id	sid	tid	token	lemma	pos
cana-3297	1	1	communications	communication	NOUN
cana-3297	1	2	on	on	ADP
cana-3297	1	3	applied	apply	VERB
cana-3297	1	4	nonlinear	nonlinear	ADJ
cana-3297	1	5	analysis	analysis	NOUN
cana-3297	1	6	issn	issn	NOUN
cana-3297	1	7	:	:	PUNCT
cana-3297	1	8	1074	1074	NUM
cana-3297	1	9	-	-	PUNCT
cana-3297	1	10	133x	133x	NUM
cana-3297	1	11	vol	vol	NOUN
cana-3297	1	12	32	32	NUM
cana-3297	1	13	no	no	NOUN
cana-3297	1	14	.	.	PUNCT
cana-3297	2	1	6s	6s	NUM
cana-3297	2	2	(	(	PUNCT
cana-3297	2	3	2025	2025	NUM
cana-3297	2	4	)	)	PUNCT
cana-3297	2	5	300	300	NUM
cana-3297	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	2	7	enhancing	enhance	VERB
cana-3297	2	8	graph	graph	NOUN
cana-3297	2	9	-	-	PUNCT
cana-3297	2	10	based	base	VERB
cana-3297	2	11	machine	machine	NOUN
cana-3297	2	12	learning	learn	VERB
cana-3297	2	13	through	through	ADP
cana-3297	2	14	lyndon	lyndon	PROPN
cana-3297	2	15	partial	partial	ADJ
cana-3297	2	16	words	word	NOUN
cana-3297	2	17	r.	r.	PROPN
cana-3297	2	18	krishna	krishna	PROPN
cana-3297	3	1	kumari1	kumari1	PROPN
cana-3297	3	2	*	*	PROPN
cana-3297	3	3	,	,	PUNCT
cana-3297	3	4	s.j	s.j	PROPN
cana-3297	3	5	.	.	PROPN
cana-3297	3	6	mohana2	mohana2	PROPN
cana-3297	3	7	,	,	PUNCT
cana-3297	3	8	p.	p.	NOUN
cana-3297	3	9	mahimairaj3	mahimairaj3	PROPN
cana-3297	3	10	,	,	PUNCT
cana-3297	3	11	s.	s.	PROPN
cana-3297	3	12	marichamy4	marichamy4	PROPN
cana-3297	3	13	,	,	PUNCT
cana-3297	3	14	l.	l.	PROPN
cana-3297	3	15	jeyanthi5	jeyanthi5	PROPN
cana-3297	3	16	1department	1department	NUM
cana-3297	3	17	of	of	ADP
cana-3297	3	18	mathematics	mathematic	NOUN
cana-3297	3	19	,	,	PUNCT
cana-3297	3	20	college	college	NOUN
cana-3297	3	21	of	of	ADP
cana-3297	3	22	engineering	engineering	NOUN
cana-3297	3	23	and	and	CCONJ
cana-3297	3	24	technology	technology	NOUN
cana-3297	3	25	,	,	PUNCT
cana-3297	3	26	faculty	faculty	NOUN
cana-3297	3	27	of	of	ADP
cana-3297	3	28	engineering	engineering	NOUN
cana-3297	3	29	and	and	CCONJ
cana-3297	3	30	technology	technology	NOUN
cana-3297	3	31	,	,	PUNCT
cana-3297	3	32	srm	srm	PROPN
cana-3297	3	33	institute	institute	PROPN
cana-3297	3	34	of	of	ADP
cana-3297	3	35	science	science	NOUN
cana-3297	3	36	and	and	CCONJ
cana-3297	3	37	technology	technology	NOUN
cana-3297	3	38	,	,	PUNCT
cana-3297	3	39	srm	srm	NOUN
cana-3297	3	40	nagar	nagar	NOUN
cana-3297	3	41	,	,	PUNCT
cana-3297	3	42	kattankulathur-603203	kattankulathur-603203	NOUN
cana-3297	3	43	,	,	PUNCT
cana-3297	3	44	tamilnadu	tamilnadu	NOUN
cana-3297	3	45	,	,	PUNCT
cana-3297	3	46	india	india	PROPN
cana-3297	3	47	.	.	PUNCT
cana-3297	4	1	2department	2department	NUM
cana-3297	4	2	of	of	ADP
cana-3297	4	3	bioinformatics	bioinformatics	NOUN
cana-3297	4	4	,	,	PUNCT
cana-3297	4	5	sri	sri	PROPN
cana-3297	4	6	ramachandra	ramachandra	PROPN
cana-3297	4	7	faculty	faculty	NOUN
cana-3297	4	8	of	of	ADP
cana-3297	4	9	engineering	engineering	NOUN
cana-3297	4	10	and	and	CCONJ
cana-3297	4	11	technology	technology	NOUN
cana-3297	4	12	,	,	PUNCT
cana-3297	4	13	sri	sri	PROPN
cana-3297	4	14	ramachandra	ramachandra	PROPN
cana-3297	4	15	institute	institute	PROPN
cana-3297	4	16	of	of	ADP
cana-3297	4	17	higher	high	ADJ
cana-3297	4	18	education	education	NOUN
cana-3297	4	19	and	and	CCONJ
cana-3297	4	20	research	research	NOUN
cana-3297	4	21	,	,	PUNCT
cana-3297	4	22	porur	porur	NOUN
cana-3297	4	23	,	,	PUNCT
cana-3297	4	24	chennai-600116	chennai-600116	ADV
cana-3297	4	25	,	,	PUNCT
cana-3297	4	26	tamil	tamil	PROPN
cana-3297	4	27	nadu	nadu	PROPN
cana-3297	4	28	,	,	PUNCT
cana-3297	4	29	india	india	PROPN
cana-3297	4	30	.	.	PUNCT
cana-3297	5	1	3department	3department	NUM
cana-3297	5	2	of	of	ADP
cana-3297	5	3	mathematics	mathematic	NOUN
cana-3297	5	4	,	,	PUNCT
cana-3297	5	5	loyola	loyola	PROPN
cana-3297	5	6	college	college	NOUN
cana-3297	5	7	,	,	PUNCT
cana-3297	5	8	nungambakkam	nungambakkam	NOUN
cana-3297	5	9	,	,	PUNCT
cana-3297	5	10	chennai-600034	chennai-600034	NOUN
cana-3297	5	11	,	,	PUNCT
cana-3297	5	12	tamilnadu	tamilnadu	NOUN
cana-3297	5	13	,	,	PUNCT
cana-3297	5	14	india	india	PROPN
cana-3297	5	15	.	.	PUNCT
cana-3297	6	1	4department	4department	NUM
cana-3297	6	2	of	of	ADP
cana-3297	6	3	mathematics	mathematics	PROPN
cana-3297	6	4	,	,	PUNCT
cana-3297	6	5	chennai	chennai	PROPN
cana-3297	6	6	institute	institute	PROPN
cana-3297	6	7	of	of	ADP
cana-3297	6	8	technology	technology	PROPN
cana-3297	6	9	,	,	PUNCT
cana-3297	6	10	kundrathur	kundrathur	NOUN
cana-3297	6	11	,	,	PUNCT
cana-3297	6	12	chennai-600069	chennai-600069	ADJ
cana-3297	6	13	,	,	PUNCT
cana-3297	6	14	tamilnadu	tamilnadu	NOUN
cana-3297	6	15	,	,	PUNCT
cana-3297	6	16	india	india	PROPN
cana-3297	6	17	.	.	PUNCT
cana-3297	7	1	5department	5department	NUM
cana-3297	7	2	of	of	ADP
cana-3297	7	3	mathematics	mathematic	NOUN
cana-3297	7	4	,	,	PUNCT
cana-3297	7	5	panimalar	panimalar	ADJ
cana-3297	7	6	engineering	engineering	NOUN
cana-3297	7	7	college	college	NOUN
cana-3297	7	8	,	,	PUNCT
cana-3297	7	9	varadharajapuram	varadharajapuram	NOUN
cana-3297	7	10	,	,	PUNCT
cana-3297	7	11	chennai-600123	chennai-600123	NOUN
cana-3297	7	12	,	,	PUNCT
cana-3297	7	13	tamil	tamil	PROPN
cana-3297	7	14	nadu	nadu	PROPN
cana-3297	7	15	,	,	PUNCT
cana-3297	7	16	india	india	PROPN
cana-3297	7	17	.	.	PUNCT
cana-3297	8	1	*	*	PUNCT
cana-3297	8	2	corresponding	correspond	VERB
cana-3297	8	3	email	email	NOUN
cana-3297	8	4	:	:	PUNCT
cana-3297	8	5	krishrengan@gmail.com	krishrengan@gmail.com	X
cana-3297	8	6	article	article	NOUN
cana-3297	8	7	history	history	NOUN
cana-3297	8	8	:	:	PUNCT
cana-3297	8	9	received	receive	VERB
cana-3297	8	10	:	:	PUNCT
cana-3297	8	11	20	20	NUM
cana-3297	8	12	-	-	SYM
cana-3297	8	13	10	10	NUM
cana-3297	8	14	-	-	PUNCT
cana-3297	8	15	2024	2024	NUM
cana-3297	8	16	revised	revise	VERB
cana-3297	8	17	:	:	PUNCT
cana-3297	8	18	04	04	NUM
cana-3297	8	19	-	-	SYM
cana-3297	8	20	12	12	NUM
cana-3297	8	21	-	-	PUNCT
cana-3297	8	22	2024	2024	NUM
cana-3297	8	23	accepted	accept	VERB
cana-3297	8	24	:	:	PUNCT
cana-3297	8	25	11	11	NUM
cana-3297	8	26	-	-	SYM
cana-3297	8	27	12	12	NUM
cana-3297	8	28	-	-	PUNCT
cana-3297	8	29	2024	2024	NUM
cana-3297	8	30	abstract	abstract	NOUN
cana-3297	8	31	:	:	PUNCT
cana-3297	8	32	objectives	objective	NOUN
cana-3297	8	33	:	:	PUNCT
cana-3297	8	34	this	this	DET
cana-3297	8	35	study	study	NOUN
cana-3297	8	36	integrates	integrate	VERB
cana-3297	8	37	the	the	DET
cana-3297	8	38	combinatorial	combinatorial	ADJ
cana-3297	8	39	properties	property	NOUN
cana-3297	8	40	of	of	ADP
cana-3297	8	41	lyndon	lyndon	PROPN
cana-3297	8	42	partial	partial	ADJ
cana-3297	8	43	words	word	NOUN
cana-3297	8	44	with	with	ADP
cana-3297	8	45	graph	graph	NOUN
cana-3297	8	46	-	-	PUNCT
cana-3297	8	47	based	base	VERB
cana-3297	8	48	machine	machine	NOUN
cana-3297	8	49	learning	learning	NOUN
cana-3297	8	50	(	(	PUNCT
cana-3297	8	51	gbml	gbml	ADJ
cana-3297	8	52	)	)	PUNCT
cana-3297	8	53	to	to	PART
cana-3297	8	54	develop	develop	VERB
cana-3297	8	55	an	an	DET
cana-3297	8	56	innovative	innovative	ADJ
cana-3297	8	57	approach	approach	NOUN
cana-3297	8	58	for	for	ADP
cana-3297	8	59	sequence	sequence	NOUN
cana-3297	8	60	analysis	analysis	NOUN
cana-3297	8	61	.	.	PUNCT
cana-3297	9	1	the	the	DET
cana-3297	9	2	research	research	NOUN
cana-3297	9	3	is	be	AUX
cana-3297	9	4	particularly	particularly	ADV
cana-3297	9	5	aimed	aim	VERB
cana-3297	9	6	at	at	ADP
cana-3297	9	7	addressing	address	VERB
cana-3297	9	8	challenges	challenge	NOUN
cana-3297	9	9	in	in	ADP
cana-3297	9	10	fields	field	NOUN
cana-3297	9	11	like	like	ADP
cana-3297	9	12	bioinformatics	bioinformatics	NOUN
cana-3297	9	13	and	and	CCONJ
cana-3297	9	14	natural	natural	ADJ
cana-3297	9	15	language	language	NOUN
cana-3297	9	16	processing	processing	NOUN
cana-3297	9	17	(	(	PUNCT
cana-3297	9	18	nlp	nlp	NOUN
cana-3297	9	19	)	)	PUNCT
cana-3297	9	20	,	,	PUNCT
cana-3297	9	21	where	where	SCONJ
cana-3297	9	22	incomplete	incomplete	ADJ
cana-3297	9	23	or	or	CCONJ
cana-3297	9	24	fragmented	fragmented	ADJ
cana-3297	9	25	data	datum	NOUN
cana-3297	9	26	often	often	ADV
cana-3297	9	27	hinder	hinder	VERB
cana-3297	9	28	effective	effective	ADJ
cana-3297	9	29	analysis	analysis	NOUN
cana-3297	9	30	.	.	PUNCT
cana-3297	10	1	by	by	ADP
cana-3297	10	2	leveraging	leverage	VERB
cana-3297	10	3	the	the	DET
cana-3297	10	4	minimality	minimality	NOUN
cana-3297	10	5	and	and	CCONJ
cana-3297	10	6	primitiveness	primitiveness	NOUN
cana-3297	10	7	inherent	inherent	ADJ
cana-3297	10	8	to	to	ADP
cana-3297	10	9	lyndon	lyndon	PROPN
cana-3297	10	10	partial	partial	ADJ
cana-3297	10	11	words	word	NOUN
cana-3297	10	12	,	,	PUNCT
cana-3297	10	13	this	this	DET
cana-3297	10	14	study	study	NOUN
cana-3297	10	15	seeks	seek	VERB
cana-3297	10	16	to	to	PART
cana-3297	10	17	provide	provide	VERB
cana-3297	10	18	a	a	DET
cana-3297	10	19	robust	robust	ADJ
cana-3297	10	20	framework	framework	NOUN
cana-3297	10	21	for	for	ADP
cana-3297	10	22	modeling	modeling	NOUN
cana-3297	10	23	and	and	CCONJ
cana-3297	10	24	analyzing	analyze	VERB
cana-3297	10	25	such	such	ADJ
cana-3297	10	26	data	datum	NOUN
cana-3297	10	27	.	.	PUNCT
cana-3297	11	1	methods	method	NOUN
cana-3297	11	2	:	:	PUNCT
cana-3297	11	3	graphs	graph	NOUN
cana-3297	11	4	were	be	AUX
cana-3297	11	5	constructed	construct	VERB
cana-3297	11	6	from	from	ADP
cana-3297	11	7	lyndon	lyndon	PROPN
cana-3297	11	8	partial	partial	ADJ
cana-3297	11	9	words	word	NOUN
cana-3297	11	10	,	,	PUNCT
cana-3297	11	11	where	where	SCONJ
cana-3297	11	12	nodes	node	NOUN
cana-3297	11	13	represent	represent	VERB
cana-3297	11	14	unique	unique	ADJ
cana-3297	11	15	partial	partial	ADJ
cana-3297	11	16	words	word	NOUN
cana-3297	11	17	or	or	CCONJ
cana-3297	11	18	their	their	PRON
cana-3297	11	19	conjugates	conjugate	NOUN
cana-3297	11	20	,	,	PUNCT
cana-3297	11	21	and	and	CCONJ
cana-3297	11	22	edges	edge	NOUN
cana-3297	11	23	signify	signify	VERB
cana-3297	11	24	relationships	relationship	NOUN
cana-3297	11	25	such	such	ADJ
cana-3297	11	26	as	as	ADP
cana-3297	11	27	lexicographical	lexicographical	ADJ
cana-3297	11	28	proximity	proximity	NOUN
cana-3297	11	29	or	or	CCONJ
cana-3297	11	30	shared	share	VERB
cana-3297	11	31	substrings	substring	NOUN
cana-3297	11	32	.	.	PUNCT
cana-3297	12	1	these	these	DET
cana-3297	12	2	graphs	graph	NOUN
cana-3297	12	3	were	be	AUX
cana-3297	12	4	subjected	subject	VERB
cana-3297	12	5	to	to	ADP
cana-3297	12	6	advanced	advanced	ADJ
cana-3297	12	7	gbml	gbml	ADJ
cana-3297	12	8	techniques	technique	NOUN
cana-3297	12	9	,	,	PUNCT
cana-3297	12	10	including	include	VERB
cana-3297	12	11	community	community	NOUN
cana-3297	12	12	detection	detection	NOUN
cana-3297	12	13	algorithms	algorithm	NOUN
cana-3297	12	14	to	to	PART
cana-3297	12	15	uncover	uncover	VERB
cana-3297	12	16	clusters	cluster	NOUN
cana-3297	12	17	of	of	ADP
cana-3297	12	18	related	related	ADJ
cana-3297	12	19	patterns	pattern	NOUN
cana-3297	12	20	,	,	PUNCT
cana-3297	12	21	and	and	CCONJ
cana-3297	12	22	similarity	similarity	NOUN
cana-3297	12	23	analysis	analysis	NOUN
cana-3297	12	24	to	to	PART
cana-3297	12	25	measure	measure	VERB
cana-3297	12	26	structural	structural	ADJ
cana-3297	12	27	and	and	CCONJ
cana-3297	12	28	semantic	semantic	ADJ
cana-3297	12	29	relationships	relationship	NOUN
cana-3297	12	30	.	.	PUNCT
cana-3297	13	1	data	datum	NOUN
cana-3297	13	2	preprocessing	preprocessing	NOUN
cana-3297	13	3	ensured	ensure	VERB
cana-3297	13	4	the	the	DET
cana-3297	13	5	accurate	accurate	ADJ
cana-3297	13	6	representation	representation	NOUN
cana-3297	13	7	of	of	ADP
cana-3297	13	8	partial	partial	ADJ
cana-3297	13	9	words	word	NOUN
cana-3297	13	10	while	while	SCONJ
cana-3297	13	11	maintaining	maintain	VERB
cana-3297	13	12	their	their	PRON
