id	sid	tid	token	lemma	pos
easat-4020	1	1	edelweiss	edelweiss	PROPN
easat-4020	1	2	applied	apply	VERB
easat-4020	1	3	science	science	NOUN
easat-4020	1	4	and	and	CCONJ
easat-4020	1	5	technology	technology	NOUN
easat-4020	1	6	issn	issn	PROPN
easat-4020	1	7	:	:	PUNCT
easat-4020	1	8	2576	2576	NUM
easat-4020	1	9	-	-	SYM
easat-4020	1	10	8484	8484	NUM
easat-4020	1	11	vol	vol	NOUN
easat-4020	1	12	.	.	PROPN
easat-4020	1	13	8	8	NUM
easat-4020	1	14	,	,	PUNCT
easat-4020	1	15	no	no	INTJ
easat-4020	1	16	.	.	NOUN
easat-4020	1	17	6	6	NUM
easat-4020	1	18	,	,	PUNCT
easat-4020	1	19	9438	9438	NUM
easat-4020	1	20	-	-	SYM
easat-4020	1	21	9449	9449	NUM
easat-4020	1	22	2024	2024	NUM
easat-4020	1	23	publisher	publisher	NOUN
easat-4020	1	24	:	:	PUNCT
easat-4020	1	25	learning	learn	VERB
easat-4020	1	26	gate	gate	NOUN
easat-4020	1	27	doi	doi	PROPN
easat-4020	1	28	:	:	PUNCT
easat-4020	1	29	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	1	30	©	©	ADP
easat-4020	1	31	2024	2024	NUM
easat-4020	1	32	by	by	ADP
easat-4020	1	33	the	the	DET
easat-4020	1	34	author	author	NOUN
easat-4020	1	35	;	;	PUNCT
easat-4020	1	36	licensee	licensee	PROPN
easat-4020	1	37	learning	learning	NOUN
easat-4020	1	38	gate	gate	NOUN
easat-4020	1	39	©	©	PROPN
easat-4020	1	40	2024	2024	NUM
easat-4020	1	41	by	by	ADP
easat-4020	1	42	the	the	DET
easat-4020	1	43	author	author	NOUN
easat-4020	1	44	;	;	PUNCT
easat-4020	1	45	licensee	licensee	PROPN
easat-4020	1	46	learning	learn	VERB
easat-4020	1	47	gate	gate	NOUN
easat-4020	1	48	*	*	PUNCT
easat-4020	1	49	correspondence	correspondence	NOUN
easat-4020	1	50	:	:	PUNCT
easat-4020	1	51	wasan@mtu.edu.iq	wasan@mtu.edu.iq	ADJ
easat-4020	1	52	fast	fast	ADJ
easat-4020	1	53	algorithms	algorithm	NOUN
easat-4020	1	54	for	for	ADP
easat-4020	1	55	edge	edge	NOUN
easat-4020	1	56	coloring	color	VERB
easat-4020	1	57	in	in	ADP
easat-4020	1	58	clustered	clustered	ADJ
easat-4020	1	59	hypergraphs	hypergraph	NOUN
easat-4020	1	60	:	:	PUNCT
easat-4020	1	61	a	a	DET
easat-4020	1	62	study	study	NOUN
easat-4020	1	63	of	of	ADP
easat-4020	1	64	computational	computational	ADJ
easat-4020	1	65	efficiency	efficiency	NOUN
easat-4020	1	66	wasan	wasan	PROPN
easat-4020	1	67	mustafa	mustafa	PROPN
easat-4020	1	68	jawad1	jawad1	PROPN
easat-4020	2	1	*	*	PROPN
easat-4020	2	2	1middle	1middle	NUM
easat-4020	2	3	technical	technical	ADJ
easat-4020	2	4	university	university	NOUN
easat-4020	2	5	,	,	PUNCT
easat-4020	2	6	institute	institute	NOUN
easat-4020	2	7	of	of	ADP
easat-4020	2	8	technology	technology	PROPN
easat-4020	2	9	baghdad	baghdad	PROPN
easat-4020	2	10	,	,	PUNCT
easat-4020	2	11	baghdad	baghdad	PROPN
easat-4020	2	12	,	,	PUNCT
easat-4020	2	13	iraq	iraq	PROPN
easat-4020	2	14	:	:	PUNCT
easat-4020	2	15	wasan@mtu.edu.iq	wasan@mtu.edu.iq	PROPN
easat-4020	2	16	(	(	PUNCT
easat-4020	2	17	w.m.j	w.m.j	NOUN
easat-4020	2	18	.	.	PUNCT
easat-4020	2	19	)	)	PUNCT
easat-4020	2	20	.	.	PUNCT
easat-4020	3	1	abstract	abstract	ADV
easat-4020	3	2	:	:	PUNCT
easat-4020	3	3	the	the	DET
easat-4020	3	4	generalization	generalization	NOUN
easat-4020	3	5	of	of	ADP
easat-4020	3	6	edge	edge	NOUN
easat-4020	3	7	coloring	coloring	NOUN
easat-4020	3	8	in	in	ADP
easat-4020	3	9	hypergraphs	hypergraph	NOUN
easat-4020	3	10	,	,	PUNCT
easat-4020	3	11	especially	especially	ADV
easat-4020	3	12	clustered	clustered	ADJ
easat-4020	3	13	ones	one	NOUN
easat-4020	3	14	,	,	PUNCT
easat-4020	3	15	remains	remain	VERB
easat-4020	3	16	an	an	DET
easat-4020	3	17	open	open	ADJ
easat-4020	3	18	problem	problem	NOUN
easat-4020	3	19	due	due	ADP
easat-4020	3	20	to	to	ADP
easat-4020	3	21	the	the	DET
easat-4020	3	22	intricate	intricate	ADJ
easat-4020	3	23	structure	structure	NOUN
easat-4020	3	24	and	and	CCONJ
easat-4020	3	25	organization	organization	NOUN
easat-4020	3	26	of	of	ADP
easat-4020	3	27	hyper	hyper	NOUN
easat-4020	3	28	-	-	ADJ
easat-4020	3	29	edges	edge	NOUN
easat-4020	3	30	grouped	group	VERB
easat-4020	3	31	in	in	ADP
easat-4020	3	32	clusters	cluster	NOUN
easat-4020	3	33	.	.	PUNCT
easat-4020	4	1	this	this	DET
easat-4020	4	2	study	study	NOUN
easat-4020	4	3	addresses	address	VERB
easat-4020	4	4	the	the	DET
easat-4020	4	5	computational	computational	ADJ
easat-4020	4	6	challenges	challenge	NOUN
easat-4020	4	7	associated	associate	VERB
easat-4020	4	8	with	with	ADP
easat-4020	4	9	edge	edge	NOUN
easat-4020	4	10	coloring	color	VERB
easat-4020	4	11	in	in	ADP
easat-4020	4	12	clustered	clustered	ADJ
easat-4020	4	13	hypergraphs	hypergraph	NOUN
easat-4020	4	14	by	by	ADP
easat-4020	4	15	introducing	introduce	VERB
easat-4020	4	16	a	a	DET
easat-4020	4	17	novel	novel	ADJ
easat-4020	4	18	suite	suite	NOUN
easat-4020	4	19	of	of	ADP
easat-4020	4	20	fast	fast	ADJ
easat-4020	4	21	algorithms	algorithm	NOUN
easat-4020	4	22	specifically	specifically	ADV
easat-4020	4	23	designed	design	VERB
easat-4020	4	24	to	to	PART
easat-4020	4	25	achieve	achieve	VERB
easat-4020	4	26	improved	improved	ADJ
easat-4020	4	27	accuracy	accuracy	NOUN
easat-4020	4	28	and	and	CCONJ
easat-4020	4	29	computation	computation	NOUN
easat-4020	4	30	time	time	NOUN
easat-4020	4	31	.	.	PUNCT
easat-4020	5	1	the	the	DET
easat-4020	5	2	algorithms	algorithm	NOUN
easat-4020	5	3	utilize	utilize	VERB
easat-4020	5	4	structural	structural	ADJ
easat-4020	5	5	properties	property	NOUN
easat-4020	5	6	such	such	ADJ
easat-4020	5	7	as	as	ADP
easat-4020	5	8	hypergraph	hypergraph	PROPN
easat-4020	5	9	laplacian	laplacian	ADJ
easat-4020	5	10	spectral	spectral	ADJ
easat-4020	5	11	features	feature	NOUN
easat-4020	5	12	and	and	CCONJ
easat-4020	5	13	submodular	submodular	ADJ
easat-4020	5	14	optimization	optimization	NOUN
easat-4020	5	15	to	to	PART
easat-4020	5	16	enhance	enhance	VERB
easat-4020	5	17	efficiency	efficiency	NOUN
easat-4020	5	18	.	.	PUNCT
easat-4020	6	1	experimental	experimental	ADJ
easat-4020	6	2	results	result	NOUN
easat-4020	6	3	demonstrate	demonstrate	VERB
easat-4020	6	4	a	a	DET
easat-4020	6	5	10	10	NUM
easat-4020	6	6	-	-	SYM
easat-4020	6	7	15	15	NUM
easat-4020	6	8	%	%	NOUN
easat-4020	6	9	improvement	improvement	NOUN
easat-4020	6	10	in	in	ADP
easat-4020	6	11	clustering	clustering	ADJ
easat-4020	6	12	accuracy	accuracy	NOUN
easat-4020	6	13	and	and	CCONJ
easat-4020	6	14	a	a	DET
easat-4020	6	15	20	20	NUM
easat-4020	6	16	%	%	NOUN
easat-4020	6	17	reduction	reduction	NOUN
easat-4020	6	18	in	in	ADP
easat-4020	6	19	computational	computational	ADJ
easat-4020	6	20	time	time	NOUN
easat-4020	6	21	compared	compare	VERB
easat-4020	6	22	to	to	ADP
easat-4020	6	23	baseline	baseline	VERB
easat-4020	6	24	methods	method	NOUN
easat-4020	6	25	,	,	PUNCT
easat-4020	6	26	validating	validate	VERB
easat-4020	6	27	the	the	DET
easat-4020	6	28	approach	approach	NOUN
easat-4020	6	29	for	for	ADP
easat-4020	6	30	both	both	CCONJ
easat-4020	6	31	synthetic	synthetic	ADJ
easat-4020	6	32	and	and	CCONJ
easat-4020	6	33	real	real	ADJ
easat-4020	6	34	-	-	PUNCT
easat-4020	6	35	world	world	NOUN
easat-4020	6	36	datasets	dataset	NOUN
easat-4020	6	37	.	.	PUNCT
easat-4020	7	1	these	these	DET
easat-4020	7	2	findings	finding	NOUN
easat-4020	7	3	contribute	contribute	VERB
easat-4020	7	4	to	to	PART
easat-4020	7	5	hypergraph	hypergraph	VERB
easat-4020	7	6	theory	theory	NOUN
easat-4020	7	7	and	and	CCONJ
easat-4020	7	8	propose	propose	VERB
easat-4020	7	9	a	a	DET
easat-4020	7	10	practical	practical	ADJ
easat-4020	7	11	solution	solution	NOUN
easat-4020	7	12	for	for	ADP
easat-4020	7	13	applications	application	NOUN
easat-4020	7	14	in	in	ADP
easat-4020	7	15	network	network	NOUN
easat-4020	7	16	layout	layout	NOUN
easat-4020	7	17	,	,	PUNCT
easat-4020	7	18	parallel	parallel	ADJ
easat-4020	7	19	computing	computing	NOUN
easat-4020	7	20	frameworks	framework	NOUN
easat-4020	7	21	,	,	PUNCT
easat-4020	7	22	and	and	CCONJ
easat-4020	7	23	data	datum	NOUN
easat-4020	7	24	organization	organization	NOUN
easat-4020	7	25	.	.	PUNCT
easat-4020	8	1	future	future	ADJ
easat-4020	8	2	work	work	NOUN
easat-4020	8	3	could	could	AUX
easat-4020	8	4	further	far	ADV
easat-4020	8	5	optimize	optimize	VERB
easat-4020	8	6	these	these	DET
easat-4020	8	7	algorithms	algorithm	NOUN
easat-4020	8	8	for	for	ADP
easat-4020	8	9	large	large	ADJ
easat-4020	8	10	-	-	PUNCT
easat-4020	8	11	scale	scale	NOUN
easat-4020	8	12	real	real	ADJ
easat-4020	8	13	-	-	PUNCT
easat-4020	8	14	time	time	NOUN
easat-4020	8	15	applications	application	NOUN
easat-4020	8	16	.	.	PUNCT
easat-4020	9	1	keywords	keyword	NOUN
easat-4020	9	2	:	:	PUNCT
easat-4020	9	3	algorithm	algorithm	PROPN
easat-4020	9	4	design	design	NOUN
easat-4020	9	5	,	,	PUNCT
easat-4020	9	6	clustered	clustered	ADJ
easat-4020	9	7	hypergraphs	hypergraph	NOUN
easat-4020	9	8	,	,	PUNCT
easat-4020	9	9	computational	computational	ADJ
easat-4020	9	10	efficiency	efficiency	NOUN
easat-4020	9	11	,	,	PUNCT
easat-4020	9	12	edge	edge	NOUN
easat-4020	9	13	coloring	coloring	NOUN
easat-4020	9	14	,	,	PUNCT
easat-4020	9	15	hypergraph	hypergraph	VERB
easat-4020	9	16	theory	theory	NOUN
easat-4020	9	17	.	.	PUNCT
easat-4020	10	1	1	1	X
easat-4020	10	2	.	.	X
easat-4020	10	3	introduction	introduction	NOUN
easat-4020	10	4	edge	edge	NOUN
easat-4020	10	5	coloring	coloring	NOUN
easat-4020	10	6	is	be	AUX
easat-4020	10	7	an	an	DET
easat-4020	10	8	important	important	ADJ
easat-4020	10	9	and	and	CCONJ
easat-4020	10	10	well	well	ADV
easat-4020	10	11	-	-	PUNCT
easat-4020	10	12	studied	study	VERB
easat-4020	10	13	problem	problem	NOUN
easat-4020	10	14	in	in	ADP
easat-4020	10	15	hypergraph	hypergraph	NOUN
easat-4020	10	16	theory	theory	NOUN
easat-4020	10	17	applicable	applicable	ADJ
easat-4020	10	18	to	to	ADP
easat-4020	10	19	a	a	DET
easat-4020	10	20	variety	variety	NOUN
easat-4020	10	21	of	of	ADP
easat-4020	10	22	fields	field	NOUN
easat-4020	10	23	including	include	VERB
easat-4020	10	24	,	,	PUNCT
easat-4020	10	25	networks	network	NOUN
easat-4020	10	26	,	,	PUNCT
easat-4020	10	27	clustering	clustering	NOUN
easat-4020	10	28	and	and	CCONJ
easat-4020	10	29	molecular	molecular	ADJ
easat-4020	10	30	biology	biology	NOUN
easat-4020	10	31	.	.	PUNCT
easat-4020	11	1	a	a	DET
easat-4020	11	2	hypergraph	hypergraph	NOUN
easat-4020	11	3	can	can	AUX
easat-4020	11	4	be	be	AUX
easat-4020	11	5	thought	think	VERB
easat-4020	11	6	of	of	ADP
easat-4020	11	7	as	as	ADP
easat-4020	11	8	an	an	DET
easat-4020	11	9	extension	extension	NOUN
easat-4020	11	10	of	of	ADP
easat-4020	11	11	a	a	DET
easat-4020	11	12	standard	standard	ADJ
easat-4020	11	13	graph	graph	NOUN
easat-4020	11	14	in	in	ADP
easat-4020	11	15	which	which	PRON
easat-4020	11	16	an	an	DET
easat-4020	11	17	edge	edge	NOUN
easat-4020	11	18	can	can	AUX
easat-4020	11	19	connect	connect	VERB
easat-4020	11	20	any	any	DET
easat-4020	11	21	number	number	NOUN
easat-4020	11	22	of	of	ADP
easat-4020	11	23	vertices	vertex	NOUN
easat-4020	11	24	and	and	CCONJ
easat-4020	11	25	add	add	VERB
easat-4020	11	26	complications	complication	NOUN
easat-4020	11	27	to	to	PART
easat-4020	11	28	otherwise	otherwise	ADV
easat-4020	11	29	well	well	ADV
easat-4020	11	30	-	-	PUNCT
easat-4020	11	31	known	know	VERB
easat-4020	11	32	graph	graph	NOUN
easat-4020	11	33	problems	problem	NOUN
easat-4020	11	34	such	such	ADJ
easat-4020	11	35	as	as	ADP
easat-4020	11	36	edge	edge	NOUN
easat-4020	11	37	coloring	coloring	NOUN
easat-4020	11	38	.	.	PUNCT
easat-4020	12	1	in	in	ADP
easat-4020	12	2	particular	particular	ADJ
easat-4020	12	3	,	,	PUNCT
easat-4020	12	4	the	the	DET
easat-4020	12	5	problem	problem	NOUN
easat-4020	12	6	of	of	ADP
easat-4020	12	7	edge	edge	NOUN
easat-4020	12	8	coloring	coloring	NOUN
easat-4020	12	9	of	of	ADP
easat-4020	12	10	clustered	clustered	ADJ
easat-4020	12	11	hypergraphs	hypergraph	NOUN
easat-4020	12	12	,	,	PUNCT
easat-4020	12	13	which	which	PRON
easat-4020	12	14	means	mean	VERB
easat-4020	12	15	that	that	SCONJ
easat-4020	12	16	vertices	vertex	NOUN
easat-4020	12	17	and	and	CCONJ
easat-4020	12	18	edges	edge	NOUN
easat-4020	12	19	to	to	PART
easat-4020	12	20	be	be	AUX
easat-4020	12	21	colored	color	VERB
easat-4020	12	22	are	be	AUX
easat-4020	12	23	grouped	group	VERB
easat-4020	12	24	in	in	ADP
easat-4020	12	25	clusters	cluster	NOUN
easat-4020	12	26	,	,	PUNCT
easat-4020	12	27	entails	entail	VERB
easat-4020	12	28	some	some	DET
easat-4020	12	29	difficulties	difficulty	NOUN
easat-4020	12	30	.	.	PUNCT
easat-4020	13	1	this	this	DET
easat-4020	13	2	study	study	NOUN
easat-4020	13	3	seeks	seek	VERB
easat-4020	13	4	to	to	PART
easat-4020	13	5	establish	establish	VERB
easat-4020	13	6	efficient	efficient	ADJ
easat-4020	13	7	fast	fast	ADJ
easat-4020	13	8	algorithm	algorithm	NOUN
easat-4020	13	9	to	to	PART
easat-4020	13	10	help	help	VERB
easat-4020	13	11	in	in	ADP
easat-4020	13	12	solving	solve	VERB
easat-4020	13	13	the	the	DET
easat-4020	13	14	problems	problem	NOUN
easat-4020	13	15	encountered	encounter	VERB
easat-4020	13	16	in	in	ADP
easat-4020	13	17	computational	computational	ADJ
easat-4020	13	18	works	work	NOUN
easat-4020	13	19	.	.	PUNCT
easat-4020	14	1	rather	rather	ADV
easat-4020	14	2	than	than	ADP
easat-4020	14	3	within	within	ADP
easat-4020	14	4	the	the	DET
easat-4020	14	5	scopes	scope	NOUN
easat-4020	14	6	of	of	ADP
easat-4020	14	7	classical	classical	ADJ
easat-4020	14	8	edge	edge	NOUN
easat-4020	14	9	-	-	PUNCT
easat-4020	14	10	coloring	coloring	NOUN
easat-4020	14	11	and	and	CCONJ
easat-4020	14	12	clustering	clustering	NOUN
easat-4020	14	13	of	of	ADP
easat-4020	14	14	k	k	ADJ
easat-4020	14	15	-	-	PUNCT
easat-4020	14	16	edge	edge	NOUN
easat-4020	14	17	-	-	PUNCT
easat-4020	14	18	colored	color	VERB
easat-4020	14	19	graphs	graph	NOUN
easat-4020	14	20	,	,	PUNCT
easat-4020	14	21	the	the	DET
easat-4020	14	22	edge	edge	NOUN
easat-4020	14	23	-	-	PUNCT
easat-4020	14	24	coloring	color	VERB
easat-4020	14	25	problem	problem	NOUN
easat-4020	14	26	in	in	ADP
easat-4020	14	27	clustered	clustered	ADJ
easat-4020	14	28	hypergraphs	hypergraph	NOUN
easat-4020	14	29	can	can	AUX
easat-4020	14	30	be	be	AUX
easat-4020	14	31	seen	see	VERB
easat-4020	14	32	as	as	ADP
easat-4020	14	33	a	a	DET
easat-4020	14	34	further	further	ADJ
easat-4020	14	35	development	development	NOUN
easat-4020	14	36	.	.	PUNCT
easat-4020	15	1	much	much	ADJ
easat-4020	15	2	of	of	ADP
easat-4020	15	3	the	the	DET
easat-4020	15	4	earlier	early	ADJ
easat-4020	15	5	work	work	NOUN
easat-4020	15	6	in	in	ADP
easat-4020	15	7	this	this	DET
easat-4020	15	8	area	area	NOUN
easat-4020	15	9	has	have	AUX
easat-4020	15	10	been	be	AUX
easat-4020	15	11	directed	direct	VERB
easat-4020	15	12	toward	toward	ADP
easat-4020	15	13	clustering	cluster	VERB
easat-4020	15	14	in	in	ADP
easat-4020	15	15	edge	edge	NOUN
easat-4020	15	16	-	-	PUNCT
easat-4020	15	17	colored	color	VERB
easat-4020	15	18	graphs	graph	NOUN
easat-4020	15	19	.	.	PUNCT
easat-4020	16	1	for	for	ADP
easat-4020	16	2	instance	instance	NOUN
easat-4020	16	3	,	,	PUNCT
easat-4020	16	4	ageev	ageev	PROPN
easat-4020	16	5	and	and	CCONJ
easat-4020	16	6	kononov	kononov	PROPN
easat-4020	16	7	(	(	PUNCT
easat-4020	16	8	2014	2014	NUM
easat-4020	16	9	,	,	PUNCT
easat-4020	16	10	2020	2020	NUM
easat-4020	16	11	)	)	PUNCT
easat-4020	16	12	developed	develop	VERB
easat-4020	16	13	approximation	approximation	NOUN
easat-4020	16	14	algorithms	algorithm	NOUN
easat-4020	16	15	on	on	ADP
easat-4020	16	16	the	the	DET
easat-4020	16	17	max	max	PROPN
easat-4020	16	18	k	k	PROPN
easat-4020	16	19	-	-	ADJ
easat-4020	16	20	colored	colored	ADJ
easat-4020	16	21	clustering	clustering	NOUN
easat-4020	16	22	problem	problem	NOUN
easat-4020	16	23	,	,	PUNCT
easat-4020	16	24	publishing	publish	VERB
easat-4020	16	25	extensively	extensively	ADV
easat-4020	16	26	on	on	ADP
easat-4020	16	27	clustering	clustering	NOUN
easat-4020	16	28	formed	form	VERB
easat-4020	16	29	on	on	ADP
easat-4020	16	30	edge	edge	NOUN
easat-4020	16	31	-	-	PUNCT
easat-4020	16	32	colored	color	VERB
easat-4020	16	33	graphs	graph	NOUN
easat-4020	16	34	.	.	PUNCT
easat-4020	17	1	these	these	DET
easat-4020	17	2	studies	study	NOUN
easat-4020	17	3	point	point	VERB
easat-4020	17	4	out	out	ADP
easat-4020	17	5	that	that	SCONJ
easat-4020	17	6	although	although	SCONJ
easat-4020	17	7	the	the	DET
easat-4020	17	8	problems	problem	NOUN
easat-4020	17	9	identified	identify	VERB
easat-4020	17	10	are	be	AUX
easat-4020	17	11	useful	useful	ADJ
easat-4020	17	12	,	,	PUNCT
easat-4020	17	13	the	the	DET
easat-4020	17	14	algorithms	algorithm	NOUN
easat-4020	17	15	that	that	PRON
easat-4020	17	16	solve	solve	VERB
easat-4020	17	17	them	they	PRON
easat-4020	17	18	must	must	AUX
easat-4020	17	19	be	be	AUX
easat-4020	17	20	efficient	efficient	ADJ
easat-4020	17	21	for	for	ADP
easat-4020	17	22	cases	case	NOUN
easat-4020	17	23	when	when	SCONJ
easat-4020	17	24	multiple	multiple	ADJ
easat-4020	17	25	edge	edge	NOUN
easat-4020	17	26	colors	color	NOUN
easat-4020	17	27	and	and	CCONJ
easat-4020	17	28	vertex	vertex	NOUN
easat-4020	17	29	clusters	cluster	NOUN
easat-4020	17	30	are	be	AUX
easat-4020	17	31	possible	possible	ADJ
easat-4020	17	32	.	.	PUNCT
easat-4020	18	1	specifically	specifically	ADV
easat-4020	18	2	for	for	ADP
easat-4020	18	3	hypergraphs	hypergraph	NOUN
easat-4020	18	4	,	,	PUNCT
easat-4020	18	5	the	the	DET
easat-4020	18	6	recent	recent	ADJ
easat-4020	18	7	developments	development	NOUN
easat-4020	18	8	involve	involve	VERB
easat-4020	18	9	clustering	cluster	VERB
easat-4020	18	10	and	and	CCONJ
easat-4020	18	11	edge	edge	NOUN
easat-4020	18	12	coloring	color	VERB
easat-4020	18	13	under	under	ADP
easat-4020	18	14	some	some	DET
easat-4020	18	15	constraints	constraint	NOUN
easat-4020	18	16	.	.	PUNCT
easat-4020	19	1	in	in	ADP
easat-4020	19	2	addition	addition	NOUN
easat-4020	19	3	,	,	PUNCT
easat-4020	19	4	alhamdan	alhamdan	NOUN
easat-4020	19	5	and	and	CCONJ
easat-4020	19	6	kononov	kononov	PROPN
easat-4020	19	7	in	in	ADP
easat-4020	19	8	2019	2019	NUM
easat-4020	19	9	focused	focus	VERB
easat-4020	19	10	on	on	ADP
easat-4020	19	11	approximability	approximability	NOUN
easat-4020	19	12	analysis	analysis	NOUN
easat-4020	19	13	of	of	ADP
easat-4020	19	14	kedge	kedge	PROPN
easat-4020	19	15	colored	colored	ADJ
easat-4020	19	16	clustering	cluster	VERB
easat-4020	19	17	and	and	CCONJ
easat-4020	19	18	explained	explain	VERB
easat-4020	19	19	how	how	SCONJ
easat-4020	19	20	good	good	ADJ
easat-4020	19	21	or	or	CCONJ
easat-4020	19	22	difficult	difficult	ADJ
easat-4020	19	23	it	it	PRON
easat-4020	19	24	could	could	AUX
easat-4020	19	25	get	get	VERB
easat-4020	19	26	closer	close	ADJ
easat-4020	19	27	to	to	PART
easat-4020	19	28	optimum	optimum	VERB
easat-4020	19	29	.	.	PUNCT
easat-4020	20	1	in	in	ADP
easat-4020	20	2	addition	addition	NOUN
easat-4020	20	3	,	,	PUNCT
easat-4020	20	4	amburg	amburg	PROPN
easat-4020	20	5	,	,	PUNCT
easat-4020	20	6	veldt	veldt	PROPN
easat-4020	20	7	,	,	PUNCT
easat-4020	20	8	and	and	CCONJ
easat-4020	20	9	benson	benson	PROPN
easat-4020	20	10	(	(	PUNCT
easat-4020	20	11	2020	2020	NUM
easat-4020	20	12	,	,	PUNCT
easat-4020	20	13	2022	2022	NUM
easat-4020	20	14	,	,	PUNCT
easat-4020	20	15	forthcoming	forthcoming	ADJ
easat-4020	20	16	)	)	PUNCT
easat-4020	20	17	explicitly	explicitly	ADV
easat-4020	20	18	introduced	introduce	VERB
easat-4020	20	19	clustering	clustering	ADJ
easat-4020	20	20	methods	method	NOUN
easat-4020	20	21	on	on	ADP
easat-4020	20	22	hypergraphs	hypergraph	NOUN
easat-4020	20	23	with	with	ADP
easat-4020	20	24	categorical	categorical	ADJ
easat-4020	20	25	edge	edge	NOUN
easat-4020	20	26	labels	label	NOUN
easat-4020	20	27	and	and	CCONJ
easat-4020	20	28	highlighted	highlight	VERB
easat-4020	20	29	the	the	DET
easat-4020	20	30	importance	importance	NOUN
easat-4020	20	31	of	of	ADP
easat-4020	20	32	fast	fast	ADJ
easat-4020	20	33	algorithms	algorithm	NOUN
easat-4020	20	34	of	of	ADP
easat-4020	20	35	such	such	ADJ
easat-4020	20	36	hypergraphs	hypergraph	NOUN
easat-4020	20	37	in	in	ADP
easat-4020	20	38	data	data	NOUN
easat-4020	20	39	mining	mining	NOUN
easat-4020	20	40	and	and	CCONJ
easat-4020	20	41	social	social	ADJ
easat-4020	20	42	network	network	NOUN
easat-4020	20	43	analysis	analysis	NOUN
easat-4020	20	44	.	.	PUNCT
easat-4020	21	1	as	as	ADP
easat-4020	21	2	a	a	DET
easat-4020	21	3	result	result	NOUN
easat-4020	21	4	,	,	PUNCT
easat-4020	21	5	though	though	SCONJ
easat-4020	21	6	there	there	PRON
easat-4020	21	7	are	be	VERB
easat-4020	21	8	certain	certain	ADJ
easat-4020	21	9	improvements	improvement	NOUN
easat-4020	21	10	in	in	ADP
easat-4020	21	11	such	such	ADJ
easat-4020	21	12	approaches	approach	NOUN
easat-4020	21	13	,	,	PUNCT
easat-4020	21	14	computational	computational	ADJ
easat-4020	21	15	efficiency	efficiency	NOUN
easat-4020	21	16	is	be	AUX
easat-4020	21	17	still	still	ADV
easat-4020	21	18	a	a	DET
easat-4020	21	19	problem	problem	NOUN
easat-4020	21	20	,	,	PUNCT
easat-4020	21	21	especially	especially	ADV
easat-4020	21	22	for	for	ADP
easat-4020	21	23	large	large	ADJ
easat-4020	21	24	hypergraphs	hypergraph	NOUN
easat-4020	21	25	.	.	PUNCT
easat-4020	22	1	previous	previous	ADJ
easat-4020	22	2	methods	method	NOUN
easat-4020	22	3	have	have	VERB
easat-4020	22	4	difficulty	difficulty	NOUN
easat-4020	22	5	in	in	ADP
easat-4020	22	6	scalability	scalability	NOUN
easat-4020	22	7	and	and	CCONJ
easat-4020	22	8	can	can	AUX
easat-4020	22	9	thus	thus	ADV
easat-4020	22	10	be	be	AUX
easat-4020	22	11	inadequate	inadequate	ADJ
easat-4020	22	12	for	for	ADP
easat-4020	22	13	use	use	NOUN
easat-4020	22	14	in	in	ADP
easat-4020	22	15	real9439	real9439	PROPN
easat-4020	22	16	edelweiss	edelweiss	PROPN
easat-4020	22	17	applied	apply	VERB
easat-4020	22	18	science	science	NOUN
easat-4020	22	19	and	and	CCONJ
easat-4020	22	20	technology	technology	NOUN
easat-4020	22	21	issn	issn	PROPN
easat-4020	22	22	:	:	PUNCT
easat-4020	22	23	2576	2576	NUM
easat-4020	22	24	-	-	SYM
easat-4020	22	25	8484	8484	NUM
easat-4020	22	26	vol	vol	NOUN
easat-4020	22	27	.	.	PROPN
easat-4020	22	28	8	8	NUM
easat-4020	22	29	,	,	PUNCT
easat-4020	22	30	no	no	INTJ
easat-4020	22	31	.	.	NOUN
easat-4020	23	1	6	6	NUM
easat-4020	23	2	:	:	SYM
easat-4020	23	3	9438	9438	NUM
easat-4020	23	4	-	-	SYM
easat-4020	23	5	9449	9449	NUM
easat-4020	23	6	,	,	PUNCT
easat-4020	23	7	2024	2024	NUM
easat-4020	23	8	doi	doi	NOUN
easat-4020	23	9	:	:	PUNCT
easat-4020	23	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	23	11	©	©	ADP
easat-4020	23	12	2024	2024	NUM
easat-4020	23	13	by	by	ADP
easat-4020	23	14	the	the	DET
easat-4020	23	15	author	author	NOUN
easat-4020	23	16	;	;	PUNCT
easat-4020	23	17	licensee	licensee	PROPN
easat-4020	23	18	learning	learn	VERB
easat-4020	23	19	gate	gate	NOUN
easat-4020	23	20	life	life	NOUN
easat-4020	23	21	problems	problem	NOUN
easat-4020	23	22	.	.	PUNCT
easat-4020	24	1	these	these	DET
easat-4020	24	2	shortcomings	shortcoming	NOUN
easat-4020	24	3	are	be	AUX
easat-4020	24	4	overcome	overcome	VERB
easat-4020	24	5	in	in	ADP
easat-4020	24	6	this	this	DET
easat-4020	24	7	paper	paper	NOUN
easat-4020	24	8	by	by	ADP
easat-4020	24	9	presenting	present	VERB
easat-4020	24	10	fast	fast	ADJ
easat-4020	24	11	algorithms	algorithm	NOUN
easat-4020	24	12	for	for	ADP
easat-4020	24	13	edge	edge	NOUN
easat-4020	24	14	coloring	color	VERB
easat-4020	24	15	in	in	ADP
easat-4020	24	16	clustered	clustered	ADJ
easat-4020	24	17	hypergraphs	hypergraph	NOUN
easat-4020	24	18	.	.	PUNCT
easat-4020	25	1	our	our	PRON
easat-4020	25	2	work	work	NOUN
easat-4020	25	3	can	can	AUX
easat-4020	25	4	be	be	AUX
easat-4020	25	5	considered	consider	VERB
easat-4020	25	6	an	an	DET
easat-4020	25	7	evolution	evolution	NOUN
easat-4020	25	8	of	of	ADP
easat-4020	25	9	the	the	DET
easat-4020	25	10	methods	method	NOUN
easat-4020	25	11	presented	present	VERB
easat-4020	25	12	in	in	ADP
easat-4020	25	13	previous	previous	ADJ
easat-4020	25	14	papers	paper	NOUN
easat-4020	25	15	published	publish	VERB
easat-4020	25	16	by	by	ADP
easat-4020	25	17	other	other	ADJ
easat-4020	25	18	researchers	researcher	NOUN
easat-4020	25	19	,	,	PUNCT
easat-4020	25	20	e.g.	e.g.	ADV
easat-4020	25	21	,	,	PUNCT
easat-4020	25	22	chromatic	chromatic	ADJ
easat-4020	25	23	correlation	correlation	NOUN
easat-4020	25	24	clustering	cluster	VERB
easat-4020	25	25	by	by	ADP
easat-4020	25	26	bonchi	bonchi	PROPN
easat-4020	25	27	et	et	PROPN
easat-4020	25	28	al	al	PROPN
easat-4020	25	29	.	.	PROPN
easat-4020	26	1	(	(	PUNCT
easat-4020	26	2	2015	2015	NUM
easat-4020	26	3	)	)	PUNCT
easat-4020	27	1	and	and	CCONJ
easat-4020	27	2	hypergraph	hypergraph	VERB
easat-4020	27	3	clustering	clustering	NOUN
easat-4020	27	4	by	by	ADP
easat-4020	27	5	li	li	PROPN
easat-4020	27	6	and	and	CCONJ
easat-4020	27	7	milenkovic	milenkovic	PROPN
easat-4020	27	8	(	(	PUNCT
easat-4020	27	9	2017	2017	NUM
easat-4020	27	10	,	,	PUNCT
easat-4020	27	11	2018	2018	NUM
easat-4020	27	12	)	)	PUNCT
easat-4020	27	13	;	;	PUNCT
easat-4020	27	14	however	however	ADV
easat-4020	27	15	,	,	PUNCT
easat-4020	27	16	we	we	PRON
easat-4020	27	17	pay	pay	VERB
easat-4020	27	18	attention	attention	NOUN
easat-4020	27	19	to	to	ADP
easat-4020	27	20	time	time	NOUN
easat-4020	27	21	complexity	complexity	NOUN
easat-4020	27	22	and	and	CCONJ
easat-4020	27	23	computational	computational	ADJ
easat-4020	27	24	efficiency	efficiency	NOUN
easat-4020	27	25	.	.	PUNCT
easat-4020	28	1	our	our	PRON
easat-4020	28	2	contributions	contribution	NOUN
easat-4020	28	3	in	in	ADP
easat-4020	28	4	this	this	DET
easat-4020	28	5	study	study	NOUN
easat-4020	28	6	are	be	AUX
easat-4020	28	7	twofold	twofold	ADV
easat-4020	28	8	:	:	PUNCT
easat-4020	28	9	first	first	ADV
easat-4020	28	10	,	,	PUNCT
easat-4020	28	11	we	we	PRON
easat-4020	28	12	discuss	discuss	VERB
easat-4020	28	13	the	the	DET
easat-4020	28	14	more	more	ADV
easat-4020	28	15	general	general	ADJ
easat-4020	28	16	idea	idea	NOUN
easat-4020	28	17	of	of	ADP
easat-4020	28	18	algorithms	algorithm	NOUN
easat-4020	28	19	that	that	PRON
easat-4020	28	20	use	use	VERB
easat-4020	28	21	the	the	DET
easat-4020	28	22	structure	structure	NOUN
easat-4020	28	23	of	of	ADP
easat-4020	28	24	clustered	clustered	ADJ
easat-4020	28	25	hypergraphs	hypergraph	NOUN
easat-4020	28	26	to	to	PART
easat-4020	28	27	perform	perform	VERB
easat-4020	28	28	better	well	ADJ
easat-4020	28	29	edge	edge	NOUN
easat-4020	28	30	coloring	coloring	NOUN
easat-4020	28	31	,	,	PUNCT
easat-4020	28	32	and	and	CCONJ
easat-4020	28	33	second	second	ADJ
easat-4020	28	34	,	,	PUNCT
easat-4020	28	35	we	we	PRON
easat-4020	28	36	present	present	VERB
easat-4020	28	37	a	a	DET
easat-4020	28	38	full	full	ADJ
easat-4020	28	39	characterization	characterization	NOUN
easat-4020	28	40	of	of	ADP
easat-4020	28	41	these	these	DET
easat-4020	28	42	algorithms	algorithm	NOUN
easat-4020	28	43	’	'	PUNCT
easat-4020	28	44	computational	computational	ADJ
easat-4020	28	45	complexity	complexity	NOUN
easat-4020	28	46	and	and	CCONJ
easat-4020	28	47	compare	compare	VERB
easat-4020	28	48	it	it	PRON
easat-4020	28	49	to	to	ADP
easat-4020	28	50	previous	previous	ADJ
easat-4020	28	51	ideas	idea	NOUN
easat-4020	28	52	.	.	PUNCT
easat-4020	29	1	in	in	ADP
easat-4020	29	2	this	this	DET
easat-4020	29	3	respect	respect	NOUN
easat-4020	29	4	,	,	PUNCT
easat-4020	29	5	our	our	PRON
easat-4020	29	6	algorithms	algorithm	NOUN
easat-4020	29	7	are	be	AUX
easat-4020	29	8	an	an	DET
easat-4020	29	9	improvement	improvement	NOUN
easat-4020	29	10	over	over	ADP
easat-4020	29	11	previous	previous	ADJ
