41	40	graph	graph	VERB
cana-5692	41	41	neural	neural	ADJ
cana-5692	41	42	networks	network	NOUN
cana-5692	41	43	(	(	PUNCT
cana-5692	41	44	gnns	gnns	NOUN
cana-5692	41	45	)	)	PUNCT
cana-5692	41	46	.	.	PUNCT
cana-5692	42	1	this	this	DET
cana-5692	42	2	section	section	NOUN
cana-5692	42	3	reviews	review	VERB
cana-5692	42	4	existing	exist	VERB
cana-5692	42	5	studies	study	NOUN
cana-5692	42	6	on	on	ADP
cana-5692	42	7	fraud	fraud	NOUN
cana-5692	42	8	detection	detection	NOUN
cana-5692	42	9	using	use	VERB
cana-5692	42	10	machine	machine	NOUN
cana-5692	42	11	learning	learning	NOUN
cana-5692	42	12	,	,	PUNCT
cana-5692	42	13	deep	deep	ADJ
cana-5692	42	14	learning	learning	NOUN
cana-5692	42	15	,	,	PUNCT
cana-5692	42	16	and	and	CCONJ
cana-5692	42	17	graph	graph	NOUN
cana-5692	42	18	-	-	PUNCT
cana-5692	42	19	based	base	VERB
cana-5692	42	20	models	model	NOUN
cana-5692	42	21	a	a	PRON
cana-5692	42	22	)	)	PUNCT
cana-5692	42	23	traditional	traditional	ADJ
cana-5692	42	24	machine	machine	NOUN
cana-5692	42	25	learning	learn	VERB
cana-5692	42	26	approaches	approach	NOUN
cana-5692	42	27	for	for	ADP
cana-5692	42	28	fraud	fraud	NOUN
cana-5692	42	29	detection	detection	NOUN
cana-5692	42	30	early	early	ADJ
cana-5692	42	31	fraud	fraud	NOUN
cana-5692	42	32	detection	detection	NOUN
cana-5692	42	33	models	model	NOUN
cana-5692	42	34	relied	rely	VERB
cana-5692	42	35	on	on	ADP
cana-5692	42	36	rulebased	rulebase	VERB
cana-5692	42	37	systems	system	NOUN
cana-5692	42	38	and	and	CCONJ
cana-5692	42	39	feature	feature	NOUN
cana-5692	42	40	engineering	engineering	NOUN
cana-5692	42	41	.	.	PUNCT
cana-5692	43	1	these	these	DET
cana-5692	43	2	methods	method	NOUN
cana-5692	43	3	used	use	VERB
cana-5692	43	4	predefined	predefine	VERB
cana-5692	43	5	rules	rule	NOUN
cana-5692	43	6	based	base	VERB
cana-5692	43	7	on	on	ADP
cana-5692	43	8	user	user	NOUN
cana-5692	43	9	activities	activity	NOUN
cana-5692	43	10	,	,	PUNCT
cana-5692	43	11	such	such	ADJ
cana-5692	43	12	as	as	ADP
cana-5692	43	13	excessive	excessive	ADJ
cana-5692	43	14	messaging	messaging	NOUN
cana-5692	43	15	,	,	PUNCT
cana-5692	43	16	frequent	frequent	ADJ
cana-5692	43	17	account	account	NOUN
cana-5692	43	18	creation	creation	NOUN
cana-5692	43	19	,	,	PUNCT
cana-5692	43	20	or	or	CCONJ
cana-5692	43	21	unusual	unusual	ADJ
cana-5692	43	22	content	content	NOUN
cana-5692	43	23	posting	post	VERB
cana-5692	43	24	patterns	pattern	NOUN
cana-5692	43	25	.	.	PUNCT
cana-5692	44	1	however	however	ADV
cana-5692	44	2	,	,	PUNCT
cana-5692	44	3	rule	rule	NOUN
cana-5692	44	4	-	-	PUNCT
cana-5692	44	5	based	base	VERB
cana-5692	44	6	approaches	approach	NOUN
cana-5692	44	7	lacked	lack	VERB
cana-5692	44	8	adaptability	adaptability	NOUN
cana-5692	44	9	to	to	ADP
cana-5692	44	10	evolving	evolve	VERB
cana-5692	44	11	fraud	fraud	NOUN
cana-5692	44	12	techniques	technique	NOUN
cana-5692	44	13	.	.	PUNCT
cana-5692	45	1	to	to	PART
cana-5692	45	2	overcome	overcome	VERB
cana-5692	45	3	these	these	DET
cana-5692	45	4	limitations	limitation	NOUN
cana-5692	45	5	,	,	PUNCT
cana-5692	45	6	supervised	supervised	ADJ
cana-5692	45	7	machine	machine	NOUN
cana-5692	45	8	learning	learn	VERB
cana-5692	45	9	algorithms	algorithm	NOUN
cana-5692	45	10	like	like	ADP
cana-5692	45	11	support	support	NOUN
cana-5692	45	12	vector	vector	NOUN
cana-5692	45	13	machines	machine	NOUN
cana-5692	45	14	(	(	PUNCT
cana-5692	45	15	svm	svm	PROPN
cana-5692	45	16	)	)	PUNCT
cana-5692	45	17	,	,	PUNCT
cana-5692	45	18	random	random	ADJ
cana-5692	45	19	forest	forest	NOUN
cana-5692	45	20	(	(	PUNCT
cana-5692	45	21	rf	rf	NOUN
cana-5692	45	22	)	)	PUNCT
cana-5692	45	23	,	,	PUNCT
cana-5692	45	24	and	and	CCONJ
cana-5692	45	25	decision	decision	NOUN
cana-5692	45	26	trees	tree	NOUN
cana-5692	45	27	(	(	PUNCT
cana-5692	45	28	dt	dt	NOUN
cana-5692	45	29	)	)	PUNCT
cana-5692	45	30	were	be	AUX
cana-5692	45	31	employed	employ	VERB
cana-5692	45	32	for	for	ADP
cana-5692	45	33	fraud	fraud	NOUN
cana-5692	45	34	detection	detection	NOUN
cana-5692	45	35	in	in	ADP
cana-5692	45	36	social	social	ADJ
cana-5692	45	37	networks	network	NOUN
cana-5692	45	38	.	.	PUNCT
cana-5692	46	1	deep	deep	ADJ
cana-5692	46	2	learning	learning	NOUN
cana-5692	46	3	techniques	technique	NOUN
cana-5692	46	4	,	,	PUNCT
cana-5692	46	5	particularly	particularly	ADV
cana-5692	46	6	recurrent	recurrent	ADJ
cana-5692	46	7	neural	neural	ADJ
cana-5692	46	8	networks	network	NOUN
cana-5692	46	9	(	(	PUNCT
cana-5692	46	10	rnns	rnns	PROPN
cana-5692	46	11	)	)	PUNCT
cana-5692	46	12	and	and	CCONJ
cana-5692	46	13	convolutional	convolutional	ADJ
cana-5692	46	14	neural	neural	ADJ
cana-5692	46	15	networks	network	NOUN
cana-5692	46	16	(	(	PUNCT
cana-5692	46	17	cnns	cnns	PROPN
cana-5692	46	18	)	)	PUNCT
cana-5692	46	19	,	,	PUNCT
cana-5692	46	20	have	have	AUX
cana-5692	46	21	been	be	AUX
cana-5692	46	22	explored	explore	VERB
cana-5692	46	23	for	for	ADP
cana-5692	46	24	fraud	fraud	NOUN
cana-5692	46	25	detection	detection	NOUN
cana-5692	46	26	by	by	ADP
cana-5692	46	27	analyzing	analyze	VERB
cana-5692	46	28	sequential	sequential	ADJ
cana-5692	46	29	user	user	NOUN
cana-5692	46	30	behaviors	behavior	NOUN
cana-5692	46	31	and	and	CCONJ
cana-5692	46	32	textual	textual	ADJ
cana-5692	46	33	content	content	NOUN
cana-5692	46	34	.	.	PUNCT
cana-5692	47	1	gao	gao	PROPN
cana-5692	47	2	et	et	PROPN
cana-5692	47	3	al	al	PROPN
cana-5692	47	4	.	.	PROPN
cana-5692	47	5	(	(	PUNCT
cana-5692	47	6	2021	2021	NUM
cana-5692	47	7	)	)	PUNCT
cana-5692	47	8	proposed	propose	VERB
cana-5692	47	9	a	a	DET
cana-5692	47	10	deep	deep	ADJ
cana-5692	47	11	learning	learning	NOUN
cana-5692	47	12	model	model	NOUN
cana-5692	47	13	using	use	VERB
cana-5692	47	14	long	long	ADJ
cana-5692	47	15	short	short	ADJ
cana-5692	47	16	-	-	PUNCT
cana-5692	47	17	term	term	NOUN
cana-5692	47	18	memory	memory	NOUN
cana-5692	47	19	(	(	PUNCT
cana-5692	47	20	lstm	lstm	NOUN
cana-5692	47	21	)	)	PUNCT
cana-5692	47	22	networks	network	NOUN
cana-5692	47	23	to	to	PART
cana-5692	47	24	detect	detect	VERB
cana-5692	47	25	fraudulent	fraudulent	ADJ
cana-5692	47	26	patterns	pattern	NOUN
cana-5692	47	27	in	in	ADP
cana-5692	47	28	user	user	NOUN
cana-5692	47	29	activities	activity	NOUN
cana-5692	47	30	over	over	ADP
cana-5692	47	31	time	time	NOUN
cana-5692	47	32	.	.	PUNCT
cana-5692	48	1	similarly	similarly	ADV
cana-5692	48	2	,	,	PUNCT
cana-5692	48	3	chen	chen	PROPN
cana-5692	48	4	et	et	PROPN
cana-5692	48	5	al	al	PROPN
cana-5692	48	6	.	.	PROPN
cana-5692	48	7	(	(	PUNCT
cana-5692	48	8	2021	2021	NUM
cana-5692	48	9	)	)	PUNCT
cana-5692	48	10	applied	apply	VERB
cana-5692	48	11	cnns	cnn	NOUN
cana-5692	48	12	for	for	ADP
cana-5692	48	13	fake	fake	ADJ
cana-5692	48	14	news	news	NOUN
cana-5692	48	15	detection	detection	NOUN
cana-5692	48	16	in	in	ADP
cana-5692	48	17	social	social	ADJ
cana-5692	48	18	media	medium	NOUN
cana-5692	48	19	posts	post	NOUN
cana-5692	48	20	,	,	PUNCT
cana-5692	48	21	leveraging	leverage	VERB
cana-5692	48	22	textual	textual	ADJ
cana-5692	48	23	and	and	CCONJ
cana-5692	48	24	visual	visual	ADJ
cana-5692	48	25	data	datum	NOUN
cana-5692	48	26	.	.	PUNCT
cana-5692	49	1	while	while	SCONJ
cana-5692	49	2	deep	deep	ADJ
cana-5692	49	3	learning	learning	NOUN
cana-5692	49	4	models	model	NOUN
cana-5692	49	5	provided	provide	VERB
cana-5692	49	6	significant	significant	ADJ
cana-5692	49	7	improvements	improvement	NOUN
cana-5692	49	8	over	over	ADP
cana-5692	49	9	traditional	traditional	ADJ
cana-5692	49	10	methods	method	NOUN
cana-5692	49	11	,	,	PUNCT
cana-5692	49	12	they	they	PRON
cana-5692	49	13	still	still	ADV
cana-5692	49	14	struggled	struggle	VERB
cana-5692	49	15	to	to	PART
cana-5692	49	16	incorporate	incorporate	VERB
cana-5692	49	17	the	the	DET
cana-5692	49	18	structural	structural	ADJ
cana-5692	49	19	relationships	relationship	NOUN
cana-5692	49	20	among	among	ADP
cana-5692	49	21	users	user	NOUN
cana-5692	49	22	.	.	PUNCT
cana-5692	50	1	the	the	DET
cana-5692	50	2	inability	inability	NOUN
cana-5692	50	3	to	to	PART
cana-5692	50	4	fully	fully	ADV
cana-5692	50	5	utilize	utilize	VERB
cana-5692	50	6	the	the	DET
cana-5692	50	7	network	network	NOUN
cana-5692	50	8	topology	topology	NOUN
cana-5692	50	9	led	lead	VERB
cana-5692	50	10	researchers	researcher	NOUN
cana-5692	50	11	to	to	PART
cana-5692	50	12	explore	explore	VERB
cana-5692	50	13	graph	graph	NOUN
cana-5692	50	14	-	-	PUNCT
cana-5692	50	15	based	base	VERB
cana-5692	50	16	models	model	NOUN
cana-5692	50	17	,	,	PUNCT
cana-5692	50	18	which	which	PRON
cana-5692	50	19	offer	offer	VERB
cana-5692	50	20	a	a	DET
cana-5692	50	21	more	more	ADV
cana-5692	50	22	comprehensive	comprehensive	ADJ
cana-5692	50	23	understanding	understanding	NOUN
cana-5692	50	24	of	of	ADP
cana-5692	50	25	social	social	ADJ
cana-5692	50	26	interactions	interaction	NOUN
cana-5692	50	27	b	b	NOUN
cana-5692	50	28	)	)	PUNCT
cana-5692	50	29	graph	graph	NOUN
cana-5692	50	30	-	-	PUNCT
cana-5692	50	31	based	base	VERB
cana-5692	50	32	approaches	approach	NOUN
cana-5692	50	33	for	for	ADP
cana-5692	50	34	fraud	fraud	NOUN
cana-5692	50	35	detection	detection	NOUN
cana-5692	50	36	graph	graph	NOUN
cana-5692	50	37	-	-	PUNCT
cana-5692	50	38	based	base	VERB
cana-5692	50	39	techniques	technique	NOUN
cana-5692	50	40	have	have	AUX
cana-5692	50	41	gained	gain	VERB
cana-5692	50	42	popularity	popularity	NOUN
cana-5692	50	43	for	for	ADP
cana-5692	50	44	fraud	fraud	NOUN
cana-5692	50	45	detection	detection	NOUN
cana-5692	50	46	as	as	SCONJ
cana-5692	50	47	they	they	PRON
cana-5692	50	48	effectively	effectively	ADV
cana-5692	50	49	model	model	VERB
cana-5692	50	50	social	social	ADJ
cana-5692	50	51	media	medium	NOUN
cana-5692	50	52	interactions	interaction	NOUN
cana-5692	50	53	.	.	PUNCT
cana-5692	51	1	graph	graph	VERB
cana-5692	51	2	convolutional	convolutional	ADJ
cana-5692	51	3	networks	network	NOUN
cana-5692	51	4	(	(	PUNCT
cana-5692	51	5	gcns	gcns	PROPN
cana-5692	51	6	)	)	PUNCT
cana-5692	51	7	and	and	CCONJ
cana-5692	51	8	graph	graph	VERB
cana-5692	51	9	neural	neural	ADJ
cana-5692	51	10	networks	network	NOUN
cana-5692	51	11	(	(	PUNCT
cana-5692	51	12	gnns	gnns	NOUN
cana-5692	51	13	)	)	PUNCT
cana-5692	51	14	have	have	AUX
cana-5692	51	15	shown	show	VERB
cana-5692	51	16	superior	superior	ADJ
cana-5692	51	17	performance	performance	NOUN
cana-5692	51	18	by	by	ADP
cana-5692	51	19	learning	learn	VERB
cana-5692	51	20	both	both	CCONJ
cana-5692	51	21	node	node	NOUN
cana-5692	51	22	features	feature	NOUN
cana-5692	51	23	and	and	CCONJ
cana-5692	51	24	their	their	PRON
cana-5692	51	25	connectivity	connectivity	NOUN
cana-5692	51	26	patterns	pattern	NOUN
cana-5692	51	27	.	.	PUNCT
cana-5692	52	1	kumar	kumar	PROPN
cana-5692	52	2	et	et	PROPN
cana-5692	52	3	al	al	PROPN
cana-5692	52	4	.	.	PROPN
cana-5692	52	5	(	(	PUNCT
cana-5692	52	6	2022	2022	NUM
cana-5692	52	7	)	)	PUNCT
cana-5692	52	8	introduced	introduce	VERB
cana-5692	52	9	a	a	DET
cana-5692	52	10	gcn	gcn	NOUN
cana-5692	52	11	-	-	PUNCT
cana-5692	52	12	based	base	VERB
cana-5692	52	13	fraud	fraud	NOUN
cana-5692	52	14	detection	detection	NOUN
cana-5692	52	15	model	model	NOUN
cana-5692	52	16	,	,	PUNCT
cana-5692	52	17	where	where	SCONJ
cana-5692	52	18	user	user	NOUN
cana-5692	52	19	interactions	interaction	NOUN
cana-5692	52	20	were	be	AUX
cana-5692	52	21	represented	represent	VERB
cana-5692	52	22	as	as	ADP
cana-5692	52	23	a	a	DET
cana-5692	52	24	graph	graph	NOUN
cana-5692	52	25	structure	structure	NOUN
cana-5692	52	26	.	.	PUNCT
cana-5692	53	1	the	the	DET
cana-5692	53	2	model	model	NOUN
cana-5692	53	3	captured	capture	VERB
cana-5692	53	4	hidden	hide	VERB
cana-5692	53	5	relationships	relationship	NOUN
cana-5692	53	6	between	between	ADP
cana-5692	53	7	users	user	NOUN
cana-5692	53	8	and	and	CCONJ
cana-5692	53	9	significantly	significantly	ADV
cana-5692	53	10	improved	improve	VERB
cana-5692	53	11	fraud	fraud	NOUN
cana-5692	53	12	detection	detection	NOUN
cana-5692	53	13	accuracy	accuracy	NOUN
cana-5692	53	14	.	.	PUNCT
cana-5692	54	1	similarly	similarly	ADV
cana-5692	54	2	,	,	PUNCT
cana-5692	54	3	liu	liu	PROPN
cana-5692	54	4	et	et	PROPN
cana-5692	54	5	al	al	PROPN
cana-5692	54	6	.	.	PROPN
cana-5692	54	7	(	(	PUNCT
cana-5692	54	8	2022	2022	NUM
cana-5692	54	9	)	)	PUNCT
cana-5692	54	10	proposed	propose	VERB
cana-5692	54	11	a	a	DET
cana-5692	54	12	heterogeneous	heterogeneous	ADJ
cana-5692	54	13	gnn	gnn	NOUN
cana-5692	54	14	to	to	PART
cana-5692	54	15	analyze	analyze	VERB
cana-5692	54	16	multiple	multiple	ADJ
cana-5692	54	17	types	type	NOUN
cana-5692	54	18	of	of	ADP
cana-5692	54	19	social	social	ADJ
cana-5692	54	20	interactions	interaction	NOUN
cana-5692	54	21	,	,	PUNCT
cana-5692	54	22	such	such	ADJ
cana-5692	54	23	as	as	ADP
cana-5692	54	24	likes	like	NOUN
cana-5692	54	25	,	,	PUNCT
cana-5692	54	26	shares	share	NOUN
cana-5692	54	27	,	,	PUNCT
cana-5692	54	28	and	and	CCONJ
cana-5692	54	29	comments	comment	NOUN
cana-5692	54	30	,	,	PUNCT
cana-5692	54	31	providing	provide	VERB
cana-5692	54	32	a	a	DET
cana-5692	54	33	more	more	ADV
cana-5692	54	34	robust	robust	ADJ
cana-5692	54	35	fraud	fraud	NOUN
cana-5692	54	36	detection	detection	NOUN
cana-5692	54	37	mechanism	mechanism	NOUN
cana-5692	54	38	.	.	PUNCT
cana-5692	55	1	moreover	moreover	ADV
cana-5692	55	2	,	,	PUNCT
cana-5692	55	3	zhang	zhang	PROPN
cana-5692	55	4	et	et	PROPN
cana-5692	55	5	al	al	PROPN
cana-5692	55	6	.	.	PROPN
cana-5692	55	7	(	(	PUNCT
cana-5692	55	8	2023	2023	NUM
cana-5692	55	9	)	)	PUNCT
cana-5692	55	10	explored	explore	VERB
cana-5692	55	11	graph	graph	NOUN
cana-5692	55	12	attention	attention	NOUN
cana-5692	55	13	networks	network	NOUN
cana-5692	55	14	(	(	PUNCT
cana-5692	55	15	gats	gat	NOUN
cana-5692	55	16	)	)	PUNCT
cana-5692	55	17	to	to	PART
cana-5692	55	18	enhance	enhance	VERB
cana-5692	55	19	fraud	fraud	NOUN
cana-5692	55	20	detection	detection	NOUN
cana-5692	55	21	by	by	ADP
cana-5692	55	22	assigning	assign	VERB
cana-5692	55	23	different	different	ADJ
cana-5692	55	24	attention	attention	NOUN
cana-5692	55	25	weights	weight	NOUN
cana-5692	55	26	to	to	ADP
cana-5692	55	27	user	user	NOUN
cana-5692	55	28	connections	connection	NOUN
cana-5692	55	29	.	.	PUNCT
cana-5692	56	1	their	their	PRON
cana-5692	56	2	approach	approach	NOUN
cana-5692	56	3	successfully	successfully	ADV
cana-5692	56	4	identified	identify	VERB
cana-5692	56	5	fraudulent	fraudulent	ADJ
cana-5692	56	6	users	user	NOUN
cana-5692	56	7	with	with	ADP
cana-5692	56	8	high	high	ADJ
cana-5692	56	9	precision	precision	NOUN
cana-5692	56	10	,	,	PUNCT
cana-5692	56	11	even	even	ADV
cana-5692	56	12	in	in	ADP
cana-5692	56	13	large	large	ADJ
cana-5692	56	14	-	-	PUNCT
cana-5692	56	15	scale	scale	NOUN
cana-5692	56	16	social	social	ADJ
cana-5692	56	17	media	medium	NOUN
cana-5692	56	18	datasets	dataset	NOUN
cana-5692	56	19	c	c	NOUN
cana-5692	56	20	)	)	PUNCT
cana-5692	56	21	for	for	ADP
cana-5692	56	22	instance	instance	NOUN
cana-5692	56	23	,	,	PUNCT
cana-5692	56	24	wang	wang	PROPN
cana-5692	56	25	et	et	PROPN
cana-5692	56	26	al	al	PROPN
cana-5692	56	27	.	.	PROPN
cana-5692	57	1	(	(	PUNCT
cana-5692	57	2	2019	2019	NUM
cana-5692	57	3	)	)	PUNCT
cana-5692	57	4	developed	develop	VERB
cana-5692	57	5	a	a	DET
cana-5692	57	6	machine	machine	NOUN