cana-3297	13	13	combinatorial	combinatorial	ADJ
cana-3297	13	14	integrity	integrity	NOUN
cana-3297	13	15	.	.	PUNCT
cana-3297	14	1	findings	finding	NOUN
cana-3297	14	2	:	:	PUNCT
cana-3297	14	3	the	the	DET
cana-3297	14	4	integration	integration	NOUN
cana-3297	14	5	of	of	ADP
cana-3297	14	6	lyndon	lyndon	PROPN
cana-3297	14	7	partial	partial	ADJ
cana-3297	14	8	words	word	NOUN
cana-3297	14	9	into	into	ADP
cana-3297	14	10	gbml	gbml	ADJ
cana-3297	14	11	demonstrates	demonstrate	VERB
cana-3297	14	12	significant	significant	ADJ
cana-3297	14	13	potential	potential	NOUN
cana-3297	14	14	in	in	ADP
cana-3297	14	15	pattern	pattern	NOUN
cana-3297	14	16	recognition	recognition	NOUN
cana-3297	14	17	and	and	CCONJ
cana-3297	14	18	structural	structural	ADJ
cana-3297	14	19	analysis	analysis	NOUN
cana-3297	14	20	,	,	PUNCT
cana-3297	14	21	particularly	particularly	ADV
cana-3297	14	22	for	for	ADP
cana-3297	14	23	datasets	dataset	NOUN
cana-3297	14	24	characterized	characterize	VERB
cana-3297	14	25	by	by	ADP
cana-3297	14	26	fragmentation	fragmentation	NOUN
cana-3297	14	27	or	or	CCONJ
cana-3297	14	28	incompleteness	incompleteness	NOUN
cana-3297	14	29	.	.	PUNCT
cana-3297	15	1	the	the	DET
cana-3297	15	2	constructed	construct	VERB
cana-3297	15	3	graphs	graph	NOUN
cana-3297	15	4	effectively	effectively	ADV
cana-3297	15	5	capture	capture	VERB
cana-3297	15	6	underlying	underlying	ADJ
cana-3297	15	7	relationships	relationship	NOUN
cana-3297	15	8	and	and	CCONJ
cana-3297	15	9	patterns	pattern	NOUN
cana-3297	15	10	,	,	PUNCT
cana-3297	15	11	aiding	aid	VERB
cana-3297	15	12	in	in	ADP
cana-3297	15	13	the	the	DET
cana-3297	15	14	discovery	discovery	NOUN
cana-3297	15	15	of	of	ADP
cana-3297	15	16	meaningful	meaningful	ADJ
cana-3297	15	17	insights	insight	NOUN
cana-3297	15	18	in	in	ADP
cana-3297	15	19	sequence	sequence	NOUN
cana-3297	15	20	data	datum	NOUN
cana-3297	15	21	.	.	PUNCT
cana-3297	16	1	this	this	DET
cana-3297	16	2	novel	novel	ADJ
cana-3297	16	3	framework	framework	NOUN
cana-3297	16	4	enables	enable	VERB
cana-3297	16	5	improved	improve	VERB
cana-3297	16	6	modeling	modeling	NOUN
cana-3297	16	7	of	of	ADP
cana-3297	16	8	realworld	realworld	PROPN
cana-3297	16	9	scenarios	scenario	NOUN
cana-3297	16	10	,	,	PUNCT
cana-3297	16	11	such	such	ADJ
cana-3297	16	12	as	as	ADP
cana-3297	16	13	identifying	identify	VERB
cana-3297	16	14	recurring	recur	VERB
cana-3297	16	15	motifs	motif	NOUN
cana-3297	16	16	in	in	ADP
cana-3297	16	17	biological	biological	ADJ
cana-3297	16	18	sequences	sequence	NOUN
cana-3297	16	19	or	or	CCONJ
cana-3297	16	20	understanding	understand	VERB
cana-3297	16	21	linguistic	linguistic	ADJ
cana-3297	16	22	variations	variation	NOUN
cana-3297	16	23	in	in	ADP
cana-3297	16	24	incomplete	incomplete	ADJ
cana-3297	16	25	text	text	NOUN
cana-3297	16	26	datasets	dataset	NOUN
cana-3297	16	27	.	.	PUNCT
cana-3297	17	1	novelty	novelty	NOUN
cana-3297	17	2	:	:	PUNCT
cana-3297	17	3	by	by	ADP
cana-3297	17	4	combining	combine	VERB
cana-3297	17	5	the	the	DET
cana-3297	17	6	theoretical	theoretical	ADJ
cana-3297	17	7	elegance	elegance	NOUN
cana-3297	17	8	of	of	ADP
cana-3297	17	9	lyndon	lyndon	PROPN
cana-3297	17	10	partial	partial	ADJ
cana-3297	17	11	words	word	NOUN
cana-3297	17	12	with	with	ADP
cana-3297	17	13	the	the	DET
cana-3297	17	14	computational	computational	ADJ
cana-3297	17	15	power	power	NOUN
cana-3297	17	16	of	of	ADP
cana-3297	17	17	gbml	gbml	NOUN
cana-3297	17	18	,	,	PUNCT
cana-3297	17	19	this	this	DET
cana-3297	17	20	study	study	NOUN
cana-3297	17	21	introduces	introduce	VERB
cana-3297	17	22	a	a	DET
cana-3297	17	23	novel	novel	ADJ
cana-3297	17	24	methodology	methodology	NOUN
cana-3297	17	25	for	for	ADP
cana-3297	17	26	tackling	tackle	VERB
cana-3297	17	27	incomplete	incomplete	ADJ
cana-3297	17	28	data	datum	NOUN
cana-3297	17	29	in	in	ADP
cana-3297	17	30	sequence	sequence	NOUN
cana-3297	17	31	analysis	analysis	NOUN
cana-3297	17	32	.	.	PUNCT
cana-3297	18	1	the	the	DET
cana-3297	18	2	approach	approach	NOUN
cana-3297	18	3	highlights	highlight	VERB
cana-3297	18	4	the	the	DET
cana-3297	18	5	adaptability	adaptability	NOUN
cana-3297	18	6	of	of	ADP
cana-3297	18	7	combinatorial	combinatorial	ADJ
cana-3297	18	8	constructs	construct	NOUN
cana-3297	18	9	for	for	ADP
cana-3297	18	10	solving	solve	VERB
cana-3297	18	11	practical	practical	ADJ
cana-3297	18	12	problems	problem	NOUN
cana-3297	18	13	,	,	PUNCT
cana-3297	18	14	offering	offer	VERB
cana-3297	18	15	new	new	ADJ
cana-3297	18	16	avenues	avenue	NOUN
cana-3297	18	17	for	for	ADP
cana-3297	18	18	research	research	NOUN
cana-3297	18	19	in	in	ADP
cana-3297	18	20	data	data	NOUN
cana-3297	18	21	-	-	PUNCT
cana-3297	18	22	intensive	intensive	ADJ
cana-3297	18	23	domains	domain	NOUN
cana-3297	18	24	like	like	ADP
cana-3297	18	25	bioinformatics	bioinformatics	NOUN
cana-3297	18	26	and	and	CCONJ
cana-3297	18	27	nlp	nlp	NOUN
cana-3297	18	28	.	.	PUNCT
cana-3297	19	1	the	the	DET
cana-3297	19	2	framework	framework	NOUN
cana-3297	19	3	also	also	ADV
cana-3297	19	4	underscores	underscore	VERB
cana-3297	19	5	the	the	DET
cana-3297	19	6	importance	importance	NOUN
cana-3297	19	7	of	of	ADP
cana-3297	19	8	interdisciplinary	interdisciplinary	ADJ
cana-3297	19	9	solutions	solution	NOUN
cana-3297	19	10	in	in	ADP
cana-3297	19	11	advancing	advance	VERB
cana-3297	19	12	machine	machine	NOUN
cana-3297	19	13	learning	learning	NOUN
cana-3297	19	14	applications	application	NOUN
cana-3297	19	15	for	for	ADP
cana-3297	19	16	complex	complex	ADJ
cana-3297	19	17	and	and	CCONJ
cana-3297	19	18	fragmented	fragmented	ADJ
cana-3297	19	19	datasets	dataset	NOUN
cana-3297	19	20	.	.	PUNCT
cana-3297	20	1	keywords	keyword	NOUN
cana-3297	20	2	:	:	PUNCT
cana-3297	20	3	lyndon	lyndon	PROPN
cana-3297	20	4	partial	partial	ADJ
cana-3297	20	5	words	word	NOUN
cana-3297	20	6	,	,	PUNCT
cana-3297	20	7	graph	graph	NOUN
cana-3297	20	8	-	-	PUNCT
cana-3297	20	9	based	base	VERB
cana-3297	20	10	machine	machine	NOUN
cana-3297	20	11	learning	learning	NOUN
cana-3297	20	12	,	,	PUNCT
cana-3297	20	13	community	community	NOUN
cana-3297	20	14	detection	detection	NOUN
cana-3297	20	15	,	,	PUNCT
cana-3297	20	16	sequence	sequence	NOUN
cana-3297	20	17	analysis	analysis	NOUN
cana-3297	20	18	communications	communication	NOUN
cana-3297	20	19	on	on	ADP
cana-3297	20	20	applied	apply	VERB
cana-3297	20	21	nonlinear	nonlinear	ADJ
cana-3297	20	22	analysis	analysis	NOUN
cana-3297	20	23	issn	issn	NOUN
cana-3297	20	24	:	:	PUNCT
cana-3297	20	25	1074	1074	NUM
cana-3297	20	26	-	-	PUNCT
cana-3297	20	27	133x	133x	NUM
cana-3297	20	28	vol	vol	NOUN
cana-3297	20	29	32	32	NUM
cana-3297	20	30	no	no	NOUN
cana-3297	20	31	.	.	PUNCT
cana-3297	21	1	6s	6s	NUM
cana-3297	21	2	(	(	PUNCT
cana-3297	21	3	2025	2025	NUM
cana-3297	21	4	)	)	PUNCT
cana-3297	21	5	301	301	NUM
cana-3297	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	21	7	1	1	X
cana-3297	21	8	.	.	PUNCT
cana-3297	22	1	introduction	introduction	NOUN
cana-3297	22	2	lyndon	lyndon	PROPN
cana-3297	22	3	partial	partial	ADJ
cana-3297	22	4	words	word	NOUN
cana-3297	22	5	,	,	PUNCT
cana-3297	22	6	which	which	PRON
cana-3297	22	7	are	be	AUX
cana-3297	22	8	primitive	primitive	ADJ
cana-3297	22	9	partial	partial	ADJ
cana-3297	22	10	words	word	NOUN
cana-3297	22	11	lexicographically	lexicographically	ADV
cana-3297	22	12	smaller	small	ADJ
cana-3297	22	13	than	than	ADP
cana-3297	22	14	all	all	PRON
cana-3297	22	15	their	their	PRON
cana-3297	22	16	rotations	rotation	NOUN
cana-3297	22	17	,	,	PUNCT
cana-3297	22	18	are	be	AUX
cana-3297	22	19	foundational	foundational	ADJ
cana-3297	22	20	constructs	construct	NOUN
cana-3297	22	21	in	in	ADP
cana-3297	22	22	combinatorics	combinatoric	NOUN
cana-3297	22	23	on	on	ADP
cana-3297	22	24	words	word	NOUN
cana-3297	22	25	[	[	X
cana-3297	22	26	2	2	NUM
cana-3297	22	27	,	,	PUNCT
cana-3297	22	28	14	14	NUM
cana-3297	22	29	]	]	PUNCT
cana-3297	22	30	.	.	PUNCT
cana-3297	23	1	these	these	DET
cana-3297	23	2	words	word	NOUN
cana-3297	23	3	are	be	AUX
cana-3297	23	4	a	a	DET
cana-3297	23	5	generalization	generalization	NOUN
cana-3297	23	6	of	of	ADP
cana-3297	23	7	lyndon	lyndon	PROPN
cana-3297	23	8	words	word	NOUN
cana-3297	23	9	,	,	PUNCT
cana-3297	23	10	extended	extend	VERB
cana-3297	23	11	to	to	PART
cana-3297	23	12	handle	handle	VERB
cana-3297	23	13	"	"	PUNCT
cana-3297	23	14	holes	hole	NOUN
cana-3297	23	15	"	"	PUNCT
cana-3297	23	16	or	or	CCONJ
cana-3297	23	17	missing	miss	VERB
cana-3297	23	18	symbols	symbol	NOUN
cana-3297	23	19	,	,	PUNCT
cana-3297	23	20	represented	represent	VERB
cana-3297	23	21	as	as	ADP
cana-3297	23	22	♢	♢	PROPN
cana-3297	23	23	.	.	PUNCT
cana-3297	24	1	the	the	DET
cana-3297	24	2	concept	concept	NOUN
cana-3297	24	3	of	of	ADP
cana-3297	24	4	partial	partial	ADJ
cana-3297	24	5	words	word	NOUN
cana-3297	24	6	allows	allow	VERB
cana-3297	24	7	for	for	ADP
cana-3297	24	8	the	the	DET
cana-3297	24	9	study	study	NOUN
cana-3297	24	10	of	of	ADP
cana-3297	24	11	sequences	sequence	NOUN
cana-3297	24	12	that	that	PRON
cana-3297	24	13	are	be	AUX
cana-3297	24	14	not	not	PART
cana-3297	24	15	completely	completely	ADV
cana-3297	24	16	specified	specify	VERB
cana-3297	24	17	,	,	PUNCT
cana-3297	24	18	which	which	PRON
cana-3297	24	19	is	be	AUX
cana-3297	24	20	particularly	particularly	ADV
cana-3297	24	21	relevant	relevant	ADJ
cana-3297	24	22	in	in	ADP
cana-3297	24	23	domains	domain	NOUN
cana-3297	24	24	like	like	ADP
cana-3297	24	25	bioinformatics	bioinformatics	NOUN
cana-3297	24	26	,	,	PUNCT
cana-3297	24	27	natural	natural	ADJ
cana-3297	24	28	language	language	NOUN
cana-3297	24	29	processing	processing	NOUN
cana-3297	24	30	,	,	PUNCT
cana-3297	24	31	and	and	CCONJ
cana-3297	24	32	data	datum	NOUN
cana-3297	24	33	mining	mining	NOUN
cana-3297	24	34	,	,	PUNCT
cana-3297	24	35	where	where	SCONJ
cana-3297	24	36	incomplete	incomplete	ADJ
cana-3297	24	37	or	or	CCONJ
cana-3297	24	38	uncertain	uncertain	ADJ
cana-3297	24	39	data	datum	NOUN
cana-3297	24	40	often	often	ADV
cana-3297	24	41	arises	arise	VERB
cana-3297	24	42	[	[	X
cana-3297	24	43	16	16	NUM
cana-3297	24	44	,	,	PUNCT
cana-3297	24	45	17	17	NUM
cana-3297	24	46	]	]	PUNCT
cana-3297	24	47	.	.	PUNCT
cana-3297	25	1	partial	partial	ADJ
cana-3297	25	2	words	word	NOUN
cana-3297	25	3	were	be	AUX
cana-3297	25	4	introduced	introduce	VERB
cana-3297	25	5	as	as	ADP
cana-3297	25	6	a	a	DET
cana-3297	25	7	way	way	NOUN
cana-3297	25	8	to	to	PART
cana-3297	25	9	handle	handle	VERB
cana-3297	25	10	sequences	sequence	NOUN
cana-3297	25	11	with	with	ADP
cana-3297	25	12	undefined	undefined	ADJ
cana-3297	25	13	positions	position	NOUN
cana-3297	25	14	.	.	PUNCT
cana-3297	26	1	these	these	PRON
cana-3297	26	2	are	be	AUX
cana-3297	26	3	words	word	NOUN
cana-3297	26	4	over	over	ADP
cana-3297	26	5	an	an	DET
cana-3297	26	6	alphabet	alphabet	PROPN
cana-3297	26	7	σ	σ	PROPN
cana-3297	26	8	∪	∪	PROPN
cana-3297	26	9	♢	♢	PROPN
cana-3297	26	10	,	,	PUNCT
cana-3297	26	11	where	where	SCONJ
cana-3297	26	12	σ	σ	PROPN
cana-3297	26	13	is	be	AUX
cana-3297	26	14	a	a	DET
cana-3297	26	15	finite	finite	NOUN
cana-3297	26	16	,	,	PUNCT
cana-3297	26	17	totally	totally	ADV
cana-3297	26	18	ordered	order	VERB
cana-3297	26	19	set	set	NOUN
cana-3297	26	20	of	of	ADP
cana-3297	26	21	characters	character	NOUN
cana-3297	26	22	and	and	CCONJ
cana-3297	26	23	♢	♢	PROPN
cana-3297	26	24	represents	represent	VERB
cana-3297	26	25	a	a	DET
cana-3297	26	26	gap	gap	NOUN
cana-3297	26	27	or	or	CCONJ
cana-3297	26	28	missing	missing	ADJ
cana-3297	26	29	value	value	NOUN
cana-3297	26	30	.	.	PUNCT
cana-3297	27	1	this	this	DET
cana-3297	27	2	structure	structure	NOUN
cana-3297	27	3	accommodates	accommodate	VERB
cana-3297	27	4	datasets	dataset	NOUN