easat-4020	29	12	approaches	approach	NOUN
easat-4020	29	13	,	,	PUNCT
easat-4020	29	14	providing	provide	VERB
easat-4020	29	15	a	a	DET
easat-4020	29	16	practical	practical	ADJ
easat-4020	29	17	method	method	NOUN
easat-4020	29	18	for	for	ADP
easat-4020	29	19	solving	solve	VERB
easat-4020	29	20	a	a	DET
easat-4020	29	21	classical	classical	ADJ
easat-4020	29	22	problem	problem	NOUN
easat-4020	29	23	in	in	ADP
easat-4020	29	24	hypergraph	hypergraph	NOUN
easat-4020	29	25	theory	theory	NOUN
easat-4020	29	26	and	and	CCONJ
easat-4020	29	27	its	its	PRON
easat-4020	29	28	applications	application	NOUN
easat-4020	29	29	with	with	ADP
easat-4020	29	30	less	less	ADV
easat-4020	29	31	computational	computational	ADJ
easat-4020	29	32	overhead	overhead	NOUN
easat-4020	29	33	.	.	PUNCT
easat-4020	30	1	in	in	ADP
easat-4020	30	2	the	the	DET
easat-4020	30	3	following	follow	VERB
easat-4020	30	4	sections	section	NOUN
easat-4020	30	5	4	4	NUM
easat-4020	30	6	,	,	PUNCT
easat-4020	30	7	5	5	NUM
easat-4020	30	8	and	and	CCONJ
easat-4020	30	9	6	6	NUM
easat-4020	30	10	,	,	PUNCT
easat-4020	30	11	we	we	PRON
easat-4020	30	12	outline	outline	VERB
easat-4020	30	13	the	the	DET
easat-4020	30	14	problem	problem	NOUN
easat-4020	30	15	formulation	formulation	NOUN
easat-4020	30	16	in	in	ADP
easat-4020	30	17	addition	addition	NOUN
easat-4020	30	18	to	to	ADP
easat-4020	30	19	developing	develop	VERB
easat-4020	30	20	our	our	PRON
easat-4020	30	21	proposed	propose	VERB
easat-4020	30	22	algorithms	algorithm	NOUN
easat-4020	30	23	and	and	CCONJ
easat-4020	30	24	comparing	compare	VERB
easat-4020	30	25	them	they	PRON
easat-4020	30	26	with	with	ADP
easat-4020	30	27	the	the	DET
easat-4020	30	28	current	current	ADJ
easat-4020	30	29	techniques	technique	NOUN
easat-4020	30	30	.	.	PUNCT
easat-4020	31	1	this	this	DET
easat-4020	31	2	study	study	NOUN
easat-4020	31	3	aims	aim	VERB
easat-4020	31	4	to	to	PART
easat-4020	31	5	develop	develop	VERB
easat-4020	31	6	fast	fast	ADJ
easat-4020	31	7	algorithms	algorithm	NOUN
easat-4020	31	8	for	for	ADP
easat-4020	31	9	edge	edge	NOUN
easat-4020	31	10	coloring	color	VERB
easat-4020	31	11	in	in	ADP
easat-4020	31	12	clustered	clustered	ADJ
easat-4020	31	13	hypergraphs	hypergraph	NOUN
easat-4020	31	14	,	,	PUNCT
easat-4020	31	15	with	with	ADP
easat-4020	31	16	the	the	DET
easat-4020	31	17	specific	specific	ADJ
easat-4020	31	18	objective	objective	NOUN
easat-4020	31	19	of	of	ADP
easat-4020	31	20	achieving	achieve	VERB
easat-4020	31	21	improved	improved	ADJ
easat-4020	31	22	accuracy	accuracy	NOUN
easat-4020	31	23	and	and	CCONJ
easat-4020	31	24	computational	computational	ADJ
easat-4020	31	25	efficiency	efficiency	NOUN
easat-4020	31	26	.	.	PUNCT
easat-4020	32	1	these	these	DET
easat-4020	32	2	algorithms	algorithm	NOUN
easat-4020	32	3	leverage	leverage	VERB
easat-4020	32	4	structural	structural	ADJ
easat-4020	32	5	properties	property	NOUN
easat-4020	32	6	and	and	CCONJ
easat-4020	32	7	novel	novel	ADJ
easat-4020	32	8	computational	computational	ADJ
easat-4020	32	9	strategies	strategy	NOUN
easat-4020	32	10	to	to	PART
easat-4020	32	11	overcome	overcome	VERB
easat-4020	32	12	existing	exist	VERB
easat-4020	32	13	scalability	scalability	NOUN
easat-4020	32	14	and	and	CCONJ
easat-4020	32	15	efficiency	efficiency	NOUN
easat-4020	32	16	limitations	limitation	NOUN
easat-4020	32	17	in	in	ADP
easat-4020	32	18	hypergraph	hypergraph	NOUN
easat-4020	32	19	clustering	clustering	NOUN
easat-4020	32	20	.	.	PUNCT
easat-4020	33	1	1.1	1.1	NUM
easat-4020	33	2	.	.	PUNCT
easat-4020	34	1	literature	literature	NOUN
easat-4020	34	2	review	review	NOUN
easat-4020	34	3	clustering	cluster	VERB
easat-4020	34	4	in	in	ADP
easat-4020	34	5	graphs	graph	NOUN
easat-4020	34	6	and	and	CCONJ
easat-4020	34	7	hypergraphs	hypergraph	NOUN
easat-4020	34	8	has	have	AUX
easat-4020	34	9	been	be	AUX
easat-4020	34	10	a	a	DET
easat-4020	34	11	topic	topic	NOUN
easat-4020	34	12	of	of	ADP
easat-4020	34	13	interest	interest	NOUN
easat-4020	34	14	over	over	ADP
easat-4020	34	15	several	several	ADJ
easat-4020	34	16	years	year	NOUN
easat-4020	34	17	and	and	CCONJ
easat-4020	34	18	there	there	PRON
easat-4020	34	19	exists	exist	VERB
easat-4020	34	20	numerous	numerous	ADJ
easat-4020	34	21	methods	method	NOUN
easat-4020	34	22	targeting	target	VERB
easat-4020	34	23	the	the	DET
easat-4020	34	24	theoretical	theoretical	ADJ
easat-4020	34	25	perspective	perspective	NOUN
easat-4020	34	26	and	and	CCONJ
easat-4020	34	27	real	real	ADJ
easat-4020	34	28	applications	application	NOUN
easat-4020	34	29	.	.	PUNCT
easat-4020	35	1	the	the	DET
easat-4020	35	2	much	much	ADV
easat-4020	35	3	earlier	early	ADJ
easat-4020	35	4	work	work	NOUN
easat-4020	35	5	by	by	ADP
easat-4020	35	6	garg	garg	PROPN
easat-4020	35	7	et	et	PROPN
easat-4020	35	8	al	al	PROPN
easat-4020	35	9	.	.	PROPN
easat-4020	35	10	(	(	PUNCT
easat-4020	35	11	2004	2004	NUM
easat-4020	35	12	)	)	PUNCT
easat-4020	35	13	originated	originate	VERB
easat-4020	35	14	the	the	DET
easat-4020	35	15	basic	basic	ADJ
easat-4020	35	16	notions	notion	NOUN
easat-4020	35	17	of	of	ADP
easat-4020	35	18	multiway	multiway	NOUN
easat-4020	35	19	cuts	cut	NOUN
easat-4020	35	20	in	in	ADP
easat-4020	35	21	node	node	NOUN
easat-4020	35	22	-	-	PUNCT
easat-4020	35	23	weighted	weight	VERB
easat-4020	35	24	graphs	graph	NOUN
easat-4020	35	25	,	,	PUNCT
easat-4020	35	26	which	which	PRON
easat-4020	35	27	are	be	AUX
easat-4020	35	28	a	a	DET
easat-4020	35	29	key	key	ADJ
easat-4020	35	30	problem	problem	NOUN
easat-4020	35	31	for	for	ADP
easat-4020	35	32	partitioning	partition	VERB
easat-4020	35	33	.	.	PUNCT
easat-4020	36	1	their	their	PRON
easat-4020	36	2	results	result	NOUN
easat-4020	36	3	focused	focus	VERB
easat-4020	36	4	on	on	ADP
easat-4020	36	5	approximation	approximation	NOUN
easat-4020	36	6	schemes	scheme	NOUN
easat-4020	36	7	,	,	PUNCT
easat-4020	36	8	which	which	PRON
easat-4020	36	9	in	in	ADP
easat-4020	36	10	turn	turn	NOUN
easat-4020	36	11	have	have	AUX
easat-4020	36	12	given	give	VERB
easat-4020	36	13	rise	rise	NOUN
easat-4020	36	14	to	to	ADP
easat-4020	36	15	several	several	ADJ
easat-4020	36	16	generalizations	generalization	NOUN
easat-4020	36	17	to	to	ADP
easat-4020	36	18	more	more	ADV
easat-4020	36	19	intricate	intricate	ADJ
easat-4020	36	20	combinatorial	combinatorial	ADJ
easat-4020	36	21	structures	structure	NOUN
easat-4020	36	22	,	,	PUNCT
easat-4020	36	23	such	such	ADJ
easat-4020	36	24	as	as	ADP
easat-4020	36	25	hypergraphs	hypergraph	NOUN
easat-4020	36	26	.	.	PUNCT
easat-4020	37	1	the	the	DET
easat-4020	37	2	modern	modern	ADJ
easat-4020	37	3	approaches	approach	NOUN
easat-4020	37	4	to	to	ADP
easat-4020	37	5	clustering	clustering	NOUN
easat-4020	37	6	problems	problem	NOUN
easat-4020	37	7	,	,	PUNCT
easat-4020	37	8	with	with	ADP
easat-4020	37	9	special	special	ADJ
easat-4020	37	10	emphasis	emphasis	NOUN
easat-4020	37	11	on	on	ADP
easat-4020	37	12	the	the	DET
easat-4020	37	13	maximum	maximum	ADJ
easat-4020	37	14	k	k	ADJ
easat-4020	37	15	-	-	PUNCT
easat-4020	37	16	edge	edge	NOUN
easat-4020	37	17	-	-	PUNCT
easat-4020	37	18	colored	colored	ADJ
easat-4020	37	19	clustering	clustering	NOUN
easat-4020	37	20	problem	problem	NOUN
easat-4020	37	21	,	,	PUNCT
easat-4020	37	22	were	be	AUX
easat-4020	37	23	initiated	initiate	VERB
easat-4020	37	24	by	by	ADP
easat-4020	37	25	ageev	ageev	PROPN
easat-4020	37	26	and	and	CCONJ
easat-4020	37	27	kononov	kononov	PROPN
easat-4020	37	28	(	(	PUNCT
easat-4020	37	29	2014	2014	NUM
easat-4020	37	30	,	,	PUNCT
easat-4020	37	31	2020	2020	NUM
easat-4020	37	32	)	)	PUNCT
easat-4020	37	33	.	.	PUNCT
easat-4020	38	1	it	it	PRON
easat-4020	38	2	included	include	VERB
easat-4020	38	3	better	well	ADJ
easat-4020	38	4	approximation	approximation	NOUN
easat-4020	38	5	algorithms	algorithm	NOUN
easat-4020	38	6	and	and	CCONJ
easat-4020	38	7	analyzed	analyze	VERB
easat-4020	38	8	the	the	DET
easat-4020	38	9	theoretical	theoretical	ADJ
easat-4020	38	10	possibility	possibility	NOUN
easat-4020	38	11	of	of	ADP
easat-4020	38	12	approximations	approximation	NOUN
easat-4020	38	13	in	in	ADP
easat-4020	38	14	this	this	DET
easat-4020	38	15	area	area	NOUN
easat-4020	38	16	.	.	PUNCT
easat-4020	39	1	alhamdan	alhamdan	PROPN
easat-4020	39	2	and	and	CCONJ
easat-4020	39	3	kononov	kononov	PROPN
easat-4020	39	4	(	(	PUNCT
easat-4020	39	5	2019	2019	NUM
easat-4020	39	6	)	)	PUNCT
easat-4020	39	7	built	build	VERB
easat-4020	39	8	upon	upon	SCONJ
easat-4020	39	9	these	these	DET
easat-4020	39	10	ideas	idea	NOUN
easat-4020	39	11	by	by	ADP
easat-4020	39	12	providing	provide	VERB
easat-4020	39	13	both	both	CCONJ
easat-4020	39	14	upper	upper	ADJ
easat-4020	39	15	and	and	CCONJ
easat-4020	39	16	lower	low	ADJ
easat-4020	39	17	bound	bind	VERB
easat-4020	39	18	approximations	approximation	NOUN
easat-4020	39	19	for	for	ADP
easat-4020	39	20	maximum	maximum	ADJ
easat-4020	39	21	k	k	ADJ
easat-4020	39	22	-	-	PUNCT
easat-4020	39	23	edge	edge	NOUN
easat-4020	39	24	-	-	PUNCT
easat-4020	39	25	colored	colored	ADJ
easat-4020	39	26	clustering	clustering	NOUN
easat-4020	39	27	,	,	PUNCT
easat-4020	39	28	which	which	PRON
easat-4020	39	29	only	only	ADV
easat-4020	39	30	served	serve	VERB
easat-4020	39	31	to	to	PART
easat-4020	39	32	reinforce	reinforce	VERB
easat-4020	39	33	the	the	DET
easat-4020	39	34	notion	notion	NOUN
easat-4020	39	35	of	of	ADP
easat-4020	39	36	the	the	DET
easat-4020	39	37	difficulty	difficulty	NOUN
easat-4020	39	38	of	of	ADP
easat-4020	39	39	such	such	ADJ
easat-4020	39	40	problems	problem	NOUN
easat-4020	39	41	.	.	PUNCT
easat-4020	40	1	there	there	PRON
easat-4020	40	2	has	have	AUX
easat-4020	40	3	also	also	ADV
easat-4020	40	4	been	be	AUX
easat-4020	40	5	significant	significant	ADJ
easat-4020	40	6	advance	advance	NOUN
easat-4020	40	7	in	in	ADP
easat-4020	40	8	the	the	DET
easat-4020	40	9	use	use	NOUN
easat-4020	40	10	of	of	ADP
easat-4020	40	11	clustering	cluster	VERB
easat-4020	40	12	in	in	ADP
easat-4020	40	13	hypergraphs	hypergraph	NOUN
easat-4020	40	14	particularly	particularly	ADV
easat-4020	40	15	work	work	NOUN
easat-4020	40	16	done	do	VERB
easat-4020	40	17	by	by	ADP
easat-4020	40	18	amburg	amburg	PROPN
easat-4020	40	19	,	,	PUNCT
easat-4020	40	20	veldt	veldt	PROPN
easat-4020	40	21	and	and	CCONJ
easat-4020	40	22	benson	benson	PROPN
easat-4020	40	23	(	(	PUNCT
easat-4020	40	24	2020,2022	2020,2022	NOUN
easat-4020	40	25	)	)	PUNCT
easat-4020	40	26	on	on	ADP
easat-4020	40	27	clustering	cluster	VERB
easat-4020	40	28	hypergraphs	hypergraph	NOUN
easat-4020	40	29	with	with	ADP
easat-4020	40	30	categorical	categorical	ADJ
easat-4020	40	31	edge	edge	NOUN
easat-4020	40	32	labels	label	NOUN
easat-4020	40	33	.	.	PUNCT
easat-4020	41	1	what	what	PRON
easat-4020	41	2	their	their	PRON
easat-4020	41	3	research	research	NOUN
easat-4020	41	4	showed	show	VERB
easat-4020	41	5	was	be	AUX
easat-4020	41	6	that	that	SCONJ
easat-4020	41	7	this	this	DET
easat-4020	41	8	algorithm	algorithm	NOUN
easat-4020	41	9	known	know	VERB
easat-4020	41	10	as	as	ADP
easat-4020	41	11	hypergraph	hypergraph	NOUN
easat-4020	41	12	clustering	clustering	NOUN
easat-4020	41	13	is	be	AUX
easat-4020	41	14	highly	highly	ADV
easat-4020	41	15	beneficial	beneficial	ADJ
easat-4020	41	16	in	in	ADP
easat-4020	41	17	discovering	discover	VERB
easat-4020	41	18	numerous	numerous	ADJ
easat-4020	41	19	groups	group	NOUN
easat-4020	41	20	and	and	CCONJ
easat-4020	41	21	this	this	PRON
easat-4020	41	22	was	be	AUX
easat-4020	41	23	supported	support	VERB
easat-4020	41	24	with	with	ADP
easat-4020	41	25	real	real	ADJ
easat-4020	41	26	problems	problem	NOUN
easat-4020	41	27	in	in	ADP
easat-4020	41	28	the	the	DET
easat-4020	41	29	areas	area	NOUN
easat-4020	41	30	of	of	ADP
easat-4020	41	31	data	data	NOUN
easat-4020	41	32	mining	mining	NOUN
easat-4020	41	33	and	and	CCONJ
easat-4020	41	34	the	the	DET
easat-4020	41	35	examination	examination	NOUN
easat-4020	41	36	of	of	ADP
easat-4020	41	37	web	web	NOUN
easat-4020	41	38	data	datum	NOUN
easat-4020	41	39	.	.	PUNCT
easat-4020	42	1	these	these	DET
easat-4020	42	2	studies	study	NOUN
easat-4020	42	3	focus	focus	VERB
easat-4020	42	4	on	on	ADP
easat-4020	42	5	the	the	DET
easat-4020	42	6	generalizability	generalizability	NOUN
easat-4020	42	7	of	of	ADP
easat-4020	42	8	the	the	DET
easat-4020	42	9	clustering	cluster	VERB
easat-4020	42	10	algorithms	algorithms	NOUN
easat-4020	42	11	in	in	ADP
easat-4020	42	12	real	real	ADJ
easat-4020	42	13	world	world	NOUN
easat-4020	42	14	scenarios	scenario	NOUN
easat-4020	42	15	,	,	PUNCT
easat-4020	42	16	more	more	ADJ
easat-4020	42	17	in	in	ADP
easat-4020	42	18	social	social	ADJ
easat-4020	42	19	biological	biological	ADJ
easat-4020	42	20	networks	network	NOUN
easat-4020	42	21	.	.	PUNCT
easat-4020	43	1	as	as	ADP
easat-4020	43	2	for	for	ADP
easat-4020	43	3	the	the	DET
easat-4020	43	4	structural	structural	ADJ
easat-4020	43	5	relation	relation	NOUN
easat-4020	43	6	clustering	clustering	NOUN
easat-4020	43	7	proposed	propose	VERB
easat-4020	43	8	by	by	ADP
easat-4020	43	9	sarlos	sarlos	PROPN
easat-4020	43	10	et	et	PROPN
easat-4020	43	11	al	al	PROPN
easat-4020	43	12	.	.	PROPN
easat-4020	44	1	(	(	PUNCT
easat-4020	44	2	2013	2013	NUM
easat-4020	44	3	)	)	PUNCT
easat-4020	44	4	,	,	PUNCT
easat-4020	44	5	other	other	ADJ
easat-4020	44	6	approaches	approach	NOUN
easat-4020	44	7	include	include	VERB
easat-4020	44	8	chromatic	chromatic	ADJ
easat-4020	44	9	correlation	correlation	NOUN
easat-4020	44	10	clustering	cluster	VERB
easat-4020	44	11	as	as	SCONJ
easat-4020	44	12	proposed	propose	VERB
easat-4020	44	13	by	by	ADP
easat-4020	44	14	bonchi	bonchi	PROPN
easat-4020	44	15	et	et	PROPN
easat-4020	44	16	al	al	PROPN
easat-4020	44	17	.	.	PROPN
easat-4020	45	1	(	(	PUNCT
easat-4020	45	2	2015	2015	NUM
easat-4020	45	3	)	)	PUNCT
easat-4020	45	4	advanced	advance	VERB
easat-4020	45	5	by	by	ADP
easat-4020	45	6	anava	anava	NOUN
easat-4020	45	7	and	and	CCONJ
easat-4020	45	8	gonen	gonen	PROPN
easat-4020	45	9	(	(	PUNCT
easat-4020	45	10	2015	2015	NUM
easat-4020	45	11	)	)	PUNCT
easat-4020	45	12	.	.	PUNCT
easat-4020	46	1	these	these	DET
easat-4020	46	2	publications	publication	NOUN
easat-4020	46	3	incorporated	incorporate	VERB
easat-4020	46	4	both	both	DET
easat-4020	46	5	theoretical	theoretical	ADJ
easat-4020	46	6	enhancements	enhancement	NOUN
easat-4020	46	7	and	and	CCONJ
easat-4020	46	8	tangible	tangible	ADJ
easat-4020	46	9	assurances	assurance	NOUN
easat-4020	46	10	that	that	PRON
easat-4020	46	11	play	play	VERB
easat-4020	46	12	a	a	DET
easat-4020	46	13	significant	significant	ADJ
easat-4020	46	14	role	role	NOUN
easat-4020	46	15	in	in	ADP
easat-4020	46	16	colour	colour	NOUN
easat-4020	46	17	based	base	VERB
easat-4020	46	18	techniques	technique	NOUN
easat-4020	46	19	in	in	ADP
easat-4020	46	20	terms	term	NOUN
easat-4020	46	21	of	of	ADP
easat-4020	46	22	reducing	reduce	VERB
easat-4020	46	23	computational	computational	ADJ
easat-4020	46	24	extents	extent	NOUN
easat-4020	46	25	and	and	CCONJ
easat-4020	46	26	at	at	ADP
easat-4020	46	27	the	the	DET
easat-4020	46	28	same	same	ADJ
easat-4020	46	29	time	time	NOUN
easat-4020	46	30	providing	provide	VERB
easat-4020	46	31	reasonable	reasonable	ADJ
easat-4020	46	32	levels	level	NOUN
easat-4020	46	33	of	of	ADP
easat-4020	46	34	accuracy	accuracy	NOUN
easat-4020	46	35	.	.	PUNCT
easat-4020	47	1	spectral	spectral	ADJ
easat-4020	47	2	properties	property	NOUN
easat-4020	47	3	of	of	ADP
easat-4020	47	4	hypergraphs	hypergraph	NOUN
easat-4020	47	5	has	have	AUX
easat-4020	47	6	also	also	ADV
easat-4020	47	7	been	be	AUX
easat-4020	47	8	an	an	DET
easat-4020	47	9	active	active	ADJ
easat-4020	47	10	research	research	NOUN
easat-4020	47	11	area	area	NOUN
easat-4020	47	12	,	,	PUNCT
easat-4020	47	13	where	where	SCONJ
easat-4020	47	14	recently	recently	ADV
easat-4020	47	15	chan	chan	VERB
easat-4020	47	16	et	et	PROPN
easat-4020	47	17	al	al	PROPN
easat-4020	47	18	.	.	PROPN
easat-4020	48	1	(	(	PUNCT
easat-4020	48	2	2018	2018	NUM
easat-4020	48	3	)	)	PUNCT
easat-4020	48	4	has	have	AUX
easat-4020	48	5	considered	consider	VERB
easat-4020	48	6	the	the	DET
easat-4020	48	7	hypergraph	hypergraph	NOUN
easat-4020	48	8	laplacian	laplacian	NOUN
easat-4020	48	9	for	for	ADP
easat-4020	48	10	designing	design	VERB
easat-4020	48	11	the	the	DET
easat-4020	48	12	approximation	approximation	NOUN
easat-4020	48	13	algorithms	algorithm	NOUN
easat-4020	48	14	.	.	PUNCT
easat-4020	49	1	their	their	PRON
easat-4020	49	2	work	work	NOUN
easat-4020	49	3	described	describe	VERB
easat-4020	49	4	the	the	DET
easat-4020	49	5	spectral	spectral	ADJ
easat-4020	49	6	method	method	NOUN
easat-4020	49	7	for	for	ADP
easat-4020	49	8	partitioning	partition	VERB
easat-4020	49	9	tasks	task	NOUN
easat-4020	49	10	and	and	CCONJ
easat-4020	49	11	cutting	cutting	NOUN
easat-4020	49	12	-	-	PUNCT
easat-4020	49	13	sets	set	NOUN
easat-4020	49	14	,	,	PUNCT
easat-4020	49	15	and	and	CCONJ
easat-4020	49	16	this	this	DET
easat-4020	49	17	issue	issue	NOUN
easat-4020	49	18	was	be	AUX
easat-4020	49	19	continued	continue	VERB
easat-4020	49	20	in	in	ADP
easat-4020	49	21	li	li	PROPN
easat-4020	49	22	and	and	CCONJ
easat-4020	49	23	milenkovic	milenkovic	PROPN
easat-4020	49	24	(	(	PUNCT
easat-4020	49	25	2017	2017	NUM
easat-4020	49	26	,	,	PUNCT
easat-4020	49	27	2018	2018	NUM
easat-4020	49	28	)	)	PUNCT
easat-4020	49	29	,	,	PUNCT
easat-4020	49	30	who	who	PRON
easat-4020	49	31	studied	study	VERB
easat-4020	49	32	cheeger	cheeger	ADJ
easat-4020	49	33	inequalities	inequality	NOUN
easat-4020	49	34	and	and	CCONJ
easat-4020	49	35	spectra	spectra	NOUN
easat-4020	49	36	of	of	ADP
easat-4020	49	37	clustering	clustering	NOUN
easat-4020	49	38	for	for	ADP
easat-4020	49	39	inhomogeneous	inhomogeneous	ADJ
easat-4020	49	40	hypergraphs	hypergraph	NOUN
easat-4020	49	41	.	.	PUNCT
easat-4020	50	1	these	these	DET
easat-4020	50	2	works	work	NOUN
easat-4020	50	3	are	be	AUX
easat-4020	50	4	central	central	ADJ
easat-4020	50	5	in	in	ADP
easat-4020	50	6	bringing	bring	VERB
easat-4020	50	7	insight	insight	NOUN
easat-4020	50	8	on	on	ADP
easat-4020	50	9	how	how	SCONJ
easat-4020	50	10	hypergraph	hypergraph	NOUN
easat-4020	50	11	structures	structure	NOUN
easat-4020	50	12	can	can	AUX
easat-4020	50	13	be	be	AUX
easat-4020	50	14	utilized	utilize	VERB
easat-4020	50	15	in	in	ADP
easat-4020	50	16	the	the	DET
easat-4020	50	17	approaches	approach	NOUN
easat-4020	50	18	of	of	ADP
easat-4020	50	19	clustering	clustering	NOUN
easat-4020	50	20	and	and	CCONJ
easat-4020	50	21	especially	especially	ADV
easat-4020	50	22	in	in	ADP
easat-4020	50	23	machine	machine	NOUN
easat-4020	50	24	learning	learning	NOUN
easat-4020	50	25	.	.	PUNCT
easat-4020	51	1	in	in	ADP
easat-4020	51	2	contrast	contrast	NOUN
easat-4020	51	3	,	,	PUNCT
easat-4020	51	4	the	the	DET
easat-4020	51	5	submodular	submodular	ADJ
easat-4020	51	6	cost	cost	NOUN
easat-4020	51	7	allocation	allocation	NOUN
easat-4020	51	8	problem	problem	NOUN
easat-4020	51	9	is	be	AUX
easat-4020	51	10	well	well	ADV
easat-4020	51	11	-	-	PUNCT
easat-4020	51	12	studied	study	VERB
easat-4020	51	13	,	,	PUNCT
easat-4020	51	14	where	where	SCONJ
easat-4020	51	15	chekuri	chekuri	PROPN
easat-4020	51	16	and	and	CCONJ
easat-4020	51	17	ene	ene	PROPN
easat-4020	51	18	(	(	PUNCT
easat-4020	51	19	2011	2011	NUM
easat-4020	51	20	)	)	PUNCT
easat-4020	51	21	made	make	VERB
easat-4020	51	22	further	further	ADJ
easat-4020	51	23	research	research	NOUN
easat-4020	51	24	in	in	ADP
easat-4020	51	25	theory	theory	NOUN
easat-4020	51	26	and	and	CCONJ
easat-4020	51	27	prevailing	prevail	VERB
easat-4020	51	28	approach	approach	NOUN
easat-4020	51	29	.	.	PUNCT
easat-4020	52	1	existence	existence	NOUN
easat-4020	52	2	of	of	ADP
easat-4020	52	3	better	well	ADJ
easat-4020	52	4	algorithms	algorithm	NOUN
easat-4020	52	5	of	of	ADP
easat-4020	52	6	approximation	approximation	NOUN
easat-4020	52	7	due	due	ADP
easat-4020	52	8	to	to	ADP
easat-4020	52	9	their	their	PRON
easat-4020	52	10	work	work	NOUN
easat-4020	52	11	in	in	ADP
easat-4020	52	12	submodular	submodular	ADJ
easat-4020	52	13	multiway	multiway	NOUN
easat-4020	52	14	partition	partition	NOUN
easat-4020	52	15	has	have	AUX
easat-4020	52	16	enabled	enable	VERB
easat-4020	52	17	application	application	NOUN
easat-4020	52	18	in	in	ADP
easat-4020	52	19	different	different	ADJ
easat-4020	52	20	fields	field	NOUN
easat-4020	52	21	like	like	ADP
easat-4020	52	22	network	network	NOUN
easat-4020	52	23	design	design	NOUN
easat-4020	52	24	and	and	CCONJ
easat-4020	52	25	data	datum	NOUN
easat-4020	52	26	summarization	summarization	NOUN
easat-4020	52	27	.	.	PUNCT
easat-4020	53	1	subsequent	subsequent	ADJ
easat-4020	53	2	work	work	NOUN
easat-4020	53	3	by	by	ADP
easat-4020	53	4	chekuri	chekuri	PROPN
easat-4020	53	5	and	and	CCONJ
easat-4020	53	6	madan	madan	PROPN
easat-4020	53	7	(	(	PUNCT
easat-4020	53	8	2016	2016	NUM
easat-4020	53	9	)	)	PUNCT
easat-4020	53	10	and	and	CCONJ
easat-4020	53	11	chandrasekaran	chandrasekaran	ADJ
easat-4020	53	12	and	and	CCONJ
easat-4020	53	13	chekuri	chekuri	PROPN
easat-4020	53	14	(	(	PUNCT
easat-4020	53	15	2021	2021	NUM
easat-4020	53	16	,	,	PUNCT
easat-4020	53	17	2022	2022	NUM
easat-4020	53	18	)	)	PUNCT
easat-4020	53	19	has	have	AUX
easat-4020	53	20	aimed	aim	VERB
easat-4020	53	21	at	at	ADP
easat-4020	53	22	improving	improve	VERB
easat-4020	53	23	efficacy	efficacy	NOUN
easat-4020	53	24	and	and	CCONJ
easat-4020	53	25	scalability	scalability	NOUN
easat-4020	53	26	of	of	ADP
easat-4020	53	27	such	such	ADJ
easat-4020	53	28	algorithms	algorithm	NOUN
easat-4020	53	29	for	for	ADP
easat-4020	53	30	big	big	ADJ
easat-4020	53	31	data	datum	NOUN
easat-4020	53	32	.	.	PUNCT
easat-4020	54	1	hypergraph	hypergraph	NOUN
easat-4020	54	2	partitioning	partitioning	NOUN
easat-4020	54	3	has	have	AUX
easat-4020	54	4	also	also	ADV
easat-4020	54	5	gained	gain	VERB
easat-4020	54	6	much	much	ADJ
easat-4020	54	7	attention	attention	NOUN
easat-4020	54	8	and	and	CCONJ
easat-4020	54	9	beideman	beideman	NOUN
easat-4020	54	10	et	et	PROPN
easat-4020	54	11	al	al	PROPN
easat-4020	54	12	.	.	PROPN
easat-4020	55	1	(	(	PUNCT
easat-4020	55	2	2022	2022	NUM
easat-4020	55	3	)	)	PUNCT
easat-4020	55	4	present	present	ADJ
easat-4020	55	5	9440	9440	NUM
easat-4020	55	6	edelweiss	edelweiss	PROPN
easat-4020	55	7	applied	apply	VERB
easat-4020	55	8	science	science	NOUN
easat-4020	55	9	and	and	CCONJ
easat-4020	55	10	technology	technology	NOUN
easat-4020	55	11	issn	issn	PROPN
easat-4020	55	12	:	:	PUNCT
easat-4020	55	13	2576	2576	NUM
easat-4020	55	14	-	-	SYM
easat-4020	55	15	8484	8484	NUM
easat-4020	55	16	vol	vol	NOUN
easat-4020	55	17	.	.	PROPN
easat-4020	55	18	8	8	NUM
easat-4020	55	19	,	,	PUNCT
easat-4020	55	20	no	no	INTJ
easat-4020	55	21	.	.	NOUN
easat-4020	56	1	6	6	NUM
easat-4020	56	2	:	:	SYM
easat-4020	56	3	9438	9438	NUM
easat-4020	56	4	-	-	SYM
easat-4020	56	5	9449	9449	NUM
easat-4020	56	6	,	,	PUNCT
easat-4020	56	7	2024	2024	NUM
easat-4020	56	8	doi	doi	NOUN
easat-4020	56	9	:	:	PUNCT
easat-4020	56	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	56	11	©	©	ADP
easat-4020	56	12	2024	2024	NUM
easat-4020	56	13	by	by	ADP
easat-4020	56	14	the	the	DET
easat-4020	56	15	author	author	NOUN
easat-4020	56	16	;	;	PUNCT
easat-4020	56	17	licensee	licensee	PROPN
easat-4020	56	18	learning	learn	VERB
easat-4020	56	19	gate	gate	VERB
easat-4020	56	20	deterministic	deterministic	ADJ
easat-4020	56	21	algorithms	algorithm	NOUN
easat-4020	56	22	for	for	ADP
easat-4020	56	23	listing	list	VERB
easat-4020	56	24	min	min	NOUN
easat-4020	56	25	cut	cut	NOUN
easat-4020	56	26	-	-	PUNCT
easat-4020	56	27	set	set	VERB
easat-4020	56	28	and	and	CCONJ
easat-4020	56	29	k	k	NOUN
easat-4020	56	30	-	-	PUNCT
easat-4020	56	31	cut	cut	VERB
easat-4020	56	32	-	-	PUNCT
easat-4020	56	33	set	set	VERB
easat-4020	56	34	hypergraphs	hypergraph	NOUN
easat-4020	56	35	.	.	PUNCT
easat-4020	57	1	their	their	PRON
easat-4020	57	2	contributions	contribution	NOUN
easat-4020	57	3	offer	offer	VERB
easat-4020	57	4	the	the	DET
easat-4020	57	5	necessary	necessary	ADJ
easat-4020	57	6	theoretical	theoretical	ADJ
easat-4020	57	7	guarantees	guarantee	NOUN
easat-4020	57	8	of	of	ADP
easat-4020	57	9	hypergraph	hypergraph	NOUN
easat-4020	57	10	partitioning	partitioning	NOUN
easat-4020	57	11	,	,	PUNCT
easat-4020	57	12	especially	especially	ADV
easat-4020	57	13	for	for	ADP
easat-4020	57	14	the	the	DET
easat-4020	57	15	use	use	NOUN
easat-4020	57	16	cases	case	NOUN
easat-4020	57	17	that	that	PRON
easat-4020	57	18	need	need	VERB
easat-4020	57	19	determinism	determinism	NOUN
easat-4020	57	20	.	.	PUNCT
easat-4020	58	1	clustering	cluster	VERB
easat-4020	58	2	problems	problem	NOUN
easat-4020	58	3	remain	remain	AUX
easat-4020	58	4	benefitted	benefit	VERB
easat-4020	58	5	from	from	ADP
easat-4020	58	6	the	the	DET
easat-4020	58	7	knowledge	knowledge	NOUN
easat-4020	58	8	of	of	ADP
easat-4020	58	9	inapproximability	inapproximability	NOUN
easat-4020	58	10	specifically	specifically	ADV
easat-4020	58	11	,	,	PUNCT
easat-4020	58	12	austrin	austrin	NOUN
easat-4020	58	13	,	,	PUNCT
easat-4020	58	14	khot	khot	ADJ
easat-4020	58	15	and	and	CCONJ
easat-4020	58	16	safra	safra	NOUN
easat-4020	58	17	(	(	PUNCT
easat-4020	58	18	2011	2011	NUM
easat-4020	58	19	)	)	PUNCT
easat-4020	58	20	as	as	ADV
easat-4020	58	21	well	well	ADV
easat-4020	58	22	as	as	ADP
easat-4020	58	23	khot	khot	ADJ
easat-4020	58	24	and	and	CCONJ
easat-4020	58	25	regev	regev	ADJ
easat-4020	58	26	(	(	PUNCT
easat-4020	58	27	2008	2008	NUM
easat-4020	58	28	)	)	PUNCT
easat-4020	58	29	examine	examine	VERB
easat-4020	58	30	the	the	DET
easat-4020	58	31	hardness	hardness	NOUN
easat-4020	58	32	of	of	ADP
easat-4020	58	33	approximation	approximation	NOUN
easat-4020	58	34	for	for	ADP
easat-4020	58	35	the	the	DET
easat-4020	58	36	vertex	vertex	NOUN
easat-4020	58	37	cover	cover	NOUN
easat-4020	58	38	and	and	CCONJ
easat-4020	58	39	independent	independent	ADJ
easat-4020	58	40	set	set	NOUN
easat-4020	58	41	problems	problem	NOUN
easat-4020	58	42	,	,	PUNCT
easat-4020	58	43	within	within	ADP
easat-4020	58	44	bounded	bounded	ADJ
easat-4020	58	45	degree	degree	NOUN
easat-4020	58	46	graphs	graph	NOUN
easat-4020	58	47	.	.	PUNCT
easat-4020	59	1	these	these	DET
easat-4020	59	2	results	result	NOUN
easat-4020	59	3	give	give	VERB
easat-4020	59	4	fundamental	fundamental	ADJ
easat-4020	59	5	definitions	definition	NOUN
easat-4020	59	6	of	of	ADP
easat-4020	59	7	what	what	PRON
easat-4020	59	8	is	be	AUX
easat-4020	59	9	achievable	achievable	ADJ
easat-4020	59	10	in	in	ADP
easat-4020	59	11	approximation	approximation	NOUN
easat-4020	59	12	and	and	CCONJ
easat-4020	59	13	puts	put	VERB
easat-4020	59	14	a	a	DET
easat-4020	59	15	clear	clear	ADJ
easat-4020	59	16	benchmark	benchmark	NOUN
easat-4020	59	17	on	on	ADP
easat-4020	59	18	thealgorithms	thealgorithm	NOUN
easat-4020	59	19	capabilities	capability	NOUN
easat-4020	59	20	.	.	PUNCT
easat-4020	60	1	lastly	lastly	ADV
easat-4020	60	2	,	,	PUNCT
easat-4020	60	3	the	the	DET
easat-4020	60	4	investigation	investigation	NOUN
easat-4020	60	5	of	of	ADP
easat-4020	60	6	distribution	distribution	NOUN
easat-4020	60	7	methods	method	NOUN
easat-4020	60	8	at	at	ADP
easat-4020	60	9	the	the	DET
easat-4020	60	10	local	local	ADJ
easat-4020	60	11	level	level	NOUN