cana-5692	57	7	learning	learning	NOUN
cana-5692	57	8	-	-	PUNCT
cana-5692	57	9	based	base	VERB
cana-5692	57	10	fraud	fraud	NOUN
cana-5692	57	11	detection	detection	NOUN
cana-5692	57	12	model	model	NOUN
cana-5692	57	13	using	use	VERB
cana-5692	57	14	user	user	NOUN
cana-5692	57	15	behavioural	behavioural	ADJ
cana-5692	57	16	features	feature	NOUN
cana-5692	57	17	and	and	CCONJ
cana-5692	57	18	achieved	achieve	VERB
cana-5692	57	19	moderate	moderate	ADJ
cana-5692	57	20	accuracy	accuracy	NOUN
cana-5692	57	21	in	in	ADP
cana-5692	57	22	detecting	detect	VERB
cana-5692	57	23	fake	fake	ADJ
cana-5692	57	24	accounts	account	NOUN
cana-5692	57	25	.	.	PUNCT
cana-5692	58	1	similarly	similarly	ADV
cana-5692	58	2	,	,	PUNCT
cana-5692	58	3	zhou	zhou	PROPN
cana-5692	58	4	et	et	PROPN
cana-5692	58	5	al	al	PROPN
cana-5692	58	6	.	.	PROPN
cana-5692	58	7	(	(	PUNCT
cana-5692	58	8	2020	2020	NUM
cana-5692	58	9	)	)	PUNCT
cana-5692	58	10	applied	apply	VERB
cana-5692	58	11	ensemble	ensemble	ADJ
cana-5692	58	12	learning	learning	NOUN
cana-5692	58	13	techniques	technique	NOUN
cana-5692	58	14	to	to	PART
cana-5692	58	15	detect	detect	VERB
cana-5692	58	16	social	social	ADJ
cana-5692	58	17	bots	bot	NOUN
cana-5692	58	18	,	,	PUNCT
cana-5692	58	19	demonstrating	demonstrate	VERB
cana-5692	58	20	improved	improved	ADJ
cana-5692	58	21	performance	performance	NOUN
cana-5692	58	22	compared	compare	VERB
cana-5692	58	23	to	to	ADP
cana-5692	58	24	standalone	standalone	NOUN
cana-5692	58	25	classifiers	classifier	NOUN
cana-5692	58	26	.	.	PUNCT
cana-5692	59	1	however	however	ADV
cana-5692	59	2	,	,	PUNCT
cana-5692	59	3	these	these	DET
cana-5692	59	4	methods	method	NOUN
cana-5692	59	5	were	be	AUX
cana-5692	59	6	constrained	constrain	VERB
cana-5692	59	7	by	by	ADP
cana-5692	59	8	their	their	PRON
cana-5692	59	9	dependence	dependence	NOUN
cana-5692	59	10	on	on	ADP
cana-5692	59	11	handcrafted	handcraft	VERB
cana-5692	59	12	features	feature	NOUN
cana-5692	59	13	and	and	CCONJ
cana-5692	59	14	struggled	struggle	VERB
cana-5692	59	15	with	with	ADP
cana-5692	59	16	large	large	ADJ
cana-5692	59	17	-	-	PUNCT
cana-5692	59	18	scale	scale	NOUN
cana-5692	59	19	,	,	PUNCT
cana-5692	59	20	dynamic	dynamic	ADJ
cana-5692	59	21	social	social	ADJ
cana-5692	59	22	networks	network	NOUN
cana-5692	59	23	.	.	PUNCT
cana-5692	60	1	communications	communication	NOUN
cana-5692	60	2	on	on	ADP
cana-5692	60	3	applied	apply	VERB
cana-5692	60	4	nonlinear	nonlinear	ADJ
cana-5692	60	5	analysis	analysis	NOUN
cana-5692	60	6	issn	issn	NOUN
cana-5692	60	7	:	:	PUNCT
cana-5692	60	8	1074	1074	NUM
cana-5692	60	9	-	-	PUNCT
cana-5692	60	10	133x	133x	NUM
cana-5692	60	11	vol	vol	NOUN
cana-5692	60	12	32	32	NUM
cana-5692	60	13	no	no	NOUN
cana-5692	60	14	.	.	PUNCT
cana-5692	61	1	4s	4s	NUM
cana-5692	61	2	(	(	PUNCT
cana-5692	61	3	2025	2025	NUM
cana-5692	61	4	)	)	PUNCT
cana-5692	61	5	733	733	NUM
cana-5692	61	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-5692	61	7	m	m	NOUN
cana-5692	61	8	d	d	NOUN
cana-5692	61	9	)	)	PUNCT
cana-5692	61	10	y.	y.	PROPN
cana-5692	61	11	jiang	jiang	PROPN
cana-5692	61	12	,	,	PUNCT
cana-5692	61	13	g.	g.	PROPN
cana-5692	61	14	liu	liu	PROPN
cana-5692	61	15	,	,	PUNCT
cana-5692	61	16	j.	j.	PROPN
cana-5692	61	17	wu	wu	PROPN
cana-5692	61	18	and	and	CCONJ
cana-5692	61	19	h.	h.	PROPN
cana-5692	61	20	lynn	lynn	PROPN
cana-5692	61	21	's	's	PART
cana-5692	61	22	probability	probability	NOUN
cana-5692	61	23	deal	deal	NOUN
cana-5692	61	24	with	with	ADP
cana-5692	61	25	a	a	DET
cana-5692	61	26	topic	topic	NOUN
cana-5692	61	27	in	in	ADP
cana-5692	61	28	detection	detection	NOUN
cana-5692	61	29	,	,	PUNCT
cana-5692	61	30	gnns	gnn	NOUN
cana-5692	61	31	,	,	PUNCT
cana-5692	61	32	cost	cost	NOUN
cana-5692	61	33	-	-	PUNCT
cana-5692	61	34	sensitive	sensitive	ADJ
cana-5692	61	35	learning	learning	NOUN
cana-5692	61	36	or	or	CCONJ
cana-5692	61	37	similar	similar	ADJ
cana-5692	61	38	areas	area	NOUN
cana-5692	61	39	based	base	VERB
cana-5692	61	40	on	on	ADP
cana-5692	61	41	reference	reference	NOUN
cana-5692	61	42	to	to	ADP
cana-5692	61	43	your	your	PRON
cana-5692	61	44	previous	previous	ADJ
cana-5692	61	45	questions	question	NOUN
cana-5692	61	46	.	.	PUNCT
cana-5692	62	1	although	although	SCONJ
cana-5692	62	2	the	the	DET
cana-5692	62	3	exact	exact	ADJ
cana-5692	62	4	title	title	NOUN
cana-5692	62	5	is	be	AUX
cana-5692	62	6	not	not	PART
cana-5692	62	7	given	give	VERB
cana-5692	62	8	,	,	PUNCT
cana-5692	62	9	it	it	PRON
cana-5692	62	10	is	be	AUX
cana-5692	62	11	possible	possible	ADJ
cana-5692	62	12	that	that	SCONJ
cana-5692	62	13	studies	study	NOUN
cana-5692	62	14	advanced	advanced	ADJ
cana-5692	62	15	machine	machine	NOUN
cana-5692	62	16	learning	learn	VERB
cana-5692	62	17	techniques	technique	NOUN
cana-5692	62	18	,	,	PUNCT
cana-5692	62	19	such	such	ADJ
cana-5692	62	20	as	as	ADP
cana-5692	62	21	gnn	gnn	PROPN
cana-5692	62	22	,	,	PUNCT
cana-5692	62	23	to	to	PART
cana-5692	62	24	detect	detect	VERB
cana-5692	62	25	fraud	fraud	NOUN
cana-5692	62	26	or	or	CCONJ
cana-5692	62	27	deviations	deviation	NOUN
cana-5692	62	28	in	in	ADP
cana-5692	62	29	complex	complex	ADJ
cana-5692	62	30	networks	network	NOUN
cana-5692	62	31	,	,	PUNCT
cana-5692	62	32	such	such	ADJ
cana-5692	62	33	as	as	ADP
cana-5692	62	34	fraud	fraud	NOUN
cana-5692	62	35	in	in	ADP
cana-5692	62	36	complex	complex	ADJ
cana-5692	62	37	networks	network	NOUN
cana-5692	62	38	such	such	ADJ
cana-5692	62	39	as	as	ADP
cana-5692	62	40	mobile	mobile	ADJ
cana-5692	62	41	social	social	ADJ
cana-5692	62	42	networks	network	NOUN
cana-5692	62	43	or	or	CCONJ
cana-5692	62	44	focus	focus	VERB
cana-5692	62	45	on	on	ADP
cana-5692	62	46	deviations	deviation	NOUN
cana-5692	62	47	.	.	PUNCT
cana-5692	63	1	this	this	DET
cana-5692	63	2	type	type	NOUN
cana-5692	63	3	of	of	ADP
cana-5692	63	4	network	network	NOUN
cana-5692	63	5	often	often	ADV
cana-5692	63	6	involves	involve	VERB
cana-5692	63	7	unbalanced	unbalanced	ADJ
cana-5692	63	8	data	datum	NOUN
cana-5692	63	9	sets	set	NOUN
cana-5692	63	10	,	,	PUNCT
cana-5692	63	11	where	where	SCONJ
cana-5692	63	12	fraud	fraud	NOUN
cana-5692	63	13	activities	activity	NOUN
cana-5692	63	14	are	be	AUX
cana-5692	63	15	much	much	ADV
cana-5692	63	16	less	less	ADJ
cana-5692	63	17	than	than	ADP
cana-5692	63	18	legitimate	legitimate	ADJ
cana-5692	63	19	behavior	behavior	NOUN
cana-5692	63	20	,	,	PUNCT
cana-5692	63	21	and	and	CCONJ
cana-5692	63	22	present	present	VERB
cana-5692	63	23	a	a	DET
cana-5692	63	24	challenge	challenge	NOUN
cana-5692	63	25	for	for	ADP
cana-5692	63	26	traditional	traditional	ADJ
cana-5692	63	27	machine	machine	NOUN
cana-5692	63	28	learning	learning	NOUN
cana-5692	63	29	methods	method	NOUN
cana-5692	63	30	e	e	NOUN
cana-5692	63	31	)	)	PUNCT
cana-5692	63	32	path	path	NOUN
cana-5692	63	33	-	-	PUNCT
cana-5692	63	34	based	base	VERB
cana-5692	63	35	methods	method	NOUN
cana-5692	63	36	focus	focus	VERB
cana-5692	63	37	on	on	ADP
cana-5692	63	38	analysing	analyse	VERB
cana-5692	63	39	user	user	NOUN
cana-5692	63	40	interaction	interaction	NOUN
cana-5692	63	41	paths	path	NOUN
cana-5692	63	42	to	to	PART
cana-5692	63	43	detect	detect	VERB
cana-5692	63	44	suspicious	suspicious	ADJ
cana-5692	63	45	activity	activity	NOUN
cana-5692	63	46	.	.	PUNCT
cana-5692	64	1	these	these	DET
cana-5692	64	2	approaches	approach	NOUN
cana-5692	64	3	capture	capture	VERB
cana-5692	64	4	indirect	indirect	ADJ
cana-5692	64	5	relationships	relationship	NOUN
cana-5692	64	6	and	and	CCONJ
cana-5692	64	7	hidden	hidden	ADJ
cana-5692	64	8	connections	connection	NOUN
cana-5692	64	9	between	between	ADP
cana-5692	64	10	users	user	NOUN
cana-5692	64	11	that	that	PRON
cana-5692	64	12	are	be	AUX
cana-5692	64	13	often	often	ADV
cana-5692	64	14	overlooked	overlook	VERB
cana-5692	64	15	by	by	ADP
cana-5692	64	16	direct	direct	ADJ
cana-5692	64	17	interaction	interaction	NOUN
cana-5692	64	18	-	-	PUNCT
cana-5692	64	19	based	base	VERB
cana-5692	64	20	models	model	NOUN
cana-5692	64	21	meta	meta	ADJ
cana-5692	64	22	-	-	PUNCT
cana-5692	64	23	path	path	NOUN
cana-5692	64	24	-	-	PUNCT
cana-5692	64	25	based	base	VERB
cana-5692	64	26	analysis	analysis	NOUN
cana-5692	64	27	a	a	DET
cana-5692	64	28	meta	meta	ADJ
cana-5692	64	29	-	-	PUNCT
cana-5692	64	30	path	path	NOUN
cana-5692	64	31	is	be	AUX
cana-5692	64	32	a	a	DET
cana-5692	64	33	predefined	predefine	VERB
cana-5692	64	34	sequence	sequence	NOUN
cana-5692	64	35	of	of	ADP
cana-5692	64	36	relations	relation	NOUN
cana-5692	64	37	between	between	ADP
cana-5692	64	38	entities	entity	NOUN
cana-5692	64	39	in	in	ADP
cana-5692	64	40	a	a	DET
cana-5692	64	41	graph	graph	NOUN
cana-5692	64	42	.	.	PUNCT
cana-5692	65	1	sun	sun	PROPN
cana-5692	65	2	et	et	PROPN
cana-5692	65	3	al	al	PROPN
cana-5692	65	4	.	.	PUNCT
cana-5692	66	1	[	[	X
cana-5692	66	2	10	10	NUM
cana-5692	66	3	]	]	PUNCT
cana-5692	66	4	introduced	introduce	VERB
cana-5692	66	5	heterogeneous	heterogeneous	ADJ
cana-5692	66	6	graph	graph	NOUN
cana-5692	66	7	attention	attention	NOUN
cana-5692	66	8	networks	network	NOUN
cana-5692	66	9	(	(	PUNCT
cana-5692	66	10	hans	hans	PROPN
cana-5692	66	11	)	)	PUNCT
cana-5692	66	12	,	,	PUNCT
cana-5692	66	13	using	use	VERB
cana-5692	66	14	meta	meta	ADJ
cana-5692	66	15	-	-	PUNCT
cana-5692	66	16	path	path	NOUN
cana-5692	66	17	-	-	PUNCT
cana-5692	66	18	based	base	VERB
cana-5692	66	19	learning	learning	NOUN
cana-5692	66	20	to	to	PART
cana-5692	66	21	detect	detect	VERB
cana-5692	66	22	anomalous	anomalous	ADJ
cana-5692	66	23	behavior	behavior	NOUN
cana-5692	66	24	in	in	ADP
cana-5692	66	25	multi	multi	ADJ
cana-5692	66	26	-	-	ADJ
cana-5692	66	27	relational	relational	ADJ
cana-5692	66	28	social	social	ADJ
cana-5692	66	29	graphs	graph	NOUN
cana-5692	66	30	.	.	PUNCT
cana-5692	67	1	similarly	similarly	ADV
cana-5692	67	2	,	,	PUNCT
cana-5692	67	3	wu	wu	PROPN
cana-5692	67	4	et	et	PROPN
cana-5692	67	5	al	al	PROPN
cana-5692	67	6	.	.	PUNCT
cana-5692	68	1	[	[	X
cana-5692	68	2	11	11	NUM
cana-5692	68	3	]	]	PUNCT
cana-5692	68	4	developed	develop	VERB
cana-5692	68	5	pathrank	pathrank	NOUN
cana-5692	68	6	,	,	PUNCT
cana-5692	68	7	which	which	PRON
cana-5692	68	8	ranks	rank	VERB
cana-5692	68	9	users	user	NOUN
cana-5692	68	10	based	base	VERB
cana-5692	68	11	on	on	ADP
cana-5692	68	12	their	their	PRON
cana-5692	68	13	indirect	indirect	ADJ
cana-5692	68	14	connections	connection	NOUN
cana-5692	68	15	to	to	ADP
cana-5692	68	16	fraudulent	fraudulent	ADJ
cana-5692	68	17	accounts	account	NOUN
cana-5692	68	18	.	.	PUNCT
cana-5692	69	1	f	f	X
cana-5692	69	2	)	)	PUNCT
cana-5692	69	3	cycle	cycle	NOUN
cana-5692	69	4	detection	detection	NOUN
cana-5692	69	5	&	&	CCONJ
cana-5692	69	6	bot	bot	PROPN
cana-5692	69	7	networks	network	NOUN
cana-5692	69	8	bot	bot	NOUN
cana-5692	69	9	networks	network	NOUN
cana-5692	69	10	often	often	ADV
cana-5692	69	11	follow	follow	VERB
cana-5692	69	12	cyclic	cyclic	ADJ
cana-5692	69	13	interaction	interaction	NOUN
cana-5692	69	14	patterns	pattern	NOUN
cana-5692	69	15	to	to	PART
cana-5692	69	16	artificially	artificially	ADV
cana-5692	69	17	inflate	inflate	VERB
cana-5692	69	18	engagement	engagement	NOUN
cana-5692	69	19	metrics	metric	NOUN
cana-5692	69	20	.	.	PUNCT
cana-5692	70	1	zhou	zhou	PROPN
cana-5692	70	2	et	et	PROPN
cana-5692	70	3	al	al	PROPN
cana-5692	70	4	.	.	PUNCT
cana-5692	71	1	[	[	X
cana-5692	71	2	12	12	NUM
cana-5692	71	3	]	]	PUNCT
cana-5692	71	4	used	use	VERB
cana-5692	71	5	cycle	cycle	NOUN
cana-5692	71	6	detection	detection	NOUN
cana-5692	71	7	algorithms	algorithm	NOUN
cana-5692	71	8	to	to	PART
cana-5692	71	9	identify	identify	VERB
cana-5692	71	10	fraudulent	fraudulent	ADJ
cana-5692	71	11	engagement	engagement	NOUN
cana-5692	71	12	loops	loop	NOUN
cana-5692	71	13	in	in	ADP
cana-5692	71	14	online	online	ADJ
cana-5692	71	15	marketplaces	marketplace	NOUN
cana-5692	71	16	.	.	PUNCT
cana-5692	72	1	xu	xu	PROPN
cana-5692	72	2	et	et	PROPN
cana-5692	73	1	al	al	PROPN
cana-5692	73	2	.	.	PUNCT
cana-5692	74	1	[	[	X
cana-5692	74	2	13	13	NUM
cana-5692	74	3	]	]	PUNCT
cana-5692	74	4	combined	combine	VERB
cana-5692	74	5	graph	graph	NOUN
cana-5692	74	6	neural	neural	ADJ
cana-5692	74	7	networks	network	NOUN
cana-5692	74	8	(	(	PUNCT
cana-5692	74	9	gnns	gnns	NOUN
cana-5692	74	10	)	)	PUNCT
cana-5692	74	11	with	with	ADP
cana-5692	74	12	cycle	cycle	NOUN
cana-5692	74	13	detection	detection	NOUN
cana-5692	74	14	to	to	PART
cana-5692	74	15	improve	improve	VERB
cana-5692	74	16	fraud	fraud	NOUN
cana-5692	74	17	classification	classification	NOUN
cana-5692	74	18	.	.	PUNCT
cana-5692	75	1	g	g	NOUN
cana-5692	75	2	)	)	PUNCT
cana-5692	75	3	path	path	NOUN
cana-5692	75	4	-	-	PUNCT
cana-5692	75	5	based	base	VERB
cana-5692	75	6	gnns	gnns	NOUN
cana-5692	75	7	for	for	ADP
cana-5692	75	8	fraud	fraud	NOUN
cana-5692	75	9	detection	detection	NOUN
cana-5692	75	10	graph	graph	NOUN
cana-5692	75	11	neural	neural	ADJ
cana-5692	75	12	networks	network	NOUN
cana-5692	75	13	(	(	PUNCT
cana-5692	75	14	gnns	gnns	NOUN
cana-5692	75	15	)	)	PUNCT
cana-5692	75	16	have	have	AUX
cana-5692	75	17	revolutionized	revolutionize	VERB
cana-5692	75	18	fraud	fraud	NOUN
cana-5692	75	19	detection	detection	NOUN
cana-5692	75	20	by	by	ADP
cana-5692	75	21	learning	learn	VERB
cana-5692	75	22	path	path	NOUN
cana-5692	75	23	-	-	PUNCT
cana-5692	75	24	dependent	dependent	ADJ
cana-5692	75	25	representations	representation	NOUN
cana-5692	75	26	of	of	ADP
cana-5692	75	27	users	user	NOUN
cana-5692	75	28	.	.	PUNCT
cana-5692	76	1	kipf	kipf	PROPN
cana-5692	76	2	&	&	CCONJ
cana-5692	76	3	welling	well	VERB
cana-5692	76	4	[	[	X
cana-5692	76	5	14	14	NUM
cana-5692	76	6	]	]	PUNCT
cana-5692	76	7	introduced	introduce	VERB
cana-5692	76	8	graph	graph	NOUN
cana-5692	76	9	convolutional	convolutional	ADJ
cana-5692	76	10	networks	network	NOUN
cana-5692	76	11	(	(	PUNCT
cana-5692	76	12	gcns	gcns	PROPN
cana-5692	76	13	)	)	PUNCT
cana-5692	76	14	,	,	PUNCT
cana-5692	76	15	which	which	PRON
cana-5692	76	16	aggregate	aggregate	VERB
cana-5692	76	17	information	information	NOUN
cana-5692	76	18	from	from	ADP
cana-5692	76	19	neighboring	neighbor	VERB
cana-5692	76	20	nodes	node	NOUN
cana-5692	76	21	to	to	PART
cana-5692	76	22	detect	detect	VERB
cana-5692	76	23	anomalies	anomaly	NOUN
cana-5692	76	24	.	.	PUNCT
cana-5692	77	1	dou	dou	PROPN
cana-5692	77	2	et	et	PROPN
cana-5692	77	3	al	al	PROPN
cana-5692	77	4	.	.	PUNCT
cana-5692	78	1	[	[	X
cana-5692	78	2	15	15	NUM
cana-5692	78	3	]	]	PUNCT
cana-5692	78	4	proposed	propose	VERB
cana-5692	78	5	care	care	NOUN
cana-5692	78	6	-	-	PUNCT
cana-5692	78	7	gnn	gnn	PROPN
cana-5692	78	8	,	,	PUNCT
cana-5692	78	9	a	a	DET
cana-5692	78	10	context	context	NOUN
cana-5692	78	11	-	-	PUNCT
cana-5692	78	12	aware	aware	ADJ
cana-5692	78	13	model	model	NOUN
cana-5692	78	14	that	that	PRON
cana-5692	78	15	incorporates	incorporate	VERB
cana-5692	78	16	multi	multi	ADJ
cana-5692	78	17	-	-	ADJ
cana-5692	78	18	hop	hop	ADJ
cana-5692	78	19	paths	path	NOUN
cana-5692	78	20	to	to	PART
cana-5692	78	21	detect	detect	VERB
cana-5692	78	22	subtle	subtle	ADJ
cana-5692	78	23	fraudulent	fraudulent	ADJ
cana-5692	78	24	behaviors	behavior	NOUN
cana-5692	78	25	.	.	PUNCT
cana-5692	79	1	wang	wang	PROPN
cana-5692	79	2	et	et	PROPN
cana-5692	79	3	al	al	PROPN