cana-3297	27	5	with	with	ADP
cana-3297	27	6	uncertainty	uncertainty	NOUN
cana-3297	27	7	or	or	CCONJ
cana-3297	27	8	incompleteness	incompleteness	NOUN
cana-3297	27	9	,	,	PUNCT
cana-3297	27	10	offering	offer	VERB
cana-3297	27	11	a	a	DET
cana-3297	27	12	powerful	powerful	ADJ
cana-3297	27	13	framework	framework	NOUN
cana-3297	27	14	for	for	ADP
cana-3297	27	15	sequence	sequence	NOUN
cana-3297	27	16	analysis	analysis	NOUN
cana-3297	27	17	[	[	X
cana-3297	27	18	3	3	NUM
cana-3297	27	19	,	,	PUNCT
cana-3297	27	20	14	14	NUM
cana-3297	27	21	]	]	PUNCT
cana-3297	27	22	.	.	PUNCT
cana-3297	28	1	partial	partial	ADJ
cana-3297	28	2	words	word	NOUN
cana-3297	28	3	generalize	generalize	VERB
cana-3297	28	4	the	the	DET
cana-3297	28	5	classical	classical	ADJ
cana-3297	28	6	notions	notion	NOUN
cana-3297	28	7	of	of	ADP
cana-3297	28	8	periodicity	periodicity	NOUN
cana-3297	28	9	,	,	PUNCT
cana-3297	28	10	primitivity	primitivity	NOUN
cana-3297	28	11	,	,	PUNCT
cana-3297	28	12	and	and	CCONJ
cana-3297	28	13	lexicographical	lexicographical	ADJ
cana-3297	28	14	ordering	ordering	NOUN
cana-3297	28	15	,	,	PUNCT
cana-3297	28	16	which	which	PRON
cana-3297	28	17	are	be	AUX
cana-3297	28	18	crucial	crucial	ADJ
cana-3297	28	19	in	in	ADP
cana-3297	28	20	various	various	ADJ
cana-3297	28	21	combinatorial	combinatorial	ADJ
cana-3297	28	22	algorithms	algorithm	NOUN
cana-3297	28	23	[	[	X
cana-3297	28	24	2	2	NUM
cana-3297	28	25	,	,	PUNCT
cana-3297	28	26	8	8	NUM
cana-3297	28	27	,	,	PUNCT
cana-3297	28	28	11	11	NUM
cana-3297	28	29	]	]	PUNCT
cana-3297	28	30	.	.	PUNCT
cana-3297	29	1	graph	graph	NOUN
cana-3297	29	2	-	-	PUNCT
cana-3297	29	3	based	base	VERB
cana-3297	29	4	machine	machine	NOUN
cana-3297	29	5	learning	learning	NOUN
cana-3297	29	6	(	(	PUNCT
cana-3297	29	7	gbml	gbml	ADJ
cana-3297	29	8	)	)	PUNCT
cana-3297	29	9	is	be	AUX
cana-3297	29	10	a	a	DET
cana-3297	29	11	subfield	subfield	NOUN
cana-3297	29	12	of	of	ADP
cana-3297	29	13	machine	machine	NOUN
cana-3297	29	14	learning	learning	NOUN
cana-3297	29	15	that	that	PRON
cana-3297	29	16	leverages	leverage	VERB
cana-3297	29	17	the	the	DET
cana-3297	29	18	structure	structure	NOUN
cana-3297	29	19	of	of	ADP
cana-3297	29	20	graphs	graph	NOUN
cana-3297	29	21	to	to	PART
cana-3297	29	22	model	model	VERB
cana-3297	29	23	and	and	CCONJ
cana-3297	29	24	analyze	analyze	VERB
cana-3297	29	25	data	datum	NOUN
cana-3297	29	26	[	[	X
cana-3297	29	27	6	6	NUM
cana-3297	29	28	,	,	PUNCT
cana-3297	29	29	5	5	NUM
cana-3297	29	30	]	]	PUNCT
cana-3297	29	31	.	.	PUNCT
cana-3297	30	1	in	in	ADP
cana-3297	30	2	gbml	gbml	ADJ
cana-3297	30	3	,	,	PUNCT
cana-3297	30	4	data	datum	NOUN
cana-3297	30	5	points	point	NOUN
cana-3297	30	6	are	be	AUX
cana-3297	30	7	represented	represent	VERB
cana-3297	30	8	as	as	ADP
cana-3297	30	9	nodes	node	NOUN
cana-3297	30	10	(	(	PUNCT
cana-3297	30	11	vertices	vertex	NOUN
cana-3297	30	12	)	)	PUNCT
cana-3297	30	13	of	of	ADP
cana-3297	30	14	a	a	DET
cana-3297	30	15	graph	graph	NOUN
cana-3297	30	16	,	,	PUNCT
cana-3297	30	17	and	and	CCONJ
cana-3297	30	18	the	the	DET
cana-3297	30	19	relationships	relationship	NOUN
cana-3297	30	20	between	between	ADP
cana-3297	30	21	them	they	PRON
cana-3297	30	22	are	be	AUX
cana-3297	30	23	represented	represent	VERB
cana-3297	30	24	as	as	ADP
cana-3297	30	25	edges	edge	NOUN
cana-3297	30	26	.	.	PUNCT
cana-3297	31	1	these	these	DET
cana-3297	31	2	edges	edge	NOUN
cana-3297	31	3	may	may	AUX
cana-3297	31	4	carry	carry	VERB
cana-3297	31	5	additional	additional	ADJ
cana-3297	31	6	information	information	NOUN
cana-3297	31	7	,	,	PUNCT
cana-3297	31	8	such	such	ADJ
cana-3297	31	9	as	as	ADP
cana-3297	31	10	weights	weight	NOUN
cana-3297	31	11	or	or	CCONJ
cana-3297	31	12	labels	label	NOUN
cana-3297	31	13	,	,	PUNCT
cana-3297	31	14	which	which	PRON
cana-3297	31	15	can	can	AUX
cana-3297	31	16	influence	influence	VERB
cana-3297	31	17	the	the	DET
cana-3297	31	18	learning	learning	NOUN
cana-3297	31	19	process	process	NOUN
cana-3297	31	20	[	[	X
cana-3297	31	21	4	4	NUM
cana-3297	31	22	]	]	PUNCT
cana-3297	31	23	.	.	PUNCT
cana-3297	32	1	the	the	DET
cana-3297	32	2	main	main	ADJ
cana-3297	32	3	idea	idea	NOUN
cana-3297	32	4	behind	behind	ADP
cana-3297	32	5	gbml	gbml	NOUN
cana-3297	32	6	is	be	AUX
cana-3297	32	7	that	that	SCONJ
cana-3297	32	8	the	the	DET
cana-3297	32	9	structure	structure	NOUN
cana-3297	32	10	of	of	ADP
cana-3297	32	11	the	the	DET
cana-3297	32	12	graph	graph	NOUN
cana-3297	32	13	provides	provide	VERB
cana-3297	32	14	useful	useful	ADJ
cana-3297	32	15	information	information	NOUN
cana-3297	32	16	that	that	PRON
cana-3297	32	17	can	can	AUX
cana-3297	32	18	be	be	AUX
cana-3297	32	19	used	use	VERB
cana-3297	32	20	to	to	PART
cana-3297	32	21	enhance	enhance	VERB
cana-3297	32	22	learning	learn	VERB
cana-3297	32	23	algorithms	algorithm	NOUN
cana-3297	32	24	.	.	PUNCT
cana-3297	33	1	this	this	PRON
cana-3297	33	2	can	can	AUX
cana-3297	33	3	be	be	AUX
cana-3297	33	4	particularly	particularly	ADV
cana-3297	33	5	useful	useful	ADJ
cana-3297	33	6	in	in	ADP
cana-3297	33	7	cases	case	NOUN
cana-3297	33	8	where	where	SCONJ
cana-3297	33	9	data	datum	NOUN
cana-3297	33	10	has	have	VERB
cana-3297	33	11	an	an	DET
cana-3297	33	12	inherent	inherent	ADJ
cana-3297	33	13	relationship	relationship	NOUN
cana-3297	33	14	or	or	CCONJ
cana-3297	33	15	structure	structure	NOUN
cana-3297	33	16	,	,	PUNCT
cana-3297	33	17	such	such	ADJ
cana-3297	33	18	as	as	ADP
cana-3297	33	19	social	social	ADJ
cana-3297	33	20	networks	network	NOUN
cana-3297	33	21	,	,	PUNCT
cana-3297	33	22	citation	citation	NOUN
cana-3297	33	23	networks	network	NOUN
cana-3297	33	24	,	,	PUNCT
cana-3297	33	25	recommendation	recommendation	NOUN
cana-3297	33	26	systems	system	NOUN
cana-3297	33	27	,	,	PUNCT
cana-3297	33	28	or	or	CCONJ
cana-3297	33	29	biological	biological	ADJ
cana-3297	33	30	networks	network	NOUN
cana-3297	33	31	[	[	X
cana-3297	33	32	18	18	NUM
cana-3297	33	33	,	,	PUNCT
cana-3297	33	34	21	21	NUM
cana-3297	33	35	]	]	PUNCT
cana-3297	33	36	.	.	PUNCT
cana-3297	34	1	a	a	DET
cana-3297	34	2	graph	graph	NOUN
cana-3297	34	3	can	can	AUX
cana-3297	34	4	naturally	naturally	ADV
cana-3297	34	5	represent	represent	VERB
cana-3297	34	6	partial	partial	ADJ
cana-3297	34	7	words	word	NOUN
cana-3297	34	8	by	by	ADP
cana-3297	34	9	mapping	map	VERB
cana-3297	34	10	sequences	sequence	NOUN
cana-3297	34	11	(	(	PUNCT
cana-3297	34	12	including	include	VERB
cana-3297	34	13	those	those	PRON
cana-3297	34	14	with	with	ADP
cana-3297	34	15	♢	♢	PROPN
cana-3297	34	16	)	)	PUNCT
cana-3297	34	17	to	to	ADP
cana-3297	34	18	nodes	node	NOUN
cana-3297	34	19	and	and	CCONJ
cana-3297	34	20	their	their	PRON
cana-3297	34	21	relationships	relationship	NOUN
cana-3297	34	22	(	(	PUNCT
cana-3297	34	23	e.g.	e.g.	ADV
cana-3297	34	24	,	,	PUNCT
cana-3297	34	25	similarity	similarity	NOUN
cana-3297	34	26	,	,	PUNCT
cana-3297	34	27	substring	substring	NOUN
cana-3297	34	28	containment	containment	NOUN
cana-3297	34	29	,	,	PUNCT
cana-3297	34	30	or	or	CCONJ
cana-3297	34	31	conjugacy	conjugacy	ADJ
cana-3297	34	32	)	)	PUNCT
cana-3297	34	33	to	to	AUX
cana-3297	34	34	edges	edge	NOUN
cana-3297	34	35	.	.	PUNCT
cana-3297	35	1	in	in	ADP
cana-3297	35	2	such	such	DET
cana-3297	35	3	a	a	DET
cana-3297	35	4	framework	framework	NOUN
cana-3297	35	5	,	,	PUNCT
cana-3297	35	6	lyndon	lyndon	PROPN
cana-3297	35	7	partial	partial	ADJ
cana-3297	35	8	words	word	NOUN
cana-3297	35	9	can	can	AUX
cana-3297	35	10	be	be	AUX
cana-3297	35	11	leveraged	leverage	VERB
cana-3297	35	12	to	to	PART
cana-3297	35	13	build	build	VERB
cana-3297	35	14	hierarchical	hierarchical	ADJ
cana-3297	35	15	representations	representation	NOUN
cana-3297	35	16	of	of	ADP
cana-3297	35	17	data	datum	NOUN
cana-3297	35	18	,	,	PUNCT
cana-3297	35	19	detect	detect	NOUN
cana-3297	35	20	communities	community	NOUN
cana-3297	35	21	,	,	PUNCT
cana-3297	35	22	and	and	CCONJ
cana-3297	35	23	analyze	analyze	VERB
cana-3297	35	24	sequence	sequence	NOUN
cana-3297	35	25	patterns	pattern	NOUN
cana-3297	35	26	efficiently	efficiently	ADV
cana-3297	36	1	[	[	X
cana-3297	36	2	11	11	NUM
cana-3297	36	3	,	,	PUNCT
cana-3297	36	4	12	12	NUM
cana-3297	36	5	]	]	PUNCT
cana-3297	36	6	.	.	PUNCT
cana-3297	37	1	the	the	DET
cana-3297	37	2	connection	connection	NOUN
cana-3297	37	3	between	between	ADP
cana-3297	37	4	lyndon	lyndon	PROPN
cana-3297	37	5	partial	partial	ADJ
cana-3297	37	6	words	word	NOUN
cana-3297	37	7	and	and	CCONJ
cana-3297	37	8	gbml	gbml	NOUN
cana-3297	37	9	arises	arise	VERB
cana-3297	37	10	from	from	ADP
cana-3297	37	11	their	their	PRON
cana-3297	37	12	combinatorial	combinatorial	ADJ
cana-3297	37	13	properties	property	NOUN
cana-3297	37	14	[	[	X
cana-3297	37	15	12	12	NUM
cana-3297	37	16	]	]	PUNCT
cana-3297	37	17	.	.	PUNCT
cana-3297	38	1	lyndon	lyndon	PROPN
cana-3297	38	2	partial	partial	ADJ
cana-3297	38	3	words	word	NOUN
cana-3297	38	4	can	can	AUX
cana-3297	38	5	serve	serve	VERB
cana-3297	38	6	as	as	ADP
cana-3297	38	7	building	build	VERB
cana-3297	38	8	blocks	block	NOUN
cana-3297	38	9	for	for	ADP
cana-3297	38	10	constructing	construct	VERB
cana-3297	38	11	graph	graph	NOUN
cana-3297	38	12	representations	representation	NOUN
cana-3297	38	13	of	of	ADP
cana-3297	38	14	datasets	dataset	NOUN
cana-3297	38	15	,	,	PUNCT
cana-3297	38	16	particularly	particularly	ADV
cana-3297	38	17	when	when	SCONJ
cana-3297	38	18	dealing	deal	VERB
cana-3297	38	19	with	with	ADP
cana-3297	38	20	incomplete	incomplete	ADJ
cana-3297	38	21	or	or	CCONJ
cana-3297	38	22	noisy	noisy	ADJ
cana-3297	38	23	sequences	sequence	NOUN
cana-3297	38	24	.	.	PUNCT
cana-3297	39	1	these	these	DET
cana-3297	39	2	graphs	graph	NOUN
cana-3297	39	3	can	can	AUX
cana-3297	39	4	then	then	ADV
cana-3297	39	5	be	be	AUX
cana-3297	39	6	analyzed	analyze	VERB
cana-3297	39	7	using	use	VERB
cana-3297	39	8	advanced	advanced	ADJ
cana-3297	39	9	techniques	technique	NOUN
cana-3297	39	10	such	such	ADJ
cana-3297	39	11	as	as	ADP
cana-3297	39	12	node	node	NOUN
cana-3297	39	13	embeddings	embedding	NOUN
cana-3297	39	14	,	,	PUNCT
cana-3297	39	15	spectral	spectral	ADJ
cana-3297	39	16	clustering	clustering	NOUN
cana-3297	39	17	,	,	PUNCT
cana-3297	39	18	and	and	CCONJ
cana-3297	39	19	graph	graph	VERB
cana-3297	39	20	neural	neural	ADJ
cana-3297	39	21	networks	network	NOUN
cana-3297	39	22	(	(	PUNCT
cana-3297	39	23	gnns	gnns	NOUN
cana-3297	39	24	)	)	PUNCT
cana-3297	40	1	[	[	X
cana-3297	40	2	11	11	NUM
cana-3297	40	3	,	,	PUNCT
cana-3297	40	4	7	7	NUM
cana-3297	40	5	]	]	PUNCT
cana-3297	40	6	to	to	PART
cana-3297	40	7	uncover	uncover	VERB
cana-3297	40	8	meaningful	meaningful	ADJ
cana-3297	40	9	patterns	pattern	NOUN
cana-3297	40	10	.	.	PUNCT
cana-3297	41	1	for	for	ADP
cana-3297	41	2	example	example	NOUN
cana-3297	41	3	,	,	PUNCT
cana-3297	41	4	in	in	ADP
cana-3297	41	5	bioinformatics	bioinformatics	NOUN
cana-3297	41	6	,	,	PUNCT
cana-3297	41	7	dna	dna	PROPN
cana-3297	41	8	sequences	sequence	NOUN
cana-3297	41	9	with	with	ADP
cana-3297	41	10	missing	missing	ADJ
cana-3297	41	11	or	or	CCONJ
cana-3297	41	12	ambiguous	ambiguous	ADJ
cana-3297	41	13	bases	basis	NOUN
cana-3297	41	14	(	(	PUNCT
cana-3297	41	15	e.g.	e.g.	ADV
cana-3297	41	16	,	,	PUNCT
cana-3297	41	17	due	due	ADP
cana-3297	41	18	to	to	ADP
cana-3297	41	19	sequencing	sequence	VERB
cana-3297	41	20	errors	error	NOUN
cana-3297	41	21	)	)	PUNCT
cana-3297	41	22	can	can	AUX
cana-3297	41	23	be	be	AUX
cana-3297	41	24	represented	represent	VERB
cana-3297	41	25	as	as	ADP
cana-3297	41	26	partial	partial	ADJ
cana-3297	41	27	words	word	NOUN
cana-3297	41	28	[	[	X
cana-3297	41	29	12	12	NUM
cana-3297	41	30	]	]	PUNCT
cana-3297	41	31	.	.	PUNCT
cana-3297	42	1	graph	graph	NOUN
cana-3297	42	2	-	-	PUNCT