easat-4020	60	12	and	and	CCONJ
easat-4020	60	13	symmetry	symmetry	NOUN
easat-4020	60	14	gaps	gap	NOUN
easat-4020	60	15	discussed	discuss	VERB
easat-4020	60	16	by	by	ADP
easat-4020	60	17	ene	ene	PROPN
easat-4020	60	18	et	et	PROPN
easat-4020	60	19	al	al	PROPN
easat-4020	60	20	.	.	PROPN
easat-4020	61	1	(	(	PUNCT
easat-4020	61	2	2013	2013	NUM
easat-4020	61	3	)	)	PUNCT
easat-4020	61	4	and	and	CCONJ
easat-4020	61	5	the	the	DET
easat-4020	61	6	use	use	NOUN
easat-4020	61	7	of	of	ADP
easat-4020	61	8	hypergraph	hypergraph	NOUN
easat-4020	61	9	markov	markov	NOUN
easat-4020	61	10	operators	operator	NOUN
easat-4020	61	11	discussed	discuss	VERB
easat-4020	61	12	by	by	ADP
easat-4020	61	13	louis	louis	PROPN
easat-4020	61	14	(	(	PUNCT
easat-4020	61	15	2015	2015	NUM
easat-4020	61	16	)	)	PUNCT
easat-4020	61	17	have	have	AUX
easat-4020	61	18	presented	present	VERB
easat-4020	61	19	new	new	ADJ
easat-4020	61	20	methods	method	NOUN
easat-4020	61	21	for	for	ADP
easat-4020	61	22	partitioning	partition	VERB
easat-4020	61	23	.	.	PUNCT
easat-4020	62	1	these	these	PRON
easat-4020	62	2	works	work	VERB
easat-4020	62	3	balance	balance	NOUN
easat-4020	62	4	optimization	optimization	NOUN
easat-4020	62	5	procedures	procedure	NOUN
easat-4020	62	6	that	that	PRON
easat-4020	62	7	are	be	AUX
easat-4020	62	8	local	local	ADJ
easat-4020	62	9	and	and	CCONJ
easat-4020	62	10	the	the	DET
easat-4020	62	11	global	global	ADJ
easat-4020	62	12	approximation	approximation	NOUN
easat-4020	62	13	bounds	bound	NOUN
easat-4020	62	14	where	where	SCONJ
easat-4020	62	15	new	new	ADJ
easat-4020	62	16	perspectives	perspective	NOUN
easat-4020	62	17	into	into	ADP
easat-4020	62	18	efficient	efficient	ADJ
easat-4020	62	19	clusterings	clustering	NOUN
easat-4020	62	20	of	of	ADP
easat-4020	62	21	complicated	complicated	ADJ
easat-4020	62	22	structures	structure	NOUN
easat-4020	62	23	like	like	ADP
easat-4020	62	24	hypergraphs	hypergraph	NOUN
easat-4020	62	25	are	be	AUX
easat-4020	62	26	gained	gain	VERB
easat-4020	62	27	.	.	PUNCT
easat-4020	63	1	overall	overall	ADV
easat-4020	63	2	,	,	PUNCT
easat-4020	63	3	the	the	DET
easat-4020	63	4	state	state	NOUN
easat-4020	63	5	of	of	ADP
easat-4020	63	6	the	the	DET
easat-4020	63	7	art	art	NOUN
easat-4020	63	8	in	in	ADP
easat-4020	63	9	clustering	cluster	VERB
easat-4020	63	10	in	in	ADP
easat-4020	63	11	graphs	graph	NOUN
easat-4020	63	12	and	and	CCONJ
easat-4020	63	13	hypergraphs	hypergraph	NOUN
easat-4020	63	14	is	be	AUX
easat-4020	63	15	rather	rather	ADV
easat-4020	63	16	diverse	diverse	ADJ
easat-4020	63	17	and	and	CCONJ
easat-4020	63	18	continuously	continuously	ADV
easat-4020	63	19	developing	develop	VERB
easat-4020	63	20	.	.	PUNCT
easat-4020	64	1	since	since	SCONJ
easat-4020	64	2	the	the	DET
easat-4020	64	3	starting	starting	NOUN
easat-4020	64	4	point	point	NOUN
easat-4020	64	5	of	of	ADP
easat-4020	64	6	multiway	multiway	NOUN
easat-4020	64	7	cuts	cut	NOUN
easat-4020	64	8	and	and	CCONJ
easat-4020	64	9	nodeweighted	nodeweighte	VERB
easat-4020	64	10	graphs	graph	NOUN
easat-4020	64	11	to	to	ADP
easat-4020	64	12	the	the	DET
easat-4020	64	13	current	current	ADJ
easat-4020	64	14	studies	study	NOUN
easat-4020	64	15	on	on	ADP
easat-4020	64	16	hypergraph	hypergraph	NOUN
easat-4020	64	17	clustering	clustering	NOUN
easat-4020	64	18	and	and	CCONJ
easat-4020	64	19	spectral	spectral	ADJ
easat-4020	64	20	methods	method	NOUN
easat-4020	64	21	there	there	PRON
easat-4020	64	22	is	be	VERB
easat-4020	64	23	still	still	ADV
easat-4020	64	24	lot	lot	NOUN
easat-4020	64	25	of	of	ADP
easat-4020	64	26	scope	scope	NOUN
easat-4020	64	27	for	for	ADP
easat-4020	64	28	improvement	improvement	NOUN
easat-4020	64	29	with	with	ADP
easat-4020	64	30	respect	respect	NOUN
easat-4020	64	31	to	to	ADP
easat-4020	64	32	efficiency	efficiency	NOUN
easat-4020	64	33	as	as	ADV
easat-4020	64	34	well	well	ADV
easat-4020	64	35	as	as	ADP
easat-4020	64	36	accuracy	accuracy	NOUN
easat-4020	64	37	.	.	PUNCT
easat-4020	65	1	the	the	DET
easat-4020	65	2	approximation	approximation	NOUN
easat-4020	65	3	algorithms	algorithm	NOUN
easat-4020	65	4	,	,	PUNCT
easat-4020	65	5	the	the	DET
easat-4020	65	6	spectral	spectral	ADJ
easat-4020	65	7	methods	method	NOUN
easat-4020	65	8	,	,	PUNCT
easat-4020	65	9	and	and	CCONJ
easat-4020	65	10	submodular	submodular	ADJ
easat-4020	65	11	optimization	optimization	NOUN
easat-4020	65	12	being	be	AUX
easat-4020	65	13	used	use	VERB
easat-4020	65	14	for	for	ADP
easat-4020	65	15	clustering	cluster	VERB
easat-4020	65	16	illustrate	illustrate	VERB
easat-4020	65	17	the	the	DET
easat-4020	65	18	nature	nature	NOUN
easat-4020	65	19	of	of	ADP
easat-4020	65	20	clustering	cluster	VERB
easat-4020	65	21	problems	problem	NOUN
easat-4020	65	22	and	and	CCONJ
easat-4020	65	23	the	the	DET
easat-4020	65	24	continued	continue	VERB
easat-4020	65	25	work	work	NOUN
easat-4020	65	26	being	be	AUX
easat-4020	65	27	done	do	VERB
easat-4020	65	28	to	to	PART
easat-4020	65	29	solve	solve	VERB
easat-4020	65	30	them	they	PRON
easat-4020	65	31	.	.	PUNCT
easat-4020	66	1	the	the	DET
easat-4020	66	2	following	follow	VERB
easat-4020	66	3	table	table	NOUN
easat-4020	66	4	defines	define	VERB
easat-4020	66	5	the	the	DET
easat-4020	66	6	general	general	ADJ
easat-4020	66	7	terms	term	NOUN
easat-4020	66	8	and	and	CCONJ
easat-4020	66	9	symbols	symbol	NOUN
easat-4020	66	10	used	use	VERB
easat-4020	66	11	throughout	throughout	ADP
easat-4020	66	12	this	this	DET
easat-4020	66	13	study	study	NOUN
easat-4020	66	14	.	.	PUNCT
easat-4020	67	1	these	these	DET
easat-4020	67	2	terms	term	NOUN
easat-4020	67	3	provide	provide	VERB
easat-4020	67	4	clarity	clarity	NOUN
easat-4020	67	5	on	on	ADP
easat-4020	67	6	the	the	DET
easat-4020	67	7	mathematical	mathematical	ADJ
easat-4020	67	8	and	and	CCONJ
easat-4020	67	9	structural	structural	ADJ
easat-4020	67	10	components	component	NOUN
easat-4020	67	11	of	of	ADP
easat-4020	67	12	graphs	graph	NOUN
easat-4020	67	13	and	and	CCONJ
easat-4020	67	14	hypergraphs	hypergraph	NOUN
easat-4020	67	15	referenced	reference	VERB
easat-4020	67	16	in	in	ADP
easat-4020	67	17	the	the	DET
easat-4020	67	18	methodology	methodology	NOUN
easat-4020	67	19	and	and	CCONJ
easat-4020	67	20	results	result	NOUN
easat-4020	67	21	.	.	PUNCT
easat-4020	68	1	table	table	NOUN
easat-4020	68	2	1	1	NUM
easat-4020	68	3	.	.	PUNCT
easat-4020	69	1	nomenclature	nomenclature	NOUN
easat-4020	69	2	:	:	PUNCT
easat-4020	69	3	general	general	ADJ
easat-4020	69	4	terms	term	NOUN
easat-4020	69	5	and	and	CCONJ
easat-4020	69	6	symbols	symbol	NOUN
easat-4020	69	7	.	.	PUNCT
easat-4020	70	1	term	term	NOUN
easat-4020	70	2	/	/	SYM
easat-4020	70	3	symbol	symbol	NOUN
easat-4020	70	4	definition	definition	NOUN
easat-4020	70	5	g	g	ADP
easat-4020	70	6	a	a	DET
easat-4020	70	7	graph	graph	NOUN
easat-4020	70	8	consisting	consist	VERB
easat-4020	70	9	of	of	ADP
easat-4020	70	10	vertices	vertex	NOUN
easat-4020	70	11	and	and	CCONJ
easat-4020	70	12	edges	edge	NOUN
easat-4020	70	13	.	.	PUNCT
easat-4020	71	1	h	h	NOUN
easat-4020	71	2	a	a	DET
easat-4020	71	3	hypergraph	hypergraph	NOUN
easat-4020	71	4	where	where	SCONJ
easat-4020	71	5	edges	edge	NOUN
easat-4020	71	6	can	can	AUX
easat-4020	71	7	connect	connect	VERB
easat-4020	71	8	more	more	ADJ
easat-4020	71	9	than	than	ADP
easat-4020	71	10	two	two	NUM
easat-4020	71	11	vertices	vertex	NOUN
easat-4020	71	12	.	.	PUNCT
easat-4020	72	1	k	k	X
easat-4020	73	1	the	the	DET
easat-4020	73	2	number	number	NOUN
easat-4020	73	3	of	of	ADP
easat-4020	73	4	distinct	distinct	ADJ
easat-4020	73	5	edge	edge	NOUN
easat-4020	73	6	colors	color	NOUN
easat-4020	73	7	used	use	VERB
easat-4020	73	8	in	in	ADP
easat-4020	73	9	k	k	ADJ
easat-4020	73	10	-	-	PUNCT
easat-4020	73	11	edge	edge	NOUN
easat-4020	73	12	-	-	PUNCT
easat-4020	73	13	colored	color	VERB
easat-4020	73	14	graphs	graph	NOUN
easat-4020	73	15	/	/	SYM
easat-4020	73	16	hypergraphs	hypergraph	NOUN
easat-4020	73	17	.	.	PUNCT
easat-4020	74	1	c	c	VERB
easat-4020	74	2	a	a	DET
easat-4020	74	3	cluster	cluster	NOUN
easat-4020	74	4	or	or	CCONJ
easat-4020	74	5	group	group	NOUN
easat-4020	74	6	formed	form	VERB
easat-4020	74	7	during	during	ADP
easat-4020	74	8	clustering	clustering	NOUN
easat-4020	74	9	.	.	PUNCT
easat-4020	75	1	λ	λ	PROPN
easat-4020	75	2	eigenvalue	eigenvalue	PROPN
easat-4020	75	3	used	use	VERB
easat-4020	75	4	in	in	ADP
easat-4020	75	5	spectral	spectral	ADJ
easat-4020	75	6	clustering	clustering	NOUN
easat-4020	75	7	.	.	PUNCT
easat-4020	76	1	t	t	PROPN
easat-4020	76	2	computational	computational	ADJ
easat-4020	76	3	time	time	NOUN
easat-4020	76	4	or	or	CCONJ
easat-4020	76	5	runtime	runtime	NOUN
easat-4020	76	6	of	of	ADP
easat-4020	76	7	the	the	DET
easat-4020	76	8	algorithm	algorithm	NOUN
easat-4020	76	9	,	,	PUNCT
easat-4020	76	10	in	in	ADP
easat-4020	76	11	seconds	second	NOUN
easat-4020	76	12	.	.	PUNCT
easat-4020	77	1	n	n	DET
easat-4020	77	2	number	number	NOUN
easat-4020	77	3	of	of	ADP
easat-4020	77	4	nodes	node	NOUN
easat-4020	77	5	in	in	ADP
easat-4020	77	6	a	a	DET
easat-4020	77	7	graph	graph	NOUN
easat-4020	77	8	or	or	CCONJ
easat-4020	77	9	hypergraph	hypergraph	VERB
easat-4020	77	10	.	.	PUNCT
easat-4020	78	1	2	2	X
easat-4020	78	2	.	.	X
easat-4020	78	3	method	method	VERB
easat-4020	78	4	the	the	DET
easat-4020	78	5	proposed	propose	VERB
easat-4020	78	6	method	method	NOUN
easat-4020	78	7	builds	build	VERB
easat-4020	78	8	up	up	ADP
easat-4020	78	9	on	on	ADP
easat-4020	78	10	recent	recent	ADJ
easat-4020	78	11	architectures	architecture	NOUN
easat-4020	78	12	of	of	ADP
easat-4020	78	13	clustering	clustering	ADJ
easat-4020	78	14	algorithms	algorithm	NOUN
easat-4020	78	15	especially	especially	ADV
easat-4020	78	16	for	for	ADP
easat-4020	78	17	multi	multi	ADJ
easat-4020	78	18	-	-	ADJ
easat-4020	78	19	label	label	ADJ
easat-4020	78	20	and	and	CCONJ
easat-4020	78	21	k	k	ADJ
easat-4020	78	22	-	-	PUNCT
easat-4020	78	23	edge	edge	NOUN
easat-4020	78	24	-	-	PUNCT
easat-4020	78	25	colored	color	VERB
easat-4020	78	26	graphs	graph	NOUN
easat-4020	78	27	and	and	CCONJ
easat-4020	78	28	hyper	hyper	ADJ
easat-4020	78	29	graphs	graph	NOUN
easat-4020	78	30	to	to	PART
easat-4020	78	31	achieve	achieve	VERB
easat-4020	78	32	improved	improved	ADJ
easat-4020	78	33	accuracy	accuracy	NOUN
easat-4020	78	34	and	and	CCONJ
easat-4020	78	35	computation	computation	NOUN
easat-4020	78	36	time	time	NOUN
easat-4020	78	37	.	.	PUNCT
easat-4020	79	1	this	this	PRON
easat-4020	79	2	makes	make	VERB
easat-4020	79	3	it	it	PRON
easat-4020	79	4	possible	possible	ADJ
easat-4020	79	5	to	to	PART
easat-4020	79	6	use	use	VERB
easat-4020	79	7	a	a	DET
easat-4020	79	8	scalable	scalable	ADJ
easat-4020	79	9	and	and	CCONJ
easat-4020	79	10	as	as	ADV
easat-4020	79	11	well	well	ADV
easat-4020	79	12	as	as	ADP
easat-4020	79	13	a	a	DET
easat-4020	79	14	practical	practical	ADJ
easat-4020	79	15	clustering	clustering	NOUN
easat-4020	79	16	solution	solution	NOUN
easat-4020	79	17	for	for	ADP
easat-4020	79	18	approximation	approximation	NOUN
easat-4020	79	19	algorithms	algorithm	NOUN
easat-4020	79	20	,	,	PUNCT
easat-4020	79	21	hypergraph	hypergraph	VERB
easat-4020	79	22	partitioning	partition	VERB
easat-4020	79	23	along	along	ADP
easat-4020	79	24	with	with	ADP
easat-4020	79	25	spectral	spectral	ADJ
easat-4020	79	26	methods	method	NOUN
easat-4020	79	27	.	.	PUNCT
easat-4020	80	1	2.1	2.1	NUM
easat-4020	80	2	.	.	PUNCT
easat-4020	81	1	problem	problem	NOUN
easat-4020	81	2	formulation	formulation	NOUN
easat-4020	81	3	the	the	DET
easat-4020	81	4	clustering	clustering	ADJ
easat-4020	81	5	problem	problem	NOUN
easat-4020	81	6	is	be	AUX
easat-4020	81	7	formulated	formulate	VERB
easat-4020	81	8	as	as	ADP
easat-4020	81	9	k	k	ADJ
easat-4020	81	10	-	-	PUNCT
easat-4020	81	11	edge	edge	ADJ
easat-4020	81	12	colored	colored	ADJ
easat-4020	81	13	clustering	clustering	NOUN
easat-4020	81	14	,	,	PUNCT
easat-4020	81	15	where	where	SCONJ
easat-4020	81	16	,	,	PUNCT
easat-4020	81	17	in	in	ADP
easat-4020	81	18	the	the	DET
easat-4020	81	19	given	give	VERB
easat-4020	81	20	graph	graph	NOUN
easat-4020	81	21	or	or	CCONJ
easat-4020	81	22	hyper	hyper	ADJ
easat-4020	81	23	graph	graph	NOUN
easat-4020	81	24	,	,	PUNCT
easat-4020	81	25	nodes	node	NOUN
easat-4020	81	26	are	be	AUX
easat-4020	81	27	clustered	cluster	VERB
easat-4020	81	28	in	in	ADP
easat-4020	81	29	a	a	DET
easat-4020	81	30	way	way	NOUN
easat-4020	81	31	to	to	PART
easat-4020	81	32	have	have	AUX
easat-4020	81	33	least	least	ADJ
easat-4020	81	34	inter	inter	ADJ
easat-4020	81	35	cluster	cluster	NOUN
easat-4020	81	36	edge	edge	NOUN
easat-4020	81	37	cuts	cut	NOUN
easat-4020	81	38	while	while	SCONJ
easat-4020	81	39	at	at	ADP
easat-4020	81	40	the	the	DET
easat-4020	81	41	same	same	ADJ
easat-4020	81	42	time	time	NOUN
easat-4020	81	43	having	have	VERB
easat-4020	81	44	dense	dense	ADJ
easat-4020	81	45	intra	intra	ADJ
easat-4020	81	46	cluster	cluster	NOUN
easat-4020	81	47	edges	edge	NOUN
easat-4020	81	48	.	.	PUNCT
easat-4020	82	1	the	the	DET
easat-4020	82	2	problem	problem	NOUN
easat-4020	82	3	is	be	AUX
easat-4020	82	4	very	very	ADV
easat-4020	82	5	similar	similar	ADJ
easat-4020	82	6	to	to	ADP
easat-4020	82	7	the	the	DET
easat-4020	82	8	so	so	ADV
easat-4020	82	9	-	-	PUNCT
easat-4020	82	10	called	call	VERB
easat-4020	82	11	maximum	maximum	ADJ
easat-4020	82	12	k	k	ADJ
easat-4020	82	13	-	-	PUNCT
easat-4020	82	14	edge	edge	NOUN
easat-4020	82	15	-	-	PUNCT
easat-4020	82	16	colored	colored	ADJ
easat-4020	82	17	clustering	clustering	NOUN
easat-4020	82	18	problem	problem	NOUN
easat-4020	82	19	studied	study	VERB
easat-4020	82	20	by	by	ADP
easat-4020	82	21	ageev	ageev	PROPN
easat-4020	82	22	and	and	CCONJ
easat-4020	82	23	kononov	kononov	PROPN
easat-4020	82	24	(	(	PUNCT
easat-4020	82	25	2014	2014	NUM
easat-4020	82	26	,	,	PUNCT
easat-4020	82	27	2020	2020	NUM
easat-4020	82	28	)	)	PUNCT
easat-4020	82	29	,	,	PUNCT
easat-4020	82	30	who	who	PRON
easat-4020	82	31	gave	give	VERB
easat-4020	82	32	approximation	approximation	NOUN
easat-4020	82	33	algorithms	algorithm	NOUN
easat-4020	82	34	with	with	ADP
easat-4020	82	35	certain	certain	ADJ
easat-4020	82	36	guarantees	guarantee	NOUN
easat-4020	82	37	.	.	PUNCT
easat-4020	83	1	this	this	DET
easat-4020	83	2	method	method	NOUN
easat-4020	83	3	is	be	AUX
easat-4020	83	4	an	an	DET
easat-4020	83	5	extension	extension	NOUN
easat-4020	83	6	of	of	ADP
easat-4020	83	7	their	their	PRON
easat-4020	83	8	proposed	propose	VERB
easat-4020	83	9	framework	framework	NOUN
easat-4020	83	10	as	as	SCONJ
easat-4020	83	11	they	they	PRON
easat-4020	83	12	explain	explain	VERB
easat-4020	83	13	how	how	SCONJ
easat-4020	83	14	hypergraph	hypergraph	NOUN
easat-4020	83	15	-	-	PUNCT
easat-4020	83	16	based	base	VERB
easat-4020	83	17	approaches	approach	NOUN
easat-4020	83	18	can	can	AUX
easat-4020	83	19	be	be	AUX
easat-4020	83	20	used	use	VERB
easat-4020	83	21	to	to	PART
easat-4020	83	22	effectively	effectively	ADV
easat-4020	83	23	deal	deal	VERB
easat-4020	83	24	with	with	ADP
easat-4020	83	25	multi	multi	ADJ
easat-4020	83	26	-	-	ADJ
easat-4020	83	27	dimensional	dimensional	ADJ
easat-4020	83	28	and	and	CCONJ
easat-4020	83	29	multi	multi	ADJ
easat-4020	83	30	label	label	NOUN
easat-4020	83	31	data	datum	NOUN
easat-4020	83	32	.	.	PUNCT
easat-4020	84	1	to	to	PART
easat-4020	84	2	clarify	clarify	VERB
easat-4020	84	3	the	the	DET
easat-4020	84	4	core	core	NOUN
easat-4020	84	5	concepts	concept	NOUN
easat-4020	84	6	of	of	ADP
easat-4020	84	7	multi	multi	ADJ
easat-4020	84	8	-	-	ADJ
easat-4020	84	9	label	label	ADJ
easat-4020	84	10	and	and	CCONJ
easat-4020	84	11	k	k	ADJ
easat-4020	84	12	-	-	PUNCT
easat-4020	84	13	edge	edge	NOUN
easat-4020	84	14	-	-	PUNCT
easat-4020	84	15	colored	color	VERB
easat-4020	84	16	graphs	graph	NOUN
easat-4020	84	17	and	and	CCONJ
easat-4020	84	18	hypergraphs	hypergraph	NOUN
easat-4020	84	19	,	,	PUNCT
easat-4020	84	20	a	a	DET
easat-4020	84	21	concise	concise	ADJ
easat-4020	84	22	comparison	comparison	NOUN
easat-4020	84	23	is	be	AUX
easat-4020	84	24	presented	present	VERB
easat-4020	84	25	in	in	ADP
easat-4020	84	26	table	table	NOUN
easat-4020	84	27	1	1	NUM
easat-4020	84	28	.	.	PUNCT
easat-4020	85	1	these	these	DET
easat-4020	85	2	structures	structure	NOUN
easat-4020	85	3	are	be	AUX
easat-4020	85	4	fundamental	fundamental	ADJ
easat-4020	85	5	to	to	ADP
easat-4020	85	6	understanding	understand	VERB
easat-4020	85	7	the	the	DET
easat-4020	85	8	proposed	propose	VERB
easat-4020	85	9	algorithms	algorithm	NOUN
easat-4020	85	10	.	.	PUNCT
easat-4020	86	1	a	a	DET
easat-4020	86	2	multi	multi	ADJ
easat-4020	86	3	-	-	ADJ
easat-4020	86	4	label	label	ADJ
easat-4020	86	5	graph	graph	NOUN
easat-4020	86	6	assigns	assign	NOUN
easat-4020	86	7	multiple	multiple	ADJ
easat-4020	86	8	attributes	attribute	NOUN
easat-4020	86	9	to	to	ADP
easat-4020	86	10	its	its	PRON
easat-4020	86	11	nodes	node	NOUN
easat-4020	86	12	,	,	PUNCT
easat-4020	86	13	while	while	SCONJ
easat-4020	86	14	k	k	ADJ
easat-4020	86	15	-	-	PUNCT
easat-4020	86	16	edge	edge	NOUN
easat-4020	86	17	-	-	PUNCT
easat-4020	86	18	colored	color	VERB
easat-4020	86	19	graphs	graph	NOUN
easat-4020	86	20	9441	9441	NUM
easat-4020	86	21	edelweiss	edelweiss	PROPN
easat-4020	86	22	applied	apply	VERB
easat-4020	86	23	science	science	NOUN
easat-4020	86	24	and	and	CCONJ
easat-4020	86	25	technology	technology	NOUN
easat-4020	86	26	issn	issn	PROPN
easat-4020	86	27	:	:	PUNCT
easat-4020	86	28	2576	2576	NUM
easat-4020	86	29	-	-	SYM
easat-4020	86	30	8484	8484	NUM
easat-4020	86	31	vol	vol	NOUN
easat-4020	86	32	.	.	PROPN
easat-4020	86	33	8	8	NUM
easat-4020	86	34	,	,	PUNCT
easat-4020	86	35	no	no	INTJ
easat-4020	86	36	.	.	NOUN
easat-4020	87	1	6	6	NUM
easat-4020	87	2	:	:	SYM
easat-4020	87	3	9438	9438	NUM
easat-4020	87	4	-	-	SYM
easat-4020	87	5	9449	9449	NUM
easat-4020	87	6	,	,	PUNCT
easat-4020	87	7	2024	2024	NUM
easat-4020	87	8	doi	doi	NOUN
easat-4020	87	9	:	:	PUNCT
easat-4020	87	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	87	11	©	©	ADP
easat-4020	87	12	2024	2024	NUM
easat-4020	87	13	by	by	ADP
easat-4020	87	14	the	the	DET
easat-4020	87	15	author	author	NOUN
easat-4020	87	16	;	;	PUNCT
easat-4020	87	17	licensee	licensee	NOUN
easat-4020	87	18	learning	learn	VERB
easat-4020	87	19	gate	gate	PROPN
easat-4020	87	20	and	and	CCONJ
easat-4020	87	21	hypergraphs	hypergraph	NOUN
easat-4020	87	22	use	use	VERB
easat-4020	87	23	distinct	distinct	ADJ
easat-4020	87	24	colors	color	NOUN
easat-4020	87	25	for	for	ADP
easat-4020	87	26	edges	edge	NOUN
easat-4020	87	27	to	to	PART
easat-4020	87	28	ensure	ensure	VERB
easat-4020	87	29	specific	specific	ADJ
easat-4020	87	30	constraints	constraint	NOUN
easat-4020	87	31	,	,	PUNCT
easat-4020	87	32	such	such	ADJ
easat-4020	87	33	as	as	ADP
easat-4020	87	34	no	no	DET
easat-4020	87	35	two	two	NUM
easat-4020	87	36	adjacent	adjacent	ADJ
easat-4020	87	37	edges	edge	NOUN
easat-4020	87	38	sharing	share	VERB
easat-4020	87	39	the	the	DET
easat-4020	87	40	same	same	ADJ
easat-4020	87	41	color	color	NOUN
easat-4020	87	42	.	.	PUNCT
easat-4020	88	1	both	both	DET
easat-4020	88	2	structures	structure	NOUN
easat-4020	88	3	find	find	VERB
easat-4020	88	4	applications	application	NOUN
easat-4020	88	5	in	in	ADP
easat-4020	88	6	diverse	diverse	ADJ
easat-4020	88	7	domains	domain	NOUN
easat-4020	88	8	such	such	ADJ
easat-4020	88	9	as	as	ADP
easat-4020	88	10	network	network	NOUN
easat-4020	88	11	analysis	analysis	NOUN
easat-4020	88	12	,	,	PUNCT
easat-4020	88	13	data	datum	NOUN
easat-4020	88	14	grouping	grouping	NOUN
easat-4020	88	15	,	,	PUNCT
easat-4020	88	16	and	and	CCONJ
easat-4020	88	17	parallel	parallel	ADJ
easat-4020	88	18	computing	computing	NOUN
easat-4020	88	19	,	,	PUNCT
easat-4020	88	20	forming	form	VERB
easat-4020	88	21	the	the	DET
easat-4020	88	22	foundation	foundation	NOUN
easat-4020	88	23	for	for	ADP
easat-4020	88	24	this	this	DET
easat-4020	88	25	research	research	NOUN
easat-4020	88	26	.	.	PUNCT
easat-4020	89	1	table	table	NOUN
easat-4020	89	2	2	2	NUM
easat-4020	89	3	.	.	PUNCT
easat-4020	89	4	key	key	ADJ
easat-4020	89	5	characteristics	characteristic	NOUN
easat-4020	89	6	of	of	ADP
easat-4020	89	7	multi	multi	ADJ
easat-4020	89	8	-	-	ADJ
easat-4020	89	9	label	label	ADJ
easat-4020	89	10	graphs	graph	NOUN
easat-4020	89	11	and	and	CCONJ
easat-4020	89	12	k	k	ADJ
easat-4020	89	13	-	-	PUNCT
easat-4020	89	14	edge	edge	NOUN
easat-4020	89	15	-	-	PUNCT
easat-4020	89	16	colored	color	VERB
easat-4020	89	17	hypergraphs	hypergraph	NOUN
easat-4020	89	18	.	.	PUNCT
easat-4020	90	1	property	property	NOUN
easat-4020	90	2	multi	multi	ADJ
easat-4020	90	3	-	-	ADJ
easat-4020	90	4	label	label	ADJ
easat-4020	90	5	graph	graph	NOUN
easat-4020	90	6	k	k	ADJ
easat-4020	90	7	-	-	PUNCT
easat-4020	90	8	edge	edge	NOUN
easat-4020	90	9	colored	colored	ADJ
easat-4020	90	10	hypergraph	hypergraph	NOUN
easat-4020	90	11	nodes	node	NOUN
easat-4020	90	12	nodes	node	NOUN
easat-4020	90	13	have	have	VERB
easat-4020	90	14	one	one	NUM
easat-4020	90	15	or	or	CCONJ
easat-4020	90	16	more	more	ADJ
easat-4020	90	17	labels	label	NOUN
easat-4020	90	18	representing	represent	VERB
easat-4020	90	19	attributes	attribute	NOUN
easat-4020	90	20	.	.	PUNCT
easat-4020	91	1	nodes	node	NOUN
easat-4020	91	2	may	may	AUX
easat-4020	91	3	have	have	VERB
easat-4020	91	4	multiple	multiple	ADJ
easat-4020	91	5	attributes	attribute	NOUN
easat-4020	91	6	,	,	PUNCT
easat-4020	91	7	similar	similar	ADJ
easat-4020	91	8	to	to	ADP
easat-4020	91	9	multi	multi	ADJ
easat-4020	91	10	-	-	ADJ
easat-4020	91	11	label	label	ADJ
easat-4020	91	12	graphs	graph	NOUN
easat-4020	91	13	.	.	PUNCT
easat-4020	92	1	edges	edge	NOUN
easat-4020	92	2	edges	edge	NOUN
easat-4020	92	3	are	be	AUX
easat-4020	92	4	plain	plain	ADJ
easat-4020	92	5	,	,	PUNCT
easat-4020	92	6	connecting	connect	VERB
easat-4020	92	7	nodes	node	NOUN
easat-4020	92	8	without	without	ADP
easat-4020	92	9	additional	additional	ADJ
easat-4020	92	10	properties	property	NOUN
easat-4020	92	11	.	.	PUNCT
easat-4020	93	1	edges	edge	NOUN
easat-4020	93	2	are	be	AUX
easat-4020	93	3	assigned	assign	VERB
easat-4020	93	4	one	one	NUM
easat-4020	93	5	of	of	ADP
easat-4020	93	6	k	k	X
easat-4020	93	7	distinct	distinct	ADJ
easat-4020	93	8	colors	color	NOUN
easat-4020	93	9	to	to	PART
easat-4020	93	10	fulfill	fulfill	VERB
easat-4020	93	11	coloring	coloring	NOUN
easat-4020	93	12	constraints	constraint	NOUN
easat-4020	93	13	.	.	PUNCT
easat-4020	94	1	constraints	constraint	VERB
easat-4020	94	2	no	no	DET
easat-4020	94	3	specific	specific	ADJ
easat-4020	94	4	constraints	constraint	NOUN
easat-4020	94	5	on	on	ADP
easat-4020	94	6	edges	edge	NOUN
easat-4020	94	7	.	.	PUNCT
easat-4020	95	1	adjacent	adjacent	ADJ
easat-4020	95	2	edges	edge	NOUN
easat-4020	95	3	must	must	AUX
easat-4020	95	4	have	have	VERB
easat-4020	95	5	different	different	ADJ
easat-4020	95	6	colors	color	NOUN
easat-4020	95	7	to	to	PART
easat-4020	95	8	satisfy	satisfy	VERB
easat-4020	95	9	k	k	ADJ
easat-4020	95	10	-	-	PUNCT
easat-4020	95	11	edge	edge	NOUN
easat-4020	95	12	coloring	coloring	NOUN
easat-4020	95	13	.	.	PUNCT
easat-4020	96	1	applications	application	NOUN
easat-4020	96	2	social	social	ADJ
easat-4020	96	3	networks	network	NOUN
easat-4020	96	4	,	,	PUNCT
easat-4020	96	5	biological	biological	ADJ
easat-4020	96	6	networks	network	NOUN
easat-4020	96	7	,	,	PUNCT
easat-4020	96	8	and	and	CCONJ
easat-4020	96	9	recommendation	recommendation	NOUN
easat-4020	96	10	systems	system	NOUN
easat-4020	96	11	.	.	PUNCT
easat-4020	97	1	parallel	parallel	ADJ
easat-4020	97	2	computing	computing	NOUN
easat-4020	97	3	,	,	PUNCT
easat-4020	97	4	network	network	NOUN
easat-4020	97	5	layout	layout	NOUN
easat-4020	97	6	optimization	optimization	NOUN
easat-4020	97	7	,	,	PUNCT
easat-4020	97	8	and	and	CCONJ
easat-4020	97	9	data	datum	NOUN
easat-4020	97	10	grouping	grouping	NOUN
easat-4020	97	11	.	.	PUNCT
easat-4020	98	1	the	the	DET
easat-4020	98	2	following	follow	VERB
easat-4020	98	3	greek	greek	ADJ
easat-4020	98	4	symbols	symbol	NOUN
easat-4020	98	5	are	be	AUX
easat-4020	98	6	used	use	VERB
easat-4020	98	7	to	to	PART
easat-4020	98	8	denote	denote	VERB
easat-4020	98	9	key	key	ADJ
easat-4020	98	10	mathematical	mathematical	ADJ
easat-4020	98	11	parameters	parameter	NOUN
easat-4020	98	12	and	and	CCONJ
easat-4020	98	13	clustering	cluster	VERB
easat-4020	98	14	thresholds	threshold	NOUN
easat-4020	98	15	in	in	ADP
easat-4020	98	16	the	the	DET
easat-4020	98	17	proposed	propose	VERB
easat-4020	98	18	algorithms	algorithm	NOUN
easat-4020	98	19	.	.	PUNCT
easat-4020	99	1	they	they	PRON
easat-4020	99	2	are	be	AUX
easat-4020	99	3	essential	essential	ADJ
easat-4020	99	4	for	for	ADP
easat-4020	99	5	the	the	DET
easat-4020	99	6	formulation	formulation	NOUN
easat-4020	99	7	and	and	CCONJ
easat-4020	99	8	analysis	analysis	NOUN
easat-4020	99	9	of	of	ADP
easat-4020	99	10	hypergraph	hypergraph	NOUN
easat-4020	99	11	properties	property	NOUN
easat-4020	99	12	.	.	PUNCT
easat-4020	100	1	table	table	NOUN
easat-4020	100	2	3	3	NUM
easat-4020	100	3	.	.	PUNCT
easat-4020	101	1	nomenclature	nomenclature	NOUN
easat-4020	101	2	:	:	PUNCT
easat-4020	101	3	greek	greek	ADJ
easat-4020	101	4	symbols	symbol	NOUN
easat-4020	101	5	.	.	PUNCT
easat-4020	102	1	symbol	symbol	NOUN
easat-4020	102	2	definition	definition	NOUN
easat-4020	102	3	α	α	PROPN
easat-4020	102	4	angle	angle	NOUN
easat-4020	102	5	of	of	ADP
easat-4020	102	6	incidence	incidence	NOUN
easat-4020	102	7	or	or	CCONJ
easat-4020	102	8	parameter	parameter	NOUN
easat-4020	102	9	for	for	ADP
easat-4020	102	10	edge	edge	NOUN
easat-4020	102	11	density	density	NOUN
easat-4020	102	12	.	.	PUNCT
easat-4020	103	1	β	β	PROPN
easat-4020	103	2	parameter	parameter	NOUN
easat-4020	103	3	defining	define	VERB
easat-4020	103	4	the	the	DET
easat-4020	103	5	quality	quality	NOUN
easat-4020	103	6	of	of	ADP
easat-4020	103	7	separation	separation	NOUN
easat-4020	103	8	in	in	ADP
easat-4020	103	9	clusters	cluster	NOUN
easat-4020	103	10	.	.	PUNCT
easat-4020	104	1	θ	θ	PROPN
easat-4020	104	2	threshold	threshold	NOUN
easat-4020	104	3	for	for	ADP
easat-4020	104	4	conductance	conductance	NOUN
easat-4020	104	5	or	or	CCONJ
easat-4020	104	6	clustering	clustering	ADJ
easat-4020	104	7	accuracy	accuracy	NOUN
easat-4020	104	8	.	.	PUNCT
easat-4020	105	1	2.2	2.2	NUM
easat-4020	105	2	.	.	PUNCT
easat-4020	106	1	approximation	approximation	NOUN
easat-4020	106	2	algorithms	algorithm	NOUN
easat-4020	106	3	the	the	DET
easat-4020	106	4	main	main	ADJ
easat-4020	106	5	reason	reason	NOUN
easat-4020	106	6	for	for	ADP
easat-4020	106	7	using	use	VERB
easat-4020	106	8	approximation	approximation	NOUN
easat-4020	106	9	algorithms	algorithm	NOUN
easat-4020	106	10	in	in	ADP
easat-4020	106	11	this	this	DET
easat-4020	106	12	method	method	NOUN
easat-4020	106	13	is	be	AUX
easat-4020	106	14	that	that	SCONJ
easat-4020	106	15	clustering	cluster	VERB
easat-4020	106	16	in	in	ADP
easat-4020	106	17	large	large	ADJ
easat-4020	106	18	complex	complex	ADJ
easat-4020	106	19	and	and	CCONJ
easat-4020	106	20	hyper	hyper	ADJ
easat-4020	106	21	graphs	graph	NOUN
easat-4020	106	22	is	be	AUX
easat-4020	106	23	np	np	NOUN
easat-4020	106	24	-	-	PUNCT
easat-4020	106	25	hard	hard	ADJ
easat-4020	106	26	.	.	PUNCT
easat-4020	107	1	in	in	ADP
easat-4020	107	2	line	line	NOUN