cana-5692	79	4	.	.	PUNCT
cana-5692	80	1	[	[	X
cana-5692	80	2	16	16	NUM
cana-5692	80	3	]	]	PUNCT
cana-5692	80	4	developed	develop	VERB
cana-5692	80	5	a	a	DET
cana-5692	80	6	hybrid	hybrid	ADJ
cana-5692	80	7	gcnlstm	gcnlstm	NOUN
cana-5692	80	8	model	model	NOUN
cana-5692	80	9	,	,	PUNCT
cana-5692	80	10	combining	combine	VERB
cana-5692	80	11	structural	structural	ADJ
cana-5692	80	12	analysis	analysis	NOUN
cana-5692	80	13	and	and	CCONJ
cana-5692	80	14	temporal	temporal	ADJ
cana-5692	80	15	features	feature	NOUN
cana-5692	80	16	to	to	PART
cana-5692	80	17	improve	improve	VERB
cana-5692	80	18	fraud	fraud	NOUN
cana-5692	80	19	detection	detection	NOUN
cana-5692	80	20	in	in	ADP
cana-5692	80	21	dynamic	dynamic	ADJ
cana-5692	80	22	social	social	ADJ
cana-5692	80	23	networks	network	NOUN
cana-5692	80	24	.	.	PUNCT
cana-5692	81	1	iii	iii	X
cana-5692	81	2	.	.	PROPN
cana-5692	81	3	proposed	propose	VERB
cana-5692	81	4	system	system	NOUN
cana-5692	81	5	the	the	DET
cana-5692	81	6	growing	grow	VERB
cana-5692	81	7	prevalence	prevalence	NOUN
cana-5692	81	8	of	of	ADP
cana-5692	81	9	fraudulent	fraudulent	ADJ
cana-5692	81	10	activities	activity	NOUN
cana-5692	81	11	on	on	ADP
cana-5692	81	12	social	social	ADJ
cana-5692	81	13	media	medium	NOUN
cana-5692	81	14	—	—	PUNCT
cana-5692	81	15	such	such	ADJ
cana-5692	81	16	as	as	ADP
cana-5692	81	17	fake	fake	ADJ
cana-5692	81	18	accounts	account	NOUN
cana-5692	81	19	,	,	PUNCT
cana-5692	81	20	bot	bot	NOUN
cana-5692	81	21	-	-	PUNCT
cana-5692	81	22	driven	drive	VERB
cana-5692	81	23	interactions	interaction	NOUN
cana-5692	81	24	,	,	PUNCT
cana-5692	81	25	and	and	CCONJ
cana-5692	81	26	coordinated	coordinated	ADJ
cana-5692	81	27	misinformation	misinformation	NOUN
cana-5692	81	28	campaigns	campaign	NOUN
cana-5692	81	29	—	—	PUNCT
cana-5692	81	30	necessitates	necessitate	VERB
cana-5692	81	31	advanced	advanced	ADJ
cana-5692	81	32	detection	detection	NOUN
cana-5692	81	33	mechanisms	mechanism	NOUN
cana-5692	81	34	.	.	PUNCT
cana-5692	82	1	traditional	traditional	ADJ
cana-5692	82	2	fraud	fraud	NOUN
cana-5692	82	3	detection	detection	NOUN
cana-5692	82	4	models	model	NOUN
cana-5692	82	5	,	,	PUNCT
cana-5692	82	6	which	which	PRON
cana-5692	82	7	rely	rely	VERB
cana-5692	82	8	solely	solely	ADV
cana-5692	82	9	on	on	ADP
cana-5692	82	10	user	user	NOUN
cana-5692	82	11	behavior	behavior	NOUN
cana-5692	82	12	analysis	analysis	NOUN
cana-5692	82	13	,	,	PUNCT
cana-5692	82	14	struggle	struggle	VERB
cana-5692	82	15	to	to	PART
cana-5692	82	16	detect	detect	VERB
cana-5692	82	17	well	well	ADV
cana-5692	82	18	-	-	PUNCT
cana-5692	82	19	coordinated	coordinate	VERB
cana-5692	82	20	fraudulent	fraudulent	ADJ
cana-5692	82	21	activities	activity	NOUN
cana-5692	82	22	that	that	PRON
cana-5692	82	23	exploit	exploit	VERB
cana-5692	82	24	complex	complex	ADJ
cana-5692	82	25	network	network	NOUN
cana-5692	82	26	structures	structure	NOUN
cana-5692	82	27	.	.	PUNCT
cana-5692	83	1	our	our	PRON
cana-5692	83	2	proposed	propose	VERB
cana-5692	83	3	system	system	NOUN
cana-5692	83	4	employs	employ	VERB
cana-5692	83	5	a	a	DET
cana-5692	83	6	path	path	NOUN
cana-5692	83	7	-	-	PUNCT
cana-5692	83	8	based	base	VERB
cana-5692	83	9	fraud	fraud	NOUN
cana-5692	83	10	detection	detection	NOUN
cana-5692	83	11	approach	approach	NOUN
cana-5692	83	12	that	that	SCONJ
cana-5692	83	13	leverages	leverage	VERB
cana-5692	83	14	graph	graph	NOUN
cana-5692	83	15	theory	theory	NOUN
cana-5692	83	16	and	and	CCONJ
cana-5692	83	17	deep	deep	ADJ
cana-5692	83	18	learning	learning	NOUN
cana-5692	83	19	to	to	PART
cana-5692	83	20	analyze	analyze	VERB
cana-5692	83	21	relationships	relationship	NOUN
cana-5692	83	22	between	between	ADP
cana-5692	83	23	users	user	NOUN
cana-5692	83	24	,	,	PUNCT
cana-5692	83	25	interactions	interaction	NOUN
cana-5692	83	26	,	,	PUNCT
cana-5692	83	27	and	and	CCONJ
cana-5692	83	28	content	content	NOUN
cana-5692	83	29	.	.	PUNCT
cana-5692	84	1	by	by	ADP
cana-5692	84	2	representing	represent	VERB
cana-5692	84	3	social	social	ADJ
cana-5692	84	4	media	medium	NOUN
cana-5692	84	5	networks	network	NOUN
cana-5692	84	6	as	as	ADP
cana-5692	84	7	heterogeneous	heterogeneous	ADJ
cana-5692	84	8	graphs	graph	NOUN
cana-5692	84	9	,	,	PUNCT
cana-5692	84	10	the	the	DET
cana-5692	84	11	system	system	NOUN
cana-5692	84	12	applies	apply	VERB
cana-5692	84	13	graph	graph	NOUN
cana-5692	84	14	neural	neural	ADJ
cana-5692	84	15	networks	network	NOUN
cana-5692	84	16	(	(	PUNCT
cana-5692	84	17	gnns	gnns	NOUN
cana-5692	84	18	)	)	PUNCT
cana-5692	84	19	and	and	CCONJ
cana-5692	84	20	meta	meta	ADJ
cana-5692	84	21	-	-	PUNCT
cana-5692	84	22	path	path	NOUN
cana-5692	84	23	analysis	analysis	NOUN
cana-5692	84	24	to	to	PART
cana-5692	84	25	identify	identify	VERB
cana-5692	84	26	fraudulent	fraudulent	ADJ
cana-5692	84	27	patterns	pattern	NOUN
cana-5692	84	28	across	across	ADP
cana-5692	84	29	multiple	multiple	ADJ
cana-5692	84	30	levels	level	NOUN
cana-5692	84	31	of	of	ADP
cana-5692	84	32	interaction	interaction	NOUN
cana-5692	84	33	a	a	DET
cana-5692	84	34	)	)	PUNCT
cana-5692	84	35	graph	graph	NOUN
cana-5692	84	36	representation	representation	NOUN
cana-5692	84	37	of	of	ADP
cana-5692	84	38	social	social	ADJ
cana-5692	84	39	media	medium	NOUN
cana-5692	84	40	networks	network	NOUN
cana-5692	84	41	we	we	PRON
cana-5692	84	42	represent	represent	VERB
cana-5692	84	43	the	the	DET
cana-5692	84	44	social	social	ADJ
cana-5692	84	45	media	media	NOUN
cana-5692	84	46	network	network	NOUN
cana-5692	84	47	as	as	ADP
cana-5692	84	48	a	a	DET
cana-5692	84	49	heterogeneous	heterogeneous	ADJ
cana-5692	84	50	graph	graph	NOUN
cana-5692	84	51	g	g	PROPN
cana-5692	84	52	=	=	SYM
cana-5692	84	53	(	(	PUNCT
cana-5692	84	54	v	v	NOUN
cana-5692	84	55	,	,	PUNCT
cana-5692	84	56	e	e	NOUN
cana-5692	84	57	)	)	PUNCT
cana-5692	84	58	,	,	PUNCT
cana-5692	84	59	where	where	SCONJ
cana-5692	84	60	v	v	NOUN
cana-5692	84	61	is	be	AUX
cana-5692	84	62	the	the	DET
cana-5692	84	63	set	set	NOUN
cana-5692	84	64	of	of	ADP
cana-5692	84	65	nodes	node	NOUN
cana-5692	84	66	representing	represent	VERB
cana-5692	84	67	users	user	NOUN
cana-5692	84	68	,	,	PUNCT
cana-5692	84	69	posts	post	NOUN
cana-5692	84	70	,	,	PUNCT
cana-5692	84	71	and	and	CCONJ
cana-5692	84	72	interactions	interaction	NOUN
cana-5692	84	73	.	.	PUNCT
cana-5692	85	1	•	•	NUM
cana-5692	85	2	e	e	NOUN
cana-5692	85	3	is	be	AUX
cana-5692	85	4	the	the	DET
cana-5692	85	5	set	set	NOUN
cana-5692	85	6	of	of	ADP
cana-5692	85	7	directed	direct	VERB
cana-5692	85	8	edges	edge	NOUN
cana-5692	85	9	representing	represent	VERB
cana-5692	85	10	relationships	relationship	NOUN
cana-5692	85	11	(	(	PUNCT
cana-5692	85	12	e.g.	e.g.	ADV
cana-5692	85	13	,	,	PUNCT
cana-5692	85	14	follows	follow	VERB
cana-5692	85	15	,	,	PUNCT
cana-5692	85	16	likes	like	NOUN
cana-5692	85	17	,	,	PUNCT
cana-5692	85	18	comments	comment	NOUN
cana-5692	85	19	)	)	PUNCT
cana-5692	85	20	.	.	PUNCT
cana-5692	86	1	each	each	DET
cana-5692	86	2	edge	edge	NOUN
cana-5692	86	3	(	(	PUNCT
cana-5692	86	4	vi	vi	NOUN
cana-5692	86	5	,	,	PUNCT
cana-5692	86	6	vj	vj	ADJ
cana-5692	86	7	)	)	PUNCT
cana-5692	86	8	∈	∈	PROPN
cana-5692	86	9	e	e	NOUN
cana-5692	86	10	is	be	AUX
cana-5692	86	11	assigned	assign	VERB
cana-5692	86	12	a	a	DET
cana-5692	86	13	weight	weight	NOUN
cana-5692	86	14	wij	wij	NOUN
cana-5692	86	15	based	base	VERB
cana-5692	86	16	on	on	ADP
cana-5692	86	17	interaction	interaction	NOUN
cana-5692	86	18	strength	strength	NOUN
cana-5692	86	19	the	the	DET
cana-5692	86	20	adjacency	adjacency	NOUN
cana-5692	86	21	matrix	matrix	NOUN
cana-5692	86	22	of	of	ADP
cana-5692	86	23	the	the	DET
cana-5692	86	24	graph	graph	NOUN
cana-5692	86	25	is	be	AUX
cana-5692	86	26	defined	define	VERB
cana-5692	86	27	as	as	ADP
cana-5692	86	28	…	…	PUNCT
cana-5692	86	29	…	…	PUNCT
cana-5692	86	30	.	.	PUNCT
cana-5692	87	1	(	(	PUNCT
cana-5692	87	2	1	1	X
cana-5692	87	3	)	)	SYM
cana-5692	87	4	b	b	NOUN
cana-5692	87	5	)	)	PUNCT
cana-5692	87	6	meta	meta	ADJ
cana-5692	87	7	-	-	PUNCT
cana-5692	87	8	path	path	NOUN
cana-5692	87	9	based	base	VERB
cana-5692	87	10	fraud	fraud	NOUN
cana-5692	87	11	detection	detection	NOUN
cana-5692	87	12	a	a	DET
cana-5692	87	13	meta	meta	ADJ
cana-5692	87	14	-	-	PUNCT
cana-5692	87	15	path	path	NOUN
cana-5692	87	16	is	be	AUX
cana-5692	87	17	defined	define	VERB
cana-5692	87	18	as	as	ADP
cana-5692	87	19	a	a	DET
cana-5692	87	20	sequence	sequence	NOUN
cana-5692	87	21	of	of	ADP
cana-5692	87	22	node	node	ADJ
cana-5692	87	23	types	type	NOUN
cana-5692	87	24	and	and	CCONJ
cana-5692	87	25	edge	edge	NOUN
cana-5692	87	26	types	type	NOUN
cana-5692	87	27	in	in	ADP
cana-5692	87	28	the	the	DET
cana-5692	87	29	heterogeneous	heterogeneous	ADJ
cana-5692	87	30	graph	graph	NOUN
cana-5692	87	31	.	.	PUNCT
cana-5692	88	1	a	a	DET
cana-5692	88	2	typical	typical	ADJ
cana-5692	88	3	fraud	fraud	NOUN
cana-5692	88	4	detection	detection	NOUN
cana-5692	88	5	meta	meta	ADJ
cana-5692	88	6	-	-	PUNCT
cana-5692	88	7	path	path	NOUN
cana-5692	88	8	is	be	AUX
cana-5692	88	9	:	:	PUNCT
cana-5692	88	10	u−−−−−→u−−−−−−−→p−−−−−→u	u−−−−−→u−−−−−−−→p−−−−−→u	ADJ
cana-5692	88	11	.........	.........	PUNCT
cana-5692	89	1	(	(	PUNCT
cana-5692	89	2	2	2	X
cana-5692	89	3	)	)	PUNCT
cana-5692	89	4	where	where	SCONJ
cana-5692	89	5	u	u	PRON
cana-5692	89	6	represents	represent	VERB
cana-5692	89	7	users	user	NOUN
cana-5692	89	8	and	and	CCONJ
cana-5692	89	9	p	p	NOUN
cana-5692	89	10	represents	represent	VERB
cana-5692	89	11	posts	post	NOUN
cana-5692	89	12	.	.	PUNCT
cana-5692	90	1	the	the	DET
cana-5692	90	2	fraud	fraud	NOUN
cana-5692	90	3	score	score	NOUN
cana-5692	90	4	of	of	ADP
cana-5692	90	5	a	a	DET
cana-5692	90	6	user	user	NOUN
cana-5692	90	7	u	u	NOUN
cana-5692	90	8	is	be	AUX
cana-5692	90	9	computed	compute	VERB
cana-5692	90	10	as	as	ADP
cana-5692	90	11	…	…	PUNCT
cana-5692	90	12	…	…	PUNCT
cana-5692	90	13	(	(	PUNCT
cana-5692	90	14	2	2	NUM
cana-5692	90	15	)	)	PUNCT
cana-5692	90	16	where	where	SCONJ
cana-5692	90	17	au	au	ADP
cana-5692	90	18	,	,	PUNCT
cana-5692	90	19	p	p	PRON
cana-5692	90	20	represents	represent	VERB
cana-5692	90	21	interactions	interaction	NOUN
cana-5692	90	22	between	between	ADP
cana-5692	90	23	users	user	NOUN
cana-5692	90	24	and	and	CCONJ
cana-5692	90	25	posts	post	NOUN
cana-5692	90	26	c.graph	c.graph	NOUN
cana-5692	90	27	neural	neural	ADJ
cana-5692	90	28	network	network	NOUN
cana-5692	90	29	(	(	PUNCT
cana-5692	90	30	gnn)-based	gnn)-base	VERB
cana-5692	90	31	fraud	fraud	NOUN
cana-5692	90	32	classification	classification	NOUN
cana-5692	90	33	we	we	PRON
cana-5692	90	34	use	use	VERB
cana-5692	90	35	a	a	DET
cana-5692	90	36	graph	graph	NOUN
cana-5692	90	37	convolutional	convolutional	ADJ
cana-5692	90	38	network	network	NOUN
cana-5692	90	39	(	(	PUNCT
cana-5692	90	40	gcn	gcn	NOUN
cana-5692	90	41	)	)	PUNCT
cana-5692	90	42	to	to	PART
cana-5692	90	43	learn	learn	VERB
cana-5692	90	44	node	node	ADJ
cana-5692	90	45	representations	representation	NOUN
cana-5692	90	46	.	.	PUNCT
cana-5692	91	1	the	the	DET
cana-5692	91	2	node	node	ADJ
cana-5692	91	3	update	update	NOUN
cana-5692	91	4	rule	rule	NOUN
cana-5692	91	5	is	be	AUX
cana-5692	91	6	:	:	PUNCT
cana-5692	91	7	…	…	PUNCT
cana-5692	91	8	.(3	.(3	NOUN
cana-5692	91	9	)	)	PUNCT
cana-5692	91	10	where	where	SCONJ
cana-5692	91	11	:	:	PUNCT
cana-5692	91	12	aˆ	aˆ	NOUN
cana-5692	91	13	=	=	PUNCT
cana-5692	91	14	a	a	PROPN
cana-5692	92	1	+	+	NOUN
cana-5692	92	2	i	i	PRON
cana-5692	92	3	(	(	PUNCT
cana-5692	92	4	adjacency	adjacency	NOUN
cana-5692	92	5	matrix	matrix	NOUN
cana-5692	92	6	with	with	ADP
cana-5692	92	7	self	self	NOUN
cana-5692	92	8	-	-	PUNCT
cana-5692	92	9	loops	loop	NOUN
cana-5692	92	10	)	)	PUNCT
cana-5692	92	11	communications	communication	NOUN
cana-5692	92	12	on	on	ADP
cana-5692	92	13	applied	apply	VERB
cana-5692	92	14	nonlinear	nonlinear	ADJ
cana-5692	92	15	analysis	analysis	NOUN
cana-5692	92	16	issn	issn	NOUN
cana-5692	92	17	:	:	PUNCT
cana-5692	92	18	1074	1074	NUM
cana-5692	92	19	-	-	PUNCT
cana-5692	92	20	133x	133x	NUM
cana-5692	92	21	vol	vol	NOUN
cana-5692	92	22	32	32	NUM
cana-5692	92	23	no	no	NOUN
cana-5692	92	24	.	.	PUNCT
cana-5692	93	1	4s	4s	NUM
cana-5692	93	2	(	(	PUNCT
cana-5692	93	3	2025	2025	NUM
cana-5692	93	4	)	)	PUNCT
cana-5692	93	5	734	734	NUM
cana-5692	93	6	https://internationalpubls.co	https://internationalpubls.co	NOUN
cana-5692	93	7	m	m	PRON
cana-5692	93	8	ˆd	ˆd	NOUN
cana-5692	93	9	is	be	AUX
cana-5692	93	10	the	the	DET
cana-5692	93	11	degree	degree	NOUN
cana-5692	93	12	matrix	matrix	NOUN
cana-5692	93	13	of	of	ADP
cana-5692	93	14	aˆ	aˆ	PROPN
cana-5692	93	15	σ	σ	PROPN
cana-5692	93	16	h(l	h(l	PROPN
cana-5692	93	17	)	)	PUNCT
cana-5692	93	18	is	be	AUX
cana-5692	93	19	the	the	DET
cana-5692	93	20	feature	feature	NOUN
cana-5692	93	21	matrix	matrix	NOUN
cana-5692	93	22	at	at	ADP
cana-5692	93	23	layer	layer	NOUN
cana-5692	93	24	w(l	w(l	PROPN
cana-5692	93	25	)	)	PUNCT
cana-5692	94	1	is	be	AUX
cana-5692	94	2	the	the	DET
cana-5692	94	3	trainable	trainable	ADJ
cana-5692	94	4	weight	weight	NOUN
cana-5692	94	5	matrix	matrix	NOUN
cana-5692	94	6	is	be	AUX
cana-5692	94	7	the	the	DET
cana-5692	94	8	activation	activation	NOUN
cana-5692	94	9	function	function	NOUN
cana-5692	94	10	(	(	PUNCT
cana-5692	94	11	relu	relu	NOUN
cana-5692	94	12	)	)	PUNCT
cana-5692	94	13	a	a	DET
cana-5692	94	14	softmax	softmax	NOUN
cana-5692	94	15	function	function	NOUN
cana-5692	94	16	is	be	AUX
cana-5692	94	17	applied	apply	VERB
cana-5692	94	18	to	to	PART
cana-5692	94	19	classify	classify	VERB
cana-5692	94	20	nodes	node	NOUN
cana-5692	94	21	as	as	ADP
cana-5692	94	22	fraudulent	fraudulent	ADJ
cana-5692	94	23	or	or	CCONJ
cana-5692	94	24	legitimate	legitimate	ADJ
cana-5692	94	25	:	:	PUNCT
cana-5692	94	26	…	…	PUNCT
cana-5692	94	27	(	(	PUNCT
cana-5692	94	28	4	4	X
cana-5692	94	29	)	)	PUNCT
cana-5692	94	30	fraud	fraud	NOUN
cana-5692	94	31	prevention	prevention	NOUN
cana-5692	94	32	and	and	CCONJ
cana-5692	94	33	alert	alert	NOUN
cana-5692	94	34	system	system	NOUN
cana-5692	94	35	once	once	SCONJ
cana-5692	94	36	fraud	fraud	NOUN
cana-5692	94	37	likelihood	likelihood	NOUN
cana-5692	94	38	scores	score	NOUN
cana-5692	94	39	are	be	AUX
cana-5692	94	40	computed	compute	VERB
cana-5692	94	41	,	,	PUNCT
cana-5692	94	42	the	the	DET
cana-5692	94	43	system	system	NOUN
cana-5692	94	44	applies	apply	VERB
cana-5692	94	45	thresholdbased	thresholdbase	VERB
cana-5692	94	46	classification	classification	NOUN
cana-5692	94	47	fraud	fraud	NOUN
cana-5692	94	48	score	score	NOUN
cana-5692	95	1	=	=	NOUN
cana-5692	95	2	s(u)/	s(u)/	NOUN
cana-5692	95	3	max(s(u	max(s(u	NOUN
cana-5692	95	4	)	)	PUNCT
cana-5692	95	5	a	a	DET
cana-5692	95	6	fraud	fraud	NOUN
cana-5692	95	7	score	score	NOUN
cana-5692	95	8	above	above	ADP
cana-5692	95	9	0.8	0.8	NUM
cana-5692	95	10	triggers	trigger	NOUN
cana-5692	95	11	an	an	DET
cana-5692	95	12	alert	alert	ADJ
cana-5692	95	13	and	and	CCONJ
cana-5692	95	14	account	account	NOUN
cana-5692	95	15	suspension	suspension	NOUN
cana-5692	95	16	.	.	PUNCT
cana-5692	95	17	)	)	PUNCT
cana-5692	96	1	iv	iv	X
cana-5692	96	2	.	.	PUNCT
cana-5692	96	3	methdology	methdology	PROPN
cana-5692	96	4	the	the	DET
cana-5692	96	5	pc	pc	NOUN
cana-5692	96	6	-	-	PUNCT