cana-3297	42	3	based	base	VERB
cana-3297	42	4	approaches	approach	NOUN
cana-3297	42	5	can	can	AUX
cana-3297	42	6	then	then	ADV
cana-3297	42	7	classify	classify	VERB
cana-3297	42	8	these	these	DET
cana-3297	42	9	sequences	sequence	NOUN
cana-3297	42	10	,	,	PUNCT
cana-3297	42	11	predict	predict	VERB
cana-3297	42	12	structural	structural	ADJ
cana-3297	42	13	motifs	motif	NOUN
cana-3297	42	14	,	,	PUNCT
cana-3297	42	15	or	or	CCONJ
cana-3297	42	16	identify	identify	VERB
cana-3297	42	17	evolutionary	evolutionary	ADJ
cana-3297	42	18	relationships	relationship	NOUN
cana-3297	42	19	[	[	X
cana-3297	42	20	9	9	NUM
cana-3297	42	21	,	,	PUNCT
cana-3297	42	22	5	5	NUM
cana-3297	42	23	]	]	PUNCT
cana-3297	42	24	.	.	PUNCT
cana-3297	43	1	in	in	ADP
cana-3297	43	2	this	this	DET
cana-3297	43	3	paper	paper	NOUN
cana-3297	43	4	,	,	PUNCT
cana-3297	43	5	we	we	PRON
cana-3297	43	6	study	study	VERB
cana-3297	43	7	the	the	DET
cana-3297	43	8	integration	integration	NOUN
cana-3297	43	9	of	of	ADP
cana-3297	43	10	lyndon	lyndon	PROPN
cana-3297	43	11	partial	partial	ADJ
cana-3297	43	12	words	word	NOUN
cana-3297	43	13	into	into	ADP
cana-3297	43	14	gbmlby	gbmlby	NOUN
cana-3297	43	15	:	:	PUNCT
cana-3297	43	16	1	1	X
cana-3297	43	17	.	.	X
cana-3297	43	18	formalizing	formalize	VERB
cana-3297	43	19	the	the	DET
cana-3297	43	20	combinatorial	combinatorial	ADJ
cana-3297	43	21	properties	property	NOUN
cana-3297	43	22	of	of	ADP
cana-3297	43	23	lyndon	lyndon	PROPN
cana-3297	43	24	partial	partial	ADJ
cana-3297	43	25	words	word	NOUN
cana-3297	43	26	within	within	ADP
cana-3297	43	27	a	a	DET
cana-3297	43	28	graph	graph	NOUN
cana-3297	43	29	-	-	PUNCT
cana-3297	43	30	theoretic	theoretic	NOUN
cana-3297	43	31	framework	framework	NOUN
cana-3297	43	32	.	.	PUNCT
cana-3297	44	1	2	2	X
cana-3297	44	2	.	.	X
cana-3297	44	3	exploring	explore	VERB
cana-3297	44	4	the	the	DET
cana-3297	44	5	construction	construction	NOUN
cana-3297	44	6	of	of	ADP
cana-3297	44	7	graph	graph	NOUN
cana-3297	44	8	representations	representation	NOUN
cana-3297	44	9	for	for	ADP
cana-3297	44	10	datasets	dataset	NOUN
cana-3297	44	11	containing	contain	VERB
cana-3297	44	12	lyndon	lyndon	PROPN
cana-3297	44	13	partial	partial	ADJ
cana-3297	44	14	words	word	NOUN
cana-3297	44	15	.	.	PUNCT
cana-3297	45	1	3	3	X
cana-3297	45	2	.	.	X
cana-3297	45	3	applying	apply	VERB
cana-3297	45	4	gbml	gbml	ADJ
cana-3297	45	5	techniques	technique	NOUN
cana-3297	45	6	to	to	PART
cana-3297	45	7	analyze	analyze	VERB
cana-3297	45	8	these	these	DET
cana-3297	45	9	graphs	graph	NOUN
cana-3297	45	10	,	,	PUNCT
cana-3297	45	11	focusing	focus	VERB
cana-3297	45	12	on	on	ADP
cana-3297	45	13	community	community	NOUN
cana-3297	45	14	detection	detection	NOUN
cana-3297	45	15	and	and	CCONJ
cana-3297	45	16	similarity	similarity	NOUN
cana-3297	45	17	analysis	analysis	NOUN
cana-3297	45	18	.	.	PUNCT
cana-3297	46	1	communications	communication	NOUN
cana-3297	46	2	on	on	ADP
cana-3297	46	3	applied	apply	VERB
cana-3297	46	4	nonlinear	nonlinear	ADJ
cana-3297	46	5	analysis	analysis	NOUN
cana-3297	46	6	issn	issn	NOUN
cana-3297	46	7	:	:	PUNCT
cana-3297	46	8	1074	1074	NUM
cana-3297	46	9	-	-	PUNCT
cana-3297	46	10	133x	133x	NUM
cana-3297	46	11	vol	vol	NOUN
cana-3297	46	12	32	32	NUM
cana-3297	46	13	no	no	NOUN
cana-3297	46	14	.	.	PUNCT
cana-3297	47	1	6s	6s	NUM
cana-3297	47	2	(	(	PUNCT
cana-3297	47	3	2025	2025	NUM
cana-3297	47	4	)	)	PUNCT
cana-3297	47	5	302	302	NUM
cana-3297	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	47	7	4	4	NUM
cana-3297	47	8	.	.	PUNCT
cana-3297	48	1	demonstrating	demonstrate	VERB
cana-3297	48	2	the	the	DET
cana-3297	48	3	utility	utility	NOUN
cana-3297	48	4	of	of	ADP
cana-3297	48	5	these	these	DET
cana-3297	48	6	methods	method	NOUN
cana-3297	48	7	in	in	ADP
cana-3297	48	8	real	real	ADJ
cana-3297	48	9	-	-	PUNCT
cana-3297	48	10	world	world	NOUN
cana-3297	48	11	applications	application	NOUN
cana-3297	48	12	,	,	PUNCT
cana-3297	48	13	such	such	ADJ
cana-3297	48	14	as	as	ADP
cana-3297	48	15	sequence	sequence	NOUN
cana-3297	48	16	alignment	alignment	NOUN
cana-3297	48	17	in	in	ADP
cana-3297	48	18	bioinformatics	bioinformatics	NOUN
cana-3297	48	19	and	and	CCONJ
cana-3297	48	20	text	text	NOUN
cana-3297	48	21	clustering	cluster	VERB
cana-3297	48	22	in	in	ADP
cana-3297	48	23	data	datum	NOUN
cana-3297	48	24	mining	mining	NOUN
cana-3297	48	25	.	.	PUNCT
cana-3297	49	1	the	the	DET
cana-3297	49	2	results	result	NOUN
cana-3297	49	3	presented	present	VERB
cana-3297	49	4	here	here	ADV
cana-3297	49	5	highlight	highlight	VERB
cana-3297	49	6	the	the	DET
cana-3297	49	7	potential	potential	NOUN
cana-3297	49	8	of	of	ADP
cana-3297	49	9	combining	combine	VERB
cana-3297	49	10	the	the	DET
cana-3297	49	11	algebraic	algebraic	ADJ
cana-3297	49	12	structure	structure	NOUN
cana-3297	49	13	of	of	ADP
cana-3297	49	14	lyndon	lyndon	PROPN
cana-3297	49	15	partial	partial	ADJ
cana-3297	49	16	words	word	NOUN
cana-3297	49	17	with	with	ADP
cana-3297	49	18	the	the	DET
cana-3297	49	19	analytical	analytical	ADJ
cana-3297	49	20	power	power	NOUN
cana-3297	49	21	of	of	ADP
cana-3297	49	22	gbml	gbml	ADJ
cana-3297	49	23	[	[	X
cana-3297	49	24	7	7	NUM
cana-3297	49	25	]	]	PUNCT
cana-3297	49	26	.	.	PUNCT
cana-3297	50	1	by	by	ADP
cana-3297	50	2	bridging	bridge	VERB
cana-3297	50	3	these	these	DET
cana-3297	50	4	fields	field	NOUN
cana-3297	50	5	,	,	PUNCT
cana-3297	50	6	we	we	PRON
cana-3297	50	7	provide	provide	VERB
cana-3297	50	8	a	a	DET
cana-3297	50	9	novel	novel	ADJ
cana-3297	50	10	methodology	methodology	NOUN
cana-3297	50	11	for	for	ADP
cana-3297	50	12	handling	handle	VERB
cana-3297	50	13	incomplete	incomplete	ADJ
cana-3297	50	14	data	datum	NOUN
cana-3297	50	15	in	in	ADP
cana-3297	50	16	structured	structured	ADJ
cana-3297	50	17	datasets	dataset	NOUN
cana-3297	50	18	,	,	PUNCT
cana-3297	50	19	contributing	contribute	VERB
cana-3297	50	20	to	to	ADP
cana-3297	50	21	both	both	CCONJ
cana-3297	50	22	theoretical	theoretical	ADJ
cana-3297	50	23	advancements	advancement	NOUN
cana-3297	50	24	and	and	CCONJ
cana-3297	50	25	practical	practical	ADJ
cana-3297	50	26	applications	application	NOUN
cana-3297	50	27	[	[	X
cana-3297	50	28	11	11	NUM
cana-3297	50	29	,	,	PUNCT
cana-3297	50	30	21	21	NUM
cana-3297	50	31	]	]	PUNCT
cana-3297	50	32	.	.	PUNCT
cana-3297	51	1	2	2	X
cana-3297	51	2	.	.	X
cana-3297	51	3	preliminaries	preliminary	NOUN
cana-3297	51	4	before	before	ADP
cana-3297	51	5	delving	delve	VERB
cana-3297	51	6	deeper	deeply	ADV
cana-3297	51	7	into	into	ADP
cana-3297	51	8	the	the	DET
cana-3297	51	9	properties	property	NOUN
cana-3297	51	10	and	and	CCONJ
cana-3297	51	11	applications	application	NOUN
cana-3297	51	12	of	of	ADP
cana-3297	51	13	lyndon	lyndon	PROPN
cana-3297	51	14	partial	partial	ADJ
cana-3297	51	15	words	word	NOUN
cana-3297	51	16	,	,	PUNCT
cana-3297	51	17	we	we	PRON
cana-3297	51	18	establish	establish	VERB
cana-3297	51	19	foundational	foundational	ADJ
cana-3297	51	20	definitions	definition	NOUN
cana-3297	51	21	and	and	CCONJ
cana-3297	51	22	examples	example	NOUN
cana-3297	51	23	that	that	PRON
cana-3297	51	24	are	be	AUX
cana-3297	51	25	necessary	necessary	ADJ
cana-3297	51	26	for	for	ADP
cana-3297	51	27	understanding	understand	VERB
cana-3297	51	28	the	the	DET
cana-3297	51	29	concept	concept	NOUN
cana-3297	51	30	and	and	CCONJ
cana-3297	51	31	its	its	PRON
cana-3297	51	32	role	role	NOUN
cana-3297	51	33	in	in	ADP
cana-3297	51	34	graph	graph	NOUN
cana-3297	51	35	-	-	PUNCT
cana-3297	51	36	based	base	VERB
cana-3297	51	37	machine	machine	NOUN
cana-3297	51	38	learning	learning	NOUN
cana-3297	51	39	.	.	PUNCT
cana-3297	52	1	definition	definition	NOUN
cana-3297	52	2	2.1	2.1	NUM
cana-3297	52	3	(	(	PUNCT
cana-3297	52	4	partial	partial	ADJ
cana-3297	52	5	word	word	NOUN
cana-3297	52	6	[	[	X
cana-3297	52	7	3	3	NUM
cana-3297	52	8	]	]	NUM
cana-3297	52	9	)	)	PUNCT
cana-3297	52	10	.	.	PUNCT
cana-3297	53	1	a	a	DET
cana-3297	53	2	partial	partial	ADJ
cana-3297	53	3	word	word	NOUN
cana-3297	53	4	over	over	ADP
cana-3297	53	5	an	an	DET
cana-3297	53	6	alphabet	alphabet	PROPN
cana-3297	53	7	σ	σ	PROPN
cana-3297	53	8	is	be	AUX
cana-3297	53	9	a	a	DET
cana-3297	53	10	sequence	sequence	NOUN
cana-3297	53	11	of	of	ADP
cana-3297	53	12	symbols	symbol	NOUN
cana-3297	53	13	from	from	ADP
cana-3297	53	14	σ∪	σ∪	PROPN
cana-3297	53	15	{	{	PUNCT
cana-3297	53	16	♢	♢	PROPN
cana-3297	53	17	}	}	PUNCT
cana-3297	53	18	,	,	PUNCT
cana-3297	53	19	where	where	SCONJ
cana-3297	53	20	♢	♢	PROPN
cana-3297	53	21	denotes	denote	VERB
cana-3297	53	22	a	a	DET
cana-3297	53	23	"	"	PUNCT
cana-3297	53	24	hole	hole	NOUN
cana-3297	53	25	"	"	PUNCT
cana-3297	53	26	or	or	CCONJ
cana-3297	53	27	an	an	DET
cana-3297	53	28	undefined	undefined	ADJ
cana-3297	53	29	position	position	NOUN
cana-3297	53	30	.	.	PUNCT
cana-3297	54	1	formally	formally	ADV
cana-3297	54	2	,	,	PUNCT
cana-3297	54	3	a	a	DET
cana-3297	54	4	partial	partial	ADJ
cana-3297	54	5	word	word	NOUN
cana-3297	54	6	w	w	ADP
cana-3297	54	7	of	of	ADP
cana-3297	54	8	length	length	NOUN
cana-3297	54	9	n	n	NUM
cana-3297	54	10	is	be	AUX
cana-3297	54	11	represented	represent	VERB
cana-3297	54	12	as	as	ADP
cana-3297	54	13	w	w	NOUN
cana-3297	54	14	=	=	NOUN
cana-3297	54	15	w1w2	w1w2	NOUN
cana-3297	54	16	.	.	PUNCT
cana-3297	54	17	.	.	PUNCT
cana-3297	54	18	.	.	PUNCT
cana-3297	55	1	wn	wn	PROPN
cana-3297	55	2	,	,	PUNCT
cana-3297	55	3	where	where	SCONJ
cana-3297	55	4	wi	wi	PROPN
cana-3297	55	5	∈	∈	PROPN
cana-3297	55	6	σ	σ	PROPN
cana-3297	55	7	∪	∪	X
cana-3297	55	8	{	{	PUNCT
cana-3297	55	9	♢	♢	PROPN
cana-3297	55	10	}	}	PUNCT
cana-3297	55	11	for	for	ADP
cana-3297	55	12	all	all	DET
cana-3297	55	13	1	1	NUM
cana-3297	55	14	≤	≤	NUM
cana-3297	55	15	i	i	PRON
cana-3297	55	16	≤	≤	PROPN
cana-3297	55	17	n.	n.	VERB
cana-3297	55	18	a	a	DET
cana-3297	55	19	partial	partial	ADJ
cana-3297	55	20	word	word	NOUN
cana-3297	55	21	can	can	AUX
cana-3297	55	22	match	match	VERB
cana-3297	55	23	multiple	multiple	ADJ
cana-3297	55	24	complete	complete	ADJ
cana-3297	55	25	words	word	NOUN
cana-3297	55	26	by	by	ADP
cana-3297	55	27	substituting	substitute	VERB
cana-3297	55	28	the	the	DET
cana-3297	55	29	holes	hole	NOUN
cana-3297	55	30	with	with	ADP
cana-3297	55	31	symbols	symbol	NOUN
cana-3297	55	32	from	from	ADP
cana-3297	55	33	σ	σ	PROPN
cana-3297	55	34	.	.	PUNCT
cana-3297	56	1	definition	definition	NOUN
cana-3297	56	2	2.2	2.2	NUM
cana-3297	56	3	(	(	PUNCT
cana-3297	56	4	primitive	primitive	ADJ
cana-3297	56	5	partial	partial	ADJ
cana-3297	56	6	word	word	NOUN
cana-3297	56	7	[	[	X
cana-3297	56	8	14	14	NUM
cana-3297	56	9	]	]	NUM
cana-3297	56	10	)	)	PUNCT
cana-3297	56	11	.	.	PUNCT
cana-3297	57	1	a	a	DET
cana-3297	57	2	partial	partial	ADJ
cana-3297	57	3	word	word	NOUN
cana-3297	57	4	w	w	NOUN
cana-3297	57	5	is	be	AUX
cana-3297	57	6	primitive	primitive	ADJ
cana-3297	57	7	if	if	SCONJ
cana-3297	57	8	it	it	PRON
cana-3297	57	9	can	can	AUX
cana-3297	57	10	not	not	PART
cana-3297	57	11	be	be	AUX
cana-3297	57	12	expressed	express	VERB
cana-3297	57	13	as	as	ADP
cana-3297	57	14	uk	uk	PROPN
cana-3297	57	15	,	,	PUNCT
cana-3297	57	16	where	where	SCONJ
cana-3297	57	17	u	u	NOUN
cana-3297	57	18	is	be	AUX
cana-3297	57	19	a	a	DET
cana-3297	57	20	partial	partial	ADJ
cana-3297	57	21	word	word	NOUN
cana-3297	57	22	and	and	CCONJ
cana-3297	57	23	k	k	X
cana-3297	57	24	>	>	X
cana-3297	58	1	1	1	X
cana-3297	58	2	.	.	PUNCT
cana-3297	58	3	in	in	ADP
cana-3297	58	4	other	other	ADJ
cana-3297	58	5	words	word	NOUN
cana-3297	58	6	,	,	PUNCT
cana-3297	58	7	w	w	NOUN
cana-3297	58	8	does	do	AUX
cana-3297	58	9	not	not	PART
cana-3297	58	10	consist	consist	VERB
cana-3297	58	11	of	of	ADP
cana-3297	58	12	repeated	repeat	VERB
cana-3297	58	13	concatenations	concatenation	NOUN