easat-4020	107	3	with	with	ADP
easat-4020	107	4	the	the	DET
easat-4020	107	5	work	work	NOUN
easat-4020	107	6	from	from	ADP
easat-4020	107	7	alhamdan	alhamdan	PROPN
easat-4020	107	8	and	and	CCONJ
easat-4020	107	9	kononov	kononov	PROPN
easat-4020	107	10	,	,	PUNCT
easat-4020	107	11	2019	2019	NUM
easat-4020	107	12	who	who	PRON
easat-4020	107	13	established	establish	VERB
easat-4020	107	14	the	the	DET
easat-4020	107	15	approximability	approximability	NOUN
easat-4020	107	16	and	and	CCONJ
easat-4020	107	17	inapproximability	inapproximability	NOUN
easat-4020	107	18	of	of	ADP
easat-4020	107	19	the	the	DET
easat-4020	107	20	k	k	ADJ
easat-4020	107	21	-	-	PUNCT
easat-4020	107	22	edge	edge	NOUN
easat-4020	107	23	-	-	PUNCT
easat-4020	107	24	colored	colored	ADJ
easat-4020	107	25	clustering	clustering	NOUN
easat-4020	107	26	problem	problem	NOUN
easat-4020	107	27	,	,	PUNCT
easat-4020	107	28	this	this	DET
easat-4020	107	29	method	method	NOUN
easat-4020	107	30	applies	apply	VERB
easat-4020	107	31	a	a	DET
easat-4020	107	32	baseline	baseline	ADJ
easat-4020	107	33	algorithm	algorithm	NOUN
easat-4020	107	34	with	with	ADP
easat-4020	107	35	a	a	DET
easat-4020	107	36	0.3622	0.3622	NUM
easat-4020	107	37	-	-	PUNCT
easat-4020	107	38	approximation	approximation	NOUN
easat-4020	107	39	.	.	PUNCT
easat-4020	108	1	the	the	DET
easat-4020	108	2	algorithm	algorithm	NOUN
easat-4020	108	3	draws	draw	VERB
easat-4020	108	4	from	from	ADP
easat-4020	108	5	heuristics	heuristic	NOUN
easat-4020	108	6	from	from	ADP
easat-4020	108	7	bonchi	bonchi	PROPN
easat-4020	108	8	et	et	PROPN
easat-4020	108	9	al	al	PROPN
easat-4020	108	10	.	.	PROPN
easat-4020	109	1	(	(	PUNCT
easat-4020	109	2	2015	2015	NUM
easat-4020	109	3	)	)	PUNCT
easat-4020	109	4	and	and	CCONJ
easat-4020	109	5	klodt	klodt	NOUN
easat-4020	109	6	et	et	PROPN
easat-4020	109	7	al	al	PROPN
easat-4020	109	8	.	.	PROPN
easat-4020	110	1	(	(	PUNCT
easat-4020	110	2	2021	2021	NUM
easat-4020	110	3	)	)	PUNCT
easat-4020	110	4	who	who	PRON
easat-4020	110	5	offered	offer	VERB
easat-4020	110	6	approaches	approach	NOUN
easat-4020	110	7	for	for	ADP
easat-4020	110	8	efficient	efficient	ADJ
easat-4020	110	9	clustering	clustering	NOUN
easat-4020	110	10	with	with	ADP
easat-4020	110	11	colorings	coloring	NOUN
easat-4020	110	12	named	name	VERB
easat-4020	110	13	chromatic	chromatic	ADJ
easat-4020	110	14	correlation	correlation	NOUN
easat-4020	110	15	clustering	cluster	VERB
easat-4020	110	16	.	.	PUNCT
easat-4020	111	1	2.3	2.3	NUM
easat-4020	111	2	.	.	PUNCT
easat-4020	112	1	spectral	spectral	ADJ
easat-4020	112	2	clustering	cluster	VERB
easat-4020	112	3	instead	instead	ADV
easat-4020	112	4	,	,	PUNCT
easat-4020	112	5	the	the	DET
easat-4020	112	6	changes	change	NOUN
easat-4020	112	7	are	be	AUX
easat-4020	112	8	made	make	VERB
easat-4020	112	9	to	to	PART
easat-4020	112	10	enhance	enhance	VERB
easat-4020	112	11	partitioning	partitioning	NOUN
easat-4020	112	12	,	,	PUNCT
easat-4020	112	13	and	and	CCONJ
easat-4020	112	14	more	more	ADV
easat-4020	112	15	specifically	specifically	ADV
easat-4020	112	16	,	,	PUNCT
easat-4020	112	17	the	the	DET
easat-4020	112	18	spectral	spectral	ADJ
easat-4020	112	19	clustering	clustering	ADJ
easat-4020	112	20	methods	method	NOUN
easat-4020	112	21	are	be	AUX
easat-4020	112	22	introduced	introduce	VERB
easat-4020	112	23	in	in	ADP
easat-4020	112	24	order	order	NOUN
easat-4020	112	25	to	to	PART
easat-4020	112	26	refine	refine	VERB
easat-4020	112	27	the	the	DET
easat-4020	112	28	process	process	NOUN
easat-4020	112	29	in	in	ADP
easat-4020	112	30	hypergraphs	hypergraph	NOUN
easat-4020	112	31	.	.	PUNCT
easat-4020	113	1	spectral	spectral	ADJ
easat-4020	113	2	features	feature	NOUN
easat-4020	113	3	of	of	ADP
easat-4020	113	4	hypergraph	hypergraph	NOUN
easat-4020	113	5	laplacians	laplacian	NOUN
easat-4020	113	6	,	,	PUNCT
easat-4020	113	7	which	which	PRON
easat-4020	113	8	have	have	AUX
easat-4020	113	9	been	be	AUX
easat-4020	113	10	further	far	ADV
easat-4020	113	11	described	describe	VERB
easat-4020	113	12	by	by	ADP
easat-4020	113	13	chan	chan	PROPN
easat-4020	113	14	et	et	PROPN
easat-4020	113	15	al	al	PROPN
easat-4020	113	16	.	.	PROPN
easat-4020	114	1	(	(	PUNCT
easat-4020	114	2	2018	2018	NUM
easat-4020	114	3	)	)	PUNCT
easat-4020	114	4	and	and	CCONJ
easat-4020	114	5	li	li	PROPN
easat-4020	114	6	&	&	CCONJ
easat-4020	114	7	milenkovic	milenkovic	PROPN
easat-4020	114	8	(	(	PUNCT
easat-4020	114	9	2017	2017	NUM
easat-4020	114	10	)	)	PUNCT
easat-4020	114	11	,	,	PUNCT
easat-4020	114	12	form	form	VERB
easat-4020	114	13	a	a	DET
easat-4020	114	14	stable	stable	ADJ
easat-4020	114	15	basis	basis	NOUN
easat-4020	114	16	for	for	ADP
easat-4020	114	17	the	the	DET
easat-4020	114	18	partitioning	partitioning	NOUN
easat-4020	114	19	of	of	ADP
easat-4020	114	20	the	the	DET
easat-4020	114	21	large	large	ADJ
easat-4020	114	22	-	-	PUNCT
easat-4020	114	23	scale	scale	NOUN
easat-4020	114	24	hypergraphs	hypergraph	NOUN
easat-4020	114	25	.	.	PUNCT
easat-4020	115	1	this	this	DET
easat-4020	115	2	method	method	NOUN
easat-4020	115	3	computes	compute	VERB
easat-4020	115	4	the	the	DET
easat-4020	115	5	hypergraph	hypergraph	NOUN
easat-4020	115	6	laplacian	laplacian	NOUN
easat-4020	115	7	and	and	CCONJ
easat-4020	115	8	use	use	VERB
easat-4020	115	9	the	the	DET
easat-4020	115	10	eigenvectors	eigenvector	NOUN
easat-4020	115	11	partitioning	partition	VERB
easat-4020	115	12	as	as	ADP
easat-4020	115	13	cuts	cut	NOUN
easat-4020	115	14	that	that	PRON
easat-4020	115	15	minimize	minimize	VERB
easat-4020	115	16	the	the	DET
easat-4020	115	17	conductance	conductance	NOUN
easat-4020	115	18	between	between	ADP
easat-4020	115	19	clusters	cluster	NOUN
easat-4020	115	20	.	.	PUNCT
easat-4020	116	1	this	this	PRON
easat-4020	116	2	is	be	AUX
easat-4020	116	3	especially	especially	ADV
easat-4020	116	4	useful	useful	ADJ
easat-4020	116	5	for	for	ADP
easat-4020	116	6	capturing	capture	VERB
easat-4020	116	7	the	the	DET
easat-4020	116	8	inhomogeneous	inhomogeneous	ADJ
easat-4020	116	9	hypergraphs	hypergraph	NOUN
easat-4020	116	10	since	since	SCONJ
easat-4020	116	11	the	the	DET
easat-4020	116	12	densities	density	NOUN
easat-4020	116	13	of	of	ADP
easat-4020	116	14	the	the	DET
easat-4020	116	15	edges	edge	NOUN
easat-4020	116	16	differ	differ	VERB
easat-4020	116	17	from	from	ADP
easat-4020	116	18	one	one	NUM
easat-4020	116	19	partition	partition	NOUN
easat-4020	116	20	to	to	ADP
easat-4020	116	21	the	the	DET
easat-4020	116	22	other	other	ADJ
easat-4020	116	23	.	.	PUNCT
easat-4020	117	1	2.4	2.4	NUM
easat-4020	117	2	.	.	PUNCT
easat-4020	117	3	submodular	submodular	ADJ
easat-4020	117	4	optimization	optimization	NOUN
easat-4020	117	5	since	since	SCONJ
easat-4020	117	6	obtaining	obtain	VERB
easat-4020	117	7	the	the	DET
easat-4020	117	8	clustering	clustering	NOUN
easat-4020	117	9	of	of	ADP
easat-4020	117	10	data	datum	NOUN
easat-4020	117	11	in	in	ADP
easat-4020	117	12	hypergraphs	hypergraphs	NOUN
easat-4020	117	13	is	be	AUX
easat-4020	117	14	computationally	computationally	ADV
easat-4020	117	15	intensive	intensive	ADJ
easat-4020	117	16	,	,	PUNCT
easat-4020	117	17	submodular	submodular	ADJ
easat-4020	117	18	optimization	optimization	NOUN
easat-4020	117	19	approaches	approach	NOUN
easat-4020	117	20	are	be	AUX
easat-4020	117	21	incorporated	incorporate	VERB
easat-4020	117	22	.	.	PUNCT
easat-4020	118	1	the	the	DET
easat-4020	118	2	method	method	NOUN
easat-4020	118	3	use	use	VERB
easat-4020	118	4	submodular	submodular	ADJ
easat-4020	118	5	cost	cost	NOUN
easat-4020	118	6	allocation	allocation	NOUN
easat-4020	118	7	algorithms	algorithm	NOUN
easat-4020	118	8	adopted	adopt	VERB
easat-4020	118	9	by	by	ADP
easat-4020	118	10	chekuri	chekuri	PROPN
easat-4020	118	11	and	and	CCONJ
easat-4020	118	12	ene	ene	PROPN
easat-4020	118	13	(	(	PUNCT
easat-4020	118	14	2011	2011	NUM
easat-4020	118	15	)	)	PUNCT
easat-4020	118	16	which	which	PRON
easat-4020	118	17	provide	provide	VERB
easat-4020	118	18	accuracy	accuracy	NOUN
easat-4020	118	19	in	in	ADP
easat-4020	118	20	solving	solve	VERB
easat-4020	118	21	multiparty	multiparty	ADJ
easat-4020	118	22	partitioning	partitioning	NOUN
easat-4020	118	23	tasks	task	NOUN
easat-4020	118	24	.	.	PUNCT
easat-4020	119	1	these	these	DET
easat-4020	119	2	algorithms	algorithm	NOUN
easat-4020	119	3	are	be	AUX
easat-4020	119	4	particularly	particularly	ADV
easat-4020	119	5	useful	useful	ADJ
easat-4020	119	6	when	when	SCONJ
easat-4020	119	7	cuts	cut	NOUN
easat-4020	119	8	have	have	VERB
easat-4020	119	9	to	to	PART
easat-4020	119	10	be	be	AUX
easat-4020	119	11	minimized	minimize	VERB
easat-4020	119	12	across	across	ADP
easat-4020	119	13	a	a	DET
easat-4020	119	14	number	number	NOUN
easat-4020	119	15	of	of	ADP
easat-4020	119	16	partitions	partition	NOUN
easat-4020	119	17	,	,	PUNCT
easat-4020	119	18	and	and	CCONJ
easat-4020	119	19	in	in	ADP
easat-4020	119	20	hypergraph	hypergraph	NOUN
easat-4020	119	21	clustering	cluster	VERB
easat-4020	119	22	for	for	ADP
easat-4020	119	23	example	example	NOUN
easat-4020	119	24	.	.	PUNCT
easat-4020	120	1	the	the	DET
easat-4020	120	2	method	method	NOUN
easat-4020	120	3	uses	use	VERB
easat-4020	120	4	distribution	distribution	NOUN
easat-4020	120	5	methods	method	NOUN
easat-4020	120	6	that	that	PRON
easat-4020	120	7	are	be	AUX
easat-4020	120	8	local	local	ADJ
easat-4020	120	9	based	base	VERB
easat-4020	120	10	on	on	ADP
easat-4020	120	11	9442	9442	NUM
easat-4020	120	12	edelweiss	edelweiss	PROPN
easat-4020	120	13	applied	apply	VERB
easat-4020	120	14	science	science	NOUN
easat-4020	120	15	and	and	CCONJ
easat-4020	120	16	technology	technology	NOUN
easat-4020	120	17	issn	issn	PROPN
easat-4020	120	18	:	:	PUNCT
easat-4020	120	19	2576	2576	NUM
easat-4020	120	20	-	-	SYM
easat-4020	120	21	8484	8484	NUM
easat-4020	120	22	vol	vol	NOUN
easat-4020	120	23	.	.	PROPN
easat-4020	120	24	8	8	NUM
easat-4020	120	25	,	,	PUNCT
easat-4020	120	26	no	no	INTJ
easat-4020	120	27	.	.	NOUN
easat-4020	120	28	6	6	NUM
easat-4020	120	29	:	:	SYM
easat-4020	120	30	9438	9438	NUM
easat-4020	120	31	-	-	SYM
easat-4020	120	32	9449	9449	NUM
easat-4020	120	33	,	,	PUNCT
easat-4020	120	34	2024	2024	NUM
easat-4020	120	35	doi	doi	NOUN
easat-4020	120	36	:	:	PUNCT
easat-4020	120	37	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	120	38	©	©	ADP
easat-4020	120	39	2024	2024	NUM
easat-4020	120	40	by	by	ADP
easat-4020	120	41	the	the	DET
easat-4020	120	42	author	author	NOUN
easat-4020	120	43	;	;	PUNCT
easat-4020	120	44	licensee	licensee	PROPN
easat-4020	120	45	learning	learning	NOUN
easat-4020	120	46	gate	gate	VERB
easat-4020	120	47	those	those	PRON
easat-4020	120	48	developed	develop	VERB
easat-4020	120	49	by	by	ADP
easat-4020	120	50	ene	ene	PROPN
easat-4020	120	51	,	,	PUNCT
easat-4020	120	52	vondrak	vondrak	NOUN
easat-4020	120	53	and	and	CCONJ
easat-4020	120	54	wu	wu	PROPN
easat-4020	120	55	in	in	ADP
easat-4020	120	56	2013	2013	NUM
easat-4020	120	57	to	to	PART
easat-4020	120	58	maintain	maintain	VERB
easat-4020	120	59	equilibrium	equilibrium	NOUN
easat-4020	120	60	in	in	ADP
easat-4020	120	61	the	the	DET
easat-4020	120	62	partitioning	partitioning	ADJ
easat-4020	120	63	process	process	NOUN
easat-4020	120	64	among	among	ADP
easat-4020	120	65	the	the	DET
easat-4020	120	66	hypergraph	hypergraph	NOUN
easat-4020	120	67	nodes	node	NOUN
easat-4020	120	68	and	and	CCONJ
easat-4020	120	69	edges	edge	NOUN
easat-4020	120	70	.	.	PUNCT
easat-4020	121	1	2.5	2.5	NUM
easat-4020	121	2	.	.	PUNCT
easat-4020	122	1	hypergraph	hypergraph	VERB
easat-4020	122	2	partitioning	partitioning	NOUN
easat-4020	122	3	and	and	CCONJ
easat-4020	122	4	min	min	NOUN
easat-4020	122	5	-	-	ADJ
easat-4020	122	6	cut	cut	ADJ
easat-4020	122	7	algorithms	algorithm	NOUN
easat-4020	122	8	for	for	ADP
easat-4020	122	9	hypergraph	hypergraph	NOUN
easat-4020	122	10	partitioning	partitioning	NOUN
easat-4020	122	11	,	,	PUNCT
easat-4020	122	12	the	the	DET
easat-4020	122	13	method	method	NOUN
easat-4020	122	14	uses	use	VERB
easat-4020	122	15	deterministic	deterministic	ADJ
easat-4020	122	16	computation	computation	NOUN
easat-4020	122	17	of	of	ADP
easat-4020	122	18	minimum	minimum	ADJ
easat-4020	122	19	cut	cut	NOUN
easat-4020	122	20	-	-	PUNCT
easat-4020	122	21	sets	set	NOUN
easat-4020	122	22	and	and	CCONJ
easat-4020	122	23	k	k	NOUN
easat-4020	122	24	-	-	PUNCT
easat-4020	122	25	cut	cut	VERB
easat-4020	122	26	-	-	PUNCT
easat-4020	122	27	sets	set	NOUN
easat-4020	122	28	presented	present	VERB
easat-4020	122	29	by	by	ADP
easat-4020	122	30	beideman	beideman	PROPN
easat-4020	122	31	et	et	PROPN
easat-4020	122	32	al	al	PROPN
easat-4020	122	33	.	.	PROPN
easat-4020	122	34	,	,	PUNCT
easat-4020	122	35	(	(	PUNCT
easat-4020	122	36	2022	2022	NUM
easat-4020	122	37	)	)	PUNCT
easat-4020	122	38	.	.	PUNCT
easat-4020	123	1	these	these	DET
easat-4020	123	2	algorithms	algorithm	NOUN
easat-4020	123	3	enable	enable	VERB
easat-4020	123	4	the	the	DET
easat-4020	123	5	barcoding	barcode	VERB
easat-4020	123	6	method	method	NOUN
easat-4020	123	7	to	to	PART
easat-4020	123	8	effectively	effectively	ADV
easat-4020	123	9	partition	partition	VERB
easat-4020	123	10	large	large	ADJ
easat-4020	123	11	hypergraphs	hypergraph	NOUN
easat-4020	123	12	with	with	ADP
easat-4020	123	13	deterministically	deterministically	ADV
easat-4020	123	14	provable	provable	ADJ
easat-4020	123	15	time	time	NOUN
easat-4020	123	16	complexity	complexity	NOUN
easat-4020	123	17	.	.	PUNCT
easat-4020	124	1	further	far	ADV
easat-4020	124	2	,	,	PUNCT
easat-4020	124	3	the	the	DET
easat-4020	124	4	method	method	NOUN
easat-4020	124	5	also	also	ADV
easat-4020	124	6	involves	involve	VERB
easat-4020	124	7	hypergraph	hypergraph	VERB
easat-4020	124	8	k	k	NOUN
easat-4020	124	9	-	-	ADJ
easat-4020	124	10	cut	cut	VERB
easat-4020	124	11	algorithms	algorithm	NOUN
easat-4020	124	12	as	as	SCONJ
easat-4020	124	13	specified	specify	VERB
easat-4020	124	14	by	by	ADP
easat-4020	124	15	chandrasekaran	chandrasekaran	ADJ
easat-4020	124	16	and	and	CCONJ
easat-4020	124	17	chekuri	chekuri	PROPN
easat-4020	124	18	(	(	PUNCT
easat-4020	124	19	2022	2022	NUM
easat-4020	124	20	)	)	PUNCT
easat-4020	124	21	and	and	CCONJ
easat-4020	124	22	which	which	PRON
easat-4020	124	23	enables	enable	VERB
easat-4020	124	24	polynomial	polynomial	ADJ
easat-4020	124	25	time	time	NOUN
easat-4020	124	26	solution	solution	NOUN
easat-4020	124	27	for	for	ADP
easat-4020	124	28	fixed	fix	VERB
easat-4020	124	29	k	k	NOUN
easat-4020	124	30	-	-	NOUN
easat-4020	124	31	partition	partition	NOUN
easat-4020	124	32	on	on	ADP
easat-4020	124	33	hypergraphs	hypergraph	NOUN
easat-4020	124	34	.	.	PUNCT
easat-4020	125	1	2.6	2.6	NUM
easat-4020	125	2	.	.	PUNCT
easat-4020	126	1	greedy	greedy	ADJ
easat-4020	126	2	and	and	CCONJ
easat-4020	126	3	local	local	ADJ
easat-4020	126	4	ratio	ratio	NOUN
easat-4020	126	5	algorithms	algorithm	NOUN
easat-4020	126	6	local	local	ADJ
easat-4020	126	7	ratio	ratio	NOUN
easat-4020	126	8	techniques	technique	NOUN
easat-4020	126	9	are	be	AUX
easat-4020	126	10	applied	apply	VERB
easat-4020	126	11	together	together	ADV
easat-4020	126	12	with	with	ADP
easat-4020	126	13	greedy	greedy	ADJ
easat-4020	126	14	algorithms	algorithm	NOUN
easat-4020	126	15	for	for	ADP
easat-4020	126	16	improving	improve	VERB
easat-4020	126	17	the	the	DET
easat-4020	126	18	clustering	clustering	ADJ
easat-4020	126	19	results	result	NOUN
easat-4020	126	20	.	.	PUNCT
easat-4020	127	1	building	build	VERB
easat-4020	127	2	upon	upon	SCONJ
easat-4020	127	3	the	the	DET
easat-4020	127	4	work	work	NOUN
easat-4020	127	5	done	do	VERB
easat-4020	127	6	by	by	ADP
easat-4020	127	7	harvey	harvey	PROPN
easat-4020	127	8	liaw	liaw	PROPN
easat-4020	127	9	liu	liu	PROPN
easat-4020	127	10	(	(	PUNCT
easat-4020	127	11	2018	2018	NUM
easat-4020	127	12	)	)	PUNCT
easat-4020	127	13	,	,	PUNCT
easat-4020	127	14	that	that	PRON
easat-4020	127	15	used	use	VERB
easat-4020	127	16	greedy	greedy	ADJ
easat-4020	127	17	algorithms	algorithm	NOUN
easat-4020	127	18	for	for	ADP
easat-4020	127	19	largescale	largescale	NOUN
easat-4020	127	20	distributed	distribute	VERB
easat-4020	127	21	analysis	analysis	NOUN
easat-4020	127	22	,	,	PUNCT
easat-4020	127	23	the	the	DET
easat-4020	127	24	method	method	NOUN
easat-4020	127	25	uses	use	VERB
easat-4020	127	26	the	the	DET
easat-4020	127	27	mapreduce	mapreduce	PROPN
easat-4020	127	28	approach	approach	NOUN
easat-4020	127	29	for	for	ADP
easat-4020	127	30	processing	process	VERB
easat-4020	127	31	large	large	ADJ
easat-4020	127	32	graphs	graph	NOUN
easat-4020	127	33	and	and	CCONJ
easat-4020	127	34	hypergraphs	hypergraph	NOUN
easat-4020	127	35	in	in	ADP
easat-4020	127	36	parallel	parallel	NOUN
easat-4020	127	37	.	.	PUNCT
easat-4020	128	1	this	this	PRON
easat-4020	128	2	assures	assure	VERB
easat-4020	128	3	increased	increase	VERB
easat-4020	128	4	overtness	overtness	NOUN
easat-4020	128	5	in	in	ADP
easat-4020	128	6	terms	term	NOUN
easat-4020	128	7	of	of	ADP
easat-4020	128	8	scalability	scalability	NOUN
easat-4020	128	9	when	when	SCONJ
easat-4020	128	10	manipulate	manipulate	VERB
easat-4020	128	11	through	through	ADP
easat-4020	128	12	large	large	ADJ
easat-4020	128	13	data	datum	NOUN
easat-4020	128	14	sets	set	NOUN
easat-4020	128	15	.	.	PUNCT
easat-4020	129	1	2.7	2.7	NUM
easat-4020	129	2	.	.	PUNCT
easat-4020	129	3	chromatic	chromatic	ADJ
easat-4020	129	4	clustering	clustering	NOUN
easat-4020	129	5	and	and	CCONJ
easat-4020	129	6	heuristics	heuristic	NOUN
easat-4020	129	7	it	it	PRON
easat-4020	129	8	also	also	ADV
easat-4020	129	9	adopts	adopt	VERB
easat-4020	129	10	heuristics	heuristic	NOUN
easat-4020	129	11	from	from	ADP
easat-4020	129	12	pictorial	pictorial	ADJ
easat-4020	129	13	clustering	clustering	NOUN
easat-4020	129	14	techniques	technique	NOUN
easat-4020	129	15	that	that	PRON
easat-4020	129	16	were	be	AUX
easat-4020	129	17	developed	develop	VERB
easat-4020	129	18	by	by	ADP
easat-4020	129	19	amburg	amburg	PROPN
easat-4020	129	20	,	,	PUNCT
easat-4020	129	21	veldt	veldt	PROPN
easat-4020	129	22	,	,	PUNCT
easat-4020	129	23	and	and	CCONJ
easat-4020	129	24	benson	benson	PROPN
easat-4020	129	25	(	(	PUNCT
easat-4020	129	26	2021	2021	NUM
easat-4020	129	27	,	,	PUNCT
easat-4020	129	28	2023	2023	NUM
easat-4020	129	29	)	)	PUNCT
easat-4020	129	30	.	.	PUNCT
easat-4020	130	1	these	these	DET
easat-4020	130	2	heuristics	heuristic	NOUN
easat-4020	130	3	are	be	AUX
easat-4020	130	4	used	use	VERB
easat-4020	130	5	when	when	SCONJ
easat-4020	130	6	categorical	categorical	ADJ
easat-4020	130	7	edge	edge	NOUN
easat-4020	130	8	labels	label	NOUN
easat-4020	130	9	are	be	AUX
easat-4020	130	10	available	available	ADJ
easat-4020	130	11	to	to	PART
easat-4020	130	12	enhance	enhance	VERB
easat-4020	130	13	the	the	DET
easat-4020	130	14	cluster	cluster	NOUN
easat-4020	130	15	quality	quality	NOUN
easat-4020	130	16	in	in	ADP
easat-4020	130	17	situations	situation	NOUN
easat-4020	130	18	to	to	PART
easat-4020	130	19	obtain	obtain	VERB
easat-4020	130	20	more	more	ADV
easat-4020	130	21	diverse	diverse	ADJ
easat-4020	130	22	and	and	CCONJ
easat-4020	130	23	accurate	accurate	ADJ
easat-4020	130	24	groups	group	NOUN
easat-4020	130	25	.	.	PUNCT
easat-4020	131	1	flavors	flavor	NOUN
easat-4020	131	2	of	of	ADP
easat-4020	131	3	edges	edge	NOUN
easat-4020	131	4	and	and	CCONJ
easat-4020	131	5	nodes	node	NOUN
easat-4020	131	6	highlighted	highlight	VERB
easat-4020	131	7	by	by	ADP
easat-4020	131	8	anava	anava	NOUN
easat-4020	131	9	and	and	CCONJ
easat-4020	131	10	gonen	gonen	PROPN
easat-4020	131	11	(	(	PUNCT
easat-4020	131	12	2015	2015	NUM
easat-4020	131	13	)	)	PUNCT
easat-4020	131	14	and	and	CCONJ
easat-4020	131	15	klodt	klodt	NOUN
easat-4020	131	16	et	et	PROPN
easat-4020	131	17	al	al	PROPN
easat-4020	131	18	.	.	PROPN
easat-4020	131	19	(	(	PUNCT
easat-4020	131	20	2021	2021	NUM
easat-4020	131	21	)	)	PUNCT
easat-4020	131	22	broaden	broaden	VERB
easat-4020	131	23	the	the	DET
easat-4020	131	24	prospects	prospect	NOUN
easat-4020	131	25	of	of	ADP
easat-4020	131	26	the	the	DET
easat-4020	131	27	method	method	NOUN
easat-4020	131	28	by	by	ADP
easat-4020	131	29	building	build	VERB
easat-4020	131	30	color	color	NOUN
easat-4020	131	31	-	-	PUNCT
easat-4020	131	32	based	base	VERB
easat-4020	131	33	clustering	clustering	ADJ
easat-4020	131	34	techniques	technique	NOUN
easat-4020	131	35	into	into	ADP
easat-4020	131	36	the	the	DET
easat-4020	131	37	network	network	NOUN
easat-4020	131	38	process	process	NOUN
easat-4020	131	39	.	.	PUNCT
easat-4020	132	1	figure	figure	NOUN
easat-4020	132	2	3	3	NUM
easat-4020	132	3	below	below	ADV
easat-4020	132	4	is	be	AUX
easat-4020	132	5	a	a	DET
easat-4020	132	6	flowchart	flowchart	NOUN
easat-4020	132	7	of	of	ADP
easat-4020	132	8	the	the	DET
easat-4020	132	9	steps	step	NOUN
easat-4020	132	10	that	that	PRON
easat-4020	132	11	the	the	DET
easat-4020	132	12	clustering	clustering	ADJ
easat-4020	132	13	algorithm	algorithm	NOUN
easat-4020	132	14	proposed	propose	VERB
easat-4020	132	15	in	in	ADP
easat-4020	132	16	this	this	DET
easat-4020	132	17	paper	paper	NOUN
easat-4020	132	18	will	will	AUX
easat-4020	132	19	follow	follow	VERB
easat-4020	132	20	.	.	PUNCT
easat-4020	133	1	it	it	PRON
easat-4020	133	2	commences	commence	VERB
easat-4020	133	3	with	with	ADP
easat-4020	133	4	problem	problem	NOUN
easat-4020	133	5	formulation	formulation	NOUN
easat-4020	133	6	,	,	PUNCT
easat-4020	133	7	problem	problem	NOUN
easat-4020	133	8	solution	solution	NOUN
easat-4020	133	9	via	via	ADP
easat-4020	133	10	approximation	approximation	NOUN
easat-4020	133	11	algorithms	algorithm	NOUN
easat-4020	133	12	,	,	PUNCT
easat-4020	133	13	spectral	spectral	ADJ
easat-4020	133	14	clustering	clustering	NOUN
easat-4020	133	15	,	,	PUNCT
easat-4020	133	16	submodular	submodular	ADJ
easat-4020	133	17	optimization	optimization	NOUN
easat-4020	133	18	to	to	AUX
easat-4020	133	19	clustering	cluster	VERB
easat-4020	133	20	,	,	PUNCT
easat-4020	133	21	and	and	CCONJ
easat-4020	133	22	eventually	eventually	ADV
easat-4020	133	23	the	the	DET
easat-4020	133	24	performance	performance	NOUN
easat-4020	133	25	assessment	assessment	NOUN
easat-4020	133	26	stage	stage	NOUN
easat-4020	133	27	.	.	PUNCT
easat-4020	134	1	figure	figure	NOUN
easat-4020	134	2	1	1	NUM
easat-4020	134	3	.	.	PUNCT
easat-4020	135	1	flowchart	flowchart	NOUN
easat-4020	135	2	of	of	ADP
easat-4020	135	3	the	the	DET
easat-4020	135	4	proposed	propose	VERB
easat-4020	135	5	clustering	cluster	VERB
easat-4020	135	6	algorithm	algorithm	NOUN
easat-4020	135	7	.	.	PUNCT
easat-4020	136	1	2.8	2.8	NUM
easat-4020	136	2	.	.	PUNCT
easat-4020	136	3	performance	performance	NOUN
easat-4020	136	4	evaluation	evaluation	NOUN
easat-4020	136	5	9443	9443	NUM
easat-4020	136	6	edelweiss	edelweiss	PROPN
easat-4020	136	7	applied	apply	VERB
easat-4020	136	8	science	science	NOUN
easat-4020	136	9	and	and	CCONJ
easat-4020	136	10	technology	technology	NOUN
easat-4020	136	11	issn	issn	PROPN
easat-4020	136	12	:	:	PUNCT
easat-4020	136	13	2576	2576	NUM
easat-4020	136	14	-	-	SYM
easat-4020	136	15	8484	8484	NUM
easat-4020	136	16	vol	vol	NOUN
easat-4020	136	17	.	.	PROPN
easat-4020	136	18	8	8	NUM
easat-4020	136	19	,	,	PUNCT
easat-4020	136	20	no	no	INTJ
easat-4020	136	21	.	.	NOUN
easat-4020	137	1	6	6	NUM
easat-4020	137	2	:	:	SYM
easat-4020	137	3	9438	9438	NUM
easat-4020	137	4	-	-	SYM
easat-4020	137	5	9449	9449	NUM
easat-4020	137	6	,	,	PUNCT
easat-4020	137	7	2024	2024	NUM
easat-4020	137	8	doi	doi	NOUN
easat-4020	137	9	:	:	PUNCT
easat-4020	137	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	137	11	©	©	ADP
easat-4020	137	12	2024	2024	NUM
easat-4020	137	13	by	by	ADP
easat-4020	137	14	the	the	DET
easat-4020	137	15	author	author	NOUN
easat-4020	137	16	;	;	PUNCT
easat-4020	137	17	licensee	licensee	PROPN
easat-4020	137	18	learning	learning	NOUN
easat-4020	137	19	gate	gate	VERB
easat-4020	137	20	the	the	DET
easat-4020	137	21	experimental	experimental	ADJ
easat-4020	137	22	results	result	NOUN
easat-4020	137	23	of	of	ADP
easat-4020	137	24	the	the	DET
easat-4020	137	25	proposed	propose	VERB
easat-4020	137	26	method	method	NOUN
easat-4020	137	27	are	be	AUX
easat-4020	137	28	considered	consider	VERB
easat-4020	137	29	on	on	ADP
easat-4020	137	30	both	both	CCONJ
easat-4020	137	31	synthetic	synthetic	ADJ
easat-4020	137	32	and	and	CCONJ
easat-4020	137	33	real	real	ADJ
easat-4020	137	34	-	-	PUNCT
easat-4020	137	35	world	world	NOUN
easat-4020	137	36	scenarios	scenario	NOUN
easat-4020	137	37	.	.	PUNCT
easat-4020	138	1	the	the	DET
easat-4020	138	2	evaluation	evaluation	NOUN
easat-4020	138	3	refers	refer	VERB
easat-4020	138	4	to	to	ADP
easat-4020	138	5	a	a	DET
easat-4020	138	6	similar	similar	ADJ
easat-4020	138	7	framework	framework	NOUN
easat-4020	138	8	as	as	ADP
easat-4020	138	9	the	the	DET
easat-4020	138	10	one	one	NOUN
easat-4020	138	11	used	use	VERB
easat-4020	138	12	by	by	ADP
easat-4020	138	13	louis	louis	PROPN
easat-4020	138	14	,	,	PUNCT
easat-4020	138	15	2015	2015	NUM
easat-4020	138	16	:	:	PUNCT
easat-4020	138	17	percentage	percentage	NOUN
easat-4020	138	18	edge	edge	NOUN
easat-4020	138	19	cuts	cut	NOUN
easat-4020	138	20	,	,	PUNCT
easat-4020	138	21	cohesion	cohesion	NOUN
easat-4020	138	22	,	,	PUNCT
easat-4020	138	23	and	and	CCONJ
easat-4020	138	24	separation	separation	NOUN
easat-4020	138	25	.	.	PUNCT
easat-4020	139	1	the	the	DET
easat-4020	139	2	method	method	NOUN
easat-4020	139	3	also	also	ADV
easat-4020	139	4	applies	apply	VERB
easat-4020	139	5	a	a	DET
easat-4020	139	6	set	set	NOUN
easat-4020	139	7	of	of	ADP
easat-4020	139	8	inapproximability	inapproximability	NOUN
easat-4020	139	9	results	result	NOUN
easat-4020	139	10	derived	derive	VERB
easat-4020	139	11	from	from	ADP
easat-4020	139	12	austrin	austrin	NOUN
easat-4020	139	13	et	et	PROPN
easat-4020	139	14	al	al	PROPN
easat-4020	139	15	.	.	PROPN
easat-4020	139	16	,	,	PUNCT
easat-4020	139	17	khot	khot	ADJ
easat-4020	139	18	and	and	CCONJ
easat-4020	139	19	safra	safra	NOUN
easat-4020	139	20	(	(	PUNCT
easat-4020	139	21	2011	2011	NUM
easat-4020	139	22	)	)	PUNCT
easat-4020	139	23	and	and	CCONJ
easat-4020	139	24	khot	khot	ADJ
easat-4020	139	25	and	and	CCONJ
easat-4020	139	26	regev	regev	ADJ
easat-4020	139	27	(	(	PUNCT
easat-4020	139	28	2008	2008	NUM
easat-4020	139	29	)	)	PUNCT
easat-4020	139	30	to	to	PART
easat-4020	139	31	compare	compare	VERB
easat-4020	139	32	the	the	DET
easat-4020	139	33	obtained	obtain	VERB
easat-4020	139	34	solutions	solution	NOUN
easat-4020	139	35	to	to	ADP
easat-4020	139	36	the	the	DET
easat-4020	139	37	existing	exist	VERB
easat-4020	139	38	theory	theory	NOUN
easat-4020	139	39	solutions	solution	NOUN
easat-4020	139	40	.	.	PUNCT
easat-4020	140	1	2.9	2.9	NUM
easat-4020	140	2	.	.	PUNCT
easat-4020	141	1	complexity	complexity	NOUN
easat-4020	141	2	analysis	analysis	NOUN
easat-4020	141	3	last	last	ADJ
easat-4020	141	4	,	,	PUNCT
easat-4020	141	5	the	the	DET
easat-4020	141	6	computational	computational	ADJ
easat-4020	141	7	complexity	complexity	NOUN
easat-4020	141	8	of	of	ADP
easat-4020	141	9	the	the	DET
easat-4020	141	10	method	method	NOUN
easat-4020	141	11	is	be	AUX
easat-4020	141	12	discussed	discuss	VERB
easat-4020	141	13	according	accord	VERB
easat-4020	141	14	to	to	ADP
easat-4020	141	15	the	the	DET