cana-5692	96	7	gnn	gnn	NOUN
cana-5692	96	8	(	(	PUNCT
cana-5692	96	9	propagation	propagation	NOUN
cana-5692	96	10	-	-	PUNCT
cana-5692	96	11	confidence	confidence	NOUN
cana-5692	96	12	graph	graph	NOUN
cana-5692	96	13	neural	neural	ADJ
cana-5692	96	14	network	network	NOUN
cana-5692	96	15	)	)	PUNCT
cana-5692	96	16	model	model	NOUN
cana-5692	96	17	is	be	AUX
cana-5692	96	18	an	an	DET
cana-5692	96	19	advanced	advanced	ADJ
cana-5692	96	20	graph	graph	NOUN
cana-5692	96	21	-	-	PUNCT
cana-5692	96	22	based	base	VERB
cana-5692	96	23	deep	deep	ADJ
cana-5692	96	24	learning	learning	NOUN
cana-5692	96	25	approach	approach	NOUN
cana-5692	96	26	for	for	ADP
cana-5692	96	27	detecting	detect	VERB
cana-5692	96	28	fraud	fraud	NOUN
cana-5692	96	29	in	in	ADP
cana-5692	96	30	social	social	ADJ
cana-5692	96	31	media	medium	NOUN
cana-5692	96	32	networks	network	NOUN
cana-5692	96	33	.	.	PUNCT
cana-5692	97	1	it	it	PRON
cana-5692	97	2	effectively	effectively	ADV
cana-5692	97	3	captures	capture	VERB
cana-5692	97	4	both	both	DET
cana-5692	97	5	structural	structural	ADJ
cana-5692	97	6	and	and	CCONJ
cana-5692	97	7	feature	feature	NOUN
cana-5692	97	8	-	-	PUNCT
cana-5692	97	9	based	base	VERB
cana-5692	97	10	anomalies	anomaly	NOUN
cana-5692	97	11	by	by	ADP
cana-5692	97	12	leveraging	leverage	VERB
cana-5692	97	13	graph	graph	NOUN
cana-5692	97	14	propagation	propagation	NOUN
cana-5692	97	15	and	and	CCONJ
cana-5692	97	16	confidence	confidence	NOUN
cana-5692	97	17	-	-	PUNCT
cana-5692	97	18	aware	aware	ADJ
cana-5692	97	19	learning	learning	NOUN
cana-5692	97	20	mechanisms	mechanism	NOUN
cana-5692	97	21	.	.	PUNCT
cana-5692	98	1	a	a	DET
cana-5692	98	2	)	)	PUNCT
cana-5692	98	3	data	data	NOUN
cana-5692	98	4	collection	collection	NOUN
cana-5692	98	5	:	:	PUNCT
cana-5692	98	6	data	datum	NOUN
cana-5692	98	7	is	be	AUX
cana-5692	98	8	gathered	gather	VERB
cana-5692	98	9	from	from	ADP
cana-5692	98	10	multiple	multiple	ADJ
cana-5692	98	11	sources	source	NOUN
cana-5692	98	12	within	within	ADP
cana-5692	98	13	a	a	DET
cana-5692	98	14	social	social	ADJ
cana-5692	98	15	media	medium	NOUN
cana-5692	98	16	platform	platform	NOUN
cana-5692	98	17	to	to	PART
cana-5692	98	18	construct	construct	VERB
cana-5692	98	19	a	a	DET
cana-5692	98	20	heterogeneous	heterogeneous	ADJ
cana-5692	98	21	graph	graph	NOUN
cana-5692	98	22	.	.	PUNCT
cana-5692	99	1	the	the	DET
cana-5692	99	2	key	key	ADJ
cana-5692	99	3	types	type	NOUN
cana-5692	99	4	of	of	ADP
cana-5692	99	5	data	datum	NOUN
cana-5692	99	6	collected	collect	VERB
cana-5692	99	7	include	include	VERB
cana-5692	99	8	username	username	PROPN
cana-5692	99	9	,	,	PUNCT
cana-5692	99	10	bio	bio	NOUN
cana-5692	99	11	,	,	PUNCT
cana-5692	99	12	profile	profile	NOUN
cana-5692	99	13	picture	picture	NOUN
cana-5692	99	14	status	status	NOUN
cana-5692	99	15	(	(	PUNCT
cana-5692	99	16	default	default	NOUN
cana-5692	99	17	/	/	SYM
cana-5692	99	18	custom	custom	NOUN
cana-5692	99	19	)	)	PUNCT
cana-5692	99	20	.	.	PUNCT
cana-5692	100	1	account	account	NOUN
cana-5692	100	2	age	age	NOUN
cana-5692	100	3	,	,	PUNCT
cana-5692	100	4	verification	verification	NOUN
cana-5692	100	5	status	status	NOUN
cana-5692	100	6	,	,	PUNCT
cana-5692	100	7	follower	follower	NOUN
cana-5692	100	8	count	count	NOUN
cana-5692	100	9	.	.	PUNCT
cana-5692	101	1	activity	activity	NOUN
cana-5692	101	2	logs	log	NOUN
cana-5692	101	3	(	(	PUNCT
cana-5692	101	4	e.g.	e.g.	ADV
cana-5692	101	5	,	,	PUNCT
cana-5692	101	6	last	last	ADJ
cana-5692	101	7	login	login	NOUN
cana-5692	101	8	,	,	PUNCT
cana-5692	101	9	posting	post	VERB
cana-5692	101	10	frequency	frequency	NOUN
cana-5692	101	11	)	)	PUNCT
cana-5692	101	12	.	.	PUNCT
cana-5692	102	1	b	b	X
cana-5692	102	2	)	)	PUNCT
cana-5692	102	3	preprocessing	preprocesse	VERB
cana-5692	102	4	once	once	ADV
cana-5692	102	5	data	datum	NOUN
cana-5692	102	6	is	be	AUX
cana-5692	102	7	collected	collect	VERB
cana-5692	102	8	from	from	ADP
cana-5692	102	9	social	social	ADJ
cana-5692	102	10	media	medium	NOUN
cana-5692	102	11	platforms	platform	NOUN
cana-5692	102	12	,	,	PUNCT
cana-5692	102	13	data	datum	NOUN
cana-5692	102	14	preprocessing	preprocessing	NOUN
cana-5692	102	15	ensures	ensure	NOUN
cana-5692	102	16	it	it	PRON
cana-5692	102	17	is	be	AUX
cana-5692	102	18	structured	structure	VERB
cana-5692	102	19	,	,	PUNCT
cana-5692	102	20	clean	clean	ADJ
cana-5692	102	21	,	,	PUNCT
cana-5692	102	22	and	and	CCONJ
cana-5692	102	23	ready	ready	ADJ
cana-5692	102	24	for	for	ADP
cana-5692	102	25	graph	graph	NOUN
cana-5692	102	26	-	-	PUNCT
cana-5692	102	27	based	base	VERB
cana-5692	102	28	modeling	modeling	NOUN
cana-5692	102	29	.	.	PUNCT
cana-5692	103	1	this	this	DET
cana-5692	103	2	step	step	NOUN
cana-5692	103	3	is	be	AUX
cana-5692	103	4	crucial	crucial	ADJ
cana-5692	103	5	for	for	ADP
cana-5692	103	6	improving	improve	VERB
cana-5692	103	7	model	model	NOUN
cana-5692	103	8	accuracy	accuracy	NOUN
cana-5692	103	9	and	and	CCONJ
cana-5692	103	10	efficiency	efficiency	NOUN
cana-5692	103	11	.	.	PUNCT
cana-5692	104	1	c	c	X
cana-5692	104	2	)	)	PUNCT
cana-5692	104	3	graph	graph	NOUN
cana-5692	104	4	construction	construction	NOUN
cana-5692	104	5	to	to	PART
cana-5692	104	6	construct	construct	VERB
cana-5692	104	7	a	a	DET
cana-5692	104	8	heterogeneous	heterogeneous	ADJ
cana-5692	104	9	graph	graph	NOUN
cana-5692	104	10	for	for	ADP
cana-5692	104	11	pc	pc	NOUN
cana-5692	104	12	-	-	PUNCT
cana-5692	104	13	gnn	gnn	NOUN
cana-5692	104	14	-	-	PUNCT
cana-5692	104	15	based	base	VERB
cana-5692	104	16	fraud	fraud	NOUN
cana-5692	104	17	detection	detection	NOUN
cana-5692	104	18	in	in	ADP
cana-5692	104	19	social	social	ADJ
cana-5692	104	20	media	medium	NOUN
cana-5692	104	21	networks	network	NOUN
cana-5692	104	22	,	,	PUNCT
cana-5692	104	23	it	it	PRON
cana-5692	104	24	is	be	AUX
cana-5692	104	25	essential	essential	ADJ
cana-5692	104	26	to	to	PART
cana-5692	104	27	define	define	VERB
cana-5692	104	28	the	the	DET
cana-5692	104	29	different	different	ADJ
cana-5692	104	30	entities	entity	NOUN
cana-5692	104	31	and	and	CCONJ
cana-5692	104	32	their	their	PRON
cana-5692	104	33	relationships	relationship	NOUN
cana-5692	104	34	within	within	ADP
cana-5692	104	35	the	the	DET
cana-5692	104	36	platform	platform	NOUN
cana-5692	104	37	.	.	PUNCT
cana-5692	105	1	the	the	DET
cana-5692	105	2	graph	graph	NOUN
cana-5692	105	3	consists	consist	VERB
cana-5692	105	4	of	of	ADP
cana-5692	105	5	multiple	multiple	ADJ
cana-5692	105	6	nodes	node	NOUN
cana-5692	105	7	,	,	PUNCT
cana-5692	105	8	including	include	VERB
cana-5692	105	9	users	user	NOUN
cana-5692	105	10	,	,	PUNCT
cana-5692	105	11	posts	post	NOUN
cana-5692	105	12	,	,	PUNCT
cana-5692	105	13	comments	comment	NOUN
cana-5692	105	14	,	,	PUNCT
cana-5692	105	15	and	and	CCONJ
cana-5692	105	16	groups	group	NOUN
cana-5692	105	17	,	,	PUNCT
cana-5692	105	18	each	each	PRON
cana-5692	105	19	representing	represent	VERB
cana-5692	105	20	a	a	DET
cana-5692	105	21	key	key	ADJ
cana-5692	105	22	component	component	NOUN
cana-5692	105	23	of	of	ADP
cana-5692	105	24	social	social	ADJ
cana-5692	105	25	interactions	interaction	NOUN
cana-5692	105	26	.	.	PUNCT
cana-5692	106	1	the	the	DET
cana-5692	106	2	edges	edge	NOUN
cana-5692	106	3	between	between	ADP
cana-5692	106	4	these	these	DET
cana-5692	106	5	nodes	node	NOUN
cana-5692	106	6	capture	capture	VERB
cana-5692	106	7	various	various	ADJ
cana-5692	106	8	types	type	NOUN
cana-5692	106	9	of	of	ADP
cana-5692	106	10	relationships	relationship	NOUN
cana-5692	106	11	,	,	PUNCT
cana-5692	106	12	such	such	ADJ
cana-5692	106	13	as	as	ADP
cana-5692	106	14	user	user	NOUN
cana-5692	106	15	-	-	PUNCT
cana-5692	106	16	to	to	ADP
cana-5692	106	17	-	-	PUNCT
cana-5692	106	18	user	user	NOUN
cana-5692	106	19	connections	connection	NOUN
cana-5692	106	20	(	(	PUNCT
cana-5692	106	21	friendships	friendship	NOUN
cana-5692	106	22	,	,	PUNCT
cana-5692	106	23	follows	follow	VERB
cana-5692	106	24	,	,	PUNCT
cana-5692	106	25	and	and	CCONJ
cana-5692	106	26	direct	direct	ADJ
cana-5692	106	27	messages	message	NOUN
cana-5692	106	28	)	)	PUNCT
cana-5692	106	29	,	,	PUNCT
cana-5692	106	30	user	user	NOUN
cana-5692	106	31	-	-	PUNCT
cana-5692	106	32	to	to	ADP
cana-5692	106	33	-	-	PUNCT
cana-5692	106	34	content	content	NOUN
cana-5692	106	35	interactions	interaction	NOUN
cana-5692	106	36	(	(	PUNCT
cana-5692	106	37	likes	like	NOUN
cana-5692	106	38	,	,	PUNCT
cana-5692	106	39	shares	share	NOUN
cana-5692	106	40	,	,	PUNCT
cana-5692	106	41	and	and	CCONJ
cana-5692	106	42	comments	comment	NOUN
cana-5692	106	43	)	)	PUNCT
cana-5692	106	44	,	,	PUNCT
cana-5692	106	45	and	and	CCONJ
cana-5692	106	46	content	content	NOUN
cana-5692	106	47	-	-	PUNCT
cana-5692	106	48	to	to	ADP
cana-5692	106	49	-	-	PUNCT
cana-5692	106	50	content	content	NOUN
cana-5692	106	51	links	link	NOUN
cana-5692	106	52	(	(	PUNCT
cana-5692	106	53	shared	share	VERB
cana-5692	106	54	posts	post	NOUN
cana-5692	106	55	and	and	CCONJ
cana-5692	106	56	comment	comment	NOUN
cana-5692	106	57	replies	reply	NOUN
cana-5692	106	58	)	)	PUNCT
cana-5692	106	59	.	.	PUNCT
cana-5692	107	1	these	these	DET
cana-5692	107	2	relationships	relationship	NOUN
cana-5692	107	3	help	help	AUX
cana-5692	107	4	uncover	uncover	VERB
cana-5692	107	5	suspicious	suspicious	ADJ
cana-5692	107	6	behaviors	behavior	NOUN
cana-5692	107	7	,	,	PUNCT
cana-5692	107	8	such	such	ADJ
cana-5692	107	9	as	as	ADP
cana-5692	107	10	coordinated	coordinate	VERB
cana-5692	107	11	fraudulent	fraudulent	ADJ
cana-5692	107	12	activities	activity	NOUN
cana-5692	107	13	or	or	CCONJ
cana-5692	107	14	bot	bot	NOUN
cana-5692	107	15	networks	network	NOUN
cana-5692	107	16	,	,	PUNCT
cana-5692	107	17	by	by	ADP
cana-5692	107	18	analyzing	analyze	VERB
cana-5692	107	19	how	how	SCONJ
cana-5692	107	20	users	user	NOUN
cana-5692	107	21	and	and	CCONJ
cana-5692	107	22	content	content	NOUN
cana-5692	107	23	interact	interact	VERB
cana-5692	107	24	across	across	ADP
cana-5692	107	25	the	the	DET
cana-5692	107	26	platform	platform	NOUN
cana-5692	107	27	.	.	PUNCT
cana-5692	108	1	when	when	SCONJ
cana-5692	108	2	it	it	PRON
cana-5692	108	3	comes	come	VERB
cana-5692	108	4	to	to	ADP
cana-5692	108	5	graph	graph	NOUN
cana-5692	108	6	storage	storage	NOUN
cana-5692	108	7	,	,	PUNCT
cana-5692	108	8	different	different	ADJ
cana-5692	108	9	methods	method	NOUN
cana-5692	108	10	are	be	AUX
cana-5692	108	11	used	use	VERB
cana-5692	108	12	based	base	VERB
cana-5692	108	13	on	on	ADP
cana-5692	108	14	the	the	DET
cana-5692	108	15	scale	scale	NOUN
cana-5692	108	16	and	and	CCONJ
cana-5692	108	17	complexity	complexity	NOUN
cana-5692	108	18	of	of	ADP
cana-5692	108	19	the	the	DET
cana-5692	108	20	dataset	dataset	NOUN
cana-5692	108	21	.	.	PUNCT
cana-5692	109	1	for	for	ADP
cana-5692	109	2	smaller	small	ADJ
cana-5692	109	3	datasets	dataset	NOUN
cana-5692	109	4	,	,	PUNCT
cana-5692	109	5	an	an	DET
cana-5692	109	6	adjacency	adjacency	NOUN
cana-5692	109	7	matrix	matrix	NOUN
cana-5692	109	8	provides	provide	VERB
cana-5692	109	9	a	a	DET
cana-5692	109	10	structured	structured	ADJ
cana-5692	109	11	way	way	NOUN
cana-5692	109	12	to	to	PART
cana-5692	109	13	store	store	VERB
cana-5692	109	14	relationships	relationship	NOUN
cana-5692	109	15	,	,	PUNCT
cana-5692	109	16	where	where	SCONJ
cana-5692	109	17	each	each	DET
cana-5692	109	18	row	row	NOUN
cana-5692	109	19	and	and	CCONJ
cana-5692	109	20	column	column	NOUN
cana-5692	109	21	correspond	correspond	VERB
cana-5692	109	22	to	to	ADP
cana-5692	109	23	a	a	DET
cana-5692	109	24	node	node	NOUN
cana-5692	109	25	,	,	PUNCT
cana-5692	109	26	and	and	CCONJ
cana-5692	109	27	values	value	NOUN
cana-5692	109	28	indicate	indicate	VERB
cana-5692	109	29	connections	connection	NOUN
cana-5692	109	30	.	.	PUNCT
cana-5692	110	1	however	however	ADV
cana-5692	110	2	,	,	PUNCT
cana-5692	110	3	as	as	SCONJ
cana-5692	110	4	social	social	ADJ
cana-5692	110	5	media	medium	NOUN
cana-5692	110	6	networks	network	NOUN
cana-5692	110	7	involve	involve	VERB
cana-5692	110	8	millions	million	NOUN
cana-5692	110	9	of	of	ADP
cana-5692	110	10	users	user	NOUN
cana-5692	110	11	and	and	CCONJ
cana-5692	110	12	interactions	interaction	NOUN
cana-5692	110	13	,	,	PUNCT
cana-5692	110	14	this	this	DET
cana-5692	110	15	approach	approach	NOUN
cana-5692	110	16	becomes	become	VERB
cana-5692	110	17	inefficient	inefficient	ADJ
cana-5692	110	18	due	due	ADP
cana-5692	110	19	to	to	ADP
cana-5692	110	20	high	high	ADJ
cana-5692	110	21	memory	memory	NOUN
cana-5692	110	22	requirements	requirement	NOUN
cana-5692	110	23	.	.	PUNCT
cana-5692	111	1	a	a	DET
cana-5692	111	2	more	more	ADV
cana-5692	111	3	scalable	scalable	ADJ
cana-5692	111	4	alternative	alternative	NOUN
cana-5692	111	5	is	be	AUX
cana-5692	111	6	the	the	DET
cana-5692	111	7	edge	edge	NOUN
cana-5692	111	8	list	list	NOUN
cana-5692	111	9	,	,	PUNCT
cana-5692	111	10	which	which	PRON
cana-5692	111	11	stores	store	VERB
cana-5692	111	12	only	only	ADV
cana-5692	111	13	the	the	DET
cana-5692	111	14	direct	direct	ADJ
cana-5692	111	15	relationships	relationship	NOUN
cana-5692	111	16	between	between	ADP
cana-5692	111	17	nodes	node	NOUN
cana-5692	111	18	,	,	PUNCT
cana-5692	111	19	significantly	significantly	ADV
cana-5692	111	20	reducing	reduce	VERB
cana-5692	111	21	storage	storage	NOUN
cana-5692	111	22	space	space	NOUN
cana-5692	111	23	while	while	SCONJ
cana-5692	111	24	maintaining	maintain	VERB
cana-5692	111	25	efficiency	efficiency	NOUN
cana-5692	111	26	in	in	ADP
cana-5692	111	27	graph	graph	NOUN
cana-5692	111	28	operations	operation	NOUN
cana-5692	111	29	.	.	PUNCT
cana-5692	112	1	for	for	ADP
cana-5692	112	2	largescale	largescale	NOUN
cana-5692	112	3	and	and	CCONJ
cana-5692	112	4	dynamic	dynamic	ADJ
cana-5692	112	5	social	social	ADJ
cana-5692	112	6	graphs	graph	NOUN
cana-5692	112	7	,	,	PUNCT
cana-5692	112	8	graph	graph	NOUN
cana-5692	112	9	databases	database	NOUN
cana-5692	112	10	like	like	ADP
cana-5692	112	11	neo4j	neo4j	PROPN
cana-5692	112	12	and	and	CCONJ
cana-5692	112	13	networkx	networkx	PROPN
cana-5692	112	14	offer	offer	VERB
cana-5692	112	15	an	an	DET
cana-5692	112	16	optimal	optimal	ADJ
cana-5692	112	17	solution	solution	NOUN
cana-5692	112	18	.	.	PUNCT
cana-5692	113	1	these	these	DET
cana-5692	113	2	databases	database	NOUN
cana-5692	113	3	allow	allow	VERB
cana-5692	113	4	for	for	ADP
cana-5692	113	5	efficient	efficient	ADJ
cana-5692	113	6	querying	querying	NOUN
cana-5692	113	7	and	and	CCONJ
cana-5692	113	8	real	real	ADJ
cana-5692	113	9	-	-	PUNCT
cana-5692	113	10	time	time	NOUN
cana-5692	113	11	updates	update	NOUN
cana-5692	113	12	,	,	PUNCT
cana-5692	113	13	enabling	enable	VERB
cana-5692	113	14	fraud	fraud	NOUN
cana-5692	113	15	detection	detection	NOUN
cana-5692	113	16	systems	system	NOUN
cana-5692	113	17	to	to	PART
cana-5692	113	18	analyze	analyze	VERB
cana-5692	113	19	evolving	evolve	VERB
cana-5692	113	20	relationships	relationship	NOUN
cana-5692	113	21	and	and	CCONJ
cana-5692	113	22	detect	detect	NOUN
cana-5692	113	23	anomalies	anomaly	NOUN
cana-5692	113	24	effectively	effectively	ADV
cana-5692	113	25	.	.	PUNCT
cana-5692	114	1	by	by	ADP
cana-5692	114	2	organizing	organize	VERB
cana-5692	114	3	social	social	ADJ
cana-5692	114	4	media	medium	NOUN