cana-3297	58	14	of	of	ADP
cana-3297	58	15	a	a	DET
cana-3297	58	16	shorter	short	ADJ
cana-3297	58	17	partial	partial	ADJ
cana-3297	58	18	word	word	NOUN
cana-3297	58	19	.	.	PUNCT
cana-3297	59	1	definition	definition	NOUN
cana-3297	59	2	2.3	2.3	NUM
cana-3297	59	3	(	(	PUNCT
cana-3297	59	4	lyndon	lyndon	NOUN
cana-3297	59	5	partial	partial	ADJ
cana-3297	59	6	word	word	NOUN
cana-3297	59	7	[	[	X
cana-3297	59	8	14	14	NUM
cana-3297	59	9	]	]	NUM
cana-3297	59	10	)	)	PUNCT
cana-3297	59	11	.	.	PUNCT
cana-3297	60	1	a	a	DET
cana-3297	60	2	finite	finite	ADJ
cana-3297	60	3	lyndon	lyndon	PROPN
cana-3297	60	4	partial	partial	ADJ
cana-3297	60	5	word	word	NOUN
cana-3297	60	6	l	l	PROPN
cana-3297	60	7	♢	♢	PROPN
cana-3297	60	8	belongs	belong	VERB
cana-3297	60	9	to	to	ADP
cana-3297	60	10	the	the	DET
cana-3297	60	11	set	set	NOUN
cana-3297	60	12	of	of	ADP
cana-3297	60	13	all	all	DET
cana-3297	60	14	lyndon	lyndon	PROPN
cana-3297	60	15	partial	partial	ADJ
cana-3297	60	16	words	word	NOUN
cana-3297	60	17	l	l	PROPN
cana-3297	60	18	♢	♢	PROPN
cana-3297	60	19	over	over	ADP
cana-3297	60	20	the	the	DET
cana-3297	60	21	ordered	order	VERB
cana-3297	60	22	alphabet	alphabet	PROPN
cana-3297	60	23	σ	σ	PROPN
cana-3297	60	24	♢	♢	PROPN
cana-3297	60	25	=	=	X
cana-3297	60	26	σk	σk	ADJ
cana-3297	60	27	∪	∪	X
cana-3297	60	28	{	{	PUNCT
cana-3297	60	29	♢	♢	NOUN
cana-3297	60	30	}	}	PUNCT
cana-3297	60	31	,	,	PUNCT
cana-3297	60	32	where	where	SCONJ
cana-3297	60	33	σk	σk	ADV
cana-3297	60	34	=	=	PUNCT
cana-3297	60	35	{	{	PUNCT
cana-3297	60	36	a1	a1	NOUN
cana-3297	60	37	≺	≺	NOUN
cana-3297	60	38	a2	a2	PROPN
cana-3297	60	39	≺	≺	NOUN
cana-3297	60	40	·	·	PUNCT
cana-3297	60	41	·	·	PUNCT
cana-3297	60	42	·	·	PUNCT
cana-3297	60	43	≺	≺	NOUN
cana-3297	60	44	ak	ak	PROPN
cana-3297	60	45	}	}	PUNCT
cana-3297	60	46	.	.	PUNCT
cana-3297	61	1	it	it	PRON
cana-3297	61	2	satisfies	satisfy	VERB
cana-3297	61	3	the	the	DET
cana-3297	61	4	following	follow	VERB
cana-3297	61	5	properties	property	NOUN
cana-3297	61	6	:	:	PUNCT
cana-3297	61	7	•	•	NUM
cana-3297	61	8	l	l	NOUN
cana-3297	61	9	♢	♢	PROPN
cana-3297	61	10	is	be	AUX
cana-3297	61	11	non	non	ADJ
cana-3297	61	12	-	-	ADJ
cana-3297	61	13	empty	empty	ADJ
cana-3297	61	14	and	and	CCONJ
cana-3297	61	15	primitive	primitive	ADJ
cana-3297	61	16	.	.	PUNCT
cana-3297	62	1	•	•	NUM
cana-3297	63	1	l	l	NOUN
cana-3297	63	2	♢	♢	PROPN
cana-3297	63	3	is	be	AUX
cana-3297	63	4	lexicographically	lexicographically	ADV
cana-3297	63	5	smaller	small	ADJ
cana-3297	63	6	than	than	ADP
cana-3297	63	7	all	all	PRON
cana-3297	63	8	its	its	PRON
cana-3297	63	9	conjugates	conjugate	NOUN
cana-3297	63	10	(	(	PUNCT
cana-3297	63	11	rotations	rotation	NOUN
cana-3297	63	12	)	)	PUNCT
cana-3297	63	13	.	.	PUNCT
cana-3297	64	1	a	a	DET
cana-3297	64	2	lyndon	lyndon	PROPN
cana-3297	64	3	partial	partial	ADJ
cana-3297	64	4	word	word	NOUN
cana-3297	64	5	can	can	AUX
cana-3297	64	6	not	not	PART
cana-3297	64	7	be	be	AUX
cana-3297	64	8	factored	factor	VERB
cana-3297	64	9	into	into	ADP
cana-3297	64	10	an	an	DET
cana-3297	64	11	alphabetically	alphabetically	ADV
cana-3297	64	12	non	non	ADJ
cana-3297	64	13	-	-	ADJ
cana-3297	64	14	increasing	increasing	ADJ
cana-3297	64	15	sequence	sequence	NOUN
cana-3297	64	16	of	of	ADP
cana-3297	64	17	shorter	short	ADJ
cana-3297	64	18	lyndon	lyndon	NOUN
cana-3297	64	19	partial	partial	ADJ
cana-3297	64	20	words	word	NOUN
cana-3297	64	21	.	.	PUNCT
cana-3297	65	1	example	example	NOUN
cana-3297	65	2	2.4	2.4	NUM
cana-3297	65	3	.	.	PUNCT
cana-3297	66	1	consider	consider	VERB
cana-3297	66	2	the	the	DET
cana-3297	66	3	ordered	order	VERB
cana-3297	66	4	alphabet	alphabet	PROPN
cana-3297	66	5	σ	σ	PROPN
cana-3297	66	6	♢	♢	PROPN
cana-3297	66	7	=	=	X
cana-3297	66	8	{	{	PUNCT
cana-3297	66	9	a	a	DET
cana-3297	66	10	≺	≺	NOUN
cana-3297	66	11	b	b	NOUN
cana-3297	66	12	}	}	PUNCT
cana-3297	66	13	∪	∪	NOUN
cana-3297	66	14	{	{	PUNCT
cana-3297	66	15	♢	♢	NOUN
cana-3297	66	16	}	}	PUNCT
cana-3297	66	17	,	,	PUNCT
cana-3297	66	18	where	where	SCONJ
cana-3297	66	19	the	the	DET
cana-3297	66	20	order	order	NOUN
cana-3297	66	21	relations	relation	NOUN
cana-3297	66	22	are	be	AUX
cana-3297	66	23	a	a	DET
cana-3297	66	24	⪯	⪯	NOUN
cana-3297	66	25	♢	♢	PROPN
cana-3297	66	26	and	and	CCONJ
cana-3297	66	27	♢	♢	PROPN
cana-3297	66	28	⪯	⪯	PROPN
cana-3297	66	29	b.	b.	PROPN
cana-3297	66	30	the	the	DET
cana-3297	66	31	set	set	NOUN
cana-3297	66	32	of	of	ADP
cana-3297	66	33	finite	finite	ADJ
cana-3297	66	34	lyndon	lyndon	PROPN
cana-3297	66	35	partial	partial	ADJ
cana-3297	66	36	words	word	NOUN
cana-3297	66	37	of	of	ADP
cana-3297	66	38	length	length	NOUN
cana-3297	66	39	≤	≤	NUM
cana-3297	66	40	4	4	NUM
cana-3297	66	41	includes	include	VERB
cana-3297	66	42	:	:	PUNCT
cana-3297	66	43	{	{	PUNCT
cana-3297	66	44	a	a	PRON
cana-3297	66	45	♢	♢	PROPN
cana-3297	66	46	,	,	PUNCT
cana-3297	66	47	♢	♢	PROPN
cana-3297	66	48	b	b	PROPN
cana-3297	66	49	,	,	PUNCT
cana-3297	66	50	aa	aa	PROPN
cana-3297	66	51	♢	♢	PROPN
cana-3297	66	52	,	,	PUNCT
cana-3297	66	53	a	a	PRON
cana-3297	66	54	♢	♢	PROPN
cana-3297	66	55	b	b	PROPN
cana-3297	66	56	,	,	PUNCT
cana-3297	66	57	♢	♢	PROPN
cana-3297	66	58	bb	bb	PROPN
cana-3297	66	59	,	,	PUNCT
cana-3297	66	60	aaa	aaa	PROPN
cana-3297	66	61	♢	♢	PROPN
cana-3297	66	62	,	,	PUNCT
cana-3297	66	63	aa	aa	PROPN
cana-3297	66	64	♢	♢	PROPN
cana-3297	66	65	b	b	PROPN
cana-3297	66	66	,	,	PUNCT
cana-3297	66	67	a	a	DET
cana-3297	66	68	♢	♢	PROPN
cana-3297	66	69	bb	bb	PROPN
cana-3297	66	70	,	,	PUNCT
cana-3297	66	71	♢	♢	PROPN
cana-3297	66	72	bbb	bbb	PROPN
cana-3297	66	73	}	}	PUNCT
cana-3297	66	74	.	.	PUNCT
cana-3297	67	1	remark	remark	VERB
cana-3297	67	2	2.5	2.5	NUM
cana-3297	67	3	(	(	PUNCT
cana-3297	67	4	primitive	primitive	ADJ
cana-3297	67	5	vs	vs	ADP
cana-3297	67	6	lyndon	lyndon	NOUN
cana-3297	67	7	[	[	X
cana-3297	67	8	3	3	NUM
cana-3297	67	9	]	]	NUM
cana-3297	67	10	)	)	PUNCT
cana-3297	67	11	.	.	PUNCT
cana-3297	68	1	any	any	DET
cana-3297	68	2	lyndon	lyndon	PROPN
cana-3297	68	3	partial	partial	ADJ
cana-3297	68	4	word	word	NOUN
cana-3297	68	5	is	be	AUX
cana-3297	68	6	primitive	primitive	ADJ
cana-3297	68	7	,	,	PUNCT
cana-3297	68	8	but	but	CCONJ
cana-3297	68	9	the	the	DET
cana-3297	68	10	converse	converse	NOUN
cana-3297	68	11	is	be	AUX
cana-3297	68	12	not	not	PART
cana-3297	68	13	true	true	ADJ
cana-3297	68	14	.	.	PUNCT
cana-3297	69	1	for	for	ADP
cana-3297	69	2	instance	instance	NOUN
cana-3297	69	3	,	,	PUNCT
cana-3297	69	4	the	the	DET
cana-3297	69	5	partial	partial	ADJ
cana-3297	69	6	word	word	NOUN
cana-3297	69	7	♢	♢	PROPN
cana-3297	69	8	abb	abb	PROPN
cana-3297	69	9	is	be	AUX
cana-3297	69	10	primitive	primitive	ADJ
cana-3297	69	11	but	but	CCONJ
cana-3297	69	12	not	not	PART
cana-3297	69	13	lyndon	lyndon	NOUN
cana-3297	69	14	because	because	SCONJ
cana-3297	69	15	its	its	PRON
cana-3297	69	16	conjugacy	conjugacy	PROPN
cana-3297	69	17	class	class	NOUN
cana-3297	69	18	does	do	AUX
cana-3297	69	19	not	not	PART
cana-3297	69	20	contain	contain	VERB
cana-3297	69	21	a	a	DET
cana-3297	69	22	lyndon	lyndon	NOUN
cana-3297	69	23	partial	partial	ADJ
cana-3297	69	24	word	word	NOUN
cana-3297	69	25	.	.	PUNCT
cana-3297	70	1	this	this	DET
cana-3297	70	2	non	non	ADJ
cana-3297	70	3	-	-	ADJ
cana-3297	70	4	total	total	ADJ
cana-3297	70	5	ordering	ordering	NOUN
cana-3297	70	6	arises	arise	VERB
cana-3297	70	7	due	due	ADP
cana-3297	70	8	to	to	ADP
cana-3297	70	9	the	the	DET
cana-3297	70	10	presence	presence	NOUN
cana-3297	70	11	of	of	ADP
cana-3297	70	12	holes	hole	NOUN
cana-3297	70	13	(	(	PUNCT
cana-3297	70	14	♢	♢	PROPN
cana-3297	70	15	)	)	PUNCT
cana-3297	70	16	,	,	PUNCT
cana-3297	70	17	which	which	PRON
cana-3297	70	18	disrupts	disrupt	VERB
cana-3297	70	19	the	the	DET
cana-3297	70	20	strict	strict	ADJ
cana-3297	70	21	lexicographical	lexicographical	ADJ
cana-3297	70	22	comparison	comparison	NOUN
cana-3297	70	23	.	.	PUNCT
cana-3297	71	1	definition	definition	NOUN
cana-3297	71	2	2.6	2.6	NUM
cana-3297	71	3	(	(	PUNCT
cana-3297	71	4	conjugates	conjugate	NOUN
cana-3297	71	5	and	and	CCONJ
cana-3297	71	6	conjugacy	conjugacy	ADJ
cana-3297	71	7	class	class	NOUN
cana-3297	71	8	[	[	X
cana-3297	71	9	3	3	NUM
cana-3297	71	10	,	,	PUNCT
cana-3297	71	11	14	14	NUM
cana-3297	71	12	]	]	PUNCT
cana-3297	71	13	)	)	PUNCT
cana-3297	71	14	.	.	PUNCT
cana-3297	72	1	two	two	NUM
cana-3297	72	2	partial	partial	ADJ
cana-3297	72	3	words	word	NOUN
cana-3297	72	4	u	u	NOUN
cana-3297	72	5	and	and	CCONJ
cana-3297	72	6	v	v	NOUN
cana-3297	72	7	are	be	AUX
cana-3297	72	8	conjugates	conjugate	NOUN
cana-3297	72	9	if	if	SCONJ
cana-3297	72	10	there	there	PRON
cana-3297	72	11	exist	exist	VERB
cana-3297	72	12	partial	partial	ADJ
cana-3297	72	13	words	word	NOUN
cana-3297	72	14	x	x	PUNCT
cana-3297	72	15	and	and	CCONJ
cana-3297	72	16	y	y	PROPN
cana-3297	72	17	such	such	ADJ
cana-3297	72	18	that	that	DET
cana-3297	72	19	u	u	NOUN
cana-3297	72	20	=	=	PUNCT
cana-3297	72	21	xy	xy	PROPN
cana-3297	72	22	and	and	CCONJ
cana-3297	72	23	v	v	NOUN
cana-3297	72	24	=	=	SYM
cana-3297	72	25	yx	yx	PROPN
cana-3297	72	26	.	.	PUNCT
cana-3297	73	1	the	the	DET
cana-3297	73	2	conjugacy	conjugacy	PROPN
cana-3297	73	3	class	class	NOUN
cana-3297	73	4	of	of	ADP
cana-3297	73	5	a	a	DET
cana-3297	73	6	partial	partial	ADJ
cana-3297	73	7	word	word	NOUN
cana-3297	73	8	u	u	NOUN
cana-3297	73	9	is	be	AUX
cana-3297	73	10	the	the	DET
cana-3297	73	11	set	set	NOUN
cana-3297	73	12	of	of	ADP
cana-3297	73	13	all	all	DET
cana-3297	73	14	partial	partial	ADJ
cana-3297	73	15	words	word	NOUN
cana-3297	73	16	conjugate	conjugate	ADJ
cana-3297	73	17	to	to	ADP
cana-3297	73	18	u.	u.	NOUN
cana-3297	73	19	communications	communication	NOUN
cana-3297	73	20	on	on	ADP
cana-3297	73	21	applied	apply	VERB
cana-3297	73	22	nonlinear	nonlinear	ADJ
cana-3297	73	23	analysis	analysis	NOUN
cana-3297	73	24	issn	issn	NOUN
cana-3297	73	25	:	:	PUNCT
cana-3297	73	26	1074	1074	NUM
cana-3297	73	27	-	-	PUNCT
cana-3297	73	28	133x	133x	NUM
cana-3297	73	29	vol	vol	NOUN
cana-3297	73	30	32	32	NUM
cana-3297	73	31	no	no	NOUN
cana-3297	73	32	.	.	PUNCT
cana-3297	74	1	6s	6s	NUM
cana-3297	74	2	(	(	PUNCT
cana-3297	74	3	2025	2025	NUM
cana-3297	74	4	)	)	PUNCT
cana-3297	74	5	303	303	NUM
cana-3297	74	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	74	7	remark	remark	NOUN
cana-3297	74	8	2.7	2.7	NUM
cana-3297	74	9	.	.	PUNCT
cana-3297	75	1	the	the	DET
cana-3297	75	2	study	study	NOUN
cana-3297	75	3	of	of	ADP
cana-3297	75	4	lyndon	lyndon	PROPN
cana-3297	75	5	partial	partial	ADJ
cana-3297	75	6	words	word	NOUN
cana-3297	75	7	often	often	ADV
cana-3297	75	8	involves	involve	VERB
cana-3297	75	9	constructing	construct	VERB
cana-3297	75	10	minimal	minimal	ADJ
cana-3297	75	11	representatives	representative	NOUN
cana-3297	75	12	from	from	ADP
cana-3297	75	13	their	their	PRON
cana-3297	75	14	conjugacy	conjugacy	ADJ
cana-3297	75	15	classes	class	NOUN
cana-3297	75	16	.	.	PUNCT
cana-3297	76	1	these	these	DET
cana-3297	76	2	minimal	minimal	ADJ
cana-3297	76	3	representatives	representative	NOUN
cana-3297	76	4	facilitate	facilitate	VERB
cana-3297	76	5	efficient	efficient	ADJ
cana-3297	76	6	algorithms	algorithm	NOUN
cana-3297	76	7	in	in	ADP
cana-3297	76	8	string	string	NOUN
cana-3297	76	9	processing	processing	NOUN
cana-3297	76	10	and	and	CCONJ
cana-3297	76	11	combinatorial	combinatorial	ADJ
cana-3297	76	12	enumeration	enumeration	NOUN
cana-3297	76	13	.	.	PUNCT
cana-3297	77	1	example	example	NOUN
cana-3297	77	2	2.8	2.8	NUM
cana-3297	77	3	(	(	PUNCT
cana-3297	77	4	conjugates	conjugate	NOUN
cana-3297	77	5	of	of	ADP
cana-3297	77	6	a	a	DET
cana-3297	77	7	partial	partial	ADJ
cana-3297	77	8	word	word	NOUN
cana-3297	77	9	)	)	PUNCT