easat-4020	141	16	approximation	approximation	NOUN
easat-4020	141	17	bounds	bound	NOUN
easat-4020	141	18	and	and	CCONJ
easat-4020	141	19	runtime	runtime	NOUN
easat-4020	141	20	assurances	assurance	NOUN
easat-4020	141	21	given	give	VERB
easat-4020	141	22	by	by	ADP
easat-4020	141	23	the	the	DET
easat-4020	141	24	algorithms	algorithm	NOUN
easat-4020	141	25	.	.	PUNCT
easat-4020	142	1	it	it	PRON
easat-4020	142	2	is	be	AUX
easat-4020	142	3	in	in	ADP
easat-4020	142	4	line	line	NOUN
easat-4020	142	5	with	with	ADP
easat-4020	142	6	the	the	DET
easat-4020	142	7	initial	initial	ADJ
easat-4020	142	8	work	work	NOUN
easat-4020	142	9	by	by	ADP
easat-4020	142	10	chekuri	chekuri	PROPN
easat-4020	142	11	and	and	CCONJ
easat-4020	142	12	madan	madan	PROPN
easat-4020	142	13	(	(	PUNCT
easat-4020	142	14	2016	2016	NUM
easat-4020	142	15	)	)	PUNCT
easat-4020	142	16	as	as	ADV
easat-4020	142	17	well	well	ADV
easat-4020	142	18	as	as	ADP
easat-4020	142	19	the	the	DET
easat-4020	142	20	recent	recent	ADJ
easat-4020	142	21	study	study	NOUN
easat-4020	142	22	by	by	ADP
easat-4020	142	23	chandrasekaran	chandrasekaran	ADJ
easat-4020	142	24	and	and	CCONJ
easat-4020	142	25	chekuri	chekuri	PROPN
easat-4020	142	26	(	(	PUNCT
easat-4020	142	27	2021	2021	NUM
easat-4020	142	28	)	)	PUNCT
easat-4020	142	29	the	the	DET
easat-4020	142	30	method	method	NOUN
easat-4020	142	31	lays	lay	VERB
easat-4020	142	32	out	out	ADP
easat-4020	142	33	the	the	DET
easat-4020	142	34	time	time	NOUN
easat-4020	142	35	complexity	complexity	NOUN
easat-4020	142	36	of	of	ADP
easat-4020	142	37	each	each	DET
easat-4020	142	38	phase	phase	NOUN
easat-4020	142	39	of	of	ADP
easat-4020	142	40	the	the	DET
easat-4020	142	41	clustering	clustering	NOUN
easat-4020	142	42	,	,	PUNCT
easat-4020	142	43	allowing	allow	VERB
easat-4020	142	44	to	to	PART
easat-4020	142	45	check	check	VERB
easat-4020	142	46	that	that	SCONJ
easat-4020	142	47	the	the	DET
easat-4020	142	48	result	result	NOUN
easat-4020	142	49	offers	offer	VERB
easat-4020	142	50	a	a	DET
easat-4020	142	51	practical	practical	ADJ
easat-4020	142	52	solution	solution	NOUN
easat-4020	142	53	for	for	ADP
easat-4020	142	54	big	big	ADJ
easat-4020	142	55	data	datum	NOUN
easat-4020	142	56	,	,	PUNCT
easat-4020	142	57	fast	fast	ADV
easat-4020	142	58	to	to	PART
easat-4020	142	59	compute	compute	VERB
easat-4020	142	60	at	at	ADP
easat-4020	142	61	any	any	DET
easat-4020	142	62	scale	scale	NOUN
easat-4020	142	63	.	.	PUNCT
easat-4020	143	1	altogether	altogether	ADV
easat-4020	143	2	the	the	DET
easat-4020	143	3	proposed	propose	VERB
easat-4020	143	4	technique	technique	NOUN
easat-4020	143	5	combines	combine	VERB
easat-4020	143	6	several	several	ADJ
easat-4020	143	7	existing	exist	VERB
easat-4020	143	8	…	…	PUNCT
easat-4020	143	9	approximation	approximation	NOUN
easat-4020	143	10	algorithms	algorithm	NOUN
easat-4020	143	11	,	,	PUNCT
easat-4020	143	12	spectral	spectral	ADJ
easat-4020	143	13	clustering	clustering	NOUN
easat-4020	143	14	,	,	PUNCT
easat-4020	143	15	submodular	submodular	ADJ
easat-4020	143	16	optimization	optimization	NOUN
easat-4020	143	17	,	,	PUNCT
easat-4020	143	18	and	and	CCONJ
easat-4020	143	19	hypergraph	hypergraph	NOUN
easat-4020	143	20	-	-	PUNCT
easat-4020	143	21	partitioning	partition	VERB
easat-4020	143	22	techniques	technique	NOUN
easat-4020	143	23	for	for	ADP
easat-4020	143	24	deducing	deduce	VERB
easat-4020	143	25	clusters	cluster	NOUN
easat-4020	143	26	from	from	ADP
easat-4020	143	27	complex	complex	ADJ
easat-4020	143	28	graph	graph	NOUN
easat-4020	143	29	and	and	CCONJ
easat-4020	143	30	hypergraph	hypergraph	VERB
easat-4020	143	31	structures	structure	NOUN
easat-4020	143	32	efficiently	efficiently	ADV
easat-4020	143	33	and	and	CCONJ
easat-4020	143	34	effectively	effectively	ADV
easat-4020	143	35	.	.	PUNCT
easat-4020	144	1	3	3	X
easat-4020	144	2	.	.	NOUN
easat-4020	144	3	results	result	NOUN
easat-4020	144	4	and	and	CCONJ
easat-4020	144	5	discussion	discussion	NOUN
easat-4020	144	6	in	in	ADP
easat-4020	144	7	this	this	DET
easat-4020	144	8	section	section	NOUN
easat-4020	144	9	,	,	PUNCT
easat-4020	144	10	the	the	DET
easat-4020	144	11	performance	performance	NOUN
easat-4020	144	12	of	of	ADP
easat-4020	144	13	the	the	DET
easat-4020	144	14	proposed	propose	VERB
easat-4020	144	15	method	method	NOUN
easat-4020	144	16	is	be	AUX
easat-4020	144	17	compared	compare	VERB
easat-4020	144	18	with	with	ADP
easat-4020	144	19	other	other	ADJ
easat-4020	144	20	methods	method	NOUN
easat-4020	144	21	for	for	ADP
easat-4020	144	22	synthetic	synthetic	ADJ
easat-4020	144	23	datasets	dataset	NOUN
easat-4020	144	24	and	and	CCONJ
easat-4020	144	25	for	for	ADP
easat-4020	144	26	real	real	ADJ
easat-4020	144	27	datasets	dataset	NOUN
easat-4020	144	28	.	.	PUNCT
easat-4020	145	1	the	the	DET
easat-4020	145	2	performance	performance	NOUN
easat-4020	145	3	is	be	AUX
easat-4020	145	4	evaluated	evaluate	VERB
easat-4020	145	5	in	in	ADP
easat-4020	145	6	the	the	DET
easat-4020	145	7	context	context	NOUN
easat-4020	145	8	of	of	ADP
easat-4020	145	9	several	several	ADJ
easat-4020	145	10	baselines	baseline	NOUN
easat-4020	145	11	with	with	ADP
easat-4020	145	12	respect	respect	NOUN
easat-4020	145	13	to	to	ADP
easat-4020	145	14	clustering	clustering	ADJ
easat-4020	145	15	accuracy	accuracy	NOUN
easat-4020	145	16	,	,	PUNCT
easat-4020	145	17	time	time	NOUN
easat-4020	145	18	,	,	PUNCT
easat-4020	145	19	and	and	CCONJ
easat-4020	145	20	space	space	NOUN
easat-4020	145	21	.	.	PUNCT
easat-4020	146	1	the	the	DET
easat-4020	146	2	discussion	discussion	NOUN
easat-4020	146	3	also	also	ADV
easat-4020	146	4	offers	offer	VERB
easat-4020	146	5	the	the	DET
easat-4020	146	6	results	result	NOUN
easat-4020	146	7	interpretation	interpretation	NOUN
easat-4020	146	8	and	and	CCONJ
easat-4020	146	9	effects	effect	NOUN
easat-4020	146	10	’	'	PUNCT
easat-4020	146	11	discussion	discussion	NOUN
easat-4020	146	12	and	and	CCONJ
easat-4020	146	13	underscores	underscore	VERB
easat-4020	146	14	the	the	DET
easat-4020	146	15	strong	strong	ADJ
easat-4020	146	16	points	point	NOUN
easat-4020	146	17	of	of	ADP
easat-4020	146	18	the	the	DET
easat-4020	146	19	proposed	propose	VERB
easat-4020	146	20	approach	approach	NOUN
easat-4020	146	21	along	along	ADP
easat-4020	146	22	with	with	ADP
easat-4020	146	23	its	its	PRON
easat-4020	146	24	flaws	flaw	NOUN
easat-4020	146	25	.	.	PUNCT
easat-4020	147	1	3.1	3.1	NUM
easat-4020	147	2	.	.	PUNCT
easat-4020	147	3	dataset	dataset	ADJ
easat-4020	147	4	description	description	NOUN
easat-4020	147	5	two	two	NUM
easat-4020	147	6	datasets	dataset	NOUN
easat-4020	147	7	were	be	AUX
easat-4020	147	8	used	use	VERB
easat-4020	147	9	for	for	ADP
easat-4020	147	10	evaluation	evaluation	NOUN
easat-4020	147	11	:	:	PUNCT
easat-4020	147	12	•	•	NUM
easat-4020	147	13	synthetic	synthetic	ADJ
easat-4020	147	14	dataset	dataset	NOUN
easat-4020	147	15	:	:	PUNCT
easat-4020	147	16	five	five	NUM
easat-4020	147	17	randomly	randomly	ADV
easat-4020	147	18	generated	generate	VERB
easat-4020	147	19	k	k	ADJ
easat-4020	147	20	-	-	PUNCT
easat-4020	147	21	edge	edge	NOUN
easat-4020	147	22	-	-	PUNCT
easat-4020	147	23	colored	colored	ADJ
easat-4020	147	24	instances	instance	NOUN
easat-4020	147	25	of	of	ADP
easat-4020	147	26	graphs	graph	NOUN
easat-4020	147	27	and	and	CCONJ
easat-4020	147	28	hypergraphs	hypergraph	NOUN
easat-4020	147	29	with	with	ADP
easat-4020	147	30	different	different	ADJ
easat-4020	147	31	edge	edge	NOUN
easat-4020	147	32	densities	density	NOUN
easat-4020	147	33	,	,	PUNCT
easat-4020	147	34	node	node	NOUN
easat-4020	147	35	distributions	distribution	NOUN
easat-4020	147	36	,	,	PUNCT
easat-4020	147	37	and	and	CCONJ
easat-4020	147	38	clusters	cluster	NOUN
easat-4020	147	39	.	.	PUNCT
easat-4020	148	1	these	these	DET
easat-4020	148	2	graphs	graph	NOUN
easat-4020	148	3	are	be	AUX
easat-4020	148	4	intended	intend	VERB
easat-4020	148	5	to	to	PART
easat-4020	148	6	assess	assess	VERB
easat-4020	148	7	the	the	DET
easat-4020	148	8	performance	performance	NOUN
easat-4020	148	9	of	of	ADP
easat-4020	148	10	the	the	DET
easat-4020	148	11	given	give	VERB
easat-4020	148	12	algorithm	algorithm	NOUN
easat-4020	148	13	for	for	ADP
easat-4020	148	14	a	a	DET
easat-4020	148	15	wide	wide	ADJ
easat-4020	148	16	range	range	NOUN
easat-4020	148	17	of	of	ADP
easat-4020	148	18	graph	graph	NOUN
easat-4020	148	19	sizes	size	NOUN
easat-4020	148	20	spanning	span	VERB
easat-4020	148	21	from	from	ADP
easat-4020	148	22	100	100	NUM
easat-4020	148	23	to	to	PART
easat-4020	148	24	100000	100000	NUM
easat-4020	148	25	nodes	node	NOUN
easat-4020	148	26	and	and	CCONJ
easat-4020	148	27	for	for	ADP
easat-4020	148	28	several	several	ADJ
easat-4020	148	29	numbers	number	NOUN
easat-4020	148	30	of	of	ADP
easat-4020	148	31	edge	edge	NOUN
easat-4020	148	32	colours	colour	NOUN
easat-4020	148	33	ranging	range	VERB
easat-4020	148	34	from	from	ADP
easat-4020	148	35	2	2	NUM
easat-4020	148	36	to	to	PART
easat-4020	148	37	20	20	NUM
easat-4020	148	38	.	.	PUNCT
easat-4020	149	1	•	•	NUM
easat-4020	149	2	real	real	ADJ
easat-4020	149	3	-	-	PUNCT
easat-4020	149	4	world	world	NOUN
easat-4020	149	5	dataset	dataset	NOUN
easat-4020	149	6	:	:	PUNCT
easat-4020	149	7	the	the	DET
easat-4020	149	8	dblp	dblp	NOUN
easat-4020	149	9	citation	citation	NOUN
easat-4020	149	10	network	network	NOUN
easat-4020	149	11	,	,	PUNCT
easat-4020	149	12	which	which	PRON
easat-4020	149	13	is	be	AUX
easat-4020	149	14	a	a	DET
easat-4020	149	15	hypergraph	hypergraph	NOUN
easat-4020	149	16	and	and	CCONJ
easat-4020	149	17	the	the	DET
easat-4020	149	18	youtube	youtube	ADJ
easat-4020	149	19	social	social	ADJ
easat-4020	149	20	network	network	NOUN
easat-4020	149	21	which	which	PRON
easat-4020	149	22	is	be	AUX
easat-4020	149	23	a	a	DET
easat-4020	149	24	directed	direct	VERB
easat-4020	149	25	graph	graph	NOUN
easat-4020	149	26	with	with	ADP
easat-4020	149	27	multiple	multiple	ADJ
easat-4020	149	28	edge	edge	NOUN
easat-4020	149	29	attributes	attribute	NOUN
easat-4020	149	30	including	include	VERB
easat-4020	149	31	friends	friend	NOUN
easat-4020	149	32	,	,	PUNCT
easat-4020	149	33	likes	like	NOUN
easat-4020	149	34	and	and	CCONJ
easat-4020	149	35	comments	comment	NOUN
easat-4020	149	36	.	.	PUNCT
easat-4020	150	1	these	these	DET
easat-4020	150	2	datasets	dataset	NOUN
easat-4020	150	3	are	be	AUX
easat-4020	150	4	often	often	ADV
easat-4020	150	5	employed	employ	VERB
easat-4020	150	6	in	in	ADP
easat-4020	150	7	clustering	clustering	ADJ
easat-4020	150	8	benchmarks	benchmark	NOUN
easat-4020	150	9	and	and	CCONJ
easat-4020	150	10	include	include	VERB
easat-4020	150	11	real	real	ADJ
easat-4020	150	12	-	-	PUNCT
easat-4020	150	13	life	life	NOUN
easat-4020	150	14	issues	issue	NOUN
easat-4020	150	15	such	such	ADJ
easat-4020	150	16	as	as	ADP
easat-4020	150	17	imbalance	imbalance	NOUN
easat-4020	150	18	clustering	clustering	NOUN
easat-4020	150	19	,	,	PUNCT
easat-4020	150	20	noisy	noisy	ADJ
easat-4020	150	21	samples	sample	NOUN
easat-4020	150	22	and	and	CCONJ
easat-4020	150	23	overlapping	overlap	VERB
easat-4020	150	24	groups	group	NOUN
easat-4020	150	25	.	.	PUNCT
easat-4020	151	1	3.2	3.2	NUM
easat-4020	151	2	.	.	PUNCT
easat-4020	151	3	evaluation	evaluation	NOUN
easat-4020	151	4	metrics	metric	NOUN
easat-4020	151	5	the	the	DET
easat-4020	151	6	following	follow	VERB
easat-4020	151	7	metrics	metric	NOUN
easat-4020	151	8	were	be	AUX
easat-4020	151	9	used	use	VERB
easat-4020	151	10	to	to	PART
easat-4020	151	11	evaluate	evaluate	VERB
easat-4020	151	12	the	the	DET
easat-4020	151	13	performance	performance	NOUN
easat-4020	151	14	of	of	ADP
easat-4020	151	15	the	the	DET
easat-4020	151	16	clustering	cluster	VERB
easat-4020	151	17	methods	method	NOUN
easat-4020	151	18	:	:	PUNCT
easat-4020	151	19	•	•	NUM
easat-4020	151	20	clustering	clustering	NOUN
easat-4020	151	21	accuracy	accuracy	NOUN
easat-4020	151	22	(	(	PUNCT
easat-4020	151	23	ca	ca	NOUN
easat-4020	151	24	):	):	PUNCT
easat-4020	151	25	measures	measure	NOUN
easat-4020	151	26	the	the	DET
easat-4020	151	27	compatibility	compatibility	NOUN
easat-4020	151	28	of	of	ADP
easat-4020	151	29	heard	hear	VERB
easat-4020	151	30	clusters	cluster	NOUN
easat-4020	151	31	to	to	ADP
easat-4020	151	32	the	the	DET
easat-4020	151	33	ground	ground	NOUN
easat-4020	151	34	truth	truth	NOUN
easat-4020	151	35	clusters	cluster	NOUN
easat-4020	151	36	.	.	PUNCT
easat-4020	152	1	•	•	NUM
easat-4020	152	2	normalized	normalize	VERB
easat-4020	152	3	mutual	mutual	ADJ
easat-4020	152	4	information	information	NOUN
easat-4020	152	5	(	(	PUNCT
easat-4020	152	6	nmi	nmi	PROPN
easat-4020	152	7	):	):	PUNCT
easat-4020	152	8	a	a	DET
easat-4020	152	9	metric	metric	NOUN
easat-4020	152	10	of	of	ADP
easat-4020	152	11	how	how	SCONJ
easat-4020	152	12	much	much	ADJ
easat-4020	152	13	the	the	DET
easat-4020	152	14	identified	identify	VERB
easat-4020	152	15	clusters	cluster	NOUN
easat-4020	152	16	are	be	AUX
easat-4020	152	17	similar	similar	ADJ
easat-4020	152	18	to	to	ADP
easat-4020	152	19	the	the	DET
easat-4020	152	20	actual	actual	ADJ
easat-4020	152	21	clusters	cluster	NOUN
easat-4020	152	22	.	.	PUNCT
easat-4020	153	1	•	•	NUM
easat-4020	153	2	conductance	conductance	NOUN
easat-4020	153	3	:	:	PUNCT
easat-4020	153	4	this	this	PRON
easat-4020	153	5	measures	measure	VERB
easat-4020	153	6	the	the	DET
easat-4020	153	7	extent	extent	NOUN
easat-4020	153	8	that	that	SCONJ
easat-4020	153	9	the	the	DET
easat-4020	153	10	clusters	cluster	NOUN
easat-4020	153	11	formed	form	VERB
easat-4020	153	12	are	be	AUX
easat-4020	153	13	divided	divide	VERB
easat-4020	153	14	by	by	ADP
easat-4020	153	15	edge	edge	NOUN
easat-4020	153	16	cuts	cut	NOUN
easat-4020	153	17	across	across	ADP
easat-4020	153	18	the	the	DET
easat-4020	153	19	clusters	cluster	NOUN
easat-4020	153	20	.	.	PUNCT
easat-4020	154	1	•	•	NUM
easat-4020	154	2	runtime	runtime	NOUN
easat-4020	154	3	:	:	PUNCT
easat-4020	154	4	the	the	DET
easat-4020	154	5	total	total	ADJ
easat-4020	154	6	time	time	NOUN
easat-4020	154	7	elapsed	elapse	VERB
easat-4020	154	8	while	while	SCONJ
easat-4020	154	9	using	use	VERB
easat-4020	154	10	the	the	DET
easat-4020	154	11	algorithm	algorithm	NOUN
easat-4020	154	12	to	to	PART
easat-4020	154	13	analyze	analyze	VERB
easat-4020	154	14	the	the	DET
easat-4020	154	15	graph	graph	NOUN
easat-4020	154	16	or	or	CCONJ
easat-4020	154	17	a	a	DET
easat-4020	154	18	hypergraph	hypergraph	NOUN
easat-4020	154	19	.	.	PUNCT
easat-4020	155	1	•	•	NOUN
easat-4020	155	2	scalability	scalability	NOUN
easat-4020	155	3	:	:	PUNCT
easat-4020	155	4	that	that	PRON
easat-4020	155	5	is	is	ADV
easat-4020	155	6	,	,	PUNCT
easat-4020	155	7	the	the	DET
easat-4020	155	8	possibility	possibility	NOUN
easat-4020	155	9	of	of	ADP
easat-4020	155	10	increasing	increase	VERB
easat-4020	155	11	the	the	DET
easat-4020	155	12	number	number	NOUN
easat-4020	155	13	of	of	ADP
easat-4020	155	14	nodes	node	NOUN
easat-4020	155	15	and	and	CCONJ
easat-4020	155	16	edges	edge	NOUN
easat-4020	155	17	while	while	SCONJ
easat-4020	155	18	not	not	PART
easat-4020	155	19	greatly	greatly	ADV
easat-4020	155	20	affecting	affect	VERB
easat-4020	155	21	the	the	DET
easat-4020	155	22	efficiency	efficiency	NOUN
easat-4020	155	23	of	of	ADP
easat-4020	155	24	the	the	DET
easat-4020	155	25	method	method	NOUN
easat-4020	155	26	.	.	PUNCT
easat-4020	156	1	3.3	3.3	NUM
easat-4020	156	2	.	.	PUNCT
easat-4020	157	1	results	result	NOUN
easat-4020	157	2	on	on	ADP
easat-4020	157	3	synthetic	synthetic	ADJ
easat-4020	157	4	data	datum	NOUN
easat-4020	157	5	the	the	DET
easat-4020	157	6	proposed	propose	VERB
easat-4020	157	7	method	method	NOUN
easat-4020	157	8	was	be	AUX
easat-4020	157	9	tested	test	VERB
easat-4020	157	10	on	on	ADP
easat-4020	157	11	synthetic	synthetic	ADJ
easat-4020	157	12	datasets	dataset	NOUN
easat-4020	157	13	of	of	ADP
easat-4020	157	14	different	different	ADJ
easat-4020	157	15	size	size	NOUN
easat-4020	157	16	and	and	CCONJ
easat-4020	157	17	different	different	ADJ
easat-4020	157	18	density	density	NOUN
easat-4020	157	19	of	of	ADP
easat-4020	157	20	edges	edge	NOUN
easat-4020	157	21	.	.	PUNCT
easat-4020	158	1	table	table	NOUN
easat-4020	158	2	1	1	NUM
easat-4020	158	3	presents	present	VERB
easat-4020	158	4	the	the	DET
easat-4020	158	5	numerical	numerical	ADJ
easat-4020	158	6	results	result	NOUN
easat-4020	158	7	of	of	ADP
easat-4020	158	8	clustering	clustering	ADJ
easat-4020	158	9	accuracy	accuracy	NOUN
easat-4020	158	10	and	and	CCONJ
easat-4020	158	11	conductance	conductance	NOUN
easat-4020	158	12	for	for	ADP
easat-4020	158	13	graphs	graph	NOUN
easat-4020	158	14	with	with	ADP
easat-4020	158	15	nodes	node	NOUN
easat-4020	158	16	numbers	number	NOUN
easat-4020	158	17	of	of	ADP
easat-4020	158	18	1,000	1,000	NUM
easat-4020	158	19	,	,	PUNCT
easat-4020	158	20	10,000	10,000	NUM
easat-4020	158	21	and	and	CCONJ
easat-4020	158	22	100,000	100,000	NUM
easat-4020	158	23	.	.	PUNCT
easat-4020	159	1	the	the	DET
easat-4020	159	2	method	method	NOUN
easat-4020	159	3	was	be	AUX
easat-4020	159	4	compared	compare	VERB
easat-4020	159	5	with	with	ADP
easat-4020	159	6	other	other	ADJ
easat-4020	159	7	methods	method	NOUN
easat-4020	159	8	such	such	ADJ
easat-4020	159	9	as	as	ADP
easat-4020	159	10	spectral	spectral	ADJ
easat-4020	159	11	clustering	clustering	NOUN
easat-4020	159	12	(	(	PUNCT
easat-4020	159	13	sc	sc	NOUN
easat-4020	159	14	)	)	PUNCT
easat-4020	159	15	as	as	ADV
easat-4020	159	16	well	well	ADV
easat-4020	159	17	as	as	ADP
easat-4020	159	18	greedy	greedy	ADJ
easat-4020	159	19	partitioning	partitioning	NOUN
easat-4020	159	20	(	(	PUNCT
easat-4020	159	21	gp	gp	NOUN
easat-4020	159	22	)	)	PUNCT
easat-4020	159	23	.	.	PUNCT
easat-4020	160	1	9444	9444	NUM
easat-4020	160	2	edelweiss	edelweiss	PROPN
easat-4020	160	3	applied	apply	VERB
easat-4020	160	4	science	science	NOUN
easat-4020	160	5	and	and	CCONJ
easat-4020	160	6	technology	technology	NOUN
easat-4020	160	7	issn	issn	PROPN
easat-4020	160	8	:	:	PUNCT
easat-4020	160	9	2576	2576	NUM
easat-4020	160	10	-	-	SYM
easat-4020	160	11	8484	8484	NUM
easat-4020	160	12	vol	vol	NOUN
easat-4020	160	13	.	.	PROPN
easat-4020	160	14	8	8	NUM
easat-4020	160	15	,	,	PUNCT
easat-4020	160	16	no	no	INTJ
easat-4020	160	17	.	.	NOUN
easat-4020	161	1	6	6	NUM
easat-4020	161	2	:	:	SYM
easat-4020	161	3	9438	9438	NUM
easat-4020	161	4	-	-	SYM
easat-4020	161	5	9449	9449	NUM
easat-4020	161	6	,	,	PUNCT
easat-4020	161	7	2024	2024	NUM
easat-4020	161	8	doi	doi	NOUN
easat-4020	161	9	:	:	PUNCT
easat-4020	161	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	161	11	©	©	ADP
easat-4020	161	12	2024	2024	NUM
easat-4020	161	13	by	by	ADP
easat-4020	161	14	the	the	DET
easat-4020	161	15	author	author	NOUN
easat-4020	161	16	;	;	PUNCT
easat-4020	161	17	licensee	licensee	PROPN
easat-4020	161	18	learning	learn	VERB
easat-4020	161	19	gate	gate	NOUN
easat-4020	161	20	table	table	NOUN
easat-4020	161	21	4	4	NUM
easat-4020	161	22	.	.	PUNCT
easat-4020	161	23	performance	performance	NOUN
easat-4020	161	24	on	on	ADP
easat-4020	161	25	synthetic	synthetic	ADJ
easat-4020	161	26	graphs	graph	NOUN
easat-4020	161	27	.	.	PUNCT
easat-4020	162	1	nodes	node	NOUN
easat-4020	162	2	edge	edge	VERB
easat-4020	162	3	colors	color	NOUN
easat-4020	162	4	algorithm	algorithm	NOUN
easat-4020	162	5	clustering	clustering	NOUN
easat-4020	162	6	accuracy	accuracy	NOUN
easat-4020	162	7	(	(	PUNCT
easat-4020	162	8	ca	ca	NOUN
easat-4020	162	9	)	)	PUNCT
easat-4020	162	10	conductance	conductance	NOUN
easat-4020	162	11	runtime	runtime	NOUN
easat-4020	162	12	(	(	PUNCT
easat-4020	162	13	s	s	NOUN
easat-4020	162	14	)	)	PUNCT
easat-4020	162	15	1,000	1,000	NUM
easat-4020	162	16	5	5	NUM
easat-4020	162	17	proposed	propose	VERB
easat-4020	162	18	method	method	NOUN
easat-4020	162	19	0.92	0.92	NUM
easat-4020	162	20	0.12	0.12	NUM
easat-4020	162	21	0.56	0.56	NUM
easat-4020	162	22	sc	sc	PROPN
easat-4020	162	23	0.89	0.89	NUM
easat-4020	162	24	0.18	0.18	NUM
easat-4020	162	25	0.62	0.62	NUM
easat-4020	162	26	gp	gp	NOUN
easat-4020	162	27	0.81	0.81	NUM
easat-4020	162	28	0.20	0.20	NUM
easat-4020	162	29	0.50	0.50	NUM
easat-4020	162	30	10,000	10,000	NUM
easat-4020	162	31	10	10	NUM
easat-4020	162	32	proposed	propose	VERB
easat-4020	162	33	method	method	NOUN
easat-4020	162	34	0.88	0.88	NUM
easat-4020	162	35	0.16	0.16	NUM
easat-4020	162	36	1.23	1.23	NUM
easat-4020	162	37	sc	sc	NOUN
easat-4020	162	38	0.84	0.84	NUM
easat-4020	162	39	0.21	0.21	NUM
easat-4020	162	40	1.47	1.47	NUM
easat-4020	162	41	gp	gp	NOUN
easat-4020	162	42	0.77	0.77	NUM
easat-4020	162	43	0.24	0.24	NUM
easat-4020	162	44	1.10	1.10	NUM
easat-4020	162	45	100,000	100,000	NUM
easat-4020	162	46	20	20	NUM
easat-4020	162	47	proposed	propose	VERB
easat-4020	162	48	method	method	NOUN
easat-4020	162	49	0.86	0.86	NUM
easat-4020	162	50	0.17	0.17	NUM
easat-4020	162	51	2.78	2.78	NUM
easat-4020	162	52	sc	sc	PROPN
easat-4020	162	53	0.83	0.83	NUM
easat-4020	162	54	0.23	0.23	NUM
easat-4020	162	55	3.15	3.15	NUM
easat-4020	162	56	gp	gp	NOUN
easat-4020	162	57	0.72	0.72	NUM
easat-4020	162	58	0.27	0.27	NUM
easat-4020	162	59	2.31	2.31	NUM
easat-4020	162	60	3.3.1	3.3.1	NUM
easat-4020	162	61	.	.	PUNCT
easat-4020	163	1	discussion	discussion	NOUN
easat-4020	163	2	the	the	DET
easat-4020	163	3	experiments	experiment	NOUN
easat-4020	163	4	show	show	VERB
easat-4020	163	5	that	that	SCONJ
easat-4020	163	6	the	the	DET
easat-4020	163	7	proposed	propose	VERB
easat-4020	163	8	method	method	NOUN
easat-4020	163	9	provides	provide	VERB
easat-4020	163	10	higher	high	ADJ
easat-4020	163	11	clustering	clustering	ADJ
easat-4020	163	12	accuracy	accuracy	NOUN
easat-4020	163	13	than	than	ADP
easat-4020	163	14	the	the	DET
easat-4020	163	15	baseline	baseline	NOUN
easat-4020	163	16	algorithms	algorithm	NOUN
easat-4020	163	17	,	,	PUNCT
easat-4020	163	18	and	and	CCONJ
easat-4020	163	19	the	the	DET
easat-4020	163	20	difference	difference	NOUN
easat-4020	163	21	is	be	AUX
easat-4020	163	22	much	much	ADV
easat-4020	163	23	more	more	ADV
easat-4020	163	24	marked	mark	VERB
easat-4020	163	25	for	for	ADP
easat-4020	163	26	greater	great	ADJ
easat-4020	163	27	graphs	graph	NOUN
easat-4020	163	28	.	.	PUNCT
easat-4020	164	1	the	the	DET
easat-4020	164	2	decrease	decrease	NOUN
easat-4020	164	3	of	of	ADP
easat-4020	164	4	the	the	DET
easat-4020	164	5	conductance	conductance	NOUN
easat-4020	164	6	also	also	ADV
easat-4020	164	7	shows	show	VERB
easat-4020	164	8	that	that	SCONJ
easat-4020	164	9	the	the	DET
easat-4020	164	10	proposed	propose	VERB
easat-4020	164	11	method	method	NOUN
easat-4020	164	12	can	can	AUX
easat-4020	164	13	generate	generate	VERB
easat-4020	164	14	desirable	desirable	ADJ
easat-4020	164	15	well	well	ADV
easat-4020	164	16	-	-	PUNCT
easat-4020	164	17	separated	separate	VERB
easat-4020	164	18	clusters	cluster	NOUN
easat-4020	164	19	.	.	PUNCT
easat-4020	165	1	the	the	DET
easat-4020	165	2	performance	performance	NOUN
easat-4020	165	3	of	of	ADP
easat-4020	165	4	the	the	DET
easat-4020	165	5	proposed	propose	VERB
easat-4020	165	6	method	method	NOUN
easat-4020	165	7	is	be	AUX
easat-4020	165	8	reasonable	reasonable	ADJ
easat-4020	165	9	,	,	PUNCT
easat-4020	165	10	which	which	PRON
easat-4020	165	11	only	only	ADV
easat-4020	165	12	grows	grow	VERB
easat-4020	165	13	slightly	slightly	ADV
easat-4020	165	14	with	with	ADP
easat-4020	165	15	the	the	DET
easat-4020	165	16	size	size	NOUN
easat-4020	165	17	of	of	ADP
easat-4020	165	18	the	the	DET
easat-4020	165	19	graph	graph	NOUN
easat-4020	165	20	,	,	PUNCT
easat-4020	165	21	indicating	indicate	VERB
easat-4020	165	22	the	the	DET
easat-4020	165	23	practicability	practicability	NOUN
easat-4020	165	24	of	of	ADP
easat-4020	165	25	the	the	DET
easat-4020	165	26	approach	approach	NOUN
easat-4020	165	27	.	.	PUNCT
easat-4020	166	1	3.4	3.4	NUM
easat-4020	166	2	.	.	PUNCT
easat-4020	166	3	results	result	NOUN
easat-4020	166	4	on	on	ADP
easat-4020	166	5	real	real	ADJ
easat-4020	166	6	-	-	PUNCT
easat-4020	166	7	world	world	NOUN
easat-4020	166	8	data	datum	NOUN
easat-4020	166	9	the	the	DET
easat-4020	166	10	performance	performance	NOUN
easat-4020	166	11	of	of	ADP
easat-4020	166	12	the	the	DET
easat-4020	166	13	proposed	propose	VERB
easat-4020	166	14	method	method	NOUN
easat-4020	166	15	was	be	AUX
easat-4020	166	16	tested	test	VERB
easat-4020	166	17	on	on	ADP
easat-4020	166	18	two	two	NUM
easat-4020	166	19	datasets	dataset	NOUN
easat-4020	166	20	,	,	PUNCT
easat-4020	166	21	namely	namely	ADV
easat-4020	166	22	dblp	dblp	NOUN
easat-4020	166	23	and	and	CCONJ
easat-4020	166	24	youtube	youtube	NOUN
easat-4020	166	25	.	.	PUNCT
easat-4020	167	1	the	the	DET
easat-4020	167	2	result	result	NOUN
easat-4020	167	3	is	be	AUX
easat-4020	167	4	reported	report	VERB
easat-4020	167	5	in	in	ADP
easat-4020	167	6	table	table	NOUN
easat-4020	167	7	2	2	NUM
easat-4020	167	8	based	base	VERB
easat-4020	167	9	on	on	ADP
easat-4020	167	10	comparison	comparison	NOUN
easat-4020	167	11	with	with	ADP
easat-4020	167	12	spectral	spectral	ADJ
easat-4020	167	13	clustering	clustering	NOUN
easat-4020	167	14	(	(	PUNCT
easat-4020	167	15	sc	sc	NOUN
easat-4020	167	16	)	)	PUNCT
easat-4020	167	17	and	and	CCONJ
easat-4020	167	18	greedy	greedy	ADJ
easat-4020	167	19	partitioning	partitioning	NOUN
easat-4020	167	20	(	(	PUNCT
easat-4020	167	21	gp	gp	NOUN
easat-4020	167	22	)	)	PUNCT
easat-4020	167	23	.	.	PUNCT
easat-4020	168	1	table	table	NOUN
easat-4020	168	2	5	5	NUM
easat-4020	168	3	.	.	PUNCT
easat-4020	168	4	performance	performance	NOUN
easat-4020	168	5	on	on	ADP
easat-4020	168	6	real	real	ADJ
easat-4020	168	7	-	-	PUNCT
easat-4020	168	8	world	world	NOUN
easat-4020	168	9	data	datum	NOUN
easat-4020	168	10	.	.	PUNCT
easat-4020	169	1	dataset	dataset	NOUN
easat-4020	169	2	nodes	node	NOUN
easat-4020	169	3	algorithm	algorithm	PROPN
easat-4020	169	4	nmi	nmi	PROPN
easat-4020	169	5	conductance	conductance	NOUN
easat-4020	169	6	runtime	runtime	NOUN
easat-4020	169	7	(	(	PUNCT
easat-4020	169	8	s	s	NOUN
easat-4020	169	9	)	)	PUNCT
easat-4020	169	10	dblp	dblp	NOUN
easat-4020	169	11	15,000	15,000	NUM
easat-4020	169	12	proposed	propose	VERB
easat-4020	169	13	method	method	NOUN
easat-4020	169	14	0.81	0.81	NUM
easat-4020	169	15	0.14	0.14	NUM
easat-4020	169	16	1.56	1.56	NUM
easat-4020	169	17	sc	sc	NOUN
easat-4020	169	18	0.77	0.77	NUM
easat-4020	169	19	0.20	0.20	NUM
easat-4020	169	20	1.98	1.98	NUM
easat-4020	169	21	gp	gp	NOUN
easat-4020	169	22	0.72	0.72	NUM
easat-4020	169	23	0.23	0.23	NUM
easat-4020	169	24	1.25	1.25	NUM
easat-4020	169	25	youtube	youtube	NOUN
easat-4020	169	26	1,134,890	1,134,890	NUM
easat-4020	169	27	proposed	propose	VERB
easat-4020	169	28	method	method	NOUN
easat-4020	169	29	0.73	0.73	NUM
easat-4020	169	30	0.19	0.19	NUM
easat-4020	169	31	24.56	24.56	NUM
easat-4020	169	32	sc	sc	NOUN
easat-4020	169	33	0.68	0.68	NUM
easat-4020	169	34	0.25	0.25	NUM
easat-4020	169	35	27.89	27.89	NUM
easat-4020	169	36	gp	gp	NOUN
easat-4020	169	37	0.65	0.65	NUM
easat-4020	169	38	0.28	0.28	NUM
easat-4020	169	39	22.78	22.78	NUM
easat-4020	169	40	3.4.1	3.4.1	NUM
easat-4020	169	41	.	.	PUNCT
easat-4020	170	1	discussion	discussion	NOUN
easat-4020	170	2	in	in	ADP
easat-4020	170	3	the	the	DET
easat-4020	170	4	dblp	dblp	NOUN
easat-4020	170	5	dataset	dataset	NOUN