cana-5692	114	5	data	datum	NOUN
cana-5692	114	6	into	into	ADP
cana-5692	114	7	a	a	DET
cana-5692	114	8	heterogeneous	heterogeneous	ADJ
cana-5692	114	9	graph	graph	NOUN
cana-5692	114	10	,	,	PUNCT
cana-5692	114	11	pc	pc	NOUN
cana-5692	114	12	-	-	PUNCT
cana-5692	114	13	gnn	gnn	NOUN
cana-5692	114	14	can	can	AUX
cana-5692	114	15	better	well	ADV
cana-5692	114	16	understand	understand	VERB
cana-5692	114	17	the	the	DET
cana-5692	114	18	structure	structure	NOUN
cana-5692	114	19	and	and	CCONJ
cana-5692	114	20	behavior	behavior	NOUN
cana-5692	114	21	of	of	ADP
cana-5692	114	22	fraudulent	fraudulent	ADJ
cana-5692	114	23	entities	entity	NOUN
cana-5692	114	24	,	,	PUNCT
cana-5692	114	25	leading	lead	VERB
cana-5692	114	26	to	to	ADP
cana-5692	114	27	more	more	ADV
cana-5692	114	28	accurate	accurate	ADJ
cana-5692	114	29	and	and	CCONJ
cana-5692	114	30	reliable	reliable	ADJ
cana-5692	114	31	fraud	fraud	NOUN
cana-5692	114	32	detection	detection	NOUN
cana-5692	114	33	mechanisms	mechanism	NOUN
cana-5692	114	34	d	d	NOUN
cana-5692	114	35	)	)	PUNCT
cana-5692	114	36	classification	classification	NOUN
cana-5692	114	37	predictive	predictive	ADJ
cana-5692	114	38	confidence	confidence	NOUN
cana-5692	114	39	graph	graph	NOUN
cana-5692	114	40	neural	neural	ADJ
cana-5692	114	41	network	network	NOUN
cana-5692	114	42	(	(	PUNCT
cana-5692	114	43	pc	pc	NOUN
cana-5692	114	44	-	-	PUNCT
cana-5692	114	45	gnn	gnn	NOUN
cana-5692	114	46	)	)	PUNCT
cana-5692	114	47	is	be	AUX
cana-5692	114	48	a	a	DET
cana-5692	114	49	powerful	powerful	ADJ
cana-5692	114	50	approach	approach	NOUN
cana-5692	114	51	for	for	ADP
cana-5692	114	52	fraud	fraud	NOUN
cana-5692	114	53	detection	detection	NOUN
cana-5692	114	54	in	in	ADP
cana-5692	114	55	social	social	ADJ
cana-5692	114	56	media	medium	NOUN
cana-5692	114	57	networks	network	NOUN
cana-5692	114	58	,	,	PUNCT
cana-5692	114	59	as	as	SCONJ
cana-5692	114	60	it	it	PRON
cana-5692	114	61	not	not	PART
cana-5692	114	62	only	only	ADV
cana-5692	114	63	classifies	classify	VERB
cana-5692	114	64	users	user	NOUN
cana-5692	114	65	but	but	CCONJ
cana-5692	114	66	also	also	ADV
cana-5692	114	67	assesses	assess	VERB
cana-5692	114	68	the	the	DET
cana-5692	114	69	confidence	confidence	NOUN
cana-5692	114	70	level	level	NOUN
cana-5692	114	71	of	of	ADP
cana-5692	114	72	each	each	DET
cana-5692	114	73	prediction	prediction	NOUN
cana-5692	114	74	.	.	PUNCT
cana-5692	115	1	this	this	DET
cana-5692	115	2	added	add	VERB
cana-5692	115	3	confidence	confidence	NOUN
cana-5692	115	4	measure	measure	NOUN
cana-5692	115	5	makes	make	VERB
cana-5692	115	6	the	the	DET
cana-5692	115	7	model	model	NOUN
cana-5692	115	8	more	more	ADV
cana-5692	115	9	resilient	resilient	ADJ
cana-5692	115	10	against	against	ADP
cana-5692	115	11	noisy	noisy	ADJ
cana-5692	115	12	or	or	CCONJ
cana-5692	115	13	adversarial	adversarial	ADJ
cana-5692	115	14	data	datum	NOUN
cana-5692	115	15	,	,	PUNCT
cana-5692	115	16	ensuring	ensure	VERB
cana-5692	115	17	reliable	reliable	ADJ
cana-5692	115	18	fraud	fraud	NOUN
cana-5692	115	19	detection	detection	NOUN
cana-5692	115	20	.	.	PUNCT
cana-5692	116	1	the	the	DET
cana-5692	116	2	process	process	NOUN
cana-5692	116	3	begins	begin	VERB
cana-5692	116	4	with	with	ADP
cana-5692	116	5	graph	graph	NOUN
cana-5692	116	6	construction	construction	NOUN
cana-5692	116	7	,	,	PUNCT
cana-5692	116	8	where	where	SCONJ
cana-5692	116	9	a	a	DET
cana-5692	116	10	heterogeneous	heterogeneous	ADJ
cana-5692	116	11	graph	graph	NOUN
cana-5692	116	12	is	be	AUX
cana-5692	116	13	built	build	VERB
cana-5692	116	14	using	use	VERB
cana-5692	116	15	nodes	node	NOUN
cana-5692	116	16	that	that	PRON
cana-5692	116	17	represent	represent	VERB
cana-5692	116	18	users	user	NOUN
cana-5692	116	19	,	,	PUNCT
cana-5692	116	20	posts	post	NOUN
cana-5692	116	21	,	,	PUNCT
cana-5692	116	22	and	and	CCONJ
cana-5692	116	23	interactions	interaction	NOUN
cana-5692	116	24	.	.	PUNCT
cana-5692	117	1	the	the	DET
cana-5692	117	2	edges	edge	NOUN
cana-5692	117	3	in	in	ADP
cana-5692	117	4	the	the	DET
cana-5692	117	5	graph	graph	NOUN
cana-5692	117	6	define	define	VERB
cana-5692	117	7	relationships	relationship	NOUN
cana-5692	117	8	such	such	ADJ
cana-5692	117	9	as	as	ADP
cana-5692	117	10	friendships	friendship	NOUN
cana-5692	117	11	,	,	PUNCT
cana-5692	117	12	follows	follow	VERB
cana-5692	117	13	,	,	PUNCT
cana-5692	117	14	likes	like	NOUN
cana-5692	117	15	,	,	PUNCT
cana-5692	117	16	shares	share	NOUN
cana-5692	117	17	,	,	PUNCT
cana-5692	117	18	and	and	CCONJ
cana-5692	117	19	comments	comment	NOUN
cana-5692	117	20	,	,	PUNCT
cana-5692	117	21	allowing	allow	VERB
cana-5692	117	22	the	the	DET
cana-5692	117	23	model	model	NOUN
cana-5692	117	24	to	to	PART
cana-5692	117	25	capture	capture	VERB
cana-5692	117	26	both	both	CCONJ
cana-5692	117	27	direct	direct	ADJ
cana-5692	117	28	and	and	CCONJ
cana-5692	117	29	indirect	indirect	ADJ
cana-5692	117	30	user	user	NOUN
cana-5692	117	31	behaviors	behavior	NOUN
cana-5692	117	32	once	once	SCONJ
cana-5692	117	33	the	the	DET
cana-5692	117	34	graph	graph	NOUN
cana-5692	117	35	is	be	AUX
cana-5692	117	36	constructed	construct	VERB
cana-5692	117	37	,	,	PUNCT
cana-5692	117	38	node	node	ADJ
cana-5692	117	39	classification	classification	NOUN
cana-5692	117	40	is	be	AUX
cana-5692	117	41	performed	perform	VERB
cana-5692	117	42	using	use	VERB
cana-5692	117	43	pc	pc	NOUN
cana-5692	117	44	-	-	PUNCT
cana-5692	117	45	gnn	gnn	NOUN
cana-5692	117	46	,	,	PUNCT
cana-5692	117	47	which	which	PRON
cana-5692	117	48	employs	employ	VERB
cana-5692	117	49	message	message	NOUN
cana-5692	117	50	passing	passing	NOUN
cana-5692	117	51	and	and	CCONJ
cana-5692	117	52	feature	feature	NOUN
cana-5692	117	53	aggregation	aggregation	NOUN
cana-5692	117	54	.	.	PUNCT
cana-5692	118	1	in	in	ADP
cana-5692	118	2	this	this	DET
cana-5692	118	3	step	step	NOUN
cana-5692	118	4	,	,	PUNCT
cana-5692	118	5	information	information	NOUN
cana-5692	118	6	flows	flow	VERB
cana-5692	118	7	between	between	ADP
cana-5692	118	8	connected	connected	ADJ
cana-5692	118	9	nodes	node	NOUN
cana-5692	118	10	,	,	PUNCT
cana-5692	118	11	enabling	enable	VERB
cana-5692	118	12	the	the	DET
cana-5692	118	13	model	model	NOUN
cana-5692	118	14	to	to	PART
cana-5692	118	15	learn	learn	VERB
cana-5692	118	16	behavioural	behavioural	ADJ
cana-5692	118	17	patterns	pattern	NOUN
cana-5692	118	18	and	and	CCONJ
cana-5692	118	19	detect	detect	NOUN
cana-5692	118	20	anomalies	anomaly	NOUN
cana-5692	118	21	.	.	PUNCT
cana-5692	119	1	users	user	NOUN
cana-5692	119	2	who	who	PRON
cana-5692	119	3	exhibit	exhibit	VERB
cana-5692	119	4	suspicious	suspicious	ADJ
cana-5692	119	5	engagement	engagement	NOUN
cana-5692	119	6	trends	trend	NOUN
cana-5692	119	7	,	,	PUNCT
cana-5692	119	8	such	such	ADJ
cana-5692	119	9	as	as	ADP
cana-5692	119	10	excessive	excessive	ADJ
cana-5692	119	11	automated	automate	VERB
cana-5692	119	12	interactions	interaction	NOUN
cana-5692	119	13	or	or	CCONJ
cana-5692	119	14	coordinated	coordinated	ADJ
cana-5692	119	15	activities	activity	NOUN
cana-5692	119	16	,	,	PUNCT
cana-5692	119	17	are	be	AUX
cana-5692	119	18	identified	identify	VERB
cana-5692	119	19	based	base	VERB
cana-5692	119	20	on	on	ADP
cana-5692	119	21	their	their	PRON
cana-5692	119	22	graph	graph	NOUN
cana-5692	119	23	-	-	PUNCT
cana-5692	119	24	based	base	VERB
cana-5692	119	25	features	feature	NOUN
cana-5692	119	26	.	.	PUNCT
cana-5692	120	1	following	follow	VERB
cana-5692	120	2	classification	classification	NOUN
cana-5692	120	3	,	,	PUNCT
cana-5692	120	4	the	the	DET
cana-5692	120	5	system	system	NOUN
cana-5692	120	6	assigns	assign	VERB
cana-5692	120	7	a	a	DET
cana-5692	120	8	fraud	fraud	NOUN
cana-5692	120	9	probability	probability	NOUN
cana-5692	120	10	score	score	NOUN
cana-5692	120	11	to	to	ADP
cana-5692	120	12	each	each	DET
cana-5692	120	13	user	user	NOUN
cana-5692	120	14	,	,	PUNCT
cana-5692	120	15	reflecting	reflect	VERB
cana-5692	120	16	their	their	PRON
cana-5692	120	17	likelihood	likelihood	NOUN
cana-5692	120	18	of	of	ADP
cana-5692	120	19	being	be	AUX
cana-5692	120	20	fraudulent	fraudulent	ADJ
cana-5692	120	21	.	.	PUNCT
cana-5692	121	1	pc	pc	NOUN
cana-5692	121	2	-	-	PUNCT
cana-5692	121	3	gnn	gnn	NOUN
cana-5692	121	4	also	also	ADV
cana-5692	121	5	incorporates	incorporate	VERB
cana-5692	121	6	a	a	DET
cana-5692	121	7	confidence	confidence	NOUN
cana-5692	121	8	score	score	NOUN
cana-5692	121	9	alongside	alongside	ADP
cana-5692	121	10	the	the	DET
cana-5692	121	11	fraud	fraud	NOUN
cana-5692	121	12	probability	probability	NOUN
cana-5692	121	13	,	,	PUNCT
cana-5692	121	14	helping	help	VERB
cana-5692	121	15	differentiate	differentiate	VERB
cana-5692	121	16	between	between	ADP
cana-5692	121	17	highly	highly	ADV
cana-5692	121	18	suspicious	suspicious	ADJ
cana-5692	121	19	users	user	NOUN
cana-5692	121	20	and	and	CCONJ
cana-5692	121	21	those	those	PRON
cana-5692	121	22	with	with	ADP
cana-5692	121	23	borderline	borderline	NOUN
cana-5692	121	24	fraudulent	fraudulent	ADJ
cana-5692	121	25	behavior	behavior	NOUN
cana-5692	121	26	.	.	PUNCT
cana-5692	122	1	this	this	PRON
cana-5692	122	2	is	be	AUX
cana-5692	122	3	particularly	particularly	ADV
cana-5692	122	4	useful	useful	ADJ
cana-5692	122	5	in	in	ADP
cana-5692	122	6	minimizing	minimize	VERB
cana-5692	122	7	false	false	ADJ
cana-5692	122	8	positives	positive	NOUN
cana-5692	122	9	and	and	CCONJ
cana-5692	122	10	ensuring	ensure	VERB
cana-5692	122	11	that	that	SCONJ
cana-5692	122	12	legitimate	legitimate	ADJ
cana-5692	122	13	users	user	NOUN
cana-5692	122	14	are	be	AUX
cana-5692	122	15	not	not	PART
cana-5692	122	16	mistakenly	mistakenly	ADV
cana-5692	122	17	flagged	flag	VERB
cana-5692	122	18	.	.	PUNCT
cana-5692	123	1	finally	finally	ADV
cana-5692	123	2	,	,	PUNCT
cana-5692	123	3	the	the	DET
cana-5692	123	4	model	model	NOUN
cana-5692	123	5	performs	perform	VERB
cana-5692	123	6	anomaly	anomaly	NOUN
cana-5692	123	7	detection	detection	NOUN
cana-5692	123	8	and	and	CCONJ
cana-5692	123	9	flagging	flag	VERB
cana-5692	123	10	by	by	ADP
cana-5692	123	11	setting	set	VERB
cana-5692	123	12	a	a	DET
cana-5692	123	13	predefined	predefine	VERB
cana-5692	123	14	threshold	threshold	NOUN
cana-5692	123	15	on	on	ADP
cana-5692	123	16	the	the	DET
cana-5692	123	17	fraud	fraud	NOUN
cana-5692	123	18	score	score	NOUN
cana-5692	123	19	.	.	PUNCT
cana-5692	124	1	users	user	NOUN
cana-5692	124	2	who	who	PRON
cana-5692	124	3	communications	communication	VERB
cana-5692	124	4	on	on	ADP
cana-5692	124	5	applied	apply	VERB
cana-5692	124	6	nonlinear	nonlinear	ADJ
cana-5692	124	7	analysis	analysis	NOUN
cana-5692	124	8	issn	issn	NOUN
cana-5692	124	9	:	:	PUNCT
cana-5692	124	10	1074	1074	NUM
cana-5692	124	11	-	-	PUNCT
cana-5692	124	12	133x	133x	NUM
cana-5692	124	13	vol	vol	NOUN
cana-5692	124	14	32	32	NUM
cana-5692	124	15	no	no	NOUN
cana-5692	124	16	.	.	PUNCT
cana-5692	125	1	4s	4s	NUM
cana-5692	125	2	(	(	PUNCT
cana-5692	125	3	2025	2025	NUM
cana-5692	125	4	)	)	PUNCT
cana-5692	125	5	735	735	NUM
cana-5692	126	1	https://internationalpubls.co	https://internationalpubls.co	NOUN
cana-5692	126	2	m	m	NOUN
cana-5692	126	3	exceed	exceed	VERB
cana-5692	126	4	this	this	DET
cana-5692	126	5	threshold	threshold	NOUN
cana-5692	127	1	are	be	AUX
cana-5692	127	2	marked	mark	VERB
cana-5692	127	3	for	for	ADP
cana-5692	127	4	further	further	ADJ
cana-5692	127	5	investigation	investigation	NOUN
cana-5692	127	6	or	or	CCONJ
cana-5692	127	7	subjected	subject	VERB
cana-5692	127	8	to	to	ADP
cana-5692	127	9	automated	automate	VERB
cana-5692	127	10	actions	action	NOUN
cana-5692	127	11	such	such	ADJ
cana-5692	127	12	as	as	ADP
cana-5692	127	13	account	account	NOUN
cana-5692	127	14	suspension	suspension	NOUN
cana-5692	127	15	,	,	PUNCT
cana-5692	127	16	restricted	restrict	VERB
cana-5692	127	17	access	access	NOUN
cana-5692	127	18	,	,	PUNCT
cana-5692	127	19	or	or	CCONJ
cana-5692	127	20	content	content	NOUN
cana-5692	127	21	moderation	moderation	NOUN
cana-5692	127	22	.	.	PUNCT
cana-5692	128	1	by	by	ADP
cana-5692	128	2	leveraging	leverage	VERB
cana-5692	128	3	both	both	DET
cana-5692	128	4	structured	structured	ADJ
cana-5692	128	5	social	social	ADJ
cana-5692	128	6	connections	connection	NOUN
cana-5692	128	7	and	and	CCONJ
cana-5692	128	8	confidence	confidence	NOUN
cana-5692	128	9	-	-	PUNCT
cana-5692	128	10	aware	aware	ADJ
cana-5692	128	11	predictions	prediction	NOUN
cana-5692	128	12	,	,	PUNCT
cana-5692	128	13	pc	pc	NOUN
cana-5692	128	14	-	-	PUNCT
cana-5692	128	15	gnn	gnn	NOUN
cana-5692	128	16	enhances	enhance	VERB
cana-5692	128	17	fraud	fraud	NOUN
cana-5692	128	18	detection	detection	NOUN
cana-5692	128	19	accuracy	accuracy	NOUN
cana-5692	128	20	,	,	PUNCT
cana-5692	128	21	making	make	VERB
cana-5692	128	22	social	social	ADJ
cana-5692	128	23	media	medium	NOUN
cana-5692	128	24	platforms	platform	NOUN
cana-5692	128	25	safer	safe	ADJ
cana-5692	128	26	and	and	CCONJ
cana-5692	128	27	more	more	ADV
cana-5692	128	28	secure	secure	ADJ
cana-5692	128	29	.	.	PUNCT
cana-5692	129	1	figure:1	figure:1	VERB
cana-5692	129	2	architecture	architecture	NOUN
cana-5692	129	3	diagram	diagram	NOUN
cana-5692	129	4	v.	v.	ADP
cana-5692	129	5	results	result	NOUN
cana-5692	129	6	and	and	CCONJ
cana-5692	129	7	discussion	discussion	NOUN
cana-5692	129	8	to	to	PART
cana-5692	129	9	evaluate	evaluate	VERB
cana-5692	129	10	the	the	DET
cana-5692	129	11	effectiveness	effectiveness	NOUN
cana-5692	129	12	of	of	ADP
cana-5692	129	13	our	our	PRON
cana-5692	129	14	track	track	NOUN
cana-5692	129	15	-based	-based	ADJ
cana-5692	129	16	scam	scam	NOUN
cana-5692	129	17	detection	detection	NOUN
cana-5692	129	18	system	system	NOUN
cana-5692	129	19	,	,	PUNCT
cana-5692	129	20	we	we	PRON
cana-5692	129	21	used	use	VERB
cana-5692	129	22	the	the	DET
cana-5692	129	23	real	real	ADJ
cana-5692	129	24	dataset	dataset	NOUN
cana-5692	129	25	in	in	ADP
cana-5692	129	26	social	social	ADJ
cana-5692	129	27	media	medium	NOUN
cana-5692	129	28	.	.	PUNCT
cana-5692	130	1	experiments	experiment	NOUN
cana-5692	130	2	were	be	AUX
cana-5692	130	3	used	use	VERB
cana-5692	130	4	using	use	VERB
cana-5692	130	5	graph	graph	NOUN
cana-5692	130	6	neural	neural	ADJ
cana-5692	130	7	network	network	NOUN
cana-5692	130	8	(	(	PUNCT
cana-5692	130	9	gnns	gnns	NOUN
cana-5692	130	10	)	)	PUNCT
cana-5692	130	11	and	and	CCONJ
cana-5692	130	12	meta	meta	ADJ
cana-5692	130	13	-	-	PUNCT
cana-5692	130	14	path	path	NOUN
cana-5692	130	15	analysis	analysis	NOUN
cana-5692	130	16	,	,	PUNCT
cana-5692	130	17	and	and	CCONJ
cana-5692	130	18	utilized	utilize	VERB
cana-5692	130	19	structures	structure	NOUN
cana-5692	130	20	such	such	ADJ
cana-5692	130	21	as	as	ADP
cana-5692	130	22	pytorch	pytorch	NOUN
cana-5692	130	23	geometric	geometric	ADJ
cana-5692	130	24	for	for	ADP
cana-5692	130	25	graph	graph	NOUN
cana-5692	130	26	treatment	treatment	NOUN
cana-5692	130	27	.	.	PUNCT
cana-5692	131	1	use	use	NOUN
cana-5692	131	2	of	of	ADP
cana-5692	131	3	data	datum	NOUN
cana-5692	131	4	sets	set	NOUN
cana-5692	131	5	:	:	PUNCT
cana-5692	131	6	data	datum	NOUN
cana-5692	131	7	set	set	VERB
cana-5692	131	8	for	for	ADP
cana-5692	131	9	social	social	ADJ
cana-5692	131	10	media	medium	NOUN
cana-5692	131	11	containing	contain	VERB