cana-3297	77	10	.	.	PUNCT
cana-3297	78	1	consider	consider	VERB
cana-3297	78	2	the	the	DET
cana-3297	78	3	partial	partial	ADJ
cana-3297	78	4	word	word	NOUN
cana-3297	78	5	w	w	NOUN
cana-3297	78	6	=	=	PUNCT
cana-3297	78	7	a	a	DET
cana-3297	78	8	♢	♢	PROPN
cana-3297	78	9	b	b	PROPN
cana-3297	78	10	over	over	ADP
cana-3297	78	11	σ	σ	PROPN
cana-3297	78	12	♢	♢	PROPN
cana-3297	78	13	=	=	X
cana-3297	78	14	{	{	PUNCT
cana-3297	78	15	a	a	PRON
cana-3297	78	16	,	,	PUNCT
cana-3297	78	17	b	b	NOUN
cana-3297	78	18	}	}	PUNCT
cana-3297	78	19	∪	∪	X
cana-3297	78	20	{	{	PUNCT
cana-3297	78	21	♢	♢	NOUN
cana-3297	78	22	}	}	PUNCT
cana-3297	78	23	.	.	PUNCT
cana-3297	79	1	the	the	DET
cana-3297	79	2	conjugates	conjugate	NOUN
cana-3297	79	3	of	of	ADP
cana-3297	79	4	w	w	NOUN
cana-3297	79	5	are	be	AUX
cana-3297	79	6	:	:	PUNCT
cana-3297	79	7	{	{	PUNCT
cana-3297	79	8	a	a	DET
cana-3297	79	9	♢	♢	PROPN
cana-3297	79	10	b	b	PROPN
cana-3297	79	11	,	,	PUNCT
cana-3297	79	12	♢	♢	PROPN
cana-3297	79	13	ba	ba	PROPN
cana-3297	79	14	,	,	PUNCT
cana-3297	79	15	ba	ba	PROPN
cana-3297	79	16	♢	♢	PROPN
cana-3297	79	17	}	}	PUNCT
cana-3297	79	18	.	.	PUNCT
cana-3297	80	1	among	among	ADP
cana-3297	80	2	these	these	PRON
cana-3297	80	3	,	,	PUNCT
cana-3297	80	4	a	a	DET
cana-3297	80	5	♢	♢	PROPN
cana-3297	80	6	b	b	PROPN
cana-3297	80	7	is	be	AUX
cana-3297	80	8	lexicographically	lexicographically	ADV
cana-3297	80	9	smallest	small	ADJ
cana-3297	80	10	and	and	CCONJ
cana-3297	80	11	hence	hence	ADV
cana-3297	80	12	can	can	AUX
cana-3297	80	13	be	be	AUX
cana-3297	80	14	identified	identify	VERB
cana-3297	80	15	as	as	ADP
cana-3297	80	16	a	a	DET
cana-3297	80	17	lyndon	lyndon	NOUN
cana-3297	80	18	partial	partial	ADJ
cana-3297	80	19	word	word	NOUN
cana-3297	80	20	if	if	SCONJ
cana-3297	80	21	it	it	PRON
cana-3297	80	22	satisfies	satisfy	VERB
cana-3297	80	23	the	the	DET
cana-3297	80	24	primitive	primitive	ADJ
cana-3297	80	25	condition	condition	NOUN
cana-3297	80	26	.	.	PUNCT
cana-3297	81	1	definition	definition	NOUN
cana-3297	81	2	2.9	2.9	NUM
cana-3297	81	3	(	(	PUNCT
cana-3297	81	4	graph	graph	NOUN
cana-3297	81	5	representation	representation	NOUN
cana-3297	81	6	of	of	ADP
cana-3297	81	7	partial	partial	ADJ
cana-3297	81	8	words	word	NOUN
cana-3297	81	9	[	[	X
cana-3297	81	10	17	17	NUM
cana-3297	81	11	]	]	NUM
cana-3297	81	12	)	)	PUNCT
cana-3297	81	13	.	.	PUNCT
cana-3297	82	1	a	a	DET
cana-3297	82	2	graph	graph	NOUN
cana-3297	82	3	g	g	NOUN
cana-3297	82	4	=	=	SYM
cana-3297	82	5	(	(	PUNCT
cana-3297	82	6	v	v	NOUN
cana-3297	82	7	,	,	PUNCT
cana-3297	82	8	e	e	NOUN
cana-3297	82	9	)	)	PUNCT
cana-3297	82	10	is	be	AUX
cana-3297	82	11	constructed	construct	VERB
cana-3297	82	12	for	for	ADP
cana-3297	82	13	a	a	DET
cana-3297	82	14	set	set	NOUN
cana-3297	82	15	of	of	ADP
cana-3297	82	16	partial	partial	ADJ
cana-3297	82	17	words	word	NOUN
cana-3297	82	18	,	,	PUNCT
cana-3297	82	19	where	where	SCONJ
cana-3297	82	20	each	each	PRON
cana-3297	82	21	node	node	VERB
cana-3297	82	22	v	v	ADP
cana-3297	82	23	∈	∈	PROPN
cana-3297	82	24	v	v	NOUN
cana-3297	82	25	represents	represent	VERB
cana-3297	82	26	a	a	DET
cana-3297	82	27	partial	partial	ADJ
cana-3297	82	28	word	word	NOUN
cana-3297	82	29	,	,	PUNCT
cana-3297	82	30	and	and	CCONJ
cana-3297	82	31	an	an	DET
cana-3297	82	32	edge	edge	NOUN
cana-3297	82	33	(	(	PUNCT
cana-3297	82	34	vi	vi	NOUN
cana-3297	82	35	,	,	PUNCT
cana-3297	82	36	vj	vj	ADJ
cana-3297	82	37	)	)	PUNCT
cana-3297	82	38	∈	∈	PROPN
cana-3297	82	39	e	e	NOUN
cana-3297	82	40	exists	exist	VERB
cana-3297	82	41	if	if	SCONJ
cana-3297	82	42	the	the	DET
cana-3297	82	43	corresponding	corresponding	ADJ
cana-3297	82	44	partial	partial	ADJ
cana-3297	82	45	words	word	NOUN
cana-3297	82	46	satisfy	satisfy	VERB
cana-3297	82	47	a	a	DET
cana-3297	82	48	predefined	predefine	VERB
cana-3297	82	49	relation	relation	NOUN
cana-3297	82	50	,	,	PUNCT
cana-3297	82	51	such	such	ADJ
cana-3297	82	52	as	as	ADP
cana-3297	82	53	substring	substre	VERB
cana-3297	82	54	inclusion	inclusion	NOUN
cana-3297	82	55	,	,	PUNCT
cana-3297	82	56	similarity	similarity	NOUN
cana-3297	82	57	,	,	PUNCT
cana-3297	82	58	or	or	CCONJ
cana-3297	82	59	conjugacy	conjugacy	PROPN
cana-3297	82	60	.	.	PUNCT
cana-3297	82	61	remark	remark	PROPN
cana-3297	82	62	2.10	2.10	NUM
cana-3297	82	63	.	.	PUNCT
cana-3297	83	1	representing	represent	VERB
cana-3297	83	2	partial	partial	ADJ
cana-3297	83	3	words	word	NOUN
cana-3297	83	4	as	as	SCONJ
cana-3297	83	5	graphs	graph	NOUN
cana-3297	83	6	allows	allow	VERB
cana-3297	83	7	for	for	SCONJ
cana-3297	83	8	the	the	DET
cana-3297	83	9	application	application	NOUN
cana-3297	83	10	of	of	ADP
cana-3297	83	11	graph	graph	NOUN
cana-3297	83	12	-	-	PUNCT
cana-3297	83	13	based	base	VERB
cana-3297	83	14	machine	machine	NOUN
cana-3297	83	15	learning	learn	VERB
cana-3297	83	16	techniques	technique	NOUN
cana-3297	83	17	,	,	PUNCT
cana-3297	83	18	such	such	ADJ
cana-3297	83	19	as	as	ADP
cana-3297	83	20	node	node	ADJ
cana-3297	83	21	embeddings	embedding	NOUN
cana-3297	83	22	,	,	PUNCT
cana-3297	83	23	clustering	clustering	NOUN
cana-3297	83	24	,	,	PUNCT
cana-3297	83	25	and	and	CCONJ
cana-3297	83	26	community	community	NOUN
cana-3297	83	27	detection	detection	NOUN
cana-3297	83	28	,	,	PUNCT
cana-3297	83	29	to	to	PART
cana-3297	83	30	analyze	analyze	VERB
cana-3297	83	31	their	their	PRON
cana-3297	83	32	properties	property	NOUN
cana-3297	83	33	and	and	CCONJ
cana-3297	83	34	relationships	relationship	NOUN
cana-3297	83	35	.	.	PUNCT
cana-3297	84	1	3	3	X
cana-3297	84	2	.	.	X
cana-3297	84	3	lyndon	lyndon	PROPN
cana-3297	84	4	partial	partial	ADJ
cana-3297	84	5	words	word	NOUN
cana-3297	84	6	in	in	ADP
cana-3297	84	7	graph	graph	NOUN
cana-3297	84	8	-	-	PUNCT
cana-3297	84	9	based	base	VERB
cana-3297	84	10	machine	machine	NOUN
cana-3297	84	11	learning	learn	VERB
cana-3297	84	12	the	the	DET
cana-3297	84	13	study	study	NOUN
cana-3297	84	14	of	of	ADP
cana-3297	84	15	lyndon	lyndon	PROPN
cana-3297	84	16	partial	partial	ADJ
cana-3297	84	17	words	word	NOUN
cana-3297	84	18	opens	open	VERB
cana-3297	84	19	new	new	ADJ
cana-3297	84	20	possibilities	possibility	NOUN
cana-3297	84	21	for	for	ADP
cana-3297	84	22	integrating	integrate	VERB
cana-3297	84	23	combinatorial	combinatorial	ADJ
cana-3297	84	24	structures	structure	NOUN
cana-3297	84	25	into	into	ADP
cana-3297	84	26	graph	graph	NOUN
cana-3297	84	27	-	-	PUNCT
cana-3297	84	28	based	base	VERB
cana-3297	84	29	machine	machine	NOUN
cana-3297	84	30	learning	learning	NOUN
cana-3297	84	31	(	(	PUNCT
cana-3297	84	32	gbml	gbml	ADJ
cana-3297	84	33	)	)	PUNCT
cana-3297	84	34	methodologies	methodology	NOUN
cana-3297	84	35	.	.	PUNCT
cana-3297	85	1	this	this	DET
cana-3297	85	2	section	section	NOUN
cana-3297	85	3	expands	expand	VERB
cana-3297	85	4	on	on	ADP
cana-3297	85	5	their	their	PRON
cana-3297	85	6	role	role	NOUN
cana-3297	85	7	in	in	ADP
cana-3297	85	8	sequence	sequence	NOUN
cana-3297	85	9	representation	representation	NOUN
cana-3297	85	10	and	and	CCONJ
cana-3297	85	11	their	their	PRON
cana-3297	85	12	applications	application	NOUN
cana-3297	85	13	within	within	ADP
cana-3297	85	14	gbml	gbml	ADJ
cana-3297	85	15	frameworks	framework	NOUN
cana-3297	85	16	,	,	PUNCT
cana-3297	85	17	with	with	ADP
cana-3297	85	18	a	a	DET
cana-3297	85	19	focus	focus	NOUN
cana-3297	85	20	on	on	ADP
cana-3297	85	21	practical	practical	ADJ
cana-3297	85	22	implementations	implementation	NOUN
cana-3297	85	23	in	in	ADP
cana-3297	85	24	bioinformatics	bioinformatics	NOUN
cana-3297	85	25	,	,	PUNCT
cana-3297	85	26	text	text	NOUN
cana-3297	85	27	mining	mining	NOUN
cana-3297	85	28	,	,	PUNCT
cana-3297	85	29	and	and	CCONJ
cana-3297	85	30	sequence	sequence	NOUN
cana-3297	85	31	alignment	alignment	NOUN
cana-3297	85	32	.	.	PUNCT
cana-3297	86	1	3.1	3.1	NUM
cana-3297	86	2	graph	graph	NOUN
cana-3297	86	3	-	-	PUNCT
cana-3297	86	4	theoretic	theoretic	NOUN
cana-3297	86	5	framework	framework	NOUN
cana-3297	86	6	for	for	ADP
cana-3297	86	7	lyndon	lyndon	PROPN
cana-3297	86	8	partial	partial	ADJ
cana-3297	86	9	words	word	NOUN
cana-3297	86	10	graphs	graph	NOUN
cana-3297	86	11	constructed	construct	VERB
cana-3297	86	12	from	from	ADP
cana-3297	86	13	lyndon	lyndon	PROPN
cana-3297	86	14	partial	partial	ADJ
cana-3297	86	15	words	word	NOUN
cana-3297	86	16	offer	offer	VERB
cana-3297	86	17	a	a	DET
cana-3297	86	18	versatile	versatile	ADJ
cana-3297	86	19	framework	framework	NOUN
cana-3297	86	20	to	to	PART
cana-3297	86	21	model	model	VERB
cana-3297	86	22	and	and	CCONJ
cana-3297	86	23	analyze	analyze	VERB
cana-3297	86	24	sequences	sequence	NOUN
cana-3297	86	25	with	with	ADP
cana-3297	86	26	missing	missing	ADJ
cana-3297	86	27	or	or	CCONJ
cana-3297	86	28	incomplete	incomplete	ADJ
cana-3297	86	29	elements	element	NOUN
cana-3297	86	30	.	.	PUNCT
cana-3297	87	1	this	this	DET
cana-3297	87	2	subsection	subsection	NOUN
cana-3297	87	3	provides	provide	VERB
cana-3297	87	4	a	a	DET
cana-3297	87	5	detailed	detailed	ADJ
cana-3297	87	6	account	account	NOUN
cana-3297	87	7	of	of	ADP
cana-3297	87	8	the	the	DET
cana-3297	87	9	structural	structural	ADJ
cana-3297	87	10	properties	property	NOUN
cana-3297	87	11	,	,	PUNCT
cana-3297	87	12	definitions	definition	NOUN
cana-3297	87	13	,	,	PUNCT
cana-3297	87	14	examples	example	NOUN
cana-3297	87	15	,	,	PUNCT
cana-3297	87	16	and	and	CCONJ
cana-3297	87	17	algorithms	algorithm	NOUN
cana-3297	87	18	that	that	PRON
cana-3297	87	19	support	support	VERB
cana-3297	87	20	their	their	PRON
cana-3297	87	21	integration	integration	NOUN
cana-3297	87	22	into	into	ADP
cana-3297	87	23	graphbased	graphbased	ADJ
cana-3297	87	24	machine	machine	NOUN
cana-3297	87	25	learning	learning	NOUN
cana-3297	87	26	(	(	PUNCT
cana-3297	87	27	gbml	gbml	ADJ
cana-3297	87	28	)	)	PUNCT
cana-3297	87	29	.	.	PUNCT
cana-3297	88	1	3.1.1	3.1.1	NUM
cana-3297	88	2	nodes	node	NOUN
cana-3297	88	3	and	and	CCONJ
cana-3297	88	4	edges	edge	NOUN
cana-3297	88	5	in	in	ADP
cana-3297	88	6	the	the	DET
cana-3297	88	7	graph	graph	NOUN
cana-3297	88	8	representation	representation	NOUN
cana-3297	88	9	a	a	DET
cana-3297	88	10	graph	graph	NOUN
cana-3297	88	11	g	g	NOUN
cana-3297	88	12	=	=	SYM
cana-3297	88	13	(	(	PUNCT
cana-3297	88	14	v	v	NOUN
cana-3297	88	15	,	,	PUNCT
cana-3297	88	16	e	e	NOUN
cana-3297	88	17	)	)	PUNCT
cana-3297	88	18	representing	represent	VERB
cana-3297	88	19	lyndon	lyndon	NOUN
cana-3297	88	20	partial	partial	ADJ
cana-3297	88	21	words	word	NOUN
cana-3297	88	22	is	be	AUX
cana-3297	88	23	constructed	construct	VERB
cana-3297	88	24	as	as	SCONJ
cana-3297	88	25	follows	follow	VERB
cana-3297	88	26	:	:	PUNCT
cana-3297	88	27	•	•	NUM
cana-3297	88	28	nodes	node	NOUN
cana-3297	88	29	(	(	PUNCT
cana-3297	88	30	v	v	NOUN
cana-3297	88	31	):	):	PUNCT
cana-3297	88	32	each	each	DET
cana-3297	88	33	node	node	NOUN
cana-3297	88	34	corresponds	correspond	VERB
cana-3297	88	35	to	to	ADP
cana-3297	88	36	a	a	DET
cana-3297	88	37	unique	unique	ADJ
cana-3297	88	38	lyndon	lyndon	NOUN
cana-3297	88	39	partial	partial	ADJ
cana-3297	88	40	word	word	NOUN
cana-3297	88	41	or	or	CCONJ
cana-3297	88	42	its	its	PRON
cana-3297	88	43	conjugates	conjugate	NOUN
cana-3297	88	44	.	.	PUNCT
cana-3297	89	1	for	for	ADP
cana-3297	89	2	instance	instance	NOUN
cana-3297	89	3	,	,	PUNCT
cana-3297	89	4	in	in	ADP
cana-3297	89	5	the	the	DET
cana-3297	89	6	ordered	order	VERB
cana-3297	89	7	alphabet	alphabet	PROPN
cana-3297	89	8	σ	σ	PROPN
cana-3297	89	9	♢	♢	PROPN
cana-3297	89	10	=	=	X
cana-3297	89	11	{	{	PUNCT
cana-3297	89	12	a	a	DET
cana-3297	89	13	≺	≺	NOUN
cana-3297	89	14	b	b	NOUN
cana-3297	89	15	}	}	PUNCT
cana-3297	89	16	∪	∪	NOUN
cana-3297	89	17	{	{	PUNCT
cana-3297	89	18	♢	♢	NOUN
cana-3297	89	19	}	}	PUNCT
cana-3297	89	20	,	,	PUNCT