easat-4020	170	6	,	,	PUNCT
easat-4020	170	7	the	the	DET
easat-4020	170	8	proposed	propose	VERB
easat-4020	170	9	method	method	NOUN
easat-4020	170	10	demonstrates	demonstrate	VERB
easat-4020	170	11	reasonable	reasonable	ADJ
easat-4020	170	12	integration	integration	NOUN
easat-4020	170	13	as	as	SCONJ
easat-4020	170	14	indicated	indicate	VERB
easat-4020	170	15	by	by	ADP
easat-4020	170	16	the	the	DET
easat-4020	170	17	nmi	nmi	PROPN
easat-4020	170	18	and	and	CCONJ
easat-4020	170	19	substantially	substantially	ADV
easat-4020	170	20	lower	low	ADJ
easat-4020	170	21	conductance	conductance	NOUN
easat-4020	170	22	than	than	ADP
easat-4020	170	23	the	the	DET
easat-4020	170	24	baseline	baseline	NOUN
easat-4020	170	25	methods	method	NOUN
easat-4020	170	26	.	.	PUNCT
easat-4020	171	1	this	this	PRON
easat-4020	171	2	raises	raise	VERB
easat-4020	171	3	the	the	DET
easat-4020	171	4	conclusion	conclusion	NOUN
easat-4020	171	5	that	that	SCONJ
easat-4020	171	6	the	the	DET
easat-4020	171	7	clusters	cluster	NOUN
easat-4020	171	8	derived	derive	VERB
easat-4020	171	9	from	from	ADP
easat-4020	171	10	the	the	DET
easat-4020	171	11	proposed	propose	VERB
easat-4020	171	12	method	method	NOUN
easat-4020	171	13	are	be	AUX
easat-4020	171	14	nearer	nearer	ADJ
easat-4020	171	15	to	to	ADP
easat-4020	171	16	the	the	DET
easat-4020	171	17	ground	ground	NOUN
easat-4020	171	18	truth	truth	NOUN
easat-4020	171	19	and	and	CCONJ
easat-4020	171	20	are	be	AUX
easat-4020	171	21	characterized	characterize	VERB
easat-4020	171	22	by	by	ADP
easat-4020	171	23	better	well	ADJ
easat-4020	171	24	separation	separation	NOUN
easat-4020	171	25	.	.	PUNCT
easat-4020	172	1	grouped	group	VERB
easat-4020	172	2	on	on	ADP
easat-4020	172	3	the	the	DET
easat-4020	172	4	subset	subset	NOUN
easat-4020	172	5	of	of	ADP
easat-4020	172	6	youtube	youtube	NOUN
easat-4020	172	7	dataset	dataset	NOUN
easat-4020	172	8	,	,	PUNCT
easat-4020	172	9	the	the	DET
easat-4020	172	10	proposed	propose	VERB
easat-4020	172	11	methods	method	NOUN
easat-4020	172	12	properly	properly	ADV
easat-4020	172	13	decrease	decrease	VERB
easat-4020	172	14	the	the	DET
easat-4020	172	15	conductance	conductance	NOUN
easat-4020	172	16	while	while	SCONJ
easat-4020	172	17	keeping	keep	VERB
easat-4020	172	18	the	the	DET
easat-4020	172	19	proper	proper	ADJ
easat-4020	172	20	time	time	NOUN
easat-4020	172	21	-	-	PUNCT
easat-4020	172	22	complexity	complexity	NOUN
easat-4020	172	23	.	.	PUNCT
easat-4020	173	1	this	this	PRON
easat-4020	173	2	also	also	ADV
easat-4020	173	3	establishes	establish	VERB
easat-4020	173	4	the	the	DET
easat-4020	173	5	efficiency	efficiency	NOUN
easat-4020	173	6	of	of	ADP
easat-4020	173	7	the	the	DET
easat-4020	173	8	method	method	NOUN
easat-4020	173	9	in	in	ADP
easat-4020	173	10	other	other	ADJ
easat-4020	173	11	big	big	ADJ
easat-4020	173	12	real	real	ADJ
easat-4020	173	13	-	-	PUNCT
easat-4020	173	14	life	life	NOUN
easat-4020	173	15	networks	network	NOUN
easat-4020	173	16	with	with	ADP
easat-4020	173	17	rich	rich	ADJ
easat-4020	173	18	and	and	CCONJ
easat-4020	173	19	detailed	detailed	ADJ
easat-4020	173	20	multilabel	multilabel	NOUN
easat-4020	173	21	architecture	architecture	NOUN
easat-4020	173	22	.	.	PUNCT
easat-4020	174	1	the	the	DET
easat-4020	174	2	next	next	ADJ
easat-4020	174	3	bar	bar	NOUN
easat-4020	174	4	chart	chart	NOUN
easat-4020	174	5	shows	show	VERB
easat-4020	174	6	the	the	DET
easat-4020	174	7	performance	performance	NOUN
easat-4020	174	8	of	of	ADP
easat-4020	174	9	the	the	DET
easat-4020	174	10	proposed	propose	VERB
easat-4020	174	11	method	method	NOUN
easat-4020	174	12	,	,	PUNCT
easat-4020	174	13	spectral	spectral	ADJ
easat-4020	174	14	clustering	clustering	NOUN
easat-4020	174	15	,	,	PUNCT
easat-4020	174	16	and	and	CCONJ
easat-4020	174	17	greedy	greedy	ADJ
easat-4020	174	18	partitioning	partitioning	NOUN
easat-4020	174	19	in	in	ADP
easat-4020	174	20	normalized	normalize	VERB
easat-4020	174	21	mutual	mutual	ADJ
easat-4020	174	22	information	information	NOUN
easat-4020	174	23	(	(	PUNCT
easat-4020	174	24	nmi	nmi	PROPN
easat-4020	174	25	)	)	PUNCT
easat-4020	174	26	and	and	CCONJ
easat-4020	174	27	conductance	conductance	NOUN
easat-4020	174	28	on	on	ADP
easat-4020	174	29	the	the	DET
easat-4020	174	30	dblp	dblp	NOUN
easat-4020	174	31	and	and	CCONJ
easat-4020	174	32	youtube	youtube	NOUN
easat-4020	174	33	datasets	dataset	NOUN
easat-4020	174	34	.	.	PUNCT
easat-4020	175	1	with	with	ADP
easat-4020	175	2	respect	respect	NOUN
easat-4020	175	3	to	to	ADP
easat-4020	175	4	the	the	DET
easat-4020	175	5	two	two	NUM
easat-4020	175	6	baselines	baseline	NOUN
easat-4020	175	7	,	,	PUNCT
easat-4020	175	8	the	the	DET
easat-4020	175	9	proposed	propose	VERB
easat-4020	175	10	method	method	NOUN
easat-4020	175	11	better	well	ADJ
easat-4020	175	12	performs	perform	VERB
easat-4020	175	13	with	with	ADP
easat-4020	175	14	higher	high	ADJ
easat-4020	175	15	nmi	nmi	NOUN
easat-4020	175	16	and	and	CCONJ
easat-4020	175	17	lower	low	ADJ
easat-4020	175	18	conductance	conductance	NOUN
easat-4020	175	19	for	for	ADP
easat-4020	175	20	both	both	DET
easat-4020	175	21	dataset	dataset	VERB
easat-4020	175	22	considered	consider	VERB
easat-4020	175	23	.	.	PUNCT
easat-4020	176	1	9445	9445	NUM
easat-4020	176	2	edelweiss	edelweiss	PROPN
easat-4020	176	3	applied	apply	VERB
easat-4020	176	4	science	science	NOUN
easat-4020	176	5	and	and	CCONJ
easat-4020	176	6	technology	technology	NOUN
easat-4020	176	7	issn	issn	PROPN
easat-4020	176	8	:	:	PUNCT
easat-4020	176	9	2576	2576	NUM
easat-4020	176	10	-	-	SYM
easat-4020	176	11	8484	8484	NUM
easat-4020	176	12	vol	vol	NOUN
easat-4020	176	13	.	.	PROPN
easat-4020	176	14	8	8	NUM
easat-4020	176	15	,	,	PUNCT
easat-4020	176	16	no	no	INTJ
easat-4020	176	17	.	.	NOUN
easat-4020	177	1	6	6	NUM
easat-4020	177	2	:	:	SYM
easat-4020	177	3	9438	9438	NUM
easat-4020	177	4	-	-	SYM
easat-4020	177	5	9449	9449	NUM
easat-4020	177	6	,	,	PUNCT
easat-4020	177	7	2024	2024	NUM
easat-4020	177	8	doi	doi	NOUN
easat-4020	177	9	:	:	PUNCT
easat-4020	177	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	177	11	©	©	ADP
easat-4020	177	12	2024	2024	NUM
easat-4020	177	13	by	by	ADP
easat-4020	177	14	the	the	DET
easat-4020	177	15	author	author	NOUN
easat-4020	177	16	;	;	PUNCT
easat-4020	177	17	licensee	licensee	PROPN
easat-4020	177	18	learning	learn	VERB
easat-4020	177	19	gate	gate	NOUN
easat-4020	177	20	figure	figure	NOUN
easat-4020	177	21	2	2	NUM
easat-4020	177	22	.	.	PUNCT
easat-4020	177	23	performance	performance	NOUN
easat-4020	177	24	comparison	comparison	NOUN
easat-4020	177	25	.	.	PUNCT
easat-4020	178	1	3.5	3.5	NUM
easat-4020	178	2	.	.	PUNCT
easat-4020	179	1	scalability	scalability	NOUN
easat-4020	179	2	analysis	analysis	NOUN
easat-4020	179	3	to	to	AUX
easat-4020	179	4	more	more	ADV
easat-4020	179	5	fully	fully	ADV
easat-4020	179	6	assess	assess	VERB
easat-4020	179	7	the	the	DET
easat-4020	179	8	feasibility	feasibility	NOUN
easat-4020	179	9	of	of	ADP
easat-4020	179	10	applying	apply	VERB
easat-4020	179	11	the	the	DET
easat-4020	179	12	described	describe	VERB
easat-4020	179	13	method	method	NOUN
easat-4020	179	14	,	,	PUNCT
easat-4020	179	15	experimentation	experimentation	NOUN
easat-4020	179	16	was	be	AUX
easat-4020	179	17	carried	carry	VERB
easat-4020	179	18	out	out	ADP
easat-4020	179	19	on	on	ADP
easat-4020	179	20	synthetic	synthetic	ADJ
easat-4020	179	21	datasets	dataset	NOUN
easat-4020	179	22	of	of	ADP
easat-4020	179	23	growing	grow	VERB
easat-4020	179	24	numbers	number	NOUN
easat-4020	179	25	of	of	ADP
easat-4020	179	26	nodes	node	NOUN
easat-4020	179	27	.	.	PUNCT
easat-4020	180	1	the	the	DET
easat-4020	180	2	runtime	runtime	NOUN
easat-4020	180	3	of	of	ADP
easat-4020	180	4	the	the	DET
easat-4020	180	5	proposed	propose	VERB
easat-4020	180	6	method	method	NOUN
easat-4020	180	7	is	be	AUX
easat-4020	180	8	compared	compare	VERB
easat-4020	180	9	with	with	ADP
easat-4020	180	10	sc	sc	PROPN
easat-4020	180	11	and	and	CCONJ
easat-4020	180	12	gp	gp	NOUN
easat-4020	180	13	as	as	SCONJ
easat-4020	180	14	the	the	DET
easat-4020	180	15	number	number	NOUN
easat-4020	180	16	of	of	ADP
easat-4020	180	17	nodes	node	NOUN
easat-4020	180	18	is	be	AUX
easat-4020	180	19	gradually	gradually	ADV
easat-4020	180	20	increased	increase	VERB
easat-4020	180	21	from	from	ADP
easat-4020	180	22	1000	1000	NUM
easat-4020	180	23	to	to	ADP
easat-4020	180	24	1000000	1000000	NUM
easat-4020	180	25	.	.	PUNCT
easat-4020	181	1	the	the	DET
easat-4020	181	2	results	result	NOUN
easat-4020	181	3	are	be	AUX
easat-4020	181	4	shown	show	VERB
easat-4020	181	5	in	in	ADP
easat-4020	181	6	what	what	PRON
easat-4020	181	7	follows	follow	VERB
easat-4020	181	8	in	in	ADP
easat-4020	181	9	figure	figure	NOUN
easat-4020	181	10	3	3	NUM
easat-4020	181	11	.	.	PUNCT
easat-4020	181	12	figure	figure	NOUN
easat-4020	181	13	3	3	NUM
easat-4020	181	14	.	.	PUNCT
easat-4020	182	1	scalability	scalability	NOUN
easat-4020	182	2	of	of	ADP
easat-4020	182	3	the	the	DET
easat-4020	182	4	proposed	propose	VERB
easat-4020	182	5	method	method	NOUN
easat-4020	182	6	.	.	PUNCT
easat-4020	183	1	9446	9446	NUM
easat-4020	183	2	edelweiss	edelweiss	PROPN
easat-4020	183	3	applied	apply	VERB
easat-4020	183	4	science	science	NOUN
easat-4020	183	5	and	and	CCONJ
easat-4020	183	6	technology	technology	NOUN
easat-4020	183	7	issn	issn	PROPN
easat-4020	183	8	:	:	PUNCT
easat-4020	183	9	2576	2576	NUM
easat-4020	183	10	-	-	SYM
easat-4020	183	11	8484	8484	NUM
easat-4020	183	12	vol	vol	NOUN
easat-4020	183	13	.	.	PROPN
easat-4020	183	14	8	8	NUM
easat-4020	183	15	,	,	PUNCT
easat-4020	183	16	no	no	INTJ
easat-4020	183	17	.	.	NOUN
easat-4020	184	1	6	6	NUM
easat-4020	184	2	:	:	SYM
easat-4020	184	3	9438	9438	NUM
easat-4020	184	4	-	-	SYM
easat-4020	184	5	9449	9449	NUM
easat-4020	184	6	,	,	PUNCT
easat-4020	184	7	2024	2024	NUM
easat-4020	184	8	doi	doi	NOUN
easat-4020	184	9	:	:	PUNCT
easat-4020	184	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	184	11	©	©	ADP
easat-4020	184	12	2024	2024	NUM
easat-4020	184	13	by	by	ADP
easat-4020	184	14	the	the	DET
easat-4020	184	15	author	author	NOUN
easat-4020	184	16	;	;	PUNCT
easat-4020	184	17	licensee	licensee	NOUN
easat-4020	184	18	learning	learning	NOUN
easat-4020	184	19	gate	gate	NOUN
easat-4020	184	20	as	as	SCONJ
easat-4020	184	21	it	it	PRON
easat-4020	184	22	can	can	AUX
easat-4020	184	23	be	be	AUX
easat-4020	184	24	seen	see	VERB
easat-4020	184	25	from	from	ADP
easat-4020	184	26	the	the	DET
easat-4020	184	27	figure	figure	NOUN
easat-4020	184	28	,	,	PUNCT
easat-4020	184	29	the	the	DET
easat-4020	184	30	runtime	runtime	NOUN
easat-4020	184	31	of	of	ADP
easat-4020	184	32	the	the	DET
easat-4020	184	33	proposed	propose	VERB
easat-4020	184	34	method	method	NOUN
easat-4020	184	35	increases	increase	VERB
easat-4020	184	36	slightly	slightly	ADV
easat-4020	184	37	faster	fast	ADV
easat-4020	184	38	than	than	ADP
easat-4020	184	39	the	the	DET
easat-4020	184	40	logarithm	logarithm	NOUN
easat-4020	184	41	of	of	ADP
easat-4020	184	42	the	the	DET
easat-4020	184	43	number	number	NOUN
easat-4020	184	44	of	of	ADP
easat-4020	184	45	features	feature	NOUN
easat-4020	184	46	,	,	PUNCT
easat-4020	184	47	which	which	PRON
easat-4020	184	48	is	be	AUX
easat-4020	184	49	much	much	ADV
easat-4020	184	50	slower	slow	ADJ
easat-4020	184	51	compared	compare	VERB
easat-4020	184	52	to	to	ADP
easat-4020	184	53	sc	sc	PROPN
easat-4020	184	54	and	and	CCONJ
easat-4020	184	55	gp	gp	NOUN
easat-4020	184	56	,	,	PUNCT
easat-4020	184	57	meaning	mean	VERB
easat-4020	184	58	that	that	SCONJ
easat-4020	184	59	the	the	DET
easat-4020	184	60	proposed	propose	VERB
easat-4020	184	61	method	method	NOUN
easat-4020	184	62	is	be	AUX
easat-4020	184	63	scalable	scalable	ADJ
easat-4020	184	64	.	.	PUNCT
easat-4020	185	1	this	this	PRON
easat-4020	185	2	further	far	ADV
easat-4020	185	3	validates	validate	VERB
easat-4020	185	4	the	the	DET
easat-4020	185	5	proposed	propose	VERB
easat-4020	185	6	method	method	NOUN
easat-4020	185	7	in	in	SCONJ
easat-4020	185	8	that	that	SCONJ
easat-4020	185	9	it	it	PRON
easat-4020	185	10	can	can	AUX
easat-4020	185	11	work	work	VERB
easat-4020	185	12	effectively	effectively	ADV
easat-4020	185	13	for	for	ADP
easat-4020	185	14	a	a	DET
easat-4020	185	15	very	very	ADV
easat-4020	185	16	large	large	ADJ
easat-4020	185	17	number	number	NOUN
easat-4020	185	18	of	of	ADP
easat-4020	185	19	records	record	NOUN
easat-4020	185	20	with	with	ADP
easat-4020	185	21	little	little	ADJ
easat-4020	185	22	compromise	compromise	NOUN
easat-4020	185	23	on	on	ADP
easat-4020	185	24	the	the	DET
easat-4020	185	25	performance	performance	NOUN
easat-4020	185	26	.	.	PUNCT
easat-4020	186	1	3.6	3.6	NUM
easat-4020	186	2	.	.	PUNCT
easat-4020	186	3	sensitivity	sensitivity	NOUN
easat-4020	186	4	to	to	PART
easat-4020	186	5	edge	edge	VERB
easat-4020	186	6	colors	color	NOUN
easat-4020	186	7	the	the	DET
easat-4020	186	8	performance	performance	NOUN
easat-4020	186	9	of	of	ADP
easat-4020	186	10	the	the	DET
easat-4020	186	11	clustering	clustering	NOUN
easat-4020	186	12	using	use	VERB
easat-4020	186	13	different	different	ADJ
easat-4020	186	14	number	number	NOUN
easat-4020	186	15	of	of	ADP
easat-4020	186	16	edge	edge	NOUN
easat-4020	186	17	colors	color	NOUN
easat-4020	186	18	was	be	AUX
easat-4020	186	19	also	also	ADV
easat-4020	186	20	studied	study	VERB
easat-4020	186	21	.	.	PUNCT
easat-4020	187	1	from	from	ADP
easat-4020	187	2	table	table	NOUN
easat-4020	187	3	3	3	NUM
easat-4020	187	4	it	it	PRON
easat-4020	187	5	is	be	AUX
easat-4020	187	6	clear	clear	ADJ
easat-4020	187	7	that	that	SCONJ
easat-4020	187	8	the	the	DET
easat-4020	187	9	proposed	propose	VERB
easat-4020	187	10	method	method	NOUN
easat-4020	187	11	is	be	AUX
easat-4020	187	12	less	less	ADV
easat-4020	187	13	sensitive	sensitive	ADJ
easat-4020	187	14	to	to	ADP
easat-4020	187	15	the	the	DET
easat-4020	187	16	number	number	NOUN
easat-4020	187	17	of	of	ADP
easat-4020	187	18	edge	edge	NOUN
easat-4020	187	19	colors	color	NOUN
easat-4020	187	20	than	than	ADP
easat-4020	187	21	sc	sc	PROPN
easat-4020	187	22	and	and	CCONJ
easat-4020	187	23	gp	gp	NOUN
easat-4020	187	24	while	while	SCONJ
easat-4020	187	25	achieving	achieve	VERB
easat-4020	187	26	high	high	ADJ
easat-4020	187	27	accuracy	accuracy	NOUN
easat-4020	187	28	with	with	ADP
easat-4020	187	29	different	different	ADJ
easat-4020	187	30	numbers	number	NOUN
easat-4020	187	31	of	of	ADP
easat-4020	187	32	colors	color	NOUN
easat-4020	187	33	.	.	PUNCT
easat-4020	188	1	table	table	NOUN
easat-4020	188	2	6	6	NUM
easat-4020	188	3	.	.	PUNCT
easat-4020	189	1	sensitivity	sensitivity	NOUN
easat-4020	189	2	to	to	PART
easat-4020	189	3	edge	edge	VERB
easat-4020	189	4	colors	color	NOUN
easat-4020	189	5	.	.	PUNCT
easat-4020	190	1	edge	edge	NOUN
easat-4020	190	2	colors	color	NOUN
easat-4020	190	3	algorithm	algorithm	PROPN
easat-4020	190	4	clustering	clustering	NOUN
easat-4020	190	5	accuracy	accuracy	NOUN
easat-4020	190	6	(	(	PUNCT
easat-4020	190	7	ca	ca	NOUN
easat-4020	190	8	)	)	PUNCT
easat-4020	190	9	5	5	NUM
easat-4020	190	10	proposed	propose	VERB
easat-4020	190	11	method	method	NOUN
easat-4020	190	12	0.92	0.92	NUM
easat-4020	190	13	sc	sc	PROPN
easat-4020	190	14	0.89	0.89	NUM
easat-4020	190	15	gp	gp	NOUN
easat-4020	190	16	0.81	0.81	NUM
easat-4020	190	17	10	10	NUM
easat-4020	190	18	proposed	propose	VERB
easat-4020	190	19	method	method	NOUN
easat-4020	190	20	0.88	0.88	NUM
easat-4020	190	21	sc	sc	NOUN
easat-4020	190	22	0.84	0.84	NUM
easat-4020	190	23	gp	gp	NOUN
easat-4020	190	24	0.77	0.77	NUM
easat-4020	190	25	20	20	NUM
easat-4020	190	26	proposed	propose	VERB
easat-4020	190	27	method	method	NOUN
easat-4020	190	28	0.86	0.86	NUM
easat-4020	190	29	sc	sc	NOUN
easat-4020	190	30	0.83	0.83	NUM
easat-4020	190	31	gp	gp	NOUN
easat-4020	190	32	0.72	0.72	NUM
easat-4020	190	33	3.6.1	3.6.1	NUM
easat-4020	190	34	.	.	PUNCT
easat-4020	191	1	discussion	discussion	NOUN
easat-4020	191	2	the	the	DET
easat-4020	191	3	proposed	propose	VERB
easat-4020	191	4	method	method	NOUN
easat-4020	191	5	shows	show	VERB
easat-4020	191	6	acceptable	acceptable	ADJ
easat-4020	191	7	performance	performance	NOUN
easat-4020	191	8	at	at	ADP
easat-4020	191	9	different	different	ADJ
easat-4020	191	10	numbers	number	NOUN
easat-4020	191	11	of	of	ADP
easat-4020	191	12	edge	edge	NOUN
easat-4020	191	13	colors	color	NOUN
easat-4020	191	14	,	,	PUNCT
easat-4020	191	15	whereas	whereas	SCONJ
easat-4020	191	16	sc	sc	PROPN
easat-4020	191	17	and	and	CCONJ
easat-4020	191	18	gp	gp	NOUN
easat-4020	191	19	degrade	degrade	VERB
easat-4020	191	20	the	the	DET
easat-4020	191	21	clustering	clustering	ADJ
easat-4020	191	22	accuracy	accuracy	NOUN
easat-4020	191	23	more	more	ADV
easat-4020	191	24	sharply	sharply	ADV
easat-4020	191	25	.	.	PUNCT
easat-4020	192	1	this	this	PRON
easat-4020	192	2	means	mean	VERB
easat-4020	192	3	that	that	SCONJ
easat-4020	192	4	the	the	DET
easat-4020	192	5	proposed	propose	VERB
easat-4020	192	6	method	method	NOUN
easat-4020	192	7	is	be	AUX
easat-4020	192	8	better	well	ADV
easat-4020	192	9	placed	place	VERB
easat-4020	192	10	to	to	PART
easat-4020	192	11	handle	handle	VERB
easat-4020	192	12	challenging	challenge	VERB
easat-4020	192	13	multi	multi	ADJ
easat-4020	192	14	-	-	ADJ
easat-4020	192	15	label	label	ADJ
easat-4020	192	16	structures	structure	NOUN
easat-4020	192	17	better	well	ADJ
easat-4020	192	18	than	than	ADP
easat-4020	192	19	the	the	DET
easat-4020	192	20	existing	exist	VERB
easat-4020	192	21	methods	method	NOUN
easat-4020	192	22	for	for	ADP
easat-4020	192	23	datasets	dataset	NOUN
easat-4020	192	24	with	with	ADP
easat-4020	192	25	high	high	ADJ
easat-4020	192	26	dimensional	dimensional	ADJ
easat-4020	192	27	edge	edge	NOUN
easat-4020	192	28	features	feature	NOUN
easat-4020	192	29	.	.	PUNCT
easat-4020	193	1	the	the	DET
easat-4020	193	2	impact	impact	NOUN
easat-4020	193	3	of	of	ADP
easat-4020	193	4	the	the	DET
easat-4020	193	5	number	number	NOUN
easat-4020	193	6	of	of	ADP
easat-4020	193	7	edge	edge	NOUN
easat-4020	193	8	colors	color	NOUN
easat-4020	193	9	on	on	ADP
easat-4020	193	10	clustering	clustering	ADJ
easat-4020	193	11	accuracy	accuracy	NOUN
easat-4020	193	12	was	be	AUX
easat-4020	193	13	tested	test	VERB
easat-4020	193	14	and	and	CCONJ
easat-4020	193	15	compared	compare	VERB
easat-4020	193	16	over	over	ADP
easat-4020	193	17	the	the	DET
easat-4020	193	18	proposed	propose	VERB
easat-4020	193	19	method	method	NOUN
easat-4020	193	20	with	with	ADP
easat-4020	193	21	the	the	DET
easat-4020	193	22	baseline	baseline	PROPN
easat-4020	193	23	methods	method	NOUN
easat-4020	193	24	sc	sc	PROPN
easat-4020	193	25	and	and	CCONJ
easat-4020	193	26	gp	gp	NOUN
easat-4020	193	27	.	.	PUNCT
easat-4020	194	1	the	the	DET
easat-4020	194	2	following	follow	VERB
easat-4020	194	3	chart	chart	NOUN
easat-4020	194	4	indicates	indicate	VERB
easat-4020	194	5	that	that	SCONJ
easat-4020	194	6	as	as	SCONJ
easat-4020	194	7	the	the	DET
easat-4020	194	8	number	number	NOUN
easat-4020	194	9	of	of	ADP
easat-4020	194	10	colours	colour	NOUN
easat-4020	194	11	in	in	ADP
easat-4020	194	12	the	the	DET
easat-4020	194	13	edges	edge	NOUN
easat-4020	194	14	increases	increase	VERB
easat-4020	194	15	the	the	DET
easat-4020	194	16	proposed	propose	VERB
easat-4020	194	17	method	method	NOUN
easat-4020	194	18	is	be	AUX
easat-4020	194	19	inherently	inherently	ADV
easat-4020	194	20	more	more	ADV
easat-4020	194	21	accurate	accurate	ADJ
easat-4020	194	22	than	than	ADP
easat-4020	194	23	the	the	DET
easat-4020	194	24	baseline	baseline	NOUN
easat-4020	194	25	methods	method	NOUN
easat-4020	194	26	which	which	PRON
easat-4020	194	27	supports	support	VERB
easat-4020	194	28	its	its	PRON
easat-4020	194	29	use	use	NOUN
easat-4020	194	30	in	in	ADP
easat-4020	194	31	multi	multi	ADJ
easat-4020	194	32	-	-	ADJ
easat-4020	194	33	label	label	ADJ
easat-4020	194	34	graphs	graph	NOUN
easat-4020	194	35	.	.	PUNCT
easat-4020	195	1	9447	9447	NUM
easat-4020	195	2	edelweiss	edelweiss	PROPN
easat-4020	195	3	applied	apply	VERB
easat-4020	195	4	science	science	NOUN
easat-4020	195	5	and	and	CCONJ
easat-4020	195	6	technology	technology	NOUN
easat-4020	195	7	issn	issn	PROPN
easat-4020	195	8	:	:	PUNCT
easat-4020	195	9	2576	2576	NUM
easat-4020	195	10	-	-	SYM
easat-4020	195	11	8484	8484	NUM
easat-4020	195	12	vol	vol	NOUN
easat-4020	195	13	.	.	PROPN
easat-4020	195	14	8	8	NUM
easat-4020	195	15	,	,	PUNCT
easat-4020	195	16	no	no	INTJ
easat-4020	195	17	.	.	NOUN
easat-4020	196	1	6	6	NUM
easat-4020	196	2	:	:	SYM
easat-4020	196	3	9438	9438	NUM
easat-4020	196	4	-	-	SYM
easat-4020	196	5	9449	9449	NUM
easat-4020	196	6	,	,	PUNCT
easat-4020	196	7	2024	2024	NUM
easat-4020	196	8	doi	doi	NOUN
easat-4020	196	9	:	:	PUNCT
easat-4020	196	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	196	11	©	©	ADP
easat-4020	196	12	2024	2024	NUM
easat-4020	196	13	by	by	ADP
easat-4020	196	14	the	the	DET
easat-4020	196	15	author	author	NOUN
easat-4020	196	16	;	;	PUNCT
easat-4020	197	1	licensee	licensee	PROPN
easat-4020	197	2	learning	learn	VERB
easat-4020	197	3	gate	gate	NOUN
easat-4020	197	4	figure	figure	NOUN
easat-4020	197	5	4	4	NUM
easat-4020	197	6	.	.	PUNCT
easat-4020	197	7	clustering	clustering	ADJ
easat-4020	197	8	accuracy	accuracy	NOUN
easat-4020	197	9	vs	vs	ADP
easat-4020	197	10	edge	edge	NOUN
easat-4020	197	11	colors	color	NOUN
easat-4020	197	12	.	.	PUNCT
easat-4020	198	1	3.7	3.7	NUM
easat-4020	198	2	.	.	PUNCT
easat-4020	198	3	discussion	discussion	NOUN
easat-4020	198	4	of	of	ADP
easat-4020	198	5	key	key	ADJ
easat-4020	198	6	findings	finding	NOUN
easat-4020	198	7	the	the	DET
easat-4020	198	8	experimental	experimental	ADJ
easat-4020	198	9	results	result	NOUN
easat-4020	198	10	show	show	VERB
easat-4020	198	11	that	that	SCONJ
easat-4020	198	12	the	the	DET
easat-4020	198	13	proposed	propose	VERB
easat-4020	198	14	method	method	NOUN
easat-4020	198	15	offers	offer	VERB
easat-4020	198	16	several	several	ADJ
easat-4020	198	17	advantages	advantage	NOUN
easat-4020	198	18	over	over	ADP
easat-4020	198	19	traditional	traditional	ADJ
easat-4020	198	20	clustering	clustering	ADJ
easat-4020	198	21	methods	method	NOUN
easat-4020	198	22	:	:	PUNCT
easat-4020	198	23	•	•	NUM
easat-4020	198	24	accuracy	accuracy	NOUN
easat-4020	198	25	:	:	PUNCT
easat-4020	198	26	the	the	DET
easat-4020	198	27	method	method	NOUN
easat-4020	198	28	shows	show	VERB
easat-4020	198	29	improvement	improvement	NOUN
easat-4020	198	30	over	over	ADP
easat-4020	198	31	spectral	spectral	ADJ
easat-4020	198	32	clustering	clustering	NOUN
easat-4020	198	33	as	as	ADV
easat-4020	198	34	well	well	ADV
easat-4020	198	35	as	as	ADP
easat-4020	198	36	greedy	greedy	ADJ
easat-4020	198	37	partitioning	partitioning	NOUN
easat-4020	198	38	on	on	ADP
easat-4020	198	39	clustering	cluster	VERB
easat-4020	198	40	validity	validity	NOUN
easat-4020	198	41	scores	score	NOUN
easat-4020	198	42	for	for	ADP
easat-4020	198	43	all	all	DET
easat-4020	198	44	measures	measure	NOUN
easat-4020	198	45	,	,	PUNCT
easat-4020	198	46	including	include	VERB
easat-4020	198	47	clustering	clustering	NOUN
easat-4020	198	48	accuracy	accuracy	NOUN
easat-4020	198	49	and	and	CCONJ
easat-4020	198	50	the	the	DET
easat-4020	198	51	normalized	normalize	VERB
easat-4020	198	52	mutual	mutual	ADJ
easat-4020	198	53	information	information	NOUN
easat-4020	198	54	.	.	PUNCT
easat-4020	199	1	•	•	NUM
easat-4020	199	2	well	well	ADV
easat-4020	199	3	-	-	PUNCT
easat-4020	199	4	separated	separate	VERB
easat-4020	199	5	clusters	cluster	NOUN
easat-4020	199	6	:	:	PUNCT
easat-4020	199	7	the	the	DET
easat-4020	199	8	low	low	ADJ
easat-4020	199	9	conductance	conductance	NOUN
easat-4020	199	10	values	value	NOUN
easat-4020	199	11	also	also	ADV
easat-4020	199	12	suggest	suggest	VERB
easat-4020	199	13	that	that	SCONJ
easat-4020	199	14	groups	group	NOUN
easat-4020	199	15	that	that	PRON
easat-4020	199	16	result	result	VERB
easat-4020	199	17	from	from	ADP
easat-4020	199	18	the	the	DET
easat-4020	199	19	proposed	propose	VERB
easat-4020	199	20	method	method	NOUN
easat-4020	199	21	are	be	AUX
easat-4020	199	22	well	well	ADV
easat-4020	199	23	separated	separate	VERB
easat-4020	199	24	minimizing	minimize	VERB
easat-4020	199	25	the	the	DET
easat-4020	199	26	chances	chance	NOUN
easat-4020	199	27	of	of	ADP
easat-4020	199	28	having	have	VERB
easat-4020	199	29	noisy	noisy	ADJ
easat-4020	199	30	edges	edge	NOUN
easat-4020	199	31	between	between	ADP
easat-4020	199	32	groups	group	NOUN
easat-4020	199	33	.	.	PUNCT
easat-4020	200	1	•	•	NUM
easat-4020	200	2	scalability	scalability	NOUN
easat-4020	200	3	:	:	PUNCT
easat-4020	200	4	the	the	DET
easat-4020	200	5	approach	approach	NOUN
easat-4020	200	6	is	be	AUX
easat-4020	200	7	flexible	flexible	ADJ
easat-4020	200	8	for	for	ADP
easat-4020	200	9	large	large	ADJ
easat-4020	200	10	graph	graph	NOUN
easat-4020	200	11	size	size	NOUN
easat-4020	200	12	and	and	CCONJ
easat-4020	200	13	has	have	VERB
easat-4020	200	14	relatively	relatively	ADV
easat-4020	200	15	comparable	comparable	ADJ
easat-4020	200	16	performance	performance	NOUN
easat-4020	200	17	on	on	ADP
easat-4020	200	18	large	large	ADJ
easat-4020	200	19	-	-	PUNCT
easat-4020	200	20	scale	scale	NOUN
easat-4020	200	21	graphs	graph	NOUN
easat-4020	200	22	.	.	PUNCT
easat-4020	201	1	•	•	NOUN
easat-4020	201	2	robustness	robustness	NOUN
easat-4020	201	3	:	:	PUNCT
easat-4020	201	4	the	the	DET
easat-4020	201	5	method	method	NOUN
easat-4020	201	6	holds	hold	VERB
easat-4020	201	7	robust	robust	ADJ
easat-4020	201	8	performance	performance	NOUN
easat-4020	201	9	across	across	ADP
easat-4020	201	10	varying	vary	VERB
easat-4020	201	11	numbers	number	NOUN
easat-4020	201	12	of	of	ADP
easat-4020	201	13	edge	edge	NOUN
easat-4020	201	14	colors	color	NOUN
easat-4020	201	15	and	and	CCONJ
easat-4020	201	16	is	be	AUX
easat-4020	201	17	well	well	ADV
easat-4020	201	18	suited	suited	ADJ
easat-4020	201	19	to	to	AUX
easat-4020	201	20	multi	multi	ADJ
easat-4020	201	21	-	-	ADJ
easat-4020	201	22	label	label	ADJ
easat-4020	201	23	and	and	CCONJ
easat-4020	201	24	multi	multi	ADJ
easat-4020	201	25	-	-	ADJ
easat-4020	201	26	dimensional	dimensional	ADJ
easat-4020	201	27	graphs	graph	NOUN
easat-4020	201	28	.	.	PUNCT
easat-4020	202	1	3.8	3.8	NUM
easat-4020	202	2	.	.	PUNCT
easat-4020	202	3	limitations	limitation	NOUN
easat-4020	202	4	however	however	ADV
easat-4020	202	5	,	,	PUNCT
easat-4020	202	6	the	the	DET
easat-4020	202	7	proposed	propose	VERB
easat-4020	202	8	method	method	NOUN
easat-4020	202	9	is	be	AUX
easat-4020	202	10	limited	limit	VERB
easat-4020	202	11	in	in	ADP
easat-4020	202	12	the	the	DET
easat-4020	202	13	following	follow	VERB
easat-4020	202	14	sense	sense	NOUN
easat-4020	202	15	.	.	PUNCT
easat-4020	203	1	first	first	ADV
easat-4020	203	2	,	,	PUNCT
easat-4020	203	3	we	we	PRON
easat-4020	203	4	observe	observe	VERB
easat-4020	203	5	that	that	SCONJ
easat-4020	203	6	the	the	DET
easat-4020	203	7	increase	increase	NOUN
easat-4020	203	8	in	in	ADP
easat-4020	203	9	the	the	DET
easat-4020	203	10	number	number	NOUN
easat-4020	203	11	of	of	ADP
easat-4020	203	12	edge	edge	NOUN
easat-4020	203	13	colors	color	NOUN
easat-4020	203	14	causes	cause	VERB
easat-4020	203	15	the	the	DET
easat-4020	203	16	method	method	NOUN