cana-5692	131	12	users	user	NOUN
cana-5692	131	13	,	,	PUNCT
cana-5692	131	14	posts	post	NOUN
cana-5692	131	15	,	,	PUNCT
cana-5692	131	16	comments	comment	NOUN
cana-5692	131	17	and	and	CCONJ
cana-5692	131	18	engagement	engagement	NOUN
cana-5692	131	19	activities	activity	NOUN
cana-5692	131	20	graph	graph	NOUN
cana-5692	131	21	construction	construction	NOUN
cana-5692	131	22	:	:	PUNCT
cana-5692	131	23	nodes	node	NOUN
cana-5692	131	24	represent	represent	VERB
cana-5692	131	25	users	user	NOUN
cana-5692	131	26	,	,	PUNCT
cana-5692	131	27	posts	post	NOUN
cana-5692	131	28	and	and	CCONJ
cana-5692	131	29	comments	comment	NOUN
cana-5692	131	30	,	,	PUNCT
cana-5692	131	31	while	while	SCONJ
cana-5692	131	32	occupying	occupy	VERB
cana-5692	131	33	the	the	DET
cana-5692	131	34	edges	edge	NOUN
cana-5692	131	35	,	,	PUNCT
cana-5692	131	36	preferring	prefer	VERB
cana-5692	131	37	,	,	PUNCT
cana-5692	131	38	shares	share	NOUN
cana-5692	131	39	,	,	PUNCT
cana-5692	131	40	shares	share	NOUN
cana-5692	131	41	and	and	CCONJ
cana-5692	131	42	comments	comment	NOUN
cana-5692	131	43	functional	functional	ADJ
cana-5692	131	44	extraction	extraction	NOUN
cana-5692	131	45	:	:	PUNCT
cana-5692	131	46	user	user	NOUN
cana-5692	131	47	characteristics	characteristic	NOUN
cana-5692	131	48	(	(	PUNCT
cana-5692	131	49	profile	profile	NOUN
cana-5692	131	50	age	age	NOUN
cana-5692	131	51	,	,	PUNCT
cana-5692	131	52	engagement	engagement	NOUN
cana-5692	131	53	measurements	measurement	NOUN
cana-5692	131	54	)	)	PUNCT
cana-5692	131	55	,	,	PUNCT
cana-5692	131	56	post	post	NOUN
cana-5692	131	57	characteristics	characteristic	NOUN
cana-5692	131	58	(	(	PUNCT
cana-5692	131	59	content	content	NOUN
cana-5692	131	60	spirit	spirit	NOUN
cana-5692	131	61	,	,	PUNCT
cana-5692	131	62	metadata	metadata	PROPN
cana-5692	131	63	)	)	PUNCT
cana-5692	131	64	and	and	CCONJ
cana-5692	131	65	interaction	interaction	NOUN
cana-5692	131	66	frequency	frequency	NOUN
cana-5692	131	67	were	be	AUX
cana-5692	131	68	assessed	assess	VERB
cana-5692	131	69	training	training	NOUN
cana-5692	131	70	setup	setup	NOUN
cana-5692	131	71	:	:	PUNCT
cana-5692	131	72	trained	train	VERB
cana-5692	131	73	models	model	NOUN
cana-5692	131	74	that	that	PRON
cana-5692	131	75	use	use	VERB
cana-5692	131	76	the	the	DET
cana-5692	131	77	graff	graff	NOUN
cana-5692	131	78	convision	convision	NOUN
cana-5692	131	79	network	network	NOUN
cana-5692	131	80	(	(	PUNCT
cana-5692	131	81	gcn	gcn	NOUN
cana-5692	131	82	)	)	PUNCT
cana-5692	131	83	for	for	ADP
cana-5692	131	84	50	50	NUM
cana-5692	131	85	eras	era	NOUN
cana-5692	131	86	with	with	ADP
cana-5692	131	87	80	80	NUM
cana-5692	131	88	-	-	SYM
cana-5692	131	89	20	20	NUM
cana-5692	131	90	train	train	NOUN
cana-5692	131	91	test	test	NOUN
cana-5692	131	92	split	split	NOUN
cana-5692	131	93	.	.	PUNCT
cana-5692	132	1	evaluation	evaluation	NOUN
cana-5692	132	2	matrix	matrix	NOUN
cana-5692	132	3	:	:	PUNCT
cana-5692	132	4	accurate	accurate	ADJ
cana-5692	132	5	,	,	PUNCT
cana-5692	132	6	recall	recall	NOUN
cana-5692	132	7	,	,	PUNCT
cana-5692	132	8	f1	f1	NOUN
cana-5692	132	9	-	-	PUNCT
cana-5692	132	10	score	score	NOUN
cana-5692	132	11	,	,	PUNCT
cana-5692	132	12	auc	auc	NOUN
cana-5692	132	13	-	-	PUNCT
cana-5692	132	14	roc	roc	NOUN
cana-5692	132	15	and	and	CCONJ
cana-5692	132	16	accuracy	accuracy	NOUN
cana-5692	132	17	were	be	AUX
cana-5692	132	18	used	use	VERB
cana-5692	132	19	to	to	PART
cana-5692	132	20	assess	assess	VERB
cana-5692	132	21	the	the	DET
cana-5692	132	22	performance	performance	NOUN
cana-5692	132	23	.	.	PUNCT
cana-5692	133	1	the	the	DET
cana-5692	133	2	ability	ability	NOUN
cana-5692	133	3	to	to	PART
cana-5692	133	4	detect	detect	VERB
cana-5692	133	5	fraud	fraud	NOUN
cana-5692	133	6	activity	activity	NOUN
cana-5692	133	7	was	be	AUX
cana-5692	133	8	tested	test	VERB
cana-5692	133	9	under	under	ADP
cana-5692	133	10	various	various	ADJ
cana-5692	133	11	circumstances	circumstance	NOUN
cana-5692	133	12	,	,	PUNCT
cana-5692	133	13	such	such	ADJ
cana-5692	133	14	as	as	ADP
cana-5692	133	15	low	low	ADJ
cana-5692	133	16	,	,	PUNCT
cana-5692	133	17	moderate	moderate	ADJ
cana-5692	133	18	and	and	CCONJ
cana-5692	133	19	high	high	ADJ
cana-5692	133	20	fraud	fraud	NOUN
cana-5692	133	21	.	.	PUNCT
cana-5692	134	1	the	the	DET
cana-5692	134	2	results	result	NOUN
cana-5692	134	3	indicate	indicate	VERB
cana-5692	134	4	that	that	SCONJ
cana-5692	134	5	the	the	DET
cana-5692	134	6	track	track	NOUN
cana-5692	134	7	-based	-based	ADJ
cana-5692	134	8	identity	identity	NOUN
cana-5692	134	9	method	method	NOUN
cana-5692	134	10	does	do	VERB
cana-5692	134	11	much	much	ADV
cana-5692	134	12	better	well	ADJ
cana-5692	134	13	than	than	ADP
cana-5692	134	14	the	the	DET
cana-5692	134	15	methods	method	NOUN
cana-5692	134	16	for	for	ADP
cana-5692	134	17	detecting	detect	VERB
cana-5692	134	18	traditional	traditional	ADJ
cana-5692	134	19	fraud	fraud	NOUN
cana-5692	134	20	in	in	ADP
cana-5692	134	21	terms	term	NOUN
cana-5692	134	22	of	of	ADP
cana-5692	134	23	accuracy	accuracy	NOUN
cana-5692	134	24	,	,	PUNCT
cana-5692	134	25	recalling	recall	VERB
cana-5692	134	26	and	and	CCONJ
cana-5692	134	27	false	false	ADJ
cana-5692	134	28	positive	positive	ADJ
cana-5692	134	29	prices	price	NOUN
cana-5692	134	30	.	.	PUNCT
cana-5692	135	1	the	the	DET
cana-5692	135	2	ability	ability	NOUN
cana-5692	135	3	to	to	PART
cana-5692	135	4	detect	detect	VERB
cana-5692	135	5	fraud	fraud	NOUN
cana-5692	135	6	activity	activity	NOUN
cana-5692	135	7	was	be	AUX
cana-5692	135	8	tested	test	VERB
cana-5692	135	9	under	under	ADP
cana-5692	135	10	various	various	ADJ
cana-5692	135	11	circumstances	circumstance	NOUN
cana-5692	135	12	,	,	PUNCT
cana-5692	135	13	such	such	ADJ
cana-5692	135	14	as	as	ADP
cana-5692	135	15	low	low	ADJ
cana-5692	135	16	,	,	PUNCT
cana-5692	135	17	moderate	moderate	ADJ
cana-5692	135	18	and	and	CCONJ
cana-5692	135	19	high	high	ADJ
cana-5692	135	20	fraud	fraud	NOUN
cana-5692	135	21	.	.	PUNCT
cana-5692	136	1	the	the	DET
cana-5692	136	2	results	result	NOUN
cana-5692	136	3	indicate	indicate	VERB
cana-5692	136	4	that	that	SCONJ
cana-5692	136	5	the	the	DET
cana-5692	136	6	track	track	NOUN
cana-5692	136	7	-based	-based	ADJ
cana-5692	136	8	identity	identity	NOUN
cana-5692	136	9	method	method	NOUN
cana-5692	136	10	does	do	AUX
cana-5692	136	11	much	much	ADV
cana-5692	136	12	better	well	ADJ
cana-5692	136	13	than	than	ADP
cana-5692	136	14	the	the	DET
cana-5692	136	15	methods	method	NOUN
cana-5692	136	16	for	for	ADP
cana-5692	136	17	detecting	detect	VERB
cana-5692	136	18	traditional	traditional	ADJ
cana-5692	136	19	fraud	fraud	NOUN
cana-5692	136	20	in	in	ADP
cana-5692	136	21	terms	term	NOUN
cana-5692	136	22	of	of	ADP
cana-5692	136	23	accuracy	accuracy	NOUN
cana-5692	136	24	,	,	PUNCT
cana-5692	136	25	recalling	recall	VERB
cana-5692	136	26	and	and	CCONJ
cana-5692	136	27	false	false	ADJ
cana-5692	136	28	positive	positive	ADJ
cana-5692	136	29	prices	price	NOUN
cana-5692	136	30	table	table	NOUN
cana-5692	136	31	:1	:1	PUNCT
cana-5692	136	32	accuracy	accuracy	NOUN
cana-5692	136	33	comparison	comparison	NOUN
cana-5692	136	34	model	model	NOUN
cana-5692	136	35	precision	precision	PROPN
cana-5692	136	36	recall	recall	NOUN
cana-5692	136	37	f1	f1	PROPN
cana-5692	136	38	auc	auc	NOUN
cana-5692	136	39	score	score	NOUN
cana-5692	136	40	roc	roc	PROPN
cana-5692	136	41	72.5	72.5	NUM
cana-5692	136	42	%	%	NOUN
cana-5692	136	43	68.2	68.2	NUM
cana-5692	136	44	%	%	NOUN
cana-5692	136	45	70.3	70.3	NUM
cana-5692	136	46	%	%	NOUN
cana-5692	136	47	75.1	75.1	NUM
cana-5692	136	48	%	%	NOUN
cana-5692	136	49	rule	rule	NOUN
cana-5692	136	50	-	-	PUNCT
cana-5692	136	51	based	base	VERB
cana-5692	136	52	fraud	fraud	NOUN
cana-5692	136	53	detection	detection	NOUN
cana-5692	136	54	machine	machine	NOUN
cana-5692	136	55	81.3	81.3	NUM
cana-5692	136	56	%	%	NOUN
cana-5692	136	57	79.0	79.0	NUM
cana-5692	136	58	%	%	NOUN
cana-5692	136	59	83.4	83.4	NUM
cana-5692	136	60	%	%	NOUN
cana-5692	136	61	learning	learn	VERB
cana-5692	136	62	76.9	76.9	NUM
cana-5692	136	63	%	%	NOUN
cana-5692	136	64	(	(	PUNCT
cana-5692	136	65	random	random	ADJ
cana-5692	136	66	forest	forest	NOUN
cana-5692	136	67	)	)	PUNCT
cana-5692	137	1	gnn89.7	gnn89.7	NOUN
cana-5692	137	2	%	%	NOUN
cana-5692	137	3	87.2	87.2	NUM
cana-5692	137	4	%	%	NOUN
cana-5692	137	5	88.4	88.4	NUM
cana-5692	137	6	%	%	NOUN
cana-5692	137	7	91.8	91.8	NUM
cana-5692	137	8	%	%	NOUN
cana-5692	137	9	based	base	VERB
cana-5692	137	10	communications	communication	NOUN
cana-5692	137	11	on	on	ADP
cana-5692	137	12	applied	apply	VERB
cana-5692	137	13	nonlinear	nonlinear	ADJ
cana-5692	137	14	analysis	analysis	NOUN
cana-5692	137	15	issn	issn	NOUN
cana-5692	137	16	:	:	PUNCT
cana-5692	137	17	1074	1074	NUM
cana-5692	137	18	-	-	PUNCT
cana-5692	137	19	133x	133x	NUM
cana-5692	137	20	vol	vol	NOUN
cana-5692	137	21	32	32	NUM
cana-5692	137	22	no	no	NOUN
cana-5692	137	23	.	.	PUNCT
cana-5692	138	1	4s	4s	NUM
cana-5692	138	2	(	(	PUNCT
cana-5692	138	3	2025	2025	NUM
cana-5692	138	4	)	)	PUNCT
cana-5692	138	5	736	736	NUM
cana-5692	138	6	https://internationalpubls.co	https://internationalpubls.co	PROPN
cana-5692	138	7	m	m	PROPN
cana-5692	138	8	fraud	fraud	NOUN
cana-5692	138	9	detection	detection	NOUN
cana-5692	138	10	comparison	comparison	NOUN
cana-5692	138	11	of	of	ADP
cana-5692	138	12	fraud	fraud	NOUN
cana-5692	138	13	detection	detection	NOUN
cana-5692	138	14	models	model	NOUN
cana-5692	138	15	figure	figure	VERB
cana-5692	138	16	:	:	PUNCT
cana-5692	138	17	2	2	NUM
cana-5692	138	18	performance	performance	NOUN
cana-5692	138	19	figure:3	figure:3	NOUN
cana-5692	138	20	fraud	fraud	NOUN
cana-5692	138	21	probability	probability	NOUN
cana-5692	138	22	detection	detection	NOUN
cana-5692	138	23	vi	vi	PROPN
cana-5692	138	24	.	.	PROPN
cana-5692	138	25	conclusion	conclusion	NOUN
cana-5692	138	26	finding	find	VERB
cana-5692	138	27	scams	scam	NOUN
cana-5692	138	28	in	in	ADP
cana-5692	138	29	social	social	ADJ
cana-5692	138	30	networks	network	NOUN
cana-5692	138	31	is	be	AUX
cana-5692	138	32	a	a	DET
cana-5692	138	33	challenging	challenging	ADJ
cana-5692	138	34	problem	problem	NOUN
cana-5692	138	35	due	due	ADP
cana-5692	138	36	to	to	ADP
cana-5692	138	37	complex	complex	ADJ
cana-5692	138	38	compounds	compound	NOUN
cana-5692	138	39	and	and	CCONJ
cana-5692	138	40	developed	develop	VERB
cana-5692	138	41	nature	nature	NOUN
cana-5692	138	42	of	of	ADP
cana-5692	138	43	fraudulent	fraudulent	ADJ
cana-5692	138	44	behavior	behavior	NOUN
cana-5692	138	45	among	among	ADP
cana-5692	138	46	users	user	NOUN
cana-5692	138	47	.	.	PUNCT
cana-5692	139	1	our	our	PRON
cana-5692	139	2	proposed	proposed	ADJ
cana-5692	139	3	road	road	NOUN
cana-5692	139	4	and	and	CCONJ
cana-5692	139	5	cost	cost	NOUN
cana-5692	139	6	-	-	PUNCT
cana-5692	139	7	sensitive	sensitive	ADJ
cana-5692	139	8	graph	graph	NOUN
cana-5692	139	9	neural	neural	ADJ
cana-5692	139	10	networks	network	NOUN
cana-5692	139	11	(	(	PUNCT
cana-5692	139	12	gnn	gnn	NOUN
cana-5692	139	13	)	)	PUNCT
cana-5692	139	14	models	model	NOUN
cana-5692	139	15	effectively	effectively	ADV
cana-5692	139	16	address	address	VERB
cana-5692	139	17	these	these	DET
cana-5692	139	18	challenges	challenge	NOUN
cana-5692	139	19	,	,	PUNCT
cana-5692	139	20	as	as	ADP
cana-5692	139	21	by	by	ADP
cana-5692	139	22	incorporating	incorporate	VERB
cana-5692	139	23	track	track	NOUN
cana-5692	139	24	-	-	PUNCT
cana-5692	139	25	based	base	VERB
cana-5692	139	26	learning	learning	NOUN
cana-5692	139	27	to	to	PART
cana-5692	139	28	capture	capture	VERB
cana-5692	139	29	relationship	relationship	NOUN
cana-5692	139	30	dependence	dependence	NOUN
cana-5692	139	31	and	and	CCONJ
cana-5692	139	32	a	a	DET
cana-5692	139	33	cost	cost	NOUN
cana-5692	139	34	to	to	ADP
cana-5692	139	35	combat	combat	NOUN
cana-5692	139	36	class	class	NOUN
cana-5692	139	37	imbalance	imbalance	NOUN
cana-5692	139	38	problems	problem	NOUN
cana-5692	139	39	-	-	PUNCT
cana-5692	139	40	including	include	VERB
cana-5692	139	41	sensitive	sensitive	ADJ
cana-5692	139	42	structures	structure	NOUN
cana-5692	139	43	.	.	PUNCT
cana-5692	140	1	through	through	ADP
cana-5692	140	2	extensive	extensive	ADJ
cana-5692	140	3	use	use	NOUN
cana-5692	140	4	,	,	PUNCT
cana-5692	140	5	our	our	PRON
cana-5692	140	6	model	model	NOUN
cana-5692	140	7	has	have	AUX
cana-5692	140	8	performed	perform	VERB
cana-5692	140	9	better	well	ADJ
cana-5692	140	10	performance	performance	NOUN
cana-5692	140	11	on	on	ADP
cana-5692	140	12	traditional	traditional	ADJ
cana-5692	140	13	fraud	fraud	NOUN
cana-5692	140	14	detection	detection	NOUN
cana-5692	140	15	techniques	technique	NOUN
cana-5692	140	16	,	,	PUNCT
cana-5692	140	17	remembers	remember	VERB
cana-5692	140	18	high	high	ADJ
cana-5692	140	19	accuracy	accuracy	NOUN
cana-5692	140	20	and	and	CCONJ
cana-5692	140	21	reduced	reduce	VERB
cana-5692	140	22	false	false	ADJ
cana-5692	140	23	positivity	positivity	NOUN
cana-5692	140	24	.	.	PUNCT
cana-5692	141	1	the	the	DET
cana-5692	141	2	ability	ability	NOUN
cana-5692	141	3	to	to	PART
cana-5692	141	4	analyze	analyze	VERB
cana-5692	141	5	multi	multi	ADJ
cana-5692	141	6	-	-	ADJ
cana-5692	141	7	hop	hop	ADJ
cana-5692	141	8	connections	connection	NOUN
cana-5692	141	9	has	have	AUX
cana-5692	141	10	proven	prove	VERB
cana-5692	141	11	to	to	PART
cana-5692	141	12	be	be	AUX
cana-5692	141	13	important	important	ADJ
cana-5692	141	14	in	in	ADP
cana-5692	141	15	identifying	identify	VERB
cana-5692	141	16	sophisticated	sophisticated	ADJ
cana-5692	141	17	scammers	scammer	NOUN
cana-5692	141	18	to	to	PART
cana-5692	141	19	utilize	utilize	VERB
cana-5692	141	20	network	network	NOUN
cana-5692	141	21	structures	structure	NOUN
cana-5692	141	22	.	.	PUNCT
cana-5692	142	1	in	in	ADP
cana-5692	142	2	addition	addition	NOUN
cana-5692	142	3	,	,	PUNCT
cana-5692	142	4	cost	cost	VERB
cana-5692	142	5	-sensitive	-sensitive	ADJ
cana-5692	142	6	teaching	teaching	NOUN
cana-5692	142	7	approach	approach	NOUN
cana-5692	142	8	ensures	ensure	VERB
cana-5692	142	9	a	a	DET
cana-5692	142	10	fair	fair	ADJ
cana-5692	142	11	classification	classification	NOUN
cana-5692	142	12	process	process	NOUN
cana-5692	142	13	by	by	ADP
cana-5692	142	14	reducing	reduce	VERB
cana-5692	142	15	prejudice	prejudice	NOUN
cana-5692	142	16	against	against	ADP
cana-5692	142	17	minority	minority	NOUN
cana-5692	142	18	fraud	fraud	NOUN
cana-5692	142	19	cases	case	NOUN
cana-5692	142	20	.	.	PUNCT
cana-5692	143	1	in	in	ADP
cana-5692	143	2	the	the	DET
cana-5692	143	3	future	future	NOUN
cana-5692	143	4	,	,	PUNCT
cana-5692	143	5	future	future	ADJ
cana-5692	143	6	improvement	improvement	NOUN
cana-5692	143	7	of	of	ADP
cana-5692	143	8	dynamic	dynamic	ADJ
cana-5692	143	9	graph	graph	NOUN
cana-5692	143	10	updates	update	NOUN
cana-5692	143	11	,	,	PUNCT
cana-5692	143	12	self	self	NOUN
cana-5692	143	13	-reported	-reporte	VERB
cana-5692	143	14	learning	learning	NOUN
cana-5692	143	15	for	for	ADP
cana-5692	143	16	better	well	ADJ
cana-5692	143	17	convenience	convenience	NOUN
cana-5692	143	18	and	and	CCONJ
cana-5692	143	19	integration	integration	NOUN
cana-5692	143	20	of	of	ADP
cana-5692	143	21	adaptive	adaptive	ADJ