cana-3297	89	21	the	the	DET
cana-3297	89	22	lyndon	lyndon	PROPN
cana-3297	89	23	partial	partial	ADJ
cana-3297	89	24	word	word	NOUN
cana-3297	89	25	a	a	PRON
cana-3297	89	26	♢	♢	PROPN
cana-3297	89	27	b	b	PROPN
cana-3297	89	28	is	be	AUX
cana-3297	89	29	a	a	DET
cana-3297	89	30	node	node	NOUN
cana-3297	89	31	in	in	ADP
cana-3297	89	32	g.	g.	PROPN
cana-3297	89	33	•	•	NUM
cana-3297	89	34	edges	edge	NOUN
cana-3297	89	35	(	(	PUNCT
cana-3297	89	36	e	e	NOUN
cana-3297	89	37	):	):	PUNCT
cana-3297	89	38	an	an	DET
cana-3297	89	39	edge	edge	NOUN
cana-3297	89	40	(	(	PUNCT
cana-3297	89	41	u	u	NOUN
cana-3297	89	42	,	,	PUNCT
cana-3297	89	43	v	v	NOUN
cana-3297	89	44	)	)	PUNCT
cana-3297	89	45	∈	∈	PROPN
cana-3297	89	46	e	e	NOUN
cana-3297	89	47	is	be	AUX
cana-3297	89	48	established	establish	VERB
cana-3297	89	49	between	between	ADP
cana-3297	89	50	two	two	NUM
cana-3297	89	51	nodes	node	NOUN
cana-3297	89	52	u	u	NOUN
cana-3297	89	53	and	and	CCONJ
cana-3297	89	54	v	v	NOUN
cana-3297	89	55	if	if	SCONJ
cana-3297	89	56	their	their	PRON
cana-3297	89	57	corresponding	correspond	VERB
cana-3297	89	58	lyndon	lyndon	NOUN
cana-3297	89	59	partial	partial	ADJ
cana-3297	89	60	words	word	NOUN
cana-3297	89	61	satisfy	satisfy	VERB
cana-3297	89	62	a	a	DET
cana-3297	89	63	specific	specific	ADJ
cana-3297	89	64	relationship	relationship	NOUN
cana-3297	89	65	,	,	PUNCT
cana-3297	89	66	such	such	ADJ
cana-3297	89	67	as	as	ADP
cana-3297	89	68	:	:	PUNCT
cana-3297	89	69	–	–	PUNCT
cana-3297	89	70	lexicographical	lexicographical	ADJ
cana-3297	89	71	proximity	proximity	NOUN
cana-3297	89	72	:	:	PUNCT
cana-3297	89	73	two	two	NUM
cana-3297	89	74	lyndon	lyndon	PROPN
cana-3297	89	75	partial	partial	ADJ
cana-3297	89	76	words	word	NOUN
cana-3297	89	77	are	be	AUX
cana-3297	89	78	lexicographically	lexicographically	ADV
cana-3297	89	79	close	close	ADJ
cana-3297	89	80	,	,	PUNCT
cana-3297	89	81	differing	differ	VERB
cana-3297	89	82	by	by	ADP
cana-3297	89	83	a	a	DET
cana-3297	89	84	small	small	ADJ
cana-3297	89	85	number	number	NOUN
cana-3297	89	86	of	of	ADP
cana-3297	89	87	character	character	NOUN
cana-3297	89	88	swaps	swap	NOUN
cana-3297	89	89	or	or	CCONJ
cana-3297	89	90	insertions	insertion	NOUN
cana-3297	89	91	.	.	PUNCT
cana-3297	90	1	–	–	PUNCT
cana-3297	90	2	shared	share	VERB
cana-3297	90	3	substrings	substring	NOUN
cana-3297	90	4	:	:	PUNCT
cana-3297	90	5	a	a	DET
cana-3297	90	6	substring	substre	VERB
cana-3297	90	7	common	common	ADJ
cana-3297	90	8	to	to	ADP
cana-3297	90	9	both	both	CCONJ
cana-3297	90	10	partial	partial	ADJ
cana-3297	90	11	words	word	NOUN
cana-3297	90	12	exists	exist	VERB
cana-3297	90	13	.	.	PUNCT
cana-3297	91	1	–	–	PUNCT
cana-3297	91	2	conjugacy	conjugacy	ADJ
cana-3297	91	3	:	:	PUNCT
cana-3297	91	4	one	one	NUM
cana-3297	91	5	word	word	NOUN
cana-3297	91	6	is	be	AUX
cana-3297	91	7	a	a	DET
cana-3297	91	8	cyclic	cyclic	ADJ
cana-3297	91	9	permutation	permutation	NOUN
cana-3297	91	10	of	of	ADP
cana-3297	91	11	the	the	DET
cana-3297	91	12	other	other	ADJ
cana-3297	91	13	.	.	PUNCT
cana-3297	92	1	•	•	NUM
cana-3297	92	2	edge	edge	NOUN
cana-3297	92	3	weights	weight	NOUN
cana-3297	92	4	:	:	PUNCT
cana-3297	92	5	weighted	weight	VERB
cana-3297	92	6	edges	edge	NOUN
cana-3297	92	7	capture	capture	VERB
cana-3297	92	8	quantitative	quantitative	ADJ
cana-3297	92	9	measures	measure	NOUN
cana-3297	92	10	of	of	ADP
cana-3297	92	11	similarity	similarity	NOUN
cana-3297	92	12	or	or	CCONJ
cana-3297	92	13	communications	communication	NOUN
cana-3297	92	14	on	on	ADP
cana-3297	92	15	applied	apply	VERB
cana-3297	92	16	nonlinear	nonlinear	ADJ
cana-3297	92	17	analysis	analysis	NOUN
cana-3297	92	18	issn	issn	NOUN
cana-3297	92	19	:	:	PUNCT
cana-3297	92	20	1074	1074	NUM
cana-3297	92	21	-	-	PUNCT
cana-3297	92	22	133x	133x	NUM
cana-3297	92	23	vol	vol	NOUN
cana-3297	92	24	32	32	NUM
cana-3297	92	25	no	no	NOUN
cana-3297	92	26	.	.	PUNCT
cana-3297	93	1	6s	6s	NUM
cana-3297	93	2	(	(	PUNCT
cana-3297	93	3	2025	2025	NUM
cana-3297	93	4	)	)	PUNCT
cana-3297	93	5	304	304	NUM
cana-3297	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	94	1	♢	♢	PROPN
cana-3297	94	2	♢	♢	PROPN
cana-3297	94	3	♢	♢	PROPN
cana-3297	94	4	♢	♢	PROPN
cana-3297	94	5	distance	distance	PROPN
cana-3297	94	6	.	.	PUNCT
cana-3297	95	1	common	common	ADJ
cana-3297	95	2	metrics	metric	NOUN
cana-3297	95	3	include	include	VERB
cana-3297	95	4	:	:	PUNCT
cana-3297	95	5	–	–	PUNCT
cana-3297	95	6	hamming	ham	VERB
cana-3297	95	7	distance	distance	NOUN
cana-3297	95	8	:	:	PUNCT
cana-3297	95	9	counts	count	VERB
cana-3297	95	10	character	character	NOUN
cana-3297	95	11	mismatches	mismatch	NOUN
cana-3297	95	12	,	,	PUNCT
cana-3297	95	13	considering	consider	VERB
cana-3297	95	14	♢	♢	PROPN
cana-3297	95	15	as	as	ADP
cana-3297	95	16	a	a	DET
cana-3297	95	17	wildcard	wildcard	NOUN
cana-3297	95	18	.	.	PUNCT
cana-3297	96	1	–	–	PUNCT
cana-3297	96	2	alignment	alignment	NOUN
cana-3297	96	3	score	score	NOUN
cana-3297	96	4	:	:	PUNCT
cana-3297	96	5	uses	use	VERB
cana-3297	96	6	sequence	sequence	NOUN
cana-3297	96	7	alignment	alignment	NOUN
cana-3297	96	8	algorithms	algorithm	NOUN
cana-3297	96	9	(	(	PUNCT
cana-3297	96	10	e.g.	e.g.	ADV
cana-3297	96	11	,	,	PUNCT
cana-3297	96	12	needlemanwunsch	needlemanwunsch	PROPN
cana-3297	96	13	)	)	PUNCT
cana-3297	96	14	to	to	PART
cana-3297	96	15	compute	compute	VERB
cana-3297	96	16	similarity	similarity	NOUN
cana-3297	96	17	,	,	PUNCT
cana-3297	96	18	treating	treat	VERB
cana-3297	96	19	♢	♢	PROPN
cana-3297	96	20	as	as	ADP
cana-3297	96	21	a	a	DET
cana-3297	96	22	gap	gap	NOUN
cana-3297	96	23	.	.	PUNCT
cana-3297	97	1	–	–	PUNCT
cana-3297	97	2	semantic	semantic	ADJ
cana-3297	97	3	proximity	proximity	NOUN
cana-3297	97	4	:	:	PUNCT
cana-3297	97	5	measures	measure	NOUN
cana-3297	97	6	based	base	VERB
cana-3297	97	7	on	on	ADP
cana-3297	97	8	application	application	NOUN
cana-3297	97	9	-	-	PUNCT
cana-3297	97	10	specific	specific	ADJ
cana-3297	97	11	embeddings	embedding	NOUN
cana-3297	97	12	or	or	CCONJ
cana-3297	97	13	properties	property	NOUN
cana-3297	97	14	.	.	PUNCT
cana-3297	98	1	theorem	theorem	VERB
cana-3297	98	2	3.1	3.1	NUM
cana-3297	98	3	.	.	PUNCT
cana-3297	99	1	let	let	VERB
cana-3297	99	2	l	l	NOUN
cana-3297	99	3	♢	♢	PROPN
cana-3297	99	4	be	be	AUX
cana-3297	99	5	the	the	DET
cana-3297	99	6	set	set	NOUN
cana-3297	99	7	of	of	ADP
cana-3297	99	8	all	all	DET
cana-3297	99	9	lyndon	lyndon	PROPN
cana-3297	99	10	partial	partial	ADJ
cana-3297	99	11	words	word	NOUN
cana-3297	99	12	over	over	ADP
cana-3297	99	13	an	an	DET
cana-3297	99	14	ordered	order	VERB
cana-3297	99	15	alphabet	alphabet	PROPN
cana-3297	99	16	σ	σ	PROPN
cana-3297	99	17	♢	♢	PROPN
cana-3297	99	18	=	=	X
cana-3297	99	19	σk	σk	ADJ
cana-3297	99	20	∪	∪	X
cana-3297	99	21	{	{	PUNCT
cana-3297	99	22	♢	♢	NOUN
cana-3297	99	23	}	}	PUNCT
cana-3297	99	24	,	,	PUNCT
cana-3297	99	25	where	where	SCONJ
cana-3297	99	26	σk	σk	ADV
cana-3297	99	27	=	=	PUNCT
cana-3297	99	28	{	{	PUNCT
cana-3297	99	29	a1	a1	NOUN
cana-3297	99	30	≺	≺	NOUN
cana-3297	99	31	a2	a2	PROPN
cana-3297	99	32	≺	≺	NOUN
cana-3297	99	33	·	·	PUNCT
cana-3297	99	34	·	·	PUNCT
cana-3297	99	35	·	·	PUNCT
cana-3297	99	36	≺	≺	NOUN
cana-3297	99	37	ak	ak	PROPN
cana-3297	99	38	}	}	PUNCT
cana-3297	99	39	.	.	PUNCT
cana-3297	100	1	then	then	ADV
cana-3297	100	2	,	,	PUNCT
cana-3297	100	3	for	for	ADP
cana-3297	100	4	any	any	DET
cana-3297	100	5	lyndon	lyndon	NOUN
cana-3297	100	6	partial	partial	ADJ
cana-3297	100	7	word	word	NOUN
cana-3297	100	8	l	l	PROPN
cana-3297	100	9	♢	♢	PROPN
cana-3297	100	10	∈	∈	PROPN
cana-3297	100	11	l	l	PROPN
cana-3297	100	12	♢	♢	PROPN
cana-3297	100	13	,	,	PUNCT
cana-3297	100	14	we	we	PRON
cana-3297	100	15	can	can	AUX
cana-3297	100	16	represent	represent	VERB
cana-3297	100	17	the	the	DET
cana-3297	100	18	lyndon	lyndon	PROPN
cana-3297	100	19	partial	partial	ADJ
cana-3297	100	20	word	word	NOUN
cana-3297	100	21	set	set	VERB
cana-3297	100	22	l	l	PROPN
cana-3297	100	23	♢	♢	PROPN
cana-3297	100	24	as	as	ADP
cana-3297	100	25	a	a	DET
cana-3297	100	26	graph	graph	NOUN
cana-3297	100	27	g	g	NOUN
cana-3297	100	28	=	=	SYM
cana-3297	100	29	(	(	PUNCT
cana-3297	100	30	v	v	NOUN
cana-3297	100	31	,	,	PUNCT
cana-3297	100	32	e	e	NOUN
cana-3297	100	33	)	)	PUNCT
cana-3297	100	34	,	,	PUNCT
cana-3297	100	35	where	where	SCONJ
cana-3297	100	36	:	:	PUNCT
cana-3297	100	37	•	•	ADP
cana-3297	100	38	the	the	DET
cana-3297	100	39	vertices	vertex	NOUN
cana-3297	100	40	v	v	NOUN
cana-3297	100	41	of	of	ADP
cana-3297	100	42	g	g	PROPN
cana-3297	100	43	correspond	correspond	NOUN
cana-3297	100	44	to	to	ADP
cana-3297	100	45	the	the	DET
cana-3297	100	46	lyndon	lyndon	PROPN
cana-3297	100	47	partial	partial	ADJ
cana-3297	100	48	words	word	NOUN
cana-3297	100	49	.	.	PUNCT
cana-3297	101	1	•	•	NOUN
cana-3297	101	2	there	there	PRON
cana-3297	101	3	is	be	VERB
cana-3297	101	4	an	an	DET
cana-3297	101	5	edge	edge	NOUN
cana-3297	101	6	between	between	ADP
cana-3297	101	7	two	two	NUM
cana-3297	101	8	vertices	vertex	NOUN
cana-3297	101	9	v1	v1	VERB
cana-3297	101	10	and	and	CCONJ
cana-3297	101	11	v2	v2	VERB
cana-3297	101	12	if	if	SCONJ
cana-3297	101	13	the	the	DET
cana-3297	101	14	corresponding	correspond	VERB
cana-3297	101	15	lyndon	lyndon	PROPN
cana-3297	101	16	partial	partial	ADJ
cana-3297	101	17	words	word	NOUN
cana-3297	101	18	l1	l1	PROPN
cana-3297	101	19	and	and	CCONJ
cana-3297	101	20	l2	l2	NOUN
cana-3297	101	21	are	be	AUX
cana-3297	101	22	similar	similar	ADJ
cana-3297	101	23	(	(	PUNCT
cana-3297	101	24	e.g.	e.g.	ADV
cana-3297	101	25	,	,	PUNCT
cana-3297	101	26	share	share	VERB
cana-3297	101	27	a	a	DET
cana-3297	101	28	common	common	ADJ
cana-3297	101	29	prefix	prefix	NOUN
cana-3297	101	30	or	or	CCONJ
cana-3297	101	31	have	have	VERB
cana-3297	101	32	a	a	DET
cana-3297	101	33	similarity	similarity	NOUN
cana-3297	101	34	score	score	NOUN
cana-3297	101	35	exceeding	exceed	VERB
cana-3297	101	36	a	a	DET
cana-3297	101	37	defined	define	VERB
cana-3297	101	38	threshold	threshold	NOUN
cana-3297	101	39	)	)	PUNCT
cana-3297	101	40	.	.	PUNCT
cana-3297	102	1	moreover	moreover	ADV
cana-3297	102	2	,	,	PUNCT
cana-3297	102	3	the	the	DET
cana-3297	102	4	connected	connected	ADJ
cana-3297	102	5	components	component	NOUN
cana-3297	102	6	of	of	ADP
cana-3297	102	7	the	the	DET
cana-3297	102	8	graph	graph	NOUN
cana-3297	102	9	g	g	PROPN
cana-3297	102	10	represent	represent	VERB
cana-3297	102	11	equivalence	equivalence	NOUN
cana-3297	102	12	classes	class	NOUN
cana-3297	102	13	of	of	ADP
cana-3297	102	14	lyndon	lyndon	PROPN
cana-3297	102	15	partial	partial	ADJ
cana-3297	102	16	words	word	NOUN
cana-3297	102	17	that	that	PRON
cana-3297	102	18	share	share	VERB
cana-3297	102	19	specific	specific	ADJ
cana-3297	102	20	structural	structural	ADJ
cana-3297	102	21	properties	property	NOUN
cana-3297	102	22	,	,	PUNCT
cana-3297	102	23	such	such	ADJ
cana-3297	102	24	as	as	ADP
cana-3297	102	25	common	common	ADJ
cana-3297	102	26	prefixes	prefix	NOUN
cana-3297	102	27	or	or	CCONJ
cana-3297	102	28	rotations	rotation	NOUN
cana-3297	102	29	.	.	PUNCT
cana-3297	103	1	these	these	DET
cana-3297	103	2	components	component	NOUN
cana-3297	103	3	may	may	AUX
cana-3297	103	4	be	be	AUX
cana-3297	103	5	used	use	VERB
cana-3297	103	6	to	to	PART
cana-3297	103	7	uncover	uncover	VERB
cana-3297	103	8	patterns	pattern	NOUN
cana-3297	103	9	of	of	ADP
cana-3297	103	10	similarity	similarity	NOUN
cana-3297	103	11	and	and	CCONJ
cana-3297	103	12	redundancy	redundancy	NOUN
cana-3297	103	13	within	within	ADP
cana-3297	103	14	the	the	DET
cana-3297	103	15	set	set	NOUN
cana-3297	103	16	of	of	ADP
cana-3297	103	17	lyndon	lyndon	PROPN
cana-3297	103	18	partial	partial	ADJ
cana-3297	103	19	words	word	NOUN