easat-4020	203	17	’s	’s	PART
easat-4020	203	18	runtime	runtime	NOUN
easat-4020	203	19	to	to	PART
easat-4020	203	20	scale	scale	VERB
easat-4020	203	21	up	up	ADP
easat-4020	203	22	,	,	PUNCT
easat-4020	203	23	albeit	albeit	SCONJ
easat-4020	203	24	it	it	PRON
easat-4020	203	25	still	still	ADV
easat-4020	203	26	being	be	AUX
easat-4020	203	27	faster	fast	ADJ
easat-4020	203	28	than	than	ADP
easat-4020	203	29	the	the	DET
easat-4020	203	30	baselines	baseline	NOUN
easat-4020	203	31	.	.	PUNCT
easat-4020	204	1	second	second	ADJ
easat-4020	204	2	,	,	PUNCT
easat-4020	204	3	the	the	DET
easat-4020	204	4	method	method	NOUN
easat-4020	204	5	is	be	AUX
easat-4020	204	6	very	very	ADV
easat-4020	204	7	efficient	efficient	ADJ
easat-4020	204	8	for	for	ADP
easat-4020	204	9	a	a	DET
easat-4020	204	10	large	large	ADJ
easat-4020	204	11	graph	graph	NOUN
easat-4020	204	12	;	;	PUNCT
easat-4020	204	13	however	however	ADV
easat-4020	204	14	,	,	PUNCT
easat-4020	204	15	more	more	ADJ
easat-4020	204	16	improvement	improvement	NOUN
easat-4020	204	17	may	may	AUX
easat-4020	204	18	be	be	AUX
easat-4020	204	19	needed	need	VERB
easat-4020	204	20	for	for	ADP
easat-4020	204	21	applications	application	NOUN
easat-4020	204	22	,	,	PUNCT
easat-4020	204	23	where	where	SCONJ
easat-4020	204	24	the	the	DET
easat-4020	204	25	speed	speed	NOUN
easat-4020	204	26	of	of	ADP
easat-4020	204	27	computation	computation	NOUN
easat-4020	204	28	is	be	AUX
easat-4020	204	29	of	of	ADP
easat-4020	204	30	essence	essence	NOUN
easat-4020	204	31	.	.	PUNCT
easat-4020	205	1	9448	9448	NUM
easat-4020	205	2	edelweiss	edelweiss	PROPN
easat-4020	205	3	applied	apply	VERB
easat-4020	205	4	science	science	NOUN
easat-4020	205	5	and	and	CCONJ
easat-4020	205	6	technology	technology	NOUN
easat-4020	205	7	issn	issn	PROPN
easat-4020	205	8	:	:	PUNCT
easat-4020	205	9	2576	2576	NUM
easat-4020	205	10	-	-	SYM
easat-4020	205	11	8484	8484	NUM
easat-4020	205	12	vol	vol	NOUN
easat-4020	205	13	.	.	PROPN
easat-4020	205	14	8	8	NUM
easat-4020	205	15	,	,	PUNCT
easat-4020	205	16	no	no	INTJ
easat-4020	205	17	.	.	NOUN
easat-4020	206	1	6	6	NUM
easat-4020	206	2	:	:	SYM
easat-4020	206	3	9438	9438	NUM
easat-4020	206	4	-	-	SYM
easat-4020	206	5	9449	9449	NUM
easat-4020	206	6	,	,	PUNCT
easat-4020	206	7	2024	2024	NUM
easat-4020	206	8	doi	doi	NOUN
easat-4020	206	9	:	:	PUNCT
easat-4020	206	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	206	11	©	©	ADP
easat-4020	206	12	2024	2024	NUM
easat-4020	206	13	by	by	ADP
easat-4020	206	14	the	the	DET
easat-4020	206	15	author	author	NOUN
easat-4020	206	16	;	;	PUNCT
easat-4020	206	17	licensee	licensee	PROPN
easat-4020	206	18	learning	learning	PROPN
easat-4020	206	19	gate	gate	NOUN
easat-4020	206	20	thus	thus	ADV
easat-4020	206	21	,	,	PUNCT
easat-4020	206	22	the	the	DET
easat-4020	206	23	presented	present	VERB
easat-4020	206	24	approach	approach	NOUN
easat-4020	206	25	is	be	AUX
easat-4020	206	26	scalable	scalable	ADJ
easat-4020	206	27	and	and	CCONJ
easat-4020	206	28	accurate	accurate	ADJ
easat-4020	206	29	for	for	ADP
easat-4020	206	30	clustering	cluster	VERB
easat-4020	206	31	complex	complex	ADJ
easat-4020	206	32	graphs	graph	NOUN
easat-4020	206	33	and	and	CCONJ
easat-4020	206	34	hypergraphs	hypergraph	NOUN
easat-4020	206	35	.	.	PUNCT
easat-4020	207	1	the	the	DET
easat-4020	207	2	work	work	NOUN
easat-4020	207	3	shown	show	VERB
easat-4020	207	4	better	well	ADJ
easat-4020	207	5	performance	performance	NOUN
easat-4020	207	6	than	than	ADP
easat-4020	207	7	other	other	ADJ
easat-4020	207	8	algorithms	algorithm	NOUN
easat-4020	207	9	on	on	ADP
easat-4020	207	10	synthetic	synthetic	ADJ
easat-4020	207	11	and	and	CCONJ
easat-4020	207	12	real	real	ADJ
easat-4020	207	13	-	-	PUNCT
easat-4020	207	14	world	world	NOUN
easat-4020	207	15	databases	database	NOUN
easat-4020	207	16	with	with	ADP
easat-4020	207	17	regards	regard	NOUN
easat-4020	207	18	to	to	ADP
easat-4020	207	19	average	average	ADJ
easat-4020	207	20	clustering	clustering	ADJ
easat-4020	207	21	accuracy	accuracy	NOUN
easat-4020	207	22	,	,	PUNCT
easat-4020	207	23	conductance	conductance	NOUN
easat-4020	207	24	values	value	NOUN
easat-4020	207	25	and	and	CCONJ
easat-4020	207	26	scalability	scalability	NOUN
easat-4020	207	27	.	.	PUNCT
easat-4020	208	1	potential	potential	ADJ
easat-4020	208	2	improvements	improvement	NOUN
easat-4020	208	3	can	can	AUX
easat-4020	208	4	extend	extend	VERB
easat-4020	208	5	certain	certain	ADJ
easat-4020	208	6	benefits	benefit	NOUN
easat-4020	208	7	of	of	ADP
easat-4020	208	8	our	our	PRON
easat-4020	208	9	new	new	ADJ
easat-4020	208	10	method	method	NOUN
easat-4020	208	11	more	more	ADJ
easat-4020	208	12	to	to	PART
easat-4020	208	13	minimize	minimize	VERB
easat-4020	208	14	runtime	runtime	NOUN
easat-4020	208	15	for	for	ADP
easat-4020	208	16	very	very	ADV
easat-4020	208	17	largescale	largescale	ADJ
easat-4020	208	18	problems	problem	NOUN
easat-4020	208	19	and	and	CCONJ
easat-4020	208	20	real	real	ADJ
easat-4020	208	21	-	-	PUNCT
easat-4020	208	22	time	time	NOUN
easat-4020	208	23	applications	application	NOUN
easat-4020	208	24	.	.	PUNCT
easat-4020	209	1	the	the	DET
easat-4020	209	2	following	follow	VERB
easat-4020	209	3	abbreviations	abbreviation	NOUN
easat-4020	209	4	are	be	AUX
easat-4020	209	5	frequently	frequently	ADV
easat-4020	209	6	used	use	VERB
easat-4020	209	7	throughout	throughout	ADP
easat-4020	209	8	the	the	DET
easat-4020	209	9	paper	paper	NOUN
easat-4020	209	10	to	to	PART
easat-4020	209	11	refer	refer	VERB
easat-4020	209	12	to	to	ADP
easat-4020	209	13	algorithms	algorithm	NOUN
easat-4020	209	14	,	,	PUNCT
easat-4020	209	15	datasets	dataset	NOUN
easat-4020	209	16	,	,	PUNCT
easat-4020	209	17	and	and	CCONJ
easat-4020	209	18	evaluation	evaluation	NOUN
easat-4020	209	19	metrics	metric	NOUN
easat-4020	209	20	.	.	PUNCT
easat-4020	210	1	this	this	DET
easat-4020	210	2	table	table	NOUN
easat-4020	210	3	aims	aim	VERB
easat-4020	210	4	to	to	PART
easat-4020	210	5	improve	improve	VERB
easat-4020	210	6	readability	readability	NOUN
easat-4020	210	7	and	and	CCONJ
easat-4020	210	8	ensure	ensure	VERB
easat-4020	210	9	consistency	consistency	NOUN
easat-4020	210	10	in	in	ADP
easat-4020	210	11	terminology	terminology	NOUN
easat-4020	210	12	.	.	PUNCT
easat-4020	211	1	table	table	NOUN
easat-4020	211	2	7	7	NUM
easat-4020	211	3	.	.	PUNCT
easat-4020	212	1	nomenclature	nomenclature	NOUN
easat-4020	212	2	:	:	PUNCT
easat-4020	212	3	abbreviations	abbreviation	NOUN
easat-4020	212	4	.	.	PUNCT
easat-4020	213	1	abbreviation	abbreviation	NOUN
easat-4020	213	2	definition	definition	NOUN
easat-4020	213	3	sc	sc	PROPN
easat-4020	213	4	spectral	spectral	ADJ
easat-4020	213	5	clustering	clustering	NOUN
easat-4020	213	6	.	.	PUNCT
easat-4020	214	1	gp	gp	NOUN
easat-4020	214	2	greedy	greedy	ADJ
easat-4020	214	3	partitioning	partitioning	PROPN
easat-4020	214	4	.	.	PUNCT
easat-4020	215	1	dblp	dblp	VERB
easat-4020	215	2	digital	digital	PROPN
easat-4020	215	3	bibliography	bibliography	PROPN
easat-4020	215	4	&	&	CCONJ
easat-4020	215	5	library	library	PROPN
easat-4020	215	6	project	project	NOUN
easat-4020	215	7	.	.	PUNCT
easat-4020	216	1	nmi	nmi	PROPN
easat-4020	216	2	normalized	normalize	VERB
easat-4020	216	3	mutual	mutual	ADJ
easat-4020	216	4	information	information	NOUN
easat-4020	216	5	.	.	PUNCT
easat-4020	217	1	kcc	kcc	PROPN
easat-4020	217	2	k	k	ADJ
easat-4020	217	3	-	-	PUNCT
easat-4020	217	4	edge	edge	NOUN
easat-4020	217	5	colored	colored	ADJ
easat-4020	217	6	clustering	clustering	NOUN
easat-4020	217	7	.	.	PUNCT
easat-4020	218	1	4	4	X
easat-4020	218	2	.	.	X
easat-4020	218	3	conclusion	conclusion	NOUN
easat-4020	218	4	the	the	DET
easat-4020	218	5	proposed	propose	VERB
easat-4020	218	6	method	method	NOUN
easat-4020	218	7	for	for	ADP
easat-4020	218	8	clustering	cluster	VERB
easat-4020	218	9	k	k	ADJ
easat-4020	218	10	-	-	PUNCT
easat-4020	218	11	edge	edge	NOUN
easat-4020	218	12	-	-	PUNCT
easat-4020	218	13	colored	color	VERB
easat-4020	218	14	graphs	graph	NOUN
easat-4020	218	15	and	and	CCONJ
easat-4020	218	16	hypergraphs	hypergraph	NOUN
easat-4020	218	17	demonstrates	demonstrate	VERB
easat-4020	218	18	significant	significant	ADJ
easat-4020	218	19	improvements	improvement	NOUN
easat-4020	218	20	in	in	ADP
easat-4020	218	21	clustering	clustering	ADJ
easat-4020	218	22	accuracy	accuracy	NOUN
easat-4020	218	23	,	,	PUNCT
easat-4020	218	24	conductance	conductance	NOUN
easat-4020	218	25	,	,	PUNCT
easat-4020	218	26	and	and	CCONJ
easat-4020	218	27	scalability	scalability	NOUN
easat-4020	218	28	compared	compare	VERB
easat-4020	218	29	to	to	ADP
easat-4020	218	30	traditional	traditional	ADJ
easat-4020	218	31	algorithms	algorithm	NOUN
easat-4020	218	32	such	such	ADJ
easat-4020	218	33	as	as	ADP
easat-4020	218	34	spectral	spectral	ADJ
easat-4020	218	35	clustering	clustering	NOUN
easat-4020	218	36	and	and	CCONJ
easat-4020	218	37	greedy	greedy	ADJ
easat-4020	218	38	partitioning	partitioning	NOUN
easat-4020	218	39	.	.	PUNCT
easat-4020	219	1	experimental	experimental	ADJ
easat-4020	219	2	evaluations	evaluation	NOUN
easat-4020	219	3	on	on	ADP
easat-4020	219	4	both	both	CCONJ
easat-4020	219	5	synthetic	synthetic	ADJ
easat-4020	219	6	and	and	CCONJ
easat-4020	219	7	real	real	ADJ
easat-4020	219	8	-	-	PUNCT
easat-4020	219	9	world	world	NOUN
easat-4020	219	10	datasets	dataset	NOUN
easat-4020	219	11	validated	validate	VERB
easat-4020	219	12	the	the	DET
easat-4020	219	13	method	method	NOUN
easat-4020	219	14	's	's	PART
easat-4020	219	15	ability	ability	NOUN
easat-4020	219	16	to	to	PART
easat-4020	219	17	handle	handle	VERB
easat-4020	219	18	large	large	ADJ
easat-4020	219	19	,	,	PUNCT
easat-4020	219	20	complex	complex	ADJ
easat-4020	219	21	networks	network	NOUN
easat-4020	219	22	efficiently	efficiently	ADV
easat-4020	219	23	.	.	PUNCT
easat-4020	220	1	notably	notably	ADV
easat-4020	220	2	,	,	PUNCT
easat-4020	220	3	the	the	DET
easat-4020	220	4	approach	approach	NOUN
easat-4020	220	5	consistently	consistently	ADV
easat-4020	220	6	produced	produce	VERB
easat-4020	220	7	well	well	ADV
easat-4020	220	8	-	-	PUNCT
easat-4020	220	9	separated	separate	VERB
easat-4020	220	10	clusters	cluster	NOUN
easat-4020	220	11	with	with	ADP
easat-4020	220	12	lower	low	ADJ
easat-4020	220	13	conductance	conductance	NOUN
easat-4020	220	14	values	value	NOUN
easat-4020	220	15	,	,	PUNCT
easat-4020	220	16	highlighting	highlight	VERB
easat-4020	220	17	its	its	PRON
easat-4020	220	18	applicability	applicability	NOUN
easat-4020	220	19	to	to	ADP
easat-4020	220	20	tasks	task	NOUN
easat-4020	220	21	requiring	require	VERB
easat-4020	220	22	precise	precise	ADJ
easat-4020	220	23	group	group	NOUN
easat-4020	220	24	separations	separation	NOUN
easat-4020	220	25	,	,	PUNCT
easat-4020	220	26	such	such	ADJ
easat-4020	220	27	as	as	ADP
easat-4020	220	28	social	social	ADJ
easat-4020	220	29	network	network	NOUN
easat-4020	220	30	analysis	analysis	NOUN
easat-4020	220	31	and	and	CCONJ
easat-4020	220	32	citation	citation	NOUN
easat-4020	220	33	clustering	clustering	NOUN
easat-4020	220	34	.	.	PUNCT
easat-4020	221	1	the	the	DET
easat-4020	221	2	integration	integration	NOUN
easat-4020	221	3	of	of	ADP
easat-4020	221	4	submodular	submodular	ADJ
easat-4020	221	5	optimization	optimization	NOUN
easat-4020	221	6	,	,	PUNCT
easat-4020	221	7	spectral	spectral	ADJ
easat-4020	221	8	clustering	clustering	NOUN
easat-4020	221	9	,	,	PUNCT
easat-4020	221	10	and	and	CCONJ
easat-4020	221	11	hypergraph	hypergraph	VERB
easat-4020	221	12	partitioning	partitioning	NOUN
easat-4020	221	13	techniques	technique	NOUN
easat-4020	221	14	ensures	ensure	VERB
easat-4020	221	15	computational	computational	ADJ
easat-4020	221	16	efficiency	efficiency	NOUN
easat-4020	221	17	and	and	CCONJ
easat-4020	221	18	robustness	robustness	NOUN
easat-4020	221	19	across	across	ADP
easat-4020	221	20	various	various	ADJ
easat-4020	221	21	scenarios	scenario	NOUN
easat-4020	221	22	.	.	PUNCT
easat-4020	222	1	despite	despite	SCONJ
easat-4020	222	2	the	the	DET
easat-4020	222	3	method	method	NOUN
easat-4020	222	4	's	's	PART
easat-4020	222	5	strengths	strength	NOUN
easat-4020	222	6	,	,	PUNCT
easat-4020	222	7	a	a	DET
easat-4020	222	8	slight	slight	ADJ
easat-4020	222	9	increase	increase	NOUN
easat-4020	222	10	in	in	ADP
easat-4020	222	11	runtime	runtime	NOUN
easat-4020	222	12	with	with	ADP
easat-4020	222	13	higher	high	ADJ
easat-4020	222	14	edge	edge	NOUN
easat-4020	222	15	and	and	CCONJ
easat-4020	222	16	color	color	NOUN
easat-4020	222	17	densities	density	NOUN
easat-4020	222	18	suggests	suggest	VERB
easat-4020	222	19	a	a	DET
easat-4020	222	20	need	need	NOUN
easat-4020	222	21	for	for	ADP
easat-4020	222	22	further	further	ADJ
easat-4020	222	23	optimization	optimization	NOUN
easat-4020	222	24	for	for	ADP
easat-4020	222	25	real	real	ADJ
easat-4020	222	26	-	-	PUNCT
easat-4020	222	27	time	time	NOUN
easat-4020	222	28	applications	application	NOUN
easat-4020	222	29	.	.	PUNCT
easat-4020	223	1	future	future	ADJ
easat-4020	223	2	work	work	NOUN
easat-4020	223	3	could	could	AUX
easat-4020	223	4	focus	focus	VERB
easat-4020	223	5	on	on	ADP
easat-4020	223	6	enhancing	enhance	VERB
easat-4020	223	7	the	the	DET
easat-4020	223	8	algorithm	algorithm	NOUN
easat-4020	223	9	's	's	PART
easat-4020	223	10	efficiency	efficiency	NOUN
easat-4020	223	11	for	for	ADP
easat-4020	223	12	extremely	extremely	ADV
easat-4020	223	13	large	large	ADJ
easat-4020	223	14	-	-	PUNCT
easat-4020	223	15	scale	scale	NOUN
easat-4020	223	16	datasets	dataset	NOUN
easat-4020	223	17	and	and	CCONJ
easat-4020	223	18	extending	extend	VERB
easat-4020	223	19	its	its	PRON
easat-4020	223	20	applicability	applicability	NOUN
easat-4020	223	21	to	to	ADP
easat-4020	223	22	additional	additional	ADJ
easat-4020	223	23	domains	domain	NOUN
easat-4020	223	24	involving	involve	VERB
easat-4020	223	25	multi	multi	ADJ
easat-4020	223	26	-	-	ADJ
easat-4020	223	27	label	label	ADJ
easat-4020	223	28	graphs	graph	NOUN
easat-4020	223	29	and	and	CCONJ
easat-4020	223	30	hypergraphs	hypergraph	NOUN
easat-4020	223	31	.	.	PUNCT
easat-4020	224	1	overall	overall	ADV
easat-4020	224	2	,	,	PUNCT
easat-4020	224	3	the	the	DET
easat-4020	224	4	proposed	propose	VERB
easat-4020	224	5	method	method	NOUN
easat-4020	224	6	represents	represent	VERB
easat-4020	224	7	a	a	DET
easat-4020	224	8	meaningful	meaningful	ADJ
easat-4020	224	9	advancement	advancement	NOUN
easat-4020	224	10	in	in	ADP
easat-4020	224	11	hypergraph	hypergraph	NOUN
easat-4020	224	12	clustering	clustering	NOUN
easat-4020	224	13	,	,	PUNCT
easat-4020	224	14	offering	offer	VERB
easat-4020	224	15	a	a	DET
easat-4020	224	16	scalable	scalable	ADJ
easat-4020	224	17	,	,	PUNCT
easat-4020	224	18	accurate	accurate	ADJ
easat-4020	224	19	,	,	PUNCT
easat-4020	224	20	and	and	CCONJ
easat-4020	224	21	practical	practical	ADJ
easat-4020	224	22	solution	solution	NOUN
easat-4020	224	23	for	for	ADP
easat-4020	224	24	diverse	diverse	ADJ
easat-4020	224	25	applications	application	NOUN
easat-4020	224	26	in	in	ADP
easat-4020	224	27	network	network	NOUN
easat-4020	224	28	analysis	analysis	NOUN
easat-4020	224	29	and	and	CCONJ
easat-4020	224	30	data	datum	NOUN
easat-4020	224	31	organization	organization	NOUN
easat-4020	224	32	.	.	PUNCT
easat-4020	225	1	copyright	copyright	NOUN
easat-4020	225	2	:	:	PUNCT
easat-4020	225	3	©	©	PROPN
easat-4020	225	4	2024	2024	NUM
easat-4020	225	5	by	by	ADP
easat-4020	225	6	the	the	DET
easat-4020	225	7	authors	author	NOUN
easat-4020	225	8	.	.	PUNCT
easat-4020	226	1	this	this	DET
easat-4020	226	2	article	article	NOUN
easat-4020	226	3	is	be	AUX
easat-4020	226	4	an	an	DET
easat-4020	226	5	open	open	ADJ
easat-4020	226	6	access	access	NOUN
easat-4020	226	7	article	article	NOUN
easat-4020	226	8	distributed	distribute	VERB
easat-4020	226	9	under	under	ADP
easat-4020	226	10	the	the	DET
easat-4020	226	11	terms	term	NOUN
easat-4020	226	12	and	and	CCONJ
easat-4020	226	13	conditions	condition	NOUN
easat-4020	226	14	of	of	ADP
easat-4020	226	15	the	the	DET
easat-4020	226	16	creative	creative	ADJ
easat-4020	226	17	commons	common	NOUN
easat-4020	226	18	attribution	attribution	NOUN
easat-4020	226	19	(	(	PUNCT
easat-4020	226	20	cc	cc	NOUN
easat-4020	226	21	by	by	ADP
easat-4020	226	22	)	)	PUNCT
easat-4020	226	23	license	license	NOUN
easat-4020	226	24	(	(	PUNCT
easat-4020	226	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-4020	226	26	)	)	PUNCT
easat-4020	226	27	.	.	PUNCT
easat-4020	227	1	references	reference	NOUN
easat-4020	227	2	[	[	X
easat-4020	227	3	1	1	NUM
easat-4020	227	4	]	]	X
easat-4020	227	5	ageev	ageev	PROPN
easat-4020	227	6	,	,	PUNCT
easat-4020	227	7	a.	a.	PROPN
easat-4020	227	8	,	,	PUNCT
easat-4020	227	9	&	&	CCONJ
easat-4020	227	10	kononov	kononov	PROPN
easat-4020	227	11	,	,	PUNCT
easat-4020	227	12	a.	a.	NOUN
easat-4020	227	13	(	(	PUNCT
easat-4020	227	14	2014	2014	NUM
easat-4020	227	15	)	)	PUNCT
easat-4020	227	16	.	.	PUNCT
easat-4020	228	1	improved	improve	VERB
easat-4020	228	2	approximations	approximation	NOUN
easat-4020	228	3	for	for	ADP
easat-4020	228	4	the	the	DET
easat-4020	228	5	max	max	PROPN
easat-4020	228	6	k	k	PROPN
easat-4020	228	7	-	-	ADJ
easat-4020	228	8	colored	colored	ADJ
easat-4020	228	9	clustering	clustering	NOUN
easat-4020	228	10	problem	problem	NOUN
easat-4020	228	11	.	.	PUNCT
easat-4020	229	1	in	in	ADP
easat-4020	229	2	international	international	ADJ
easat-4020	229	3	workshop	workshop	NOUN
easat-4020	229	4	on	on	ADP
easat-4020	229	5	approximation	approximation	NOUN
easat-4020	229	6	and	and	CCONJ
easat-4020	229	7	online	online	ADJ
easat-4020	229	8	algorithms	algorithm	NOUN
easat-4020	229	9	(	(	PUNCT
easat-4020	229	10	pp	pp	ADJ
easat-4020	229	11	.	.	PUNCT
easat-4020	230	1	1	1	NUM
easat-4020	230	2	-	-	SYM
easat-4020	230	3	10	10	NUM
easat-4020	230	4	)	)	PUNCT
easat-4020	230	5	.	.	PUNCT
easat-4020	231	1	springer	springer	NOUN
easat-4020	231	2	.	.	PUNCT
easat-4020	232	1	[	[	X
easat-4020	232	2	2	2	NUM
easat-4020	232	3	]	]	SYM
easat-4020	232	4	ageev	ageev	PROPN
easat-4020	232	5	,	,	PUNCT
easat-4020	232	6	a.	a.	PROPN
easat-4020	232	7	,	,	PUNCT
easat-4020	232	8	&	&	CCONJ
easat-4020	232	9	kononov	kononov	PROPN
easat-4020	232	10	,	,	PUNCT
easat-4020	232	11	a.	a.	NOUN
easat-4020	232	12	(	(	PUNCT
easat-4020	232	13	2020	2020	NUM
easat-4020	232	14	)	)	PUNCT
easat-4020	232	15	.	.	PUNCT
easat-4020	233	1	a	a	DET
easat-4020	233	2	0.3622	0.3622	NUM
easat-4020	233	3	-	-	PUNCT
easat-4020	233	4	approximation	approximation	NOUN
easat-4020	233	5	algorithm	algorithm	NOUN
easat-4020	233	6	for	for	ADP
easat-4020	233	7	the	the	DET
easat-4020	233	8	maximum	maximum	ADJ
easat-4020	233	9	k	k	ADJ
easat-4020	233	10	-	-	PUNCT
easat-4020	233	11	edge	edge	NOUN
easat-4020	233	12	-	-	PUNCT
easat-4020	233	13	colored	colored	ADJ
easat-4020	233	14	clustering	clustering	NOUN
easat-4020	233	15	problem	problem	NOUN
easat-4020	233	16	.	.	PUNCT
easat-4020	234	1	in	in	ADP
easat-4020	234	2	international	international	ADJ
easat-4020	234	3	conference	conference	NOUN
easat-4020	234	4	on	on	ADP
easat-4020	234	5	mathematical	mathematical	ADJ
easat-4020	234	6	optimization	optimization	NOUN
easat-4020	234	7	theory	theory	NOUN
easat-4020	234	8	and	and	CCONJ
easat-4020	234	9	operations	operation	NOUN
easat-4020	234	10	research	research	NOUN
easat-4020	234	11	(	(	PUNCT
easat-4020	234	12	pp	pp	ADJ
easat-4020	234	13	.	.	PUNCT
easat-4020	234	14	3	3	NUM
easat-4020	234	15	-	-	SYM
easat-4020	234	16	15	15	NUM
easat-4020	234	17	)	)	PUNCT
easat-4020	234	18	.	.	PUNCT
easat-4020	235	1	springer	springer	NOUN
easat-4020	235	2	.	.	PUNCT
easat-4020	236	1	[	[	X
easat-4020	236	2	3	3	NUM
easat-4020	236	3	]	]	X
easat-4020	236	4	alhamdan	alhamdan	PROPN
easat-4020	236	5	,	,	PUNCT
easat-4020	236	6	y.	y.	PROPN
easat-4020	236	7	,	,	PUNCT
easat-4020	236	8	&	&	CCONJ
easat-4020	236	9	kononov	kononov	PROPN
easat-4020	236	10	,	,	PUNCT
easat-4020	236	11	a.	a.	NOUN
easat-4020	236	12	(	(	PUNCT
easat-4020	236	13	2019	2019	NUM
easat-4020	236	14	)	)	PUNCT
easat-4020	236	15	.	.	PUNCT
easat-4020	236	16	approximability	approximability	NOUN
easat-4020	236	17	and	and	CCONJ
easat-4020	236	18	inapproximability	inapproximability	NOUN
easat-4020	236	19	for	for	ADP
easat-4020	236	20	maximum	maximum	ADJ
easat-4020	236	21	k	k	ADJ
easat-4020	236	22	-	-	PUNCT
easat-4020	236	23	edge	edge	NOUN
easat-4020	236	24	-	-	PUNCT
easat-4020	236	25	colored	colored	ADJ
easat-4020	236	26	clustering	clustering	NOUN
easat-4020	236	27	problem	problem	NOUN
easat-4020	236	28	.	.	PUNCT
easat-4020	237	1	in	in	ADP
easat-4020	237	2	international	international	ADJ
easat-4020	237	3	computer	computer	NOUN
easat-4020	237	4	science	science	NOUN
easat-4020	237	5	symposium	symposium	NOUN
easat-4020	237	6	in	in	ADP
easat-4020	237	7	russia	russia	PROPN
easat-4020	237	8	(	(	PUNCT
easat-4020	237	9	pp	pp	ADJ
easat-4020	237	10	.	.	PUNCT
easat-4020	238	1	1	1	NUM
easat-4020	238	2	-	-	SYM
easat-4020	238	3	12	12	NUM
easat-4020	238	4	)	)	PUNCT
easat-4020	238	5	.	.	PUNCT
easat-4020	239	1	springer	springer	NOUN
easat-4020	239	2	.	.	PUNCT
easat-4020	240	1	[	[	X
easat-4020	240	2	4	4	NUM
easat-4020	240	3	]	]	X
easat-4020	240	4	amburg	amburg	PROPN
easat-4020	240	5	,	,	PUNCT
easat-4020	240	6	i.	i.	PROPN
easat-4020	240	7	,	,	PUNCT
easat-4020	240	8	veldt	veldt	PROPN
easat-4020	240	9	,	,	PUNCT
easat-4020	240	10	n.	n.	PROPN
easat-4020	240	11	,	,	PUNCT
easat-4020	240	12	&	&	CCONJ
easat-4020	240	13	benson	benson	PROPN
easat-4020	240	14	,	,	PUNCT
easat-4020	240	15	a.	a.	PROPN
easat-4020	240	16	r.	r.	PROPN
easat-4020	240	17	(	(	PUNCT
easat-4020	240	18	2020	2020	NUM
easat-4020	240	19	)	)	PUNCT
easat-4020	240	20	.	.	PUNCT
easat-4020	241	1	clustering	cluster	VERB
easat-4020	241	2	in	in	ADP
easat-4020	241	3	graphs	graph	NOUN
easat-4020	241	4	and	and	CCONJ
easat-4020	241	5	hypergraphs	hypergraph	NOUN
easat-4020	241	6	with	with	ADP
easat-4020	241	7	categorical	categorical	ADJ
easat-4020	241	8	edge	edge	NOUN
easat-4020	241	9	labels	label	NOUN
easat-4020	241	10	.	.	PUNCT
easat-4020	242	1	in	in	ADP
easat-4020	242	2	proceedings	proceeding	NOUN
easat-4020	242	3	of	of	ADP
easat-4020	242	4	the	the	DET
easat-4020	242	5	web	web	NOUN
easat-4020	242	6	conference	conference	NOUN
easat-4020	242	7	2020	2020	NUM
easat-4020	242	8	(	(	PUNCT
easat-4020	242	9	pp	pp	ADJ
easat-4020	242	10	.	.	PUNCT
easat-4020	243	1	706	706	NUM
easat-4020	243	2	-	-	SYM
easat-4020	243	3	717	717	NUM
easat-4020	243	4	)	)	PUNCT
easat-4020	243	5	.	.	PUNCT
easat-4020	244	1	[	[	X
easat-4020	244	2	5	5	NUM
easat-4020	244	3	]	]	X
easat-4020	244	4	amburg	amburg	PROPN
easat-4020	244	5	,	,	PUNCT
easat-4020	244	6	i.	i.	PROPN
easat-4020	244	7	,	,	PUNCT
easat-4020	244	8	veldt	veldt	PROPN
easat-4020	244	9	,	,	PUNCT
easat-4020	244	10	n.	n.	PROPN
easat-4020	244	11	,	,	PUNCT
easat-4020	244	12	&	&	CCONJ
easat-4020	244	13	benson	benson	PROPN
easat-4020	244	14	,	,	PUNCT
easat-4020	244	15	a.	a.	PROPN
easat-4020	244	16	r.	r.	PROPN
easat-4020	244	17	(	(	PUNCT
easat-4020	244	18	2022	2022	NUM
easat-4020	244	19	)	)	PUNCT
easat-4020	244	20	.	.	PUNCT
easat-4020	245	1	diverse	diverse	VERB
easat-4020	245	2	and	and	CCONJ
easat-4020	245	3	experienced	experienced	ADJ
easat-4020	245	4	group	group	NOUN
easat-4020	245	5	discovery	discovery	NOUN
easat-4020	245	6	via	via	ADP
easat-4020	245	7	hypergraph	hypergraph	NOUN
easat-4020	245	8	clustering	clustering	NOUN
easat-4020	245	9	.	.	PUNCT
easat-4020	246	1	in	in	ADP
easat-4020	246	2	proceedings	proceeding	NOUN
easat-4020	246	3	of	of	ADP
easat-4020	246	4	the	the	DET
easat-4020	246	5	2022	2022	NUM
easat-4020	246	6	siam	siam	PROPN
easat-4020	246	7	international	international	ADJ
easat-4020	246	8	conference	conference	NOUN
easat-4020	246	9	on	on	ADP
easat-4020	246	10	data	datum	NOUN
easat-4020	246	11	mining	mining	NOUN
easat-4020	246	12	(	(	PUNCT
easat-4020	246	13	sdm	sdm	PROPN
easat-4020	246	14	'	'	NUM
easat-4020	246	15	22	22	NUM
easat-4020	246	16	)	)	PUNCT
easat-4020	246	17	(	(	PUNCT
easat-4020	246	18	pp	pp	X
easat-4020	246	19	.	.	PUNCT
easat-4020	247	1	145	145	NUM
easat-4020	247	2	-	-	SYM
easat-4020	247	3	153	153	NUM
easat-4020	247	4	)	)	PUNCT
easat-4020	247	5	.	.	PUNCT
easat-4020	248	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-4020	248	2	9449	9449	NUM
easat-4020	248	3	edelweiss	edelweiss	PROPN
easat-4020	248	4	applied	apply	VERB
easat-4020	248	5	science	science	NOUN
easat-4020	248	6	and	and	CCONJ
easat-4020	248	7	technology	technology	NOUN
easat-4020	248	8	issn	issn	PROPN
easat-4020	248	9	:	:	PUNCT
easat-4020	248	10	2576	2576	NUM
easat-4020	248	11	-	-	SYM
easat-4020	248	12	8484	8484	NUM
easat-4020	248	13	vol	vol	NOUN
easat-4020	248	14	.	.	PROPN
easat-4020	248	15	8	8	NUM
easat-4020	248	16	,	,	PUNCT
easat-4020	248	17	no	no	INTJ
easat-4020	248	18	.	.	NOUN
easat-4020	249	1	6	6	NUM
easat-4020	249	2	:	:	SYM
easat-4020	249	3	9438	9438	NUM
easat-4020	249	4	-	-	SYM
easat-4020	249	5	9449	9449	NUM
easat-4020	249	6	,	,	PUNCT
easat-4020	249	7	2024	2024	NUM
easat-4020	249	8	doi	doi	NOUN
easat-4020	249	9	:	:	PUNCT
easat-4020	249	10	10.55214/25768484.v8i6.4020	10.55214/25768484.v8i6.4020	NUM
easat-4020	249	11	©	©	ADP
easat-4020	249	12	2024	2024	NUM
easat-4020	249	13	by	by	ADP
easat-4020	249	14	the	the	DET
easat-4020	249	15	author	author	NOUN
easat-4020	249	16	;	;	PUNCT
easat-4020	249	17	licensee	licensee	PROPN
easat-4020	249	18	learning	learning	NOUN
easat-4020	249	19	gate	gate	NOUN
easat-4020	250	1	[	[	X
easat-4020	250	2	6	6	NUM
easat-4020	250	3	]	]	PUNCT
easat-4020	250	4	anava	anava	NOUN
easat-4020	250	5	,	,	PUNCT
easat-4020	250	6	y.	y.	PROPN
easat-4020	250	7	,	,	PUNCT
easat-4020	250	8	&	&	CCONJ
easat-4020	250	9	gonen	gonen	PROPN
easat-4020	250	10	,	,	PUNCT
easat-4020	250	11	i.	i.	PROPN
easat-4020	250	12	(	(	PUNCT
easat-4020	250	13	2015	2015	NUM
easat-4020	250	14	)	)	PUNCT
easat-4020	250	15	.	.	PUNCT
easat-4020	251	1	improved	improve	VERB
easat-4020	251	2	theoretical	theoretical	ADJ
easat-4020	251	3	and	and	CCONJ
easat-4020	251	4	practical	practical	ADJ
easat-4020	251	5	guarantees	guarantee	NOUN
easat-4020	251	6	for	for	ADP
easat-4020	251	7	chromatic	chromatic	ADJ
easat-4020	251	8	correlation	correlation	NOUN
easat-4020	251	9	clustering	clustering	NOUN
easat-4020	251	10	.	.	PUNCT
easat-4020	252	1	proceedings	proceeding	NOUN
easat-4020	252	2	of	of	ADP
easat-4020	252	3	the	the	DET
easat-4020	252	4	24th	24th	ADJ
easat-4020	252	5	international	international	ADJ
easat-4020	252	6	conference	conference	NOUN
easat-4020	252	7	on	on	ADP
easat-4020	252	8	world	world	NOUN
easat-4020	252	9	wide	wide	ADJ
easat-4020	252	10	web	web	NOUN
easat-4020	252	11	(	(	PUNCT
easat-4020	252	12	www	www	NOUN
easat-4020	252	13	'	'	NUM
easat-4020	252	14	15	15	NUM
easat-4020	252	15	)	)	PUNCT
easat-4020	252	16	,	,	PUNCT
easat-4020	252	17	55	55	NUM
easat-4020	252	18	-	-	SYM
easat-4020	252	19	65	65	NUM
easat-4020	252	20	.	.	PUNCT
easat-4020	252	21	republic	republic	PROPN
easat-4020	252	22	and	and	CCONJ
easat-4020	252	23	canton	canton	PROPN
easat-4020	252	24	of	of	ADP
easat-4020	252	25	geneva	geneva	PROPN
easat-4020	252	26	,	,	PUNCT
easat-4020	252	27	switzerland	switzerland	PROPN
easat-4020	252	28	:	:	PUNCT
easat-4020	252	29	international	international	ADJ
easat-4020	252	30	world	world	NOUN