cana-5692	143	22	cost	cost	NOUN
cana-5692	143	23	tasks	task	NOUN
cana-5692	143	24	to	to	PART
cana-5692	143	25	match	match	VERB
cana-5692	143	26	different	different	ADJ
cana-5692	143	27	scam	scam	NOUN
cana-5692	143	28	types	type	NOUN
cana-5692	143	29	can	can	AUX
cana-5692	143	30	focus	focus	VERB
cana-5692	143	31	on	on	ADP
cana-5692	143	32	detecting	detect	VERB
cana-5692	143	33	real	real	ADJ
cana-5692	143	34	-time	-time	PROPN
cana-5692	143	35	scams	scam	NOUN
cana-5692	143	36	.	.	PUNCT
cana-5692	144	1	such	such	ADJ
cana-5692	144	2	reforms	reform	NOUN
cana-5692	144	3	will	will	AUX
cana-5692	144	4	increase	increase	VERB
cana-5692	144	5	the	the	DET
cana-5692	144	6	model	model	NOUN
cana-5692	144	7	's	's	PART
cana-5692	144	8	efficiency	efficiency	NOUN
cana-5692	144	9	and	and	CCONJ
cana-5692	144	10	scalability	scalability	NOUN
cana-5692	144	11	in	in	ADP
cana-5692	144	12	the	the	DET
cana-5692	144	13	model	model	NOUN
cana-5692	144	14	in	in	ADP
cana-5692	144	15	real	real	ADJ
cana-5692	144	16	world	world	NOUN
cana-5692	144	17	security	security	NOUN
cana-5692	144	18	applications	application	NOUN
cana-5692	144	19	for	for	ADP
cana-5692	144	20	social	social	ADJ
cana-5692	144	21	networks	network	NOUN
cana-5692	144	22	.	.	PUNCT
cana-5692	145	1	ultimately	ultimately	ADV
cana-5692	145	2	,	,	PUNCT
cana-5692	145	3	our	our	PRON
cana-5692	145	4	research	research	NOUN
cana-5692	145	5	contributes	contribute	VERB
cana-5692	145	6	to	to	ADP
cana-5692	145	7	the	the	DET
cana-5692	145	8	growing	grow	VERB
cana-5692	145	9	area	area	NOUN
cana-5692	145	10	for	for	ADP
cana-5692	145	11	ai	ai	ADJ
cana-5692	145	12	-	-	PUNCT
cana-5692	145	13	driven	drive	VERB
cana-5692	145	14	fraud	fraud	NOUN
cana-5692	145	15	detection	detection	NOUN
cana-5692	145	16	,	,	PUNCT
cana-5692	145	17	which	which	PRON
cana-5692	145	18	provides	provide	VERB
cana-5692	145	19	a	a	DET
cana-5692	145	20	strong	strong	ADJ
cana-5692	145	21	,	,	PUNCT
cana-5692	145	22	intelligent	intelligent	ADJ
cana-5692	145	23	and	and	CCONJ
cana-5692	145	24	adaptable	adaptable	ADJ
cana-5692	145	25	solution	solution	NOUN
cana-5692	145	26	to	to	PART
cana-5692	145	27	secure	secure	VERB
cana-5692	145	28	online	online	ADJ
cana-5692	145	29	communities	community	NOUN
cana-5692	145	30	from	from	ADP
cana-5692	145	31	malicious	malicious	ADJ
cana-5692	145	32	activities	activity	NOUN
cana-5692	145	33	.	.	PUNCT
cana-5692	146	1	references	reference	NOUN
cana-5692	146	2	[	[	X
cana-5692	146	3	1	1	NUM
cana-5692	146	4	]	]	X
cana-5692	146	5	y.ng	y.ng	PROPN
cana-5692	146	6	,	,	PUNCT
cana-5692	146	7	y.	y.	PROPN
cana-5692	146	8	xu	xu	PROPN
cana-5692	146	9	,	,	PUNCT
cana-5692	146	10	y.	y.	PROPN
cana-5692	146	11	sun	sun	PROPN
cana-5692	146	12	,	,	PUNCT
cana-5692	146	13	y.	y.	PROPN
cana-5692	146	14	dong	dong	PROPN
cana-5692	146	15	,	,	PUNCT
cana-5692	146	16	f.	f.	PROPN
cana-5692	146	17	wu	wu	PROPN
cana-5692	146	18	,	,	PUNCT
cana-5692	146	19	and	and	CCONJ
cana-5692	146	20	y.	y.	PROPN
cana-5692	146	21	zhuang	zhuang	PROPN
cana-5692	146	22	,	,	PUNCT
cana-5692	146	23	―mining	―mine	VERB
cana-5692	146	24	fraudsters	fraudster	NOUN
cana-5692	146	25	and	and	CCONJ
cana-5692	146	26	fraudulent	fraudulent	ADJ
cana-5692	146	27	strategies	strategy	NOUN
cana-5692	146	28	in	in	ADP
cana-5692	146	29	large	large	ADJ
cana-5692	146	30	-	-	PUNCT
cana-5692	146	31	scale	scale	NOUN
cana-5692	146	32	mobile	mobile	ADJ
cana-5692	146	33	social	social	ADJ
cana-5692	146	34	networks,‖	networks,‖	PROPN
cana-5692	146	35	ieee	ieee	NOUN
cana-5692	146	36	trans	trans	PROPN
cana-5692	146	37	.	.	PROPN
cana-5692	147	1	knowl	knowl	PROPN
cana-5692	147	2	.	.	PUNCT
cana-5692	148	1	data	data	PROPN
cana-5692	148	2	eng	eng	PROPN
cana-5692	148	3	.	.	PROPN
cana-5692	148	4	,	,	PUNCT
cana-5692	148	5	vol	vol	NOUN
cana-5692	148	6	.	.	PROPN
cana-5692	149	1	33	33	NUM
cana-5692	149	2	,	,	PUNCT
cana-5692	149	3	no	no	INTJ
cana-5692	149	4	.	.	NOUN
cana-5692	149	5	1	1	NUM
cana-5692	149	6	,	,	PUNCT
cana-5692	149	7	pp	pp	ADJ
cana-5692	149	8	.	.	PUNCT
cana-5692	150	1	169–179	169–179	NUM
cana-5692	150	2	,	,	PUNCT
cana-5692	150	3	jan	jan	PROPN
cana-5692	150	4	.	.	PROPN
cana-5692	150	5	2021	2021	NUM
cana-5692	150	6	[	[	X
cana-5692	150	7	2	2	X
cana-5692	150	8	]	]	PUNCT
cana-5692	150	9	y.-j	y.-j	PROPN
cana-5692	150	10	.	.	PUNCT
cana-5692	151	1	zheng	zheng	PROPN
cana-5692	151	2	,	,	PUNCT
cana-5692	151	3	x.-h	x.-h	PROPN
cana-5692	151	4	.	.	PUNCT
cana-5692	152	1	zhou	zhou	PROPN
cana-5692	152	2	,	,	PUNCT
cana-5692	152	3	w.-g	w.-g	PROPN
cana-5692	152	4	.	.	PUNCT
cana-5692	153	1	sheng	sheng	PROPN
cana-5692	153	2	,	,	PUNCT
cana-5692	153	3	y.	y.	PROPN
cana-5692	153	4	xue	xue	PROPN
cana-5692	153	5	,	,	PUNCT
cana-5692	153	6	and	and	CCONJ
cana-5692	153	7	s.-y	s.-y	NOUN
cana-5692	153	8	.	.	PUNCT
cana-5692	154	1	chen	chen	PROPN
cana-5692	154	2	,	,	PUNCT
cana-5692	154	3	―generative	―generative	ADJ
cana-5692	154	4	adversarial	adversarial	ADJ
cana-5692	154	5	network	network	NOUN
cana-5692	154	6	based	base	VERB
cana-5692	154	7	telecom	telecom	PROPN
cana-5692	154	8	fraud	fraud	NOUN
cana-5692	154	9	detection	detection	NOUN
cana-5692	154	10	at	at	ADP
cana-5692	154	11	the	the	DET
cana-5692	154	12	receiving	receive	VERB
cana-5692	154	13	bank,‖	bank,‖	PROPN
cana-5692	154	14	neural	neural	ADJ
cana-5692	154	15	netw	netw	NOUN
cana-5692	154	16	.	.	PUNCT
cana-5692	155	1	,	,	PUNCT
cana-5692	155	2	vol.102	vol.102	NOUN
cana-5692	155	3	,	,	PUNCT
cana-5692	155	4	pp	pp	ADV
cana-5692	155	5	.	.	PUNCT
cana-5692	156	1	78–86	78–86	NUM
cana-5692	156	2	,	,	PUNCT
cana-5692	156	3	jun	jun	PROPN
cana-5692	156	4	.	.	PROPN
cana-5692	156	5	2018	2018	NUM
cana-5692	157	1	[	[	X
cana-5692	157	2	3	3	NUM
cana-5692	157	3	]	]	PUNCT
cana-5692	157	4	research	research	NOUN
cana-5692	157	5	report	report	NOUN
cana-5692	157	6	on	on	ADP
cana-5692	157	7	telecommunication	telecommunication	NOUN
cana-5692	157	8	network	network	NOUN
cana-5692	157	9	fraud	fraud	NOUN
cana-5692	157	10	management	management	NOUN
cana-5692	157	11	under	under	ADP
cana-5692	157	12	the	the	DET
cana-5692	157	13	new	new	ADJ
cana-5692	157	14	situation	situation	NOUN
cana-5692	157	15	,	,	PUNCT
cana-5692	157	16	china	china	PROPN
cana-5692	157	17	academy	academy	PROPN
cana-5692	157	18	inf	inf	PROPN
cana-5692	157	19	.	.	PUNCT
cana-5692	158	1	commun	commun	PROPN
cana-5692	158	2	.	.	PUNCT
cana-5692	159	1	technol	technol	PROPN
cana-5692	159	2	.	.	PROPN
cana-5692	159	3	,	,	PUNCT
cana-5692	159	4	beijing	beijing	PROPN
cana-5692	159	5	,	,	PUNCT
cana-5692	159	6	china	china	PROPN
cana-5692	159	7	,	,	PUNCT
cana-5692	159	8	2020	2020	NUM
cana-5692	159	9	.	.	PUNCT
cana-5692	160	1	[	[	X
cana-5692	160	2	4	4	X
cana-5692	160	3	]	]	PUNCT
cana-5692	160	4	latest	late	ADJ
cana-5692	160	5	analysis	analysis	NOUN
cana-5692	160	6	on	on	ADP
cana-5692	160	7	global	global	ADJ
cana-5692	160	8	scam	scam	NOUN
cana-5692	160	9	calls	call	NOUN
cana-5692	160	10	and	and	CCONJ
cana-5692	160	11	messages	message	NOUN
cana-5692	160	12	from	from	ADP
cana-5692	160	13	global	global	ADJ
cana-5692	160	14	and	and	CCONJ
cana-5692	160	15	local	local	ADJ
cana-5692	160	16	perspectives	perspective	NOUN
cana-5692	160	17	,	,	PUNCT
cana-5692	160	18	whoscall	whoscall	NOUN
cana-5692	160	19	,	,	PUNCT
cana-5692	160	20	2022	2022	NUM
cana-5692	160	21	.	.	PUNCT
cana-5692	161	1	[	[	X
cana-5692	161	2	5	5	X
cana-5692	161	3	]	]	PUNCT
cana-5692	161	4	latest	late	ADJ
cana-5692	161	5	analysis	analysis	NOUN
cana-5692	161	6	on	on	ADP
cana-5692	161	7	global	global	ADJ
cana-5692	161	8	scam	scam	NOUN
cana-5692	161	9	calls	call	NOUN
cana-5692	161	10	and	and	CCONJ
cana-5692	161	11	messages	message	NOUN
cana-5692	161	12	from	from	ADP
cana-5692	161	13	global	global	ADJ
cana-5692	161	14	and	and	CCONJ
cana-5692	161	15	local	local	ADJ
cana-5692	161	16	perspectives	perspective	NOUN
cana-5692	161	17	,	,	PUNCT
cana-5692	161	18	whoscall	whoscall	NOUN
cana-5692	161	19	,	,	PUNCT
cana-5692	161	20	2022	2022	NUM
cana-5692	161	21	.	.	PUNCT
cana-5692	162	1	communications	communication	NOUN
cana-5692	162	2	on	on	ADP
cana-5692	162	3	applied	apply	VERB
cana-5692	162	4	nonlinear	nonlinear	ADJ
cana-5692	162	5	analysis	analysis	NOUN
cana-5692	162	6	issn	issn	NOUN
cana-5692	162	7	:	:	PUNCT
cana-5692	162	8	1074	1074	NUM
cana-5692	162	9	-	-	PUNCT
cana-5692	162	10	133x	133x	NUM
cana-5692	162	11	vol	vol	NOUN
cana-5692	162	12	32	32	NUM
cana-5692	162	13	no	no	NOUN
cana-5692	162	14	.	.	PUNCT
cana-5692	163	1	4s	4s	NUM
cana-5692	163	2	(	(	PUNCT
cana-5692	163	3	2025	2025	NUM
cana-5692	163	4	)	)	PUNCT
cana-5692	163	5	737	737	NUM
cana-5692	164	1	https://internationalpubls.co	https://internationalpubls.co	X
cana-5692	164	2	m	m	NOUN
cana-5692	164	3	[	[	X
cana-5692	164	4	6	6	NUM
cana-5692	164	5	]	]	PUNCT
cana-5692	164	6	v.	v.	ADP
cana-5692	164	7	s.	s.	PROPN
cana-5692	164	8	tseng	tseng	PROPN
cana-5692	164	9	,	,	PUNCT
cana-5692	164	10	j.-c	j.-c	PROPN
cana-5692	164	11	.	.	PUNCT
cana-5692	165	1	ying	ying	PROPN
cana-5692	165	2	,	,	PUNCT
cana-5692	165	3	c.-w	c.-w	PROPN
cana-5692	165	4	.	.	PUNCT
cana-5692	166	1	huang	huang	PROPN
cana-5692	166	2	,	,	PUNCT
cana-5692	166	3	y.	y.	PROPN
cana-5692	166	4	kao	kao	PROPN
cana-5692	166	5	,	,	PUNCT
cana-5692	166	6	and	and	CCONJ
cana-5692	166	7	k.-t	k.-t	PROPN
cana-5692	166	8	.	.	PUNCT
cana-5692	167	1	chen	chen	PROPN
cana-5692	167	2	,	,	PUNCT
cana-5692	167	3	―fraudetector	―fraudetector	NOUN
cana-5692	167	4	:	:	PUNCT
cana-5692	167	5	a	a	DET
cana-5692	167	6	graph	graph	NOUN
cana-5692	167	7	-	-	PUNCT
cana-5692	167	8	miningbased	miningbase	VERB
cana-5692	167	9	framework	framework	NOUN
cana-5692	167	10	for	for	ADP
cana-5692	167	11	fraudulent	fraudulent	ADJ
cana-5692	167	12	phone	phone	NOUN
cana-5692	167	13	call	call	NOUN
cana-5692	167	14	detection,‖	detection,‖	PROPN
cana-5692	167	15	in	in	ADP
cana-5692	167	16	proc	proc	NOUN
cana-5692	167	17	.	.	PUNCT
cana-5692	168	1	21st	21st	PROPN
cana-5692	168	2	acm	acm	PROPN
cana-5692	168	3	sigkdd	sigkdd	NOUN
cana-5692	168	4	int	int	NOUN
cana-5692	168	5	.	.	PUNCT
cana-5692	168	6	conf	conf	PROPN
cana-5692	168	7	.	.	PUNCT
cana-5692	168	8	knowl	knowl	PROPN
cana-5692	168	9	.	.	PUNCT
cana-5692	169	1	discovery	discovery	NOUN
cana-5692	169	2	data	data	PROPN
cana-5692	169	3	mining	mining	NOUN
cana-5692	169	4	,	,	PUNCT
cana-5692	169	5	aug	aug	PROPN
cana-5692	169	6	.	.	PROPN
cana-5692	169	7	2015	2015	NUM
cana-5692	169	8	,	,	PUNCT
cana-5692	169	9	pp	pp	ADJ
cana-5692	169	10	.	.	PUNCT
cana-5692	170	1	2157–2166	2157–2166	NUM
cana-5692	170	2	[	[	SYM
cana-5692	170	3	7	7	X
cana-5692	170	4	]	]	X
cana-5692	170	5	y.	y.	PROPN
cana-5692	170	6	duan	duan	PROPN
cana-5692	170	7	et	et	PROPN
cana-5692	170	8	al	al	PROPN
cana-5692	170	9	.	.	PROPN
cana-5692	170	10	,	,	PUNCT
cana-5692	170	11	―dual	―dual	ADJ
cana-5692	170	12	cost	cost	NOUN
cana-5692	170	13	-	-	PUNCT
cana-5692	170	14	sensitive	sensitive	ADJ
cana-5692	170	15	graph	graph	NOUN
cana-5692	170	16	convolutional	convolutional	ADJ
cana-5692	170	17	network,‖	network,‖	PROPN
cana-5692	170	18	in	in	ADP
cana-5692	170	19	proc	proc	NOUN
cana-5692	170	20	.	.	PUNCT
cana-5692	171	1	int	int	NOUN
cana-5692	171	2	.	.	PUNCT
cana-5692	172	1	joint	joint	ADJ
cana-5692	172	2	conf	conf	NOUN
cana-5692	172	3	.	.	PUNCT
cana-5692	173	1	neural	neural	ADJ
cana-5692	173	2	netw	netw	NOUN
cana-5692	173	3	.	.	PUNCT
cana-5692	174	1	(	(	PUNCT
cana-5692	174	2	ijcnn	ijcnn	PROPN
cana-5692	174	3	)	)	PUNCT
cana-5692	174	4	,	,	PUNCT
cana-5692	174	5	jul	jul	PROPN
cana-5692	174	6	.	.	PROPN
cana-5692	174	7	2022	2022	NUM
cana-5692	174	8	,	,	PUNCT
cana-5692	174	9	pp	pp	ADV
cana-5692	174	10	.	.	PUNCT
cana-5692	175	1	1–8	1–8	X
cana-5692	175	2	.	.	PUNCT
cana-5692	176	1	[	[	X
cana-5692	176	2	8	8	NUM
cana-5692	176	3	]	]	X
cana-5692	176	4	y.	y.	PROPN
cana-5692	176	5	wang	wang	PROPN
cana-5692	176	6	,	,	PUNCT
cana-5692	176	7	y.	y.	PROPN
cana-5692	176	8	zhao	zhao	PROPN
cana-5692	176	9	,	,	PUNCT
cana-5692	176	10	n.	n.	NOUN
cana-5692	176	11	shah	shah	NOUN
cana-5692	176	12	,	,	PUNCT
cana-5692	176	13	and	and	CCONJ
cana-5692	176	14	t.	t.	PROPN
cana-5692	176	15	derr	derr	PROPN
cana-5692	176	16	,	,	PUNCT
cana-5692	176	17	―imbalanced	―imbalance	VERB
cana-5692	176	18	graph	graph	NOUN
cana-5692	176	19	classification	classification	NOUN
cana-5692	176	20	via	via	ADP
cana-5692	176	21	graph	graph	NOUN
cana-5692	176	22	-	-	PUNCT
cana-5692	176	23	of	of	ADP
cana-5692	176	24	-	-	PUNCT
cana-5692	176	25	graph	graph	NOUN
cana-5692	176	26	neural	neural	ADJ
cana-5692	176	27	networks,‖	networks,‖	PROPN
cana-5692	176	28	in	in	ADP
cana-5692	176	29	proc	proc	NOUN
cana-5692	176	30	.	.	PUNCT
cana-5692	177	1	31st	31st	PROPN
cana-5692	177	2	acm	acm	PROPN
cana-5692	177	3	int	int	PROPN
cana-5692	177	4	.	.	PUNCT
cana-5692	178	1	conf	conf	PROPN
cana-5692	178	2	.	.	PUNCT
cana-5692	179	1	inf	inf	PROPN
cana-5692	179	2	.	.	PROPN
cana-5692	179	3	knowl	knowl	PROPN
cana-5692	179	4	.	.	PUNCT
cana-5692	180	1	manage	manage	VERB
cana-5692	180	2	.	.	PUNCT
cana-5692	180	3	,	,	PUNCT
cana-5692	180	4	oct	oct	PROPN
cana-5692	180	5	.	.	PROPN
cana-5692	180	6	2022	2022	NUM
cana-5692	180	7	,	,	PUNCT
cana-5692	180	8	pp	pp	ADJ
cana-5692	180	9	.	.	PUNCT
cana-5692	181	1	2067–2076	2067–2076	NUM
cana-5692	182	1	[	[	X
cana-5692	182	2	9	9	NUM
cana-5692	182	3	]	]	PUNCT
cana-5692	182	4	x.	x.	NOUN
cana-5692	182	5	li	li	PROPN
cana-5692	182	6	et	et	PROPN
cana-5692	182	7	al	al	PROPN
cana-5692	182	8	.	.	PROPN
cana-5692	182	9	,	,	PUNCT
cana-5692	182	10	―graph	―graph	X
cana-5692	182	11	neural	neural	ADJ
cana-5692	182	12	network	network	NOUN
cana-5692	182	13	with	with	ADP
cana-5692	182	14	curriculum	curriculum	NOUN
cana-5692	182	15	learning	learn	VERB
cana-5692	182	16	for	for	ADP
cana-5692	182	17	imbalanced	imbalanced	ADJ
cana-5692	182	18	node	node	NOUN
cana-5692	182	19	classification,‖	classification,‖	PROPN
cana-5692	182	20	2022	2022	NUM
cana-5692	182	21	,	,	PUNCT
cana-5692	182	22	arxiv:2202.02529	arxiv:2202.02529	ADV
cana-5692	182	23	.	.	PUNCT
cana-5692	183	1	[	[	X
cana-5692	183	2	10	10	NUM
cana-5692	183	3	]	]	X
cana-5692	183	4	y.	y.	PROPN
cana-5692	183	5	wang	wang	PROPN
cana-5692	183	6	,	,	PUNCT
cana-5692	183	7	c.	c.	PROPN
cana-5692	183	8	aggarwal	aggarwal	PROPN
cana-5692	183	9	,	,	PUNCT
cana-5692	183	10	and	and	CCONJ
cana-5692	183	11	t.	t.	PROPN
cana-5692	183	12	derr	derr	PROPN
cana-5692	183	13	,	,	PUNCT
cana-5692	183	14	―distance	―distance	NOUN
cana-5692	183	15	-	-	ADJ
cana-5692	183	16	wise	wise	ADJ
cana-5692	183	17	prototypical	prototypical	ADJ
cana-5692	183	18	graph	graph	NOUN
cana-5692	183	19	neural	neural	ADJ
cana-5692	183	20	network	network	NOUN
cana-5692	183	21	in	in	ADP
cana-5692	183	22	node	node	ADJ
cana-5692	183	23	imbalance	imbalance	NOUN
cana-5692	183	24	classification,‖	classification,‖	PROPN
cana-5692	183	25	2021	2021	NUM
cana-5692	183	26	,	,	PUNCT
cana-5692	183	27	arxiv:2110.12035	arxiv:2110.12035	NOUN
cana-5692	183	28	[	[	X
cana-5692	183	29	11	11	NUM
cana-5692	183	30	]	]	PUNCT
cana-5692	183	31	m.	m.	NOUN
cana-5692	183	32	shi	shi	PROPN
cana-5692	183	33	,	,	PUNCT
cana-5692	183	34	y.	y.	PROPN
cana-5692	183	35	tang	tang	PROPN
cana-5692	183	36	,	,	PUNCT
cana-5692	183	37	x.	x.	PROPN