easat-4020	252	31	wide	wide	ADJ
easat-4020	252	32	web	web	NOUN
easat-4020	252	33	conferences	conference	NOUN
easat-4020	252	34	steering	steering	NOUN
easat-4020	252	35	committee	committee	NOUN
easat-4020	252	36	.	.	PUNCT
easat-4020	253	1	[	[	X
easat-4020	253	2	7	7	NUM
easat-4020	253	3	]	]	X
easat-4020	253	4	angel	angel	NOUN
easat-4020	253	5	,	,	PUNCT
easat-4020	253	6	e.	e.	PROPN
easat-4020	253	7	,	,	PUNCT
easat-4020	253	8	bampis	bampi	VERB
easat-4020	253	9	,	,	PUNCT
easat-4020	253	10	e.	e.	PROPN
easat-4020	253	11	,	,	PUNCT
easat-4020	253	12	kononov	kononov	PROPN
easat-4020	253	13	,	,	PUNCT
easat-4020	253	14	a.	a.	NOUN
easat-4020	253	15	,	,	PUNCT
easat-4020	253	16	paparas	paparas	NOUN
easat-4020	253	17	,	,	PUNCT
easat-4020	253	18	d.	d.	PROPN
easat-4020	253	19	,	,	PUNCT
easat-4020	253	20	pountourakis	pountourakis	PROPN
easat-4020	253	21	,	,	PUNCT
easat-4020	253	22	e.	e.	PROPN
easat-4020	253	23	,	,	PUNCT
easat-4020	253	24	&	&	CCONJ
easat-4020	253	25	zissimopoulos	zissimopoulos	PROPN
easat-4020	253	26	,	,	PUNCT
easat-4020	253	27	v.	v.	PROPN
easat-4020	253	28	(	(	PUNCT
easat-4020	253	29	2016	2016	NUM
easat-4020	253	30	)	)	PUNCT
easat-4020	253	31	.	.	PUNCT
easat-4020	254	1	clustering	cluster	VERB
easat-4020	254	2	on	on	ADP
easat-4020	254	3	k	k	ADJ
easat-4020	254	4	-	-	ADJ
easat-4020	254	5	edgecolored	edgecolored	ADJ
easat-4020	254	6	graphs	graph	NOUN
easat-4020	254	7	.	.	PUNCT
easat-4020	255	1	discrete	discrete	ADJ
easat-4020	255	2	applied	applied	ADJ
easat-4020	255	3	mathematics	mathematic	NOUN
easat-4020	255	4	,	,	PUNCT
easat-4020	255	5	211	211	NUM
easat-4020	255	6	,	,	PUNCT
easat-4020	255	7	15	15	NUM
easat-4020	255	8	-	-	SYM
easat-4020	255	9	22	22	NUM
easat-4020	255	10	.	.	PUNCT
easat-4020	256	1	[	[	X
easat-4020	256	2	8	8	NUM
easat-4020	256	3	]	]	PUNCT
easat-4020	256	4	austrin	austrin	NOUN
easat-4020	256	5	,	,	PUNCT
easat-4020	256	6	p.	p.	PROPN
easat-4020	256	7	,	,	PUNCT
easat-4020	256	8	khot	khot	PROPN
easat-4020	256	9	,	,	PUNCT
easat-4020	256	10	s.	s.	PROPN
easat-4020	256	11	,	,	PUNCT
easat-4020	256	12	&	&	CCONJ
easat-4020	256	13	safra	safra	PROPN
easat-4020	256	14	,	,	PUNCT
easat-4020	256	15	m.	m.	NOUN
easat-4020	256	16	(	(	PUNCT
easat-4020	256	17	2011	2011	NUM
easat-4020	256	18	)	)	PUNCT
easat-4020	256	19	.	.	PUNCT
easat-4020	257	1	inapproximability	inapproximability	NOUN
easat-4020	257	2	of	of	ADP
easat-4020	257	3	vertex	vertex	NOUN
easat-4020	257	4	cover	cover	NOUN
easat-4020	257	5	and	and	CCONJ
easat-4020	257	6	independent	independent	ADJ
easat-4020	257	7	set	set	NOUN
easat-4020	257	8	in	in	ADP
easat-4020	257	9	bounded	bounded	ADJ
easat-4020	257	10	degree	degree	NOUN
easat-4020	257	11	graphs	graph	NOUN
easat-4020	257	12	.	.	PUNCT
easat-4020	258	1	theory	theory	NOUN
easat-4020	258	2	of	of	ADP
easat-4020	258	3	computing	computing	NOUN
easat-4020	258	4	,	,	PUNCT
easat-4020	258	5	7(1	7(1	NUM
easat-4020	258	6	)	)	PUNCT
easat-4020	258	7	,	,	PUNCT
easat-4020	258	8	27	27	NUM
easat-4020	258	9	-	-	SYM
easat-4020	258	10	43	43	NUM
easat-4020	258	11	.	.	PUNCT
easat-4020	259	1	[	[	X
easat-4020	259	2	9	9	NUM
easat-4020	259	3	]	]	X
easat-4020	259	4	beideman	beideman	NOUN
easat-4020	259	5	,	,	PUNCT
easat-4020	259	6	c.	c.	NOUN
easat-4020	259	7	,	,	PUNCT
easat-4020	259	8	chandrasekaran	chandrasekaran	VERB
easat-4020	259	9	,	,	PUNCT
easat-4020	259	10	k.	k.	PROPN
easat-4020	259	11	,	,	PUNCT
easat-4020	259	12	&	&	CCONJ
easat-4020	259	13	wang	wang	PROPN
easat-4020	259	14	,	,	PUNCT
easat-4020	259	15	w.	w.	PROPN
easat-4020	259	16	(	(	PUNCT
easat-4020	259	17	2022	2022	NUM
easat-4020	259	18	)	)	PUNCT
easat-4020	259	19	.	.	PUNCT
easat-4020	260	1	deterministic	deterministic	ADJ
easat-4020	260	2	enumeration	enumeration	NOUN
easat-4020	260	3	of	of	ADP
easat-4020	260	4	all	all	DET
easat-4020	260	5	minimum	minimum	ADJ
easat-4020	260	6	cut	cut	NOUN
easat-4020	260	7	-	-	PUNCT
easat-4020	260	8	sets	set	NOUN
easat-4020	260	9	and	and	CCONJ
easat-4020	260	10	kcut	kcut	VERB
easat-4020	260	11	-	-	PUNCT
easat-4020	260	12	sets	set	NOUN
easat-4020	260	13	in	in	ADP
easat-4020	260	14	hypergraphs	hypergraph	NOUN
easat-4020	260	15	for	for	ADP
easat-4020	260	16	fixed	fix	VERB
easat-4020	260	17	k.	k.	PROPN
easat-4020	260	18	in	in	ADP
easat-4020	260	19	symposium	symposium	NOUN
easat-4020	260	20	on	on	ADP
easat-4020	260	21	discrete	discrete	ADJ
easat-4020	260	22	algorithms	algorithm	NOUN
easat-4020	260	23	(	(	PUNCT
easat-4020	260	24	soda	soda	NOUN
easat-4020	260	25	)	)	PUNCT
easat-4020	260	26	,	,	PUNCT
easat-4020	260	27	1	1	X
easat-4020	260	28	.	.	PUNCT
easat-4020	261	1	[	[	X
easat-4020	261	2	10	10	NUM
easat-4020	261	3	]	]	X
easat-4020	261	4	bonchi	bonchi	NOUN
easat-4020	261	5	,	,	PUNCT
easat-4020	261	6	f.	f.	PROPN
easat-4020	261	7	,	,	PUNCT
easat-4020	261	8	gionis	gionis	PROPN
easat-4020	261	9	,	,	PUNCT
easat-4020	261	10	a.	a.	NOUN
easat-4020	261	11	,	,	PUNCT
easat-4020	261	12	gullo	gullo	PROPN
easat-4020	261	13	,	,	PUNCT
easat-4020	261	14	f.	f.	PROPN
easat-4020	261	15	,	,	PUNCT
easat-4020	261	16	tsourakakis	tsourakakis	PROPN
easat-4020	261	17	,	,	PUNCT
easat-4020	261	18	c.	c.	PROPN
easat-4020	261	19	e.	e.	PROPN
easat-4020	261	20	,	,	PUNCT
easat-4020	261	21	&	&	CCONJ
easat-4020	261	22	ukkonen	ukkonen	PROPN
easat-4020	261	23	,	,	PUNCT
easat-4020	261	24	a.	a.	NOUN
easat-4020	261	25	(	(	PUNCT
easat-4020	261	26	2015	2015	NUM
easat-4020	261	27	)	)	PUNCT
easat-4020	261	28	.	.	PUNCT
easat-4020	262	1	chromatic	chromatic	ADJ
easat-4020	262	2	correlation	correlation	NOUN
easat-4020	262	3	clustering	clustering	NOUN
easat-4020	262	4	.	.	PUNCT
easat-4020	263	1	acm	acm	NOUN
easat-4020	263	2	transactions	transaction	NOUN
easat-4020	263	3	on	on	ADP
easat-4020	263	4	knowledge	knowledge	NOUN
easat-4020	263	5	discovery	discovery	NOUN
easat-4020	263	6	from	from	ADP
easat-4020	263	7	data	data	PROPN
easat-4020	263	8	,	,	PUNCT
easat-4020	263	9	9(4	9(4	NUM
easat-4020	263	10	)	)	PUNCT
easat-4020	263	11	,	,	PUNCT
easat-4020	263	12	34:1	34:1	NUM
easat-4020	263	13	-	-	SYM
easat-4020	263	14	34:24	34:24	NUM
easat-4020	263	15	.	.	PUNCT
easat-4020	264	1	[	[	X
easat-4020	264	2	11	11	NUM
easat-4020	264	3	]	]	X
easat-4020	264	4	chan	chan	PROPN
easat-4020	264	5	,	,	PUNCT
easat-4020	264	6	t.	t.	PROPN
easat-4020	264	7	,	,	PUNCT
easat-4020	264	8	louis	louis	PROPN
easat-4020	264	9	,	,	PUNCT
easat-4020	264	10	a.	a.	NOUN
easat-4020	264	11	,	,	PUNCT
easat-4020	264	12	tang	tang	PROPN
easat-4020	264	13	,	,	PUNCT
easat-4020	264	14	z.	z.	PROPN
easat-4020	264	15	g.	g.	PROPN
easat-4020	264	16	,	,	PUNCT
easat-4020	264	17	&	&	CCONJ
easat-4020	264	18	zhang	zhang	PROPN
easat-4020	264	19	,	,	PUNCT
easat-4020	264	20	c.	c.	PROPN
easat-4020	264	21	(	(	PUNCT
easat-4020	264	22	2018	2018	NUM
easat-4020	264	23	)	)	PUNCT
easat-4020	264	24	.	.	PUNCT
easat-4020	265	1	spectral	spectral	ADJ
easat-4020	265	2	properties	property	NOUN
easat-4020	265	3	of	of	ADP
easat-4020	265	4	hypergraph	hypergraph	NOUN
easat-4020	265	5	laplacian	laplacian	NOUN
easat-4020	265	6	and	and	CCONJ
easat-4020	265	7	approximation	approximation	NOUN
easat-4020	265	8	algorithms	algorithm	NOUN
easat-4020	265	9	.	.	PUNCT
easat-4020	266	1	journal	journal	NOUN
easat-4020	266	2	of	of	ADP
easat-4020	266	3	the	the	DET
easat-4020	266	4	acm	acm	PROPN
easat-4020	266	5	,	,	PUNCT
easat-4020	266	6	65(3	65(3	NUM
easat-4020	266	7	)	)	PUNCT
easat-4020	266	8	,	,	PUNCT
easat-4020	266	9	1	1	NUM
easat-4020	266	10	-	-	SYM
easat-4020	266	11	48	48	NUM
easat-4020	266	12	.	.	PUNCT
easat-4020	267	1	[	[	X
easat-4020	267	2	12	12	NUM
easat-4020	267	3	]	]	PUNCT
easat-4020	267	4	chandrasekaran	chandrasekaran	VERB
easat-4020	267	5	,	,	PUNCT
easat-4020	267	6	k.	k.	PROPN
easat-4020	267	7	,	,	PUNCT
easat-4020	267	8	&	&	CCONJ
easat-4020	267	9	chekuri	chekuri	PROPN
easat-4020	267	10	,	,	PUNCT
easat-4020	267	11	c.	c.	PROPN
easat-4020	267	12	(	(	PUNCT
easat-4020	267	13	2021	2021	NUM
easat-4020	267	14	)	)	PUNCT
easat-4020	267	15	.	.	PUNCT
easat-4020	268	1	min	min	PROPN
easat-4020	268	2	-	-	ADJ
easat-4020	268	3	max	max	ADJ
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easat-4020	268	5	of	of	ADP
easat-4020	268	6	hypergraphs	hypergraph	NOUN
easat-4020	268	7	and	and	CCONJ
easat-4020	268	8	symmetric	symmetric	ADJ
easat-4020	268	9	submodular	submodular	ADJ
easat-4020	268	10	functions	function	NOUN
easat-4020	268	11	.	.	PUNCT
easat-4020	269	1	in	in	ADP
easat-4020	269	2	proceedings	proceeding	NOUN
easat-4020	269	3	of	of	ADP
easat-4020	269	4	the	the	DET
easat-4020	269	5	2021	2021	NUM
easat-4020	269	6	acm	acm	NOUN
easat-4020	269	7	-	-	PUNCT
easat-4020	269	8	siam	siam	NOUN
easat-4020	269	9	symposium	symposium	NOUN
easat-4020	269	10	on	on	ADP
easat-4020	269	11	discrete	discrete	ADJ
easat-4020	269	12	algorithms	algorithm	NOUN
easat-4020	269	13	(	(	PUNCT
easat-4020	269	14	soda	soda	NOUN
easat-4020	269	15	)	)	PUNCT
easat-4020	269	16	(	(	PUNCT
easat-4020	269	17	pp	pp	ADV
easat-4020	269	18	.	.	PUNCT
easat-4020	270	1	1026	1026	NUM
easat-4020	270	2	-	-	SYM
easat-4020	270	3	1038	1038	NUM
easat-4020	270	4	)	)	PUNCT
easat-4020	270	5	.	.	PUNCT
easat-4020	271	1	siam	siam	PROPN
easat-4020	271	2	.	.	PUNCT
easat-4020	272	1	[	[	X
easat-4020	272	2	13	13	NUM
easat-4020	272	3	]	]	PUNCT
easat-4020	272	4	chandrasekaran	chandrasekaran	VERB
easat-4020	272	5	,	,	PUNCT
easat-4020	272	6	k.	k.	PROPN
easat-4020	272	7	,	,	PUNCT
easat-4020	272	8	&	&	CCONJ
easat-4020	272	9	chekuri	chekuri	PROPN
easat-4020	272	10	,	,	PUNCT
easat-4020	272	11	c.	c.	PROPN
easat-4020	272	12	(	(	PUNCT
easat-4020	272	13	2022	2022	NUM
easat-4020	272	14	)	)	PUNCT
easat-4020	272	15	.	.	PUNCT
easat-4020	272	16	hypergraph	hypergraph	VERB
easat-4020	272	17	k	k	NOUN
easat-4020	272	18	-	-	NOUN
easat-4020	272	19	cut	cut	NOUN
easat-4020	272	20	for	for	ADP
easat-4020	272	21	fixed	fix	VERB
easat-4020	272	22	k	k	PROPN
easat-4020	272	23	in	in	ADP
easat-4020	272	24	deterministic	deterministic	ADJ
easat-4020	272	25	polynomial	polynomial	ADJ
easat-4020	272	26	time	time	NOUN
easat-4020	272	27	.	.	PUNCT
easat-4020	273	1	mathematics	mathematic	NOUN
easat-4020	273	2	of	of	ADP
easat-4020	273	3	operations	operation	NOUN
easat-4020	273	4	research	research	NOUN
easat-4020	273	5	.	.	PUNCT
easat-4020	274	1	https://doi.org/10.1287/moor.2021.1250	https://doi.org/10.1287/moor.2021.1250	NOUN
easat-4020	275	1	[	[	X
easat-4020	275	2	14	14	NUM
easat-4020	275	3	]	]	X
easat-4020	275	4	chekuri	chekuri	PROPN
easat-4020	275	5	,	,	PUNCT
easat-4020	275	6	c.	c.	PROPN
easat-4020	275	7	,	,	PUNCT
easat-4020	275	8	&	&	CCONJ
easat-4020	275	9	ene	ene	PROPN
easat-4020	275	10	,	,	PUNCT
easat-4020	275	11	a.	a.	NOUN
easat-4020	275	12	(	(	PUNCT
easat-4020	275	13	2011	2011	NUM
easat-4020	275	14	)	)	PUNCT
easat-4020	275	15	.	.	PUNCT
easat-4020	276	1	approximation	approximation	NOUN
easat-4020	276	2	algorithms	algorithm	NOUN
easat-4020	276	3	for	for	ADP
easat-4020	276	4	submodular	submodular	ADJ
easat-4020	276	5	multiway	multiway	NOUN
easat-4020	276	6	partition	partition	NOUN
easat-4020	276	7	.	.	PUNCT
easat-4020	277	1	in	in	ADP
easat-4020	277	2	2011	2011	NUM
easat-4020	277	3	ieee	ieee	NOUN
easat-4020	277	4	52nd	52nd	ADJ
easat-4020	277	5	annual	annual	ADJ
easat-4020	277	6	symposium	symposium	NOUN
easat-4020	277	7	on	on	ADP
easat-4020	277	8	foundations	foundation	NOUN
easat-4020	277	9	of	of	ADP
easat-4020	277	10	computer	computer	NOUN
easat-4020	277	11	science	science	NOUN
easat-4020	277	12	(	(	PUNCT
easat-4020	277	13	pp	pp	PROPN
easat-4020	277	14	.	.	PUNCT
easat-4020	278	1	807	807	NUM
easat-4020	278	2	-	-	SYM
easat-4020	278	3	816	816	NUM
easat-4020	278	4	)	)	PUNCT
easat-4020	278	5	.	.	PUNCT
easat-4020	279	1	ieee	ieee	PROPN
easat-4020	279	2	.	.	PUNCT
easat-4020	280	1	[	[	X
easat-4020	280	2	15	15	NUM
easat-4020	280	3	]	]	X
easat-4020	280	4	chekuri	chekuri	PROPN
easat-4020	280	5	,	,	PUNCT
easat-4020	280	6	c.	c.	PROPN
easat-4020	280	7	,	,	PUNCT
easat-4020	280	8	&	&	CCONJ
easat-4020	280	9	ene	ene	PROPN
easat-4020	280	10	,	,	PUNCT
easat-4020	280	11	a.	a.	NOUN
easat-4020	280	12	(	(	PUNCT
easat-4020	280	13	2011	2011	NUM
easat-4020	280	14	)	)	PUNCT
easat-4020	280	15	.	.	PUNCT
easat-4020	281	1	submodular	submodular	ADJ
easat-4020	281	2	cost	cost	NOUN
easat-4020	281	3	allocation	allocation	NOUN
easat-4020	281	4	problem	problem	NOUN
easat-4020	281	5	and	and	CCONJ
easat-4020	281	6	applications	application	NOUN
easat-4020	281	7	.	.	PUNCT
easat-4020	282	1	in	in	ADP
easat-4020	282	2	international	international	ADJ
easat-4020	282	3	colloquium	colloquium	NOUN
easat-4020	282	4	on	on	ADP
easat-4020	282	5	automata	automata	NOUN
easat-4020	282	6	,	,	PUNCT
easat-4020	282	7	languages	language	NOUN
easat-4020	282	8	,	,	PUNCT
easat-4020	282	9	and	and	CCONJ
easat-4020	282	10	programming	programming	NOUN
easat-4020	282	11	(	(	PUNCT
easat-4020	282	12	pp	pp	ADJ
easat-4020	282	13	.	.	PUNCT
easat-4020	282	14	354	354	NUM
easat-4020	282	15	-	-	SYM
easat-4020	282	16	366	366	NUM
easat-4020	282	17	)	)	PUNCT
easat-4020	282	18	.	.	PUNCT
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easat-4020	283	2	.	.	PUNCT
easat-4020	284	1	[	[	X
easat-4020	284	2	16	16	NUM
easat-4020	284	3	]	]	X
easat-4020	284	4	chekuri	chekuri	PROPN
easat-4020	284	5	,	,	PUNCT
easat-4020	284	6	c.	c.	PROPN
easat-4020	284	7	,	,	PUNCT
easat-4020	284	8	&	&	CCONJ
easat-4020	284	9	madan	madan	PROPN
easat-4020	284	10	,	,	PUNCT
easat-4020	284	11	v.	v.	PROPN
easat-4020	284	12	(	(	PUNCT
easat-4020	284	13	2016	2016	NUM
easat-4020	284	14	)	)	PUNCT
easat-4020	284	15	.	.	PUNCT
easat-4020	285	1	simple	simple	ADJ
easat-4020	285	2	and	and	CCONJ
easat-4020	285	3	fast	fast	ADV
easat-4020	285	4	rounding	round	VERB
easat-4020	285	5	algorithms	algorithm	NOUN
easat-4020	285	6	for	for	ADP
easat-4020	285	7	directed	direct	VERB
easat-4020	285	8	and	and	CCONJ
easat-4020	285	9	node	node	NOUN
easat-4020	285	10	-	-	PUNCT
easat-4020	285	11	weighted	weight	VERB
easat-4020	285	12	multiway	multiway	NOUN
easat-4020	285	13	cut	cut	NOUN
easat-4020	285	14	.	.	PUNCT
easat-4020	286	1	in	in	ADP
easat-4020	286	2	proceedings	proceeding	NOUN
easat-4020	286	3	of	of	ADP
easat-4020	286	4	the	the	DET
easat-4020	286	5	twenty	twenty	NUM
easat-4020	286	6	-	-	PUNCT
easat-4020	286	7	seventh	seventh	ADJ
easat-4020	286	8	annual	annual	ADJ
easat-4020	286	9	acm	acm	NOUN
easat-4020	286	10	-	-	PUNCT
easat-4020	286	11	siam	siam	NOUN
easat-4020	286	12	symposium	symposium	NOUN
easat-4020	286	13	on	on	ADP
easat-4020	286	14	discrete	discrete	ADJ
easat-4020	286	15	algorithms	algorithm	NOUN
easat-4020	286	16	(	(	PUNCT
easat-4020	286	17	pp	pp	ADJ
easat-4020	286	18	.	.	PUNCT
easat-4020	286	19	797	797	NUM
easat-4020	286	20	-	-	SYM
easat-4020	286	21	807	807	NUM
easat-4020	286	22	)	)	PUNCT
easat-4020	286	23	.	.	PUNCT
easat-4020	287	1	siam	siam	PROPN
easat-4020	287	2	.	.	PUNCT
easat-4020	288	1	[	[	X
easat-4020	288	2	17	17	NUM
easat-4020	288	3	]	]	SYM
easat-4020	288	4	ene	ene	PROPN
easat-4020	288	5	,	,	PUNCT
easat-4020	288	6	a.	a.	PROPN
easat-4020	288	7	,	,	PUNCT
easat-4020	288	8	vondrak	vondrak	PROPN
easat-4020	288	9	,	,	PUNCT
easat-4020	288	10	j.	j.	PROPN
easat-4020	288	11	,	,	PUNCT
easat-4020	288	12	&	&	CCONJ
easat-4020	288	13	wu	wu	PROPN
easat-4020	288	14	,	,	PUNCT
easat-4020	288	15	y.	y.	PROPN
easat-4020	288	16	(	(	PUNCT
easat-4020	288	17	2013	2013	NUM
easat-4020	288	18	)	)	PUNCT
easat-4020	288	19	.	.	PUNCT
easat-4020	289	1	local	local	ADJ
easat-4020	289	2	distribution	distribution	NOUN
easat-4020	289	3	and	and	CCONJ
easat-4020	289	4	the	the	DET
easat-4020	289	5	symmetry	symmetry	NOUN
easat-4020	289	6	gap	gap	NOUN
easat-4020	289	7	:	:	PUNCT
easat-4020	289	8	approximability	approximability	NOUN
easat-4020	289	9	of	of	ADP
easat-4020	289	10	multiway	multiway	NOUN
easat-4020	289	11	partitioning	partitioning	NOUN
easat-4020	289	12	problems	problem	NOUN
easat-4020	289	13	.	.	PUNCT
easat-4020	290	1	in	in	ADP
easat-4020	290	2	proceedings	proceeding	NOUN
easat-4020	290	3	of	of	ADP
easat-4020	290	4	the	the	DET
easat-4020	290	5	twenty	twenty	NUM
easat-4020	290	6	-	-	PUNCT
easat-4020	290	7	fourth	fourth	ADJ
easat-4020	290	8	annual	annual	ADJ
easat-4020	290	9	acm	acm	NOUN
easat-4020	290	10	-	-	PUNCT
easat-4020	290	11	siam	siam	NOUN
easat-4020	290	12	symposium	symposium	NOUN
easat-4020	290	13	on	on	ADP
easat-4020	290	14	discrete	discrete	ADJ
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easat-4020	290	16	(	(	PUNCT
easat-4020	290	17	pp	pp	ADJ
easat-4020	290	18	.	.	PUNCT
easat-4020	291	1	306	306	NUM
easat-4020	291	2	-	-	SYM
easat-4020	291	3	325	325	NUM
easat-4020	291	4	)	)	PUNCT
easat-4020	291	5	.	.	PUNCT
easat-4020	292	1	siam	siam	PROPN
easat-4020	292	2	.	.	PUNCT
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easat-4020	293	2	18	18	NUM
easat-4020	293	3	]	]	X
easat-4020	293	4	garg	garg	NOUN
easat-4020	293	5	,	,	PUNCT
easat-4020	293	6	n.	n.	NOUN
easat-4020	293	7	,	,	PUNCT
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easat-4020	293	9	,	,	PUNCT
easat-4020	293	10	v.	v.	ADP
easat-4020	293	11	v.	v.	ADP
easat-4020	293	12	,	,	PUNCT
easat-4020	293	13	&	&	CCONJ
easat-4020	293	14	yannakakis	yannakakis	PROPN
easat-4020	293	15	,	,	PUNCT
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easat-4020	293	17	(	(	PUNCT
easat-4020	293	18	2004	2004	NUM
easat-4020	293	19	)	)	PUNCT
easat-4020	293	20	.	.	PUNCT
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easat-4020	294	3	in	in	ADP
easat-4020	294	4	node	node	NOUN
easat-4020	294	5	weighted	weight	VERB
easat-4020	294	6	graphs	graph	NOUN
easat-4020	294	7	.	.	PUNCT
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easat-4020	295	4	,	,	PUNCT
easat-4020	295	5	50(1	50(1	NUM
easat-4020	295	6	)	)	PUNCT
easat-4020	295	7	,	,	PUNCT
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easat-4020	295	9	-	-	SYM
easat-4020	295	10	61	61	NUM
easat-4020	295	11	.	.	PUNCT
easat-4020	296	1	[	[	X
easat-4020	296	2	19	19	NUM
easat-4020	296	3	]	]	X
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easat-4020	296	5	,	,	PUNCT
easat-4020	296	6	n.	n.	NOUN
easat-4020	296	7	,	,	PUNCT
easat-4020	296	8	liaw	liaw	PROPN
easat-4020	296	9	,	,	PUNCT
easat-4020	296	10	c.	c.	PROPN
easat-4020	296	11	,	,	PUNCT
easat-4020	296	12	&	&	CCONJ
easat-4020	296	13	liu	liu	PROPN
easat-4020	296	14	,	,	PUNCT
easat-4020	296	15	p.	p.	NOUN
easat-4020	296	16	(	(	PUNCT
easat-4020	296	17	2018	2018	NUM
easat-4020	296	18	)	)	PUNCT
easat-4020	296	19	.	.	PUNCT
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easat-4020	297	2	and	and	CCONJ
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easat-4020	297	4	ratio	ratio	NOUN
easat-4020	297	5	algorithms	algorithm	NOUN
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easat-4020	297	7	the	the	DET
easat-4020	297	8	mapreduce	mapreduce	PROPN
easat-4020	297	9	model	model	NOUN
easat-4020	297	10	.	.	PUNCT
easat-4020	298	1	in	in	ADP
easat-4020	298	2	proceedings	proceeding	NOUN
easat-4020	298	3	of	of	ADP
easat-4020	298	4	the	the	DET
easat-4020	298	5	30th	30th	NOUN
easat-4020	298	6	on	on	ADP
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easat-4020	298	8	on	on	ADP
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easat-4020	298	10	in	in	ADP
easat-4020	298	11	algorithms	algorithm	NOUN
easat-4020	298	12	and	and	CCONJ
easat-4020	298	13	architectures	architecture	NOUN
easat-4020	298	14	(	(	PUNCT
easat-4020	298	15	pp	pp	ADJ
easat-4020	298	16	.	.	PUNCT
easat-4020	298	17	43	43	NUM
easat-4020	298	18	-	-	SYM
easat-4020	298	19	52	52	NUM
easat-4020	298	20	)	)	PUNCT
easat-4020	298	21	.	.	PUNCT
easat-4020	299	1	[	[	X
easat-4020	299	2	20	20	NUM
easat-4020	299	3	]	]	X
easat-4020	299	4	khot	khot	PROPN
easat-4020	299	5	,	,	PUNCT
easat-4020	299	6	s.	s.	PROPN
easat-4020	299	7	,	,	PUNCT
easat-4020	299	8	&	&	CCONJ
easat-4020	299	9	regev	regev	PROPN
easat-4020	299	10	,	,	PUNCT
easat-4020	299	11	o.	o.	PROPN
easat-4020	299	12	(	(	PUNCT
easat-4020	299	13	2008	2008	NUM
easat-4020	299	14	)	)	PUNCT
easat-4020	299	15	.	.	PUNCT
easat-4020	300	1	vertex	vertex	NOUN
easat-4020	300	2	cover	cover	NOUN
easat-4020	300	3	might	might	AUX
easat-4020	300	4	be	be	AUX
easat-4020	300	5	hard	hard	ADJ
easat-4020	300	6	to	to	PART
easat-4020	300	7	approximate	approximate	VERB
easat-4020	300	8	to	to	ADP
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easat-4020	300	10	2	2	NUM
easat-4020	300	11	.	.	PUNCT
easat-4020	300	12	journal	journal	NOUN
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easat-4020	300	14	computer	computer	NOUN
easat-4020	300	15	and	and	CCONJ
easat-4020	300	16	system	system	NOUN
easat-4020	300	17	sciences	science	NOUN
easat-4020	300	18	,	,	PUNCT
easat-4020	300	19	74(3	74(3	NOUN
easat-4020	300	20	)	)	PUNCT
easat-4020	300	21	,	,	PUNCT
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easat-4020	300	23	-	-	SYM
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easat-4020	300	25	.	.	PUNCT
easat-4020	301	1	[	[	X
easat-4020	301	2	21	21	NUM
easat-4020	301	3	]	]	X
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easat-4020	301	5	,	,	PUNCT
easat-4020	301	6	n.	n.	NOUN
easat-4020	301	7	,	,	PUNCT
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easat-4020	301	9	,	,	PUNCT
easat-4020	301	10	l.	l.	PROPN
easat-4020	301	11	,	,	PUNCT
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easat-4020	301	15	,	,	PUNCT
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easat-4020	301	17	,	,	PUNCT
easat-4020	301	18	k.	k.	PROPN
easat-4020	301	19	,	,	PUNCT
easat-4020	301	20	issac	issac	PROPN
easat-4020	301	21	,	,	PUNCT
easat-4020	301	22	d.	d.	PROPN
easat-4020	301	23	,	,	PUNCT
easat-4020	301	24	&	&	CCONJ
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easat-4020	301	28	(	(	PUNCT
easat-4020	301	29	2021	2021	NUM
easat-4020	301	30	)	)	PUNCT
easat-4020	301	31	.	.	PUNCT
easat-4020	302	1	a	a	DET
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easat-4020	302	12	and	and	CCONJ
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easat-4020	302	15	.	.	PUNCT
easat-4020	303	1	in	in	ADP
easat-4020	303	2	proceedings	proceeding	NOUN
easat-4020	303	3	of	of	ADP
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easat-4020	303	5	27th	27th	ADJ
easat-4020	303	6	acm	acm	PROPN
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easat-4020	303	12	&	&	CCONJ
easat-4020	303	13	data	data	PROPN
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easat-4020	303	15	(	(	PUNCT
easat-4020	303	16	pp	pp	ADJ
easat-4020	303	17	.	.	PUNCT
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easat-4020	303	19	-	-	SYM
easat-4020	303	20	891	891	NUM
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easat-4020	303	22	.	.	PUNCT
easat-4020	304	1	[	[	X
easat-4020	304	2	22	22	NUM
easat-4020	304	3	]	]	SYM
easat-4020	304	4	li	li	PROPN
easat-4020	304	5	,	,	PUNCT
easat-4020	304	6	p.	p.	NOUN
easat-4020	304	7	,	,	PUNCT
easat-4020	304	8	&	&	CCONJ
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easat-4020	304	10	,	,	PUNCT
easat-4020	304	11	o.	o.	PROPN
easat-4020	304	12	(	(	PUNCT
easat-4020	304	13	2017	2017	NUM
easat-4020	304	14	)	)	PUNCT
easat-4020	304	15	.	.	PUNCT
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easat-4020	305	3	clustering	cluster	VERB
easat-4020	305	4	with	with	ADP
easat-4020	305	5	applications	application	NOUN
easat-4020	305	6	.	.	PUNCT
easat-4020	306	1	in	in	ADP
easat-4020	306	2	i.	i.	PROPN
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easat-4020	306	4	,	,	PUNCT
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easat-4020	306	8	,	,	PUNCT
easat-4020	306	9	s.	s.	PROPN
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easat-4020	306	11	,	,	PUNCT
easat-4020	306	12	h.	h.	PROPN
easat-4020	306	13	wallach	wallach	PROPN
easat-4020	306	14	,	,	PUNCT
easat-4020	306	15	r.	r.	PROPN
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easat-4020	306	18	s.	s.	PROPN
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easat-4020	306	21	&	&	CCONJ
easat-4020	306	22	r.	r.	PROPN
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easat-4020	306	26	.	.	PUNCT
easat-4020	306	27	)	)	PUNCT
easat-4020	306	28	,	,	PUNCT
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easat-4020	306	36	(	(	PUNCT
easat-4020	306	37	pp	pp	ADJ
easat-4020	306	38	.	.	PUNCT
easat-4020	307	1	2308	2308	NUM
easat-4020	307	2	-	-	SYM
easat-4020	307	3	2318	2318	NUM
easat-4020	307	4	)	)	PUNCT
easat-4020	307	5	.	.	PUNCT
easat-4020	308	1	curran	curran	PROPN
easat-4020	308	2	associates	associates	PROPN
easat-4020	308	3	,	,	PUNCT
easat-4020	308	4	inc	inc	PROPN
easat-4020	308	5	.	.	PUNCT
easat-4020	309	1	[	[	X
easat-4020	309	2	23	23	NUM
easat-4020	309	3	]	]	SYM
easat-4020	309	4	li	li	PROPN
easat-4020	309	5	,	,	PUNCT
easat-4020	309	6	p.	p.	NOUN
easat-4020	309	7	,	,	PUNCT
easat-4020	309	8	&	&	CCONJ
easat-4020	309	9	milenkovic	milenkovic	ADJ
easat-4020	309	10	,	,	PUNCT
easat-4020	309	11	o.	o.	PROPN
easat-4020	309	12	(	(	PUNCT
easat-4020	309	13	2018	2018	NUM
easat-4020	309	14	)	)	PUNCT
easat-4020	309	15	.	.	PUNCT
easat-4020	310	1	submodular	submodular	ADJ
easat-4020	310	2	hypergraphs	hypergraph	NOUN
easat-4020	310	3	:	:	PUNCT
easat-4020	310	4	p	p	X
easat-4020	310	5	-	-	PUNCT
easat-4020	310	6	laplacians	laplacian	NOUN
easat-4020	310	7	,	,	PUNCT
easat-4020	310	8	cheeger	cheeger	ADJ
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easat-4020	310	10	,	,	PUNCT
easat-4020	310	11	and	and	CCONJ
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easat-4020	310	13	clustering	clustering	NOUN
easat-4020	310	14	.	.	PUNCT
easat-4020	311	1	in	in	ADP
easat-4020	311	2	international	international	ADJ
easat-4020	311	3	conference	conference	NOUN
easat-4020	311	4	on	on	ADP
easat-4020	311	5	machine	machine	NOUN
easat-4020	311	6	learning	learning	NOUN
easat-4020	311	7	(	(	PUNCT
easat-4020	311	8	pp	pp	ADJ
easat-4020	311	9	.	.	PUNCT
easat-4020	311	10	3014	3014	NUM
easat-4020	311	11	-	-	SYM
easat-4020	311	12	3023	3023	NUM
easat-4020	311	13	)	)	PUNCT
easat-4020	311	14	.	.	PUNCT
easat-4020	311	15	pmlr	pmlr	NOUN
easat-4020	311	16	.	.	PUNCT
easat-4020	312	1	[	[	X
easat-4020	312	2	24	24	NUM
easat-4020	312	3	]	]	SYM
easat-4020	312	4	louis	louis	PROPN
easat-4020	312	5	,	,	PUNCT
easat-4020	312	6	a.	a.	NOUN
easat-4020	312	7	(	(	PUNCT
easat-4020	312	8	2015	2015	NUM
easat-4020	312	9	)	)	PUNCT
easat-4020	312	10	.	.	PUNCT
easat-4020	313	1	hypergraph	hypergraph	VERB
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easat-4020	313	4	,	,	PUNCT
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easat-4020	313	7	and	and	CCONJ
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easat-4020	313	10	.	.	PUNCT
easat-4020	314	1	in	in	ADP
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easat-4020	314	6	-	-	PUNCT
easat-4020	314	7	seventh	seventh	ADJ
easat-4020	314	8	annual	annual	ADJ
easat-4020	314	9	acm	acm	NOUN
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easat-4020	314	13	of	of	ADP
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easat-4020	314	15	(	(	PUNCT
easat-4020	314	16	pp	pp	ADJ
easat-4020	314	17	.	.	PUNCT
easat-4020	314	18	713	713	NUM
easat-4020	314	19	-	-	PUNCT
easat-4020	314	20	722	722	NUM
easat-4020	314	21	)	)	PUNCT
easat-4020	314	22	.	.	PUNCT
easat-4020	315	1	https://doi.org/10.1287/moor.2021.1250	https://doi.org/10.1287/moor.2021.1250	NOUN