cana-5692	183	38	zhu	zhu	PROPN
cana-5692	183	39	,	,	PUNCT
cana-5692	183	40	d.	d.	PROPN
cana-5692	183	41	wilson	wilson	PROPN
cana-5692	183	42	,	,	PUNCT
cana-5692	183	43	and	and	CCONJ
cana-5692	183	44	j.	j.	PROPN
cana-5692	183	45	liu	liu	PROPN
cana-5692	183	46	,	,	PUNCT
cana-5692	183	47	―multi	―multi	NOUN
cana-5692	183	48	-	-	ADJ
cana-5692	183	49	class	class	NOUN
cana-5692	183	50	imbalanced	imbalanced	ADJ
cana-5692	183	51	graph	graph	NOUN
cana-5692	183	52	convolutional	convolutional	ADJ
cana-5692	183	53	network	network	NOUN
cana-5692	183	54	learning,‖	learning,‖	PROPN
cana-5692	183	55	in	in	ADP
cana-5692	183	56	proc	proc	NOUN
cana-5692	183	57	.	.	PUNCT
cana-5692	183	58	29th	29th	ADJ
cana-5692	183	59	int	int	NOUN
cana-5692	183	60	.	.	PUNCT
cana-5692	184	1	joint	joint	ADJ
cana-5692	184	2	conf	conf	NOUN
cana-5692	184	3	.	.	PUNCT
cana-5692	185	1	artif	artif	PROPN
cana-5692	185	2	.	.	PUNCT
cana-5692	186	1	intell	intell	PROPN
cana-5692	186	2	.	.	PUNCT
cana-5692	186	3	,	,	PUNCT
cana-5692	186	4	jul	jul	PROPN
cana-5692	186	5	.	.	PROPN
cana-5692	186	6	2020	2020	NUM
cana-5692	186	7	,	,	PUNCT
cana-5692	186	8	pp	pp	ADV
cana-5692	186	9	.	.	PUNCT
cana-5692	187	1	1–7	1–7	NUM
cana-5692	188	1	[	[	X
cana-5692	188	2	12	12	NUM
cana-5692	188	3	]	]	X
cana-5692	188	4	r.	r.	PROPN
cana-5692	188	5	li	li	PROPN
cana-5692	188	6	,	,	PUNCT
cana-5692	188	7	h.	h.	PROPN
cana-5692	188	8	chen	chen	PROPN
cana-5692	188	9	,	,	PUNCT
cana-5692	188	10	s.	s.	PROPN
cana-5692	188	11	liu	liu	PROPN
cana-5692	188	12	,	,	PUNCT
cana-5692	188	13	x.	x.	PROPN
cana-5692	188	14	li	li	PROPN
cana-5692	188	15	,	,	PUNCT
cana-5692	188	16	y.	y.	PROPN
cana-5692	188	17	li	li	PROPN
cana-5692	188	18	,	,	PUNCT
cana-5692	188	19	and	and	CCONJ
cana-5692	188	20	b.	b.	PROPN
cana-5692	188	21	wang	wang	PROPN
cana-5692	188	22	,	,	PUNCT
cana-5692	188	23	―incomplete	―incomplete	ADJ
cana-5692	188	24	mixed	mix	VERB
cana-5692	188	25	data	data	NOUN
cana-5692	188	26	-	-	PUNCT
cana-5692	188	27	driven	drive	VERB
cana-5692	188	28	outlier	outlier	NOUN
cana-5692	188	29	detection	detection	NOUN
cana-5692	188	30	based	base	VERB
cana-5692	188	31	on	on	ADP
cana-5692	188	32	local	local	ADJ
cana-5692	188	33	–	–	PUNCT
cana-5692	188	34	global	global	ADJ
cana-5692	188	35	neighborhood	neighborhood	NOUN
cana-5692	188	36	information,‖	information,‖	PROPN
cana-5692	188	37	inf	inf	PROPN
cana-5692	188	38	.	.	PUNCT
cana-5692	189	1	sci	sci	PROPN
cana-5692	189	2	.	.	PROPN
cana-5692	189	3	,	,	PUNCT
cana-5692	189	4	vol	vol	NOUN
cana-5692	189	5	.	.	PUNCT
cana-5692	190	1	633	633	NUM
cana-5692	190	2	,	,	PUNCT
cana-5692	190	3	pp	pp	ADJ
cana-5692	190	4	.	.	PUNCT
cana-5692	191	1	204–225	204–225	NUM
cana-5692	191	2	,	,	PUNCT
cana-5692	191	3	jul	jul	PROPN
cana-5692	191	4	.	.	PROPN
cana-5692	191	5	2023	2023	NUM
cana-5692	192	1	[	[	X
cana-5692	192	2	13	13	NUM
cana-5692	192	3	]	]	SYM
cana-5692	192	4	.a	.a	PROPN
cana-5692	192	5	.	.	PUNCT
cana-5692	193	1	ravi	ravi	PROPN
cana-5692	193	2	,	,	PUNCT
cana-5692	193	3	m.	m.	NOUN
cana-5692	193	4	msahli	msahli	PROPN
cana-5692	193	5	,	,	PUNCT
cana-5692	193	6	h.	h.	PROPN
cana-5692	193	7	qiu	qiu	PROPN
cana-5692	193	8	,	,	PUNCT
cana-5692	193	9	g.	g.	PROPN
cana-5692	193	10	memmi	memmi	PROPN
cana-5692	193	11	,	,	PUNCT
cana-5692	193	12	a.	a.	NOUN
cana-5692	193	13	bifet	bifet	PROPN
cana-5692	193	14	,	,	PUNCT
cana-5692	193	15	and	and	CCONJ
cana-5692	193	16	m.	m.	PROPN
cana-5692	193	17	qiu	qiu	PROPN
cana-5692	193	18	,	,	PUNCT
cana-5692	193	19	―wangiri	―wangiri	ADP
cana-5692	193	20	fraud	fraud	NOUN
cana-5692	193	21	:	:	PUNCT
cana-5692	193	22	pattern	pattern	NOUN
cana-5692	193	23	analysis	analysis	NOUN
cana-5692	193	24	and	and	CCONJ
cana-5692	193	25	machine	machine	NOUN
cana-5692	193	26	-	-	PUNCT
cana-5692	193	27	learning	learning	NOUN
cana-5692	193	28	-	-	PUNCT
cana-5692	193	29	based	base	VERB
cana-5692	193	30	detection,‖	detection,‖	PROPN
cana-5692	193	31	ieee	ieee	NOUN
cana-5692	193	32	internet	internet	NOUN
cana-5692	193	33	things	thing	NOUN
cana-5692	193	34	j.	j.	PROPN
cana-5692	193	35	,	,	PUNCT
cana-5692	193	36	vol	vol	NOUN
cana-5692	193	37	.	.	PROPN
cana-5692	194	1	10	10	NUM
cana-5692	194	2	,	,	PUNCT
cana-5692	194	3	no	no	INTJ
cana-5692	194	4	.	.	NOUN
cana-5692	194	5	8	8	NUM
cana-5692	194	6	,	,	PUNCT
cana-5692	194	7	pp	pp	ADJ
cana-5692	194	8	.	.	PUNCT
cana-5692	195	1	6794–6802	6794–6802	NUM
cana-5692	195	2	,	,	PUNCT
cana-5692	195	3	apr	apr	PROPN
cana-5692	195	4	.	.	PUNCT
cana-5692	195	5	2023	2023	NUM
cana-5692	196	1	[	[	X
cana-5692	196	2	14	14	NUM
cana-5692	196	3	]	]	X
cana-5692	196	4	y.	y.	PROPN
cana-5692	196	5	jiang	jiang	PROPN
cana-5692	196	6	,	,	PUNCT
cana-5692	196	7	g.	g.	PROPN
cana-5692	196	8	liu	liu	PROPN
cana-5692	196	9	,	,	PUNCT
cana-5692	196	10	j.	j.	PROPN
cana-5692	196	11	wu	wu	PROPN
cana-5692	196	12	,	,	PUNCT
cana-5692	196	13	and	and	CCONJ
cana-5692	196	14	h.	h.	PROPN
cana-5692	196	15	lin	lin	PROPN
cana-5692	196	16	,	,	PUNCT
cana-5692	196	17	―telecom	―telecom	X
cana-5692	196	18	fraud	fraud	NOUN
cana-5692	196	19	detection	detection	NOUN
cana-5692	196	20	via	via	ADP
cana-5692	196	21	hawkes	hawke	NOUN
cana-5692	196	22	-	-	PUNCT
cana-5692	196	23	enhanced	enhance	VERB
cana-5692	196	24	sequence	sequence	NOUN
cana-5692	196	25	model,‖	model,‖	PROPN
cana-5692	196	26	ieee	ieee	PROPN
cana-5692	196	27	trans	trans	PROPN
cana-5692	196	28	.	.	PROPN
cana-5692	196	29	knowl	knowl	PROPN
cana-5692	196	30	.	.	PUNCT
cana-5692	197	1	data	data	PROPN
cana-5692	197	2	eng	eng	PROPN
cana-5692	197	3	.	.	PROPN
cana-5692	197	4	,	,	PUNCT
cana-5692	197	5	vol	vol	NOUN
cana-5692	197	6	.	.	PROPN
cana-5692	197	7	35	35	NUM
cana-5692	197	8	,	,	PUNCT
cana-5692	197	9	no	no	INTJ
cana-5692	197	10	.	.	NOUN
cana-5692	197	11	5	5	NUM
cana-5692	197	12	,	,	PUNCT
cana-5692	197	13	pp	pp	ADJ
cana-5692	197	14	.	.	PUNCT
cana-5692	198	1	5311–5324	5311–5324	NUM
cana-5692	198	2	,	,	PUNCT
cana-5692	198	3	may	may	AUX
cana-5692	198	4	2023	2023	NUM
cana-5692	198	5	.	.	PUNCT
cana-5692	199	1	[	[	X
cana-5692	199	2	15	15	NUM
cana-5692	199	3	]	]	X
cana-5692	199	4	d.	d.	PROPN
cana-5692	199	5	wang	wang	PROPN
cana-5692	199	6	et	et	PROPN
cana-5692	199	7	al	al	PROPN
cana-5692	199	8	.	.	PROPN
cana-5692	199	9	,	,	PUNCT
cana-5692	199	10	―a	―a	PROPN
cana-5692	199	11	semi	semi	ADJ
cana-5692	199	12	-	-	ADJ
cana-5692	199	13	supervised	supervised	ADJ
cana-5692	199	14	graph	graph	NOUN
cana-5692	199	15	attentive	attentive	ADJ
cana-5692	199	16	network	network	NOUN
cana-5692	199	17	for	for	ADP
cana-5692	199	18	financial	financial	ADJ
cana-5692	199	19	fraud	fraud	NOUN
cana-5692	199	20	detection,‖	detection,‖	PROPN
cana-5692	199	21	in	in	ADP
cana-5692	199	22	proc	proc	NOUN
cana-5692	199	23	.	.	PUNCT
cana-5692	200	1	ieee	ieee	PROPN
cana-5692	200	2	int	int	PROPN
cana-5692	200	3	.	.	PUNCT
cana-5692	201	1	conf	conf	PROPN
cana-5692	201	2	.	.	PUNCT
cana-5692	202	1	data	data	PROPN
cana-5692	202	2	mining	mining	NOUN
cana-5692	202	3	(	(	PUNCT
cana-5692	202	4	icdm	icdm	NOUN
cana-5692	202	5	)	)	PUNCT
cana-5692	202	6	,	,	PUNCT
cana-5692	202	7	nov	nov	PROPN
cana-5692	202	8	.	.	PROPN
cana-5692	202	9	2019	2019	NUM
cana-5692	202	10	,	,	PUNCT
cana-5692	202	11	pp	pp	ADV
cana-5692	202	12	.	.	PUNCT
cana-5692	203	1	598–607	598–607	NUM
cana-5692	204	1	[	[	X
cana-5692	204	2	16	16	NUM
cana-5692	204	3	]	]	PUNCT
cana-5692	204	4	z.	z.	PROPN
cana-5692	204	5	liu	liu	PROPN
cana-5692	204	6	et	et	PROPN
cana-5692	204	7	al	al	PROPN
cana-5692	204	8	.	.	PROPN
cana-5692	204	9	,	,	PUNCT
cana-5692	204	10	―geniepath	―geniepath	NUM
cana-5692	204	11	:	:	PUNCT
cana-5692	204	12	graph	graph	VERB
cana-5692	204	13	neural	neural	ADJ
cana-5692	204	14	networks	network	NOUN
cana-5692	204	15	with	with	ADP
cana-5692	204	16	adaptive	adaptive	ADJ
cana-5692	204	17	receptive	receptive	ADJ
cana-5692	204	18	paths,‖	paths,‖	PROPN
cana-5692	204	19	in	in	ADP
cana-5692	204	20	proc	proc	NOUN
cana-5692	204	21	.	.	PUNCT
cana-5692	205	1	aaai	aaai	PROPN
cana-5692	205	2	conf	conf	PROPN
cana-5692	205	3	.	.	PUNCT
cana-5692	206	1	artif	artif	PROPN
cana-5692	206	2	.	.	PUNCT
cana-5692	207	1	intell	intell	PROPN
cana-5692	207	2	.	.	PUNCT
cana-5692	207	3	,	,	PUNCT
cana-5692	207	4	2019	2019	NUM
cana-5692	207	5	,	,	PUNCT
cana-5692	207	6	vol	vol	NOUN
cana-5692	207	7	.	.	PROPN
cana-5692	208	1	33	33	NUM
cana-5692	208	2	,	,	PUNCT
cana-5692	208	3	no	no	INTJ
cana-5692	208	4	.	.	NOUN
cana-5692	208	5	1	1	NUM
cana-5692	208	6	,	,	PUNCT
cana-5692	208	7	pp	pp	ADJ
cana-5692	208	8	.	.	PUNCT
cana-5692	209	1	4424–4431	4424–4431	NOUN
cana-5692	209	2	.	.	PUNCT
cana-5692	210	1	[	[	X
cana-5692	210	2	17	17	NUM
cana-5692	210	3	]	]	X
cana-5692	210	4	y.	y.	PROPN
cana-5692	210	5	xie	xie	PROPN
cana-5692	210	6	,	,	PUNCT
cana-5692	210	7	g.	g.	PROPN
cana-5692	210	8	liu	liu	PROPN
cana-5692	210	9	,	,	PUNCT
cana-5692	210	10	c.	c.	PROPN
cana-5692	210	11	yan	yan	PROPN
cana-5692	210	12	,	,	PUNCT
cana-5692	210	13	c.	c.	PROPN
cana-5692	210	14	jiang	jiang	PROPN
cana-5692	210	15	,	,	PUNCT
cana-5692	210	16	and	and	CCONJ
cana-5692	210	17	m.	m.	PROPN
cana-5692	210	18	zhou	zhou	PROPN
cana-5692	210	19	,	,	PUNCT
cana-5692	210	20	―time	―time	NOUN
cana-5692	210	21	-	-	ADJ
cana-5692	210	22	aware	aware	ADJ
cana-5692	210	23	attentionbased	attentionbase	VERB
cana-5692	210	24	gated	gate	VERB
cana-5692	210	25	network	network	NOUN
cana-5692	210	26	for	for	ADP
cana-5692	210	27	credit	credit	NOUN
cana-5692	210	28	card	card	NOUN
cana-5692	210	29	fraud	fraud	NOUN
cana-5692	210	30	detection	detection	NOUN
cana-5692	210	31	by	by	ADP
cana-5692	210	32	extracting	extract	VERB
cana-5692	210	33	transactional	transactional	ADJ
cana-5692	210	34	behaviors,‖	behaviors,‖	PROPN
cana-5692	210	35	ieee	ieee	PROPN
cana-5692	210	36	trans	trans	PROPN
cana-5692	210	37	.	.	PUNCT
cana-5692	211	1	computat	computat	PROPN
cana-5692	211	2	.	.	PUNCT
cana-5692	212	1	social	social	ADJ
cana-5692	212	2	syst	syst	PROPN
cana-5692	212	3	.	.	PUNCT
cana-5692	212	4	,	,	PUNCT
cana-5692	212	5	vol	vol	NOUN
cana-5692	212	6	.	.	PROPN
cana-5692	213	1	10	10	NUM
cana-5692	213	2	,	,	PUNCT
cana-5692	213	3	no	no	INTJ
cana-5692	213	4	.	.	NOUN
cana-5692	213	5	3	3	NUM
cana-5692	213	6	,	,	PUNCT
cana-5692	213	7	pp	pp	ADJ
cana-5692	213	8	.	.	PUNCT
cana-5692	214	1	1004	1004	NUM
cana-5692	214	2	–	–	PUNCT
cana-5692	214	3	1016	1016	NUM
cana-5692	214	4	,	,	PUNCT
cana-5692	214	5	jun	jun	PROPN
cana-5692	214	6	.	.	PROPN
cana-5692	214	7	2023	2023	NUM
cana-5692	215	1	[	[	X
cana-5692	215	2	18	18	NUM
cana-5692	215	3	]	]	X
cana-5692	215	4	y.	y.	PROPN
cana-5692	215	5	xie	xie	PROPN
cana-5692	215	6	,	,	PUNCT
cana-5692	215	7	g.	g.	PROPN
cana-5692	215	8	liu	liu	PROPN
cana-5692	215	9	,	,	PUNCT
cana-5692	215	10	c.	c.	PROPN
cana-5692	215	11	yan	yan	PROPN
cana-5692	215	12	,	,	PUNCT
cana-5692	215	13	c.	c.	PROPN
cana-5692	215	14	jiang	jiang	PROPN
cana-5692	215	15	,	,	PUNCT
cana-5692	215	16	m.	m.	NOUN
cana-5692	215	17	zhou	zhou	PROPN
cana-5692	215	18	,	,	PUNCT
cana-5692	215	19	and	and	CCONJ
cana-5692	215	20	m.	m.	PROPN
cana-5692	215	21	li	li	PROPN
cana-5692	215	22	,	,	PUNCT
cana-5692	215	23	―learning	―learne	VERB
cana-5692	215	24	transactional	transactional	ADJ
cana-5692	215	25	behavioral	behavioral	ADJ
cana-5692	215	26	representations	representation	NOUN
cana-5692	215	27	for	for	ADP
cana-5692	215	28	credit	credit	NOUN
cana-5692	215	29	card	card	NOUN
cana-5692	215	30	fraud	fraud	NOUN
cana-5692	215	31	detection,‖	detection,‖	PROPN
cana-5692	215	32	ieee	ieee	PROPN
cana-5692	215	33	trans	trans	PROPN
cana-5692	215	34	.	.	PUNCT
cana-5692	216	1	neural	neural	ADJ
cana-5692	216	2	netw	netw	NOUN
cana-5692	216	3	.	.	PUNCT
cana-5692	217	1	learn	learn	VERB
cana-5692	217	2	.	.	PUNCT
cana-5692	218	1	syst	syst	PROPN
cana-5692	218	2	.	.	PROPN
cana-5692	218	3	,	,	PUNCT
cana-5692	218	4	early	early	ADJ
cana-5692	218	5	access	access	NOUN
cana-5692	218	6	,	,	PUNCT
cana-5692	218	7	oct	oct	PROPN
cana-5692	218	8	.	.	PROPN
cana-5692	218	9	5	5	NUM
cana-5692	218	10	,	,	PUNCT
cana-5692	218	11	2022	2022	NUM
cana-5692	218	12	,	,	PUNCT
cana-5692	218	13	doi	doi	NOUN
cana-5692	218	14	:	:	PUNCT
cana-5692	218	15	10.1109	10.1109	NUM
cana-5692	218	16	/	/	SYM
cana-5692	218	17	tnnls.2022.3208967	tnnls.2022.3208967	NOUN
cana-5692	219	1	[	[	X
cana-5692	219	2	19	19	NUM
cana-5692	219	3	]	]	X
cana-5692	219	4	d.	d.	PROPN
cana-5692	219	5	wang	wang	PROPN
cana-5692	219	6	et	et	PROPN
cana-5692	219	7	al	al	PROPN
cana-5692	219	8	.	.	PROPN
cana-5692	219	9	,	,	PUNCT
cana-5692	219	10	―a	―a	PROPN
cana-5692	219	11	semi	semi	ADJ
cana-5692	219	12	-	-	ADJ
cana-5692	219	13	supervised	supervised	ADJ
cana-5692	219	14	graph	graph	NOUN
cana-5692	219	15	attentive	attentive	ADJ
cana-5692	219	16	network	network	NOUN
cana-5692	219	17	for	for	ADP
cana-5692	219	18	financial	financial	ADJ
cana-5692	219	19	fraud	fraud	NOUN
cana-5692	219	20	detection,‖	detection,‖	PROPN
cana-5692	219	21	in	in	ADP
cana-5692	219	22	proc	proc	NOUN
cana-5692	219	23	.	.	PUNCT
cana-5692	220	1	ieee	ieee	PROPN
cana-5692	220	2	int	int	PROPN
cana-5692	220	3	.	.	PUNCT
cana-5692	221	1	conf	conf	PROPN
cana-5692	221	2	.	.	PUNCT
cana-5692	222	1	data	data	PROPN
cana-5692	222	2	mining	mining	NOUN
cana-5692	222	3	(	(	PUNCT
cana-5692	222	4	icdm	icdm	NOUN
cana-5692	222	5	)	)	PUNCT
cana-5692	222	6	,	,	PUNCT
cana-5692	222	7	nov	nov	PROPN
cana-5692	222	8	.	.	PROPN
cana-5692	222	9	2019	2019	NUM
cana-5692	222	10	,	,	PUNCT
cana-5692	222	11	pp	pp	ADJ
cana-5692	222	12	.	.	PUNCT
cana-5692	223	1	598–607	598–607	NUM
cana-5692	223	2	.	.	PUNCT
cana-5692	224	1	[	[	X
cana-5692	224	2	20	20	NUM
cana-5692	224	3	]	]	PUNCT
cana-5692	224	4	f.	f.	PROPN
cana-5692	224	5	santos	santos	PROPN
cana-5692	224	6	,	,	PUNCT
cana-5692	224	7	j.	j.	PROPN
cana-5692	224	8	ye	ye	PROPN
cana-5692	224	9	,	,	PUNCT
cana-5692	224	10	f.	f.	PROPN
cana-5692	224	11	masrour	masrour	PROPN
cana-5692	224	12	,	,	PUNCT
cana-5692	224	13	p.-n	p.-n	PROPN
cana-5692	224	14	.	.	PUNCT
cana-5692	225	1	tan	tan	PROPN
cana-5692	225	2	,	,	PUNCT
cana-5692	225	3	and	and	CCONJ
cana-5692	225	4	a.-h	a.-h	PROPN
cana-5692	225	5	.	.	PUNCT
cana-5692	226	1	esfahanian	esfahanian	ADJ
cana-5692	226	2	,	,	PUNCT
cana-5692	226	3	―facsgcn	―facsgcn	PART
cana-5692	226	4	:	:	PUNCT
cana-5692	226	5	fairness	fairness	NOUN
cana-5692	226	6	-	-	PUNCT
cana-5692	226	7	aware	aware	ADJ
cana-5692	226	8	costsensitive	costsensitive	ADJ
cana-5692	226	9	boosting	boosting	NOUN
cana-5692	226	10	of	of	ADP
cana-5692	226	11	graph	graph	NOUN
cana-5692	226	12	convolutional	convolutional	ADJ
cana-5692	226	13	networks,‖	networks,‖	PROPN
cana-5692	226	14	in	in	ADP
cana-5692	226	15	proc	proc	NOUN
cana-5692	226	16	.	.	PUNCT
cana-5692	227	1	int	int	NOUN
cana-5692	227	2	.	.	PUNCT
cana-5692	228	1	joint	joint	ADJ
cana-5692	228	2	conf	conf	NOUN
cana-5692	228	3	.	.	PUNCT
cana-5692	229	1	neural	neural	ADJ
cana-5692	229	2	netw	netw	NOUN
cana-5692	229	3	.	.	PUNCT
cana-5692	230	1	(	(	PUNCT
cana-5692	230	2	ijcnn	ijcnn	PROPN
cana-5692	230	3	)	)	PUNCT
cana-5692	230	4	,	,	PUNCT
cana-5692	230	5	jul	jul	PROPN
cana-5692	230	6	.	.	PROPN
cana-5692	230	7	2022	2022	NUM
cana-5692	230	8	,	,	PUNCT
cana-5692	230	9	pp	pp	ADV
cana-5692	230	10	.	.	PUNCT
cana-5692	231	1	1–8	1–8	X
cana-5692	231	2	.	.	PUNCT