cana-3297	103	20	.	.	PUNCT
cana-3297	104	1	proof	proof	NOUN
cana-3297	104	2	.	.	PUNCT
cana-3297	105	1	we	we	PRON
cana-3297	105	2	begin	begin	VERB
cana-3297	105	3	by	by	ADP
cana-3297	105	4	defining	define	VERB
cana-3297	105	5	the	the	DET
cana-3297	105	6	graph	graph	NOUN
cana-3297	105	7	g	g	PROPN
cana-3297	105	8	=	=	SYM
cana-3297	105	9	(	(	PUNCT
cana-3297	105	10	v	v	NOUN
cana-3297	105	11	,	,	PUNCT
cana-3297	105	12	e	e	NOUN
cana-3297	105	13	)	)	PUNCT
cana-3297	105	14	associated	associate	VERB
cana-3297	105	15	with	with	ADP
cana-3297	105	16	the	the	DET
cana-3297	105	17	set	set	NOUN
cana-3297	105	18	l	l	PROPN
cana-3297	105	19	♢	♢	PROPN
cana-3297	105	20	of	of	ADP
cana-3297	105	21	lyndon	lyndon	PROPN
cana-3297	105	22	partial	partial	ADJ
cana-3297	105	23	words	word	NOUN
cana-3297	105	24	.	.	PUNCT
cana-3297	106	1	the	the	DET
cana-3297	106	2	vertices	vertex	NOUN
cana-3297	106	3	v	v	NOUN
cana-3297	106	4	are	be	AUX
cana-3297	106	5	the	the	DET
cana-3297	106	6	elements	element	NOUN
cana-3297	106	7	of	of	ADP
cana-3297	106	8	l	l	PROPN
cana-3297	106	9	♢	♢	PROPN
cana-3297	106	10	,	,	PUNCT
cana-3297	106	11	meaning	mean	VERB
cana-3297	106	12	each	each	DET
cana-3297	106	13	vertex	vertex	NOUN
cana-3297	106	14	corresponds	correspond	VERB
cana-3297	106	15	to	to	ADP
cana-3297	106	16	a	a	DET
cana-3297	106	17	lyndon	lyndon	NOUN
cana-3297	106	18	partial	partial	ADJ
cana-3297	106	19	word	word	NOUN
cana-3297	106	20	.	.	PUNCT
cana-3297	107	1	to	to	PART
cana-3297	107	2	define	define	VERB
cana-3297	107	3	the	the	DET
cana-3297	107	4	edges	edge	NOUN
cana-3297	107	5	of	of	ADP
cana-3297	107	6	g	g	NOUN
cana-3297	107	7	,	,	PUNCT
cana-3297	107	8	we	we	PRON
cana-3297	107	9	must	must	AUX
cana-3297	107	10	establish	establish	VERB
cana-3297	107	11	a	a	DET
cana-3297	107	12	measure	measure	NOUN
cana-3297	107	13	of	of	ADP
cana-3297	107	14	similarity	similarity	NOUN
cana-3297	107	15	between	between	ADP
cana-3297	107	16	two	two	NUM
cana-3297	107	17	lyndon	lyndon	PROPN
cana-3297	107	18	partial	partial	ADJ
cana-3297	107	19	words	word	NOUN
cana-3297	107	20	.	.	PUNCT
cana-3297	108	1	for	for	ADP
cana-3297	108	2	this	this	PRON
cana-3297	108	3	,	,	PUNCT
cana-3297	108	4	consider	consider	VERB
cana-3297	108	5	a	a	DET
cana-3297	108	6	similarity	similarity	NOUN
cana-3297	108	7	function	function	NOUN
cana-3297	108	8	sim(l1	sim(l1	PROPN
cana-3297	108	9	♢	♢	PROPN
cana-3297	108	10	,	,	PUNCT
cana-3297	108	11	l2	l2	PROPN
cana-3297	108	12	♢	♢	PROPN
cana-3297	108	13	)	)	PUNCT
cana-3297	108	14	,	,	PUNCT
cana-3297	108	15	which	which	PRON
cana-3297	108	16	quantifies	quantify	VERB
cana-3297	108	17	the	the	DET
cana-3297	108	18	degree	degree	NOUN
cana-3297	108	19	of	of	ADP
cana-3297	108	20	similarity	similarity	NOUN
cana-3297	108	21	between	between	ADP
cana-3297	108	22	two	two	NUM
cana-3297	108	23	words	word	NOUN
cana-3297	108	24	l1	l1	PROPN
cana-3297	108	25	♢	♢	PROPN
cana-3297	108	26	and	and	CCONJ
cana-3297	108	27	l2	l2	PROPN
cana-3297	108	28	♢	♢	PROPN
cana-3297	108	29	.	.	PUNCT
cana-3297	109	1	a	a	DET
cana-3297	109	2	common	common	ADJ
cana-3297	109	3	similarity	similarity	NOUN
cana-3297	109	4	function	function	NOUN
cana-3297	109	5	could	could	AUX
cana-3297	109	6	be	be	AUX
cana-3297	109	7	based	base	VERB
cana-3297	109	8	on	on	ADP
cana-3297	109	9	shared	share	VERB
cana-3297	109	10	prefixes	prefix	NOUN
cana-3297	109	11	or	or	CCONJ
cana-3297	109	12	substring	substre	VERB
cana-3297	109	13	overlaps	overlap	NOUN
cana-3297	109	14	:	:	PUNCT
cana-3297	109	15	where	where	SCONJ
cana-3297	109	16	common	common	ADJ
cana-3297	109	17	prefix	prefix	NOUN
cana-3297	109	18	(	(	PUNCT
cana-3297	109	19	l1	l1	PROPN
cana-3297	109	20	♢	♢	PROPN
cana-3297	109	21	,	,	PUNCT
cana-3297	109	22	l2	l2	PROPN
cana-3297	109	23	♢	♢	PROPN
cana-3297	109	24	)	)	PUNCT
cana-3297	109	25	returns	return	VERB
cana-3297	109	26	the	the	DET
cana-3297	109	27	longest	long	ADJ
cana-3297	109	28	common	common	ADJ
cana-3297	109	29	prefix	prefix	NOUN
cana-3297	109	30	between	between	ADP
cana-3297	109	31	l1	l1	PROPN
cana-3297	109	32	♢	♢	PROPN
cana-3297	109	33	and	and	CCONJ
cana-3297	109	34	l2	l2	PROPN
cana-3297	109	35	♢	♢	PROPN
cana-3297	109	36	.	.	PUNCT
cana-3297	110	1	an	an	DET
cana-3297	110	2	edge	edge	NOUN
cana-3297	110	3	exists	exist	VERB
cana-3297	110	4	between	between	ADP
cana-3297	110	5	two	two	NUM
cana-3297	110	6	vertices	vertex	NOUN
cana-3297	110	7	v1	v1	VERB
cana-3297	110	8	and	and	CCONJ
cana-3297	110	9	v2	v2	PROPN
cana-3297	110	10	(	(	PUNCT
cana-3297	110	11	corresponding	correspond	VERB
cana-3297	110	12	to	to	ADP
cana-3297	110	13	l1	l1	PROPN
cana-3297	110	14	♢	♢	PROPN
cana-3297	110	15	and	and	CCONJ
cana-3297	110	16	l2	l2	PROPN
cana-3297	110	17	♢	♢	PROPN
cana-3297	110	18	)	)	PUNCT
cana-3297	110	19	if	if	SCONJ
cana-3297	110	20	their	their	PRON
cana-3297	110	21	similarity	similarity	NOUN
cana-3297	110	22	exceeds	exceed	VERB
cana-3297	110	23	a	a	DET
cana-3297	110	24	threshold	threshold	NOUN
cana-3297	110	25	θ	θ	NOUN
cana-3297	110	26	:	:	PUNCT
cana-3297	110	27	the	the	DET
cana-3297	110	28	graph	graph	NOUN
cana-3297	110	29	g	g	PROPN
cana-3297	110	30	constructed	construct	VERB
cana-3297	110	31	in	in	ADP
cana-3297	110	32	this	this	DET
cana-3297	110	33	manner	manner	NOUN
cana-3297	110	34	can	can	AUX
cana-3297	110	35	reveal	reveal	VERB
cana-3297	110	36	important	important	ADJ
cana-3297	110	37	structural	structural	ADJ
cana-3297	110	38	properties	property	NOUN
cana-3297	110	39	of	of	ADP
cana-3297	110	40	the	the	DET
cana-3297	110	41	lyndon	lyndon	PROPN
cana-3297	110	42	partial	partial	ADJ
cana-3297	110	43	word	word	NOUN
cana-3297	110	44	set	set	NOUN
cana-3297	110	45	:	:	PUNCT
cana-3297	110	46	•	•	NUM
cana-3297	110	47	connected	connected	ADJ
cana-3297	110	48	components	component	NOUN
cana-3297	110	49	:	:	PUNCT
cana-3297	110	50	the	the	DET
cana-3297	110	51	connected	connected	ADJ
cana-3297	110	52	components	component	NOUN
cana-3297	110	53	of	of	ADP
cana-3297	110	54	g	g	PROPN
cana-3297	110	55	are	be	AUX
cana-3297	110	56	subsets	subset	NOUN
cana-3297	110	57	of	of	ADP
cana-3297	110	58	lyndon	lyndon	PROPN
cana-3297	110	59	partial	partial	ADJ
cana-3297	110	60	words	word	NOUN
cana-3297	110	61	that	that	PRON
cana-3297	110	62	are	be	AUX
cana-3297	110	63	similar	similar	ADJ
cana-3297	110	64	to	to	ADP
cana-3297	110	65	one	one	NUM
cana-3297	110	66	another	another	DET
cana-3297	110	67	based	base	VERB
cana-3297	110	68	on	on	ADP
cana-3297	110	69	the	the	DET
cana-3297	110	70	similarity	similarity	NOUN
cana-3297	110	71	threshold	threshold	NOUN
cana-3297	110	72	.	.	PUNCT
cana-3297	111	1	these	these	DET
cana-3297	111	2	components	component	NOUN
cana-3297	111	3	can	can	AUX
cana-3297	111	4	be	be	AUX
cana-3297	111	5	communications	communication	NOUN
cana-3297	111	6	on	on	ADP
cana-3297	111	7	applied	apply	VERB
cana-3297	111	8	nonlinear	nonlinear	ADJ
cana-3297	111	9	analysis	analysis	NOUN
cana-3297	111	10	issn	issn	NOUN
cana-3297	111	11	:	:	PUNCT
cana-3297	111	12	1074	1074	NUM
cana-3297	111	13	-	-	PUNCT
cana-3297	111	14	133x	133x	NUM
cana-3297	111	15	vol	vol	NOUN
cana-3297	111	16	32	32	NUM
cana-3297	111	17	no	no	NOUN
cana-3297	111	18	.	.	PUNCT
cana-3297	112	1	6s	6s	NUM
cana-3297	112	2	(	(	PUNCT
cana-3297	112	3	2025	2025	NUM
cana-3297	112	4	)	)	PUNCT
cana-3297	112	5	305	305	NUM
cana-3297	112	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3297	112	7	interpreted	interpret	VERB
cana-3297	112	8	as	as	ADP
cana-3297	112	9	equivalence	equivalence	NOUN
cana-3297	112	10	classes	class	NOUN
cana-3297	112	11	of	of	ADP
cana-3297	112	12	lyndon	lyndon	PROPN
cana-3297	112	13	partial	partial	ADJ
cana-3297	112	14	words	word	NOUN
cana-3297	112	15	that	that	PRON
cana-3297	112	16	share	share	VERB
cana-3297	112	17	structural	structural	ADJ
cana-3297	112	18	patterns	pattern	NOUN
cana-3297	112	19	or	or	CCONJ
cana-3297	112	20	similar	similar	ADJ
cana-3297	112	21	lexicographical	lexicographical	ADJ
cana-3297	112	22	properties	property	NOUN
cana-3297	112	23	.	.	PUNCT
cana-3297	113	1	•	•	NUM
cana-3297	113	2	cliques	clique	NOUN
cana-3297	113	3	:	:	PUNCT
cana-3297	113	4	if	if	SCONJ
cana-3297	113	5	the	the	DET
cana-3297	113	6	similarity	similarity	NOUN
cana-3297	113	7	threshold	threshold	NOUN
cana-3297	113	8	is	be	AUX
cana-3297	113	9	sufficiently	sufficiently	ADV
cana-3297	113	10	small	small	ADJ
cana-3297	113	11	,	,	PUNCT
cana-3297	113	12	the	the	DET
cana-3297	113	13	graph	graph	NOUN
cana-3297	113	14	may	may	AUX
cana-3297	113	15	form	form	VERB
cana-3297	113	16	cliques	clique	NOUN
cana-3297	113	17	,	,	PUNCT
cana-3297	113	18	where	where	SCONJ
cana-3297	113	19	each	each	DET
cana-3297	113	20	lyndon	lyndon	PROPN
cana-3297	113	21	partial	partial	ADJ
cana-3297	113	22	word	word	NOUN
cana-3297	113	23	in	in	ADP
cana-3297	113	24	the	the	DET
cana-3297	113	25	clique	clique	NOUN
cana-3297	113	26	is	be	AUX
cana-3297	113	27	similar	similar	ADJ
cana-3297	113	28	to	to	ADP
cana-3297	113	29	every	every	DET
cana-3297	113	30	other	other	ADJ
cana-3297	113	31	word	word	NOUN
cana-3297	113	32	in	in	ADP
cana-3297	113	33	the	the	DET
cana-3297	113	34	clique	clique	NOUN
cana-3297	113	35	.	.	PUNCT
cana-3297	114	1	this	this	PRON
cana-3297	114	2	can	can	AUX
cana-3297	114	3	highlight	highlight	VERB
cana-3297	114	4	highly	highly	ADV
cana-3297	114	5	redundant	redundant	ADJ
cana-3297	114	6	or	or	CCONJ
cana-3297	114	7	closely	closely	ADV
cana-3297	114	8	related	relate	VERB
cana-3297	114	9	lyndon	lyndon	NOUN
cana-3297	114	10	partial	partial	ADJ
cana-3297	114	11	words	word	NOUN
cana-3297	114	12	.	.	PUNCT
cana-3297	115	1	•	•	NUM
cana-3297	115	2	centrality	centrality	NOUN
cana-3297	115	3	and	and	CCONJ
cana-3297	115	4	node	node	NOUN
cana-3297	115	5	properties	property	NOUN
cana-3297	115	6	:	:	PUNCT
cana-3297	115	7	using	use	VERB
cana-3297	115	8	graph	graph	NOUN
cana-3297	115	9	-	-	PUNCT
cana-3297	115	10	theoretic	theoretic	NOUN
cana-3297	115	11	measures	measure	NOUN
cana-3297	115	12	like	like	ADP
cana-3297	115	13	node	node	NOUN
cana-3297	115	14	centrality	centrality	NOUN
cana-3297	115	15	(	(	PUNCT
cana-3297	115	16	e.g.	e.g.	ADV
cana-3297	115	17	,	,	PUNCT
cana-3297	115	18	degree	degree	NOUN
cana-3297	115	19	centrality	centrality	NOUN
cana-3297	115	20	,	,	PUNCT
cana-3297	115	21	betweenness	betweenness	ADJ
cana-3297	115	22	centrality	centrality	NOUN
cana-3297	115	23	)	)	PUNCT
cana-3297	115	24	,	,	PUNCT
cana-3297	115	25	we	we	PRON
cana-3297	115	26	can	can	AUX
cana-3297	115	27	identify	identify	VERB
cana-3297	115	28	the	the	DET
cana-3297	115	29	most	most	ADV
cana-3297	115	30	"	"	PUNCT
cana-3297	115	31	important	important	ADJ
cana-3297	115	32	"	"	PUNCT
cana-3297	115	33	or	or	CCONJ
cana-3297	115	34	"	"	PUNCT
cana-3297	115	35	influential	influential	ADJ
cana-3297	115	36	"	"	PUNCT
cana-3297	115	37	lyndon	lyndon	PROPN
cana-3297	115	38	partial	partial	ADJ
cana-3297	115	39	words	word	NOUN
cana-3297	115	40	in	in	ADP
cana-3297	115	41	the	the	DET
cana-3297	115	42	graph	graph	NOUN
cana-3297	115	43	.	.	PUNCT
cana-3297	116	1	these	these	DET
cana-3297	116	2	central	central	ADJ
cana-3297	116	3	words	word	NOUN
cana-3297	116	4	may	may	AUX
cana-3297	116	5	represent	represent	VERB
cana-3297	116	6	key	key	ADJ
cana-3297	116	7	structures	structure	NOUN
cana-3297	116	8	or	or	CCONJ
cana-3297	116	9	patterns	pattern	NOUN
cana-3297	116	10	within	within	ADP
cana-3297	116	11	the	the	DET
cana-3297	116	12	entire	entire	ADJ
cana-3297	116	13	set	set	NOUN
cana-3297	116	14	of	of	ADP
cana-3297	116	15	lyndon	lyndon	PROPN
cana-3297	116	16	partial	partial	ADJ
cana-3297	116	17	words	word	NOUN
cana-3297	116	18	.	.	PUNCT
cana-3297	117	1	3.1.2	3.1.2	NUM
cana-3297	117	2	algorithm	algorithm	NOUN
cana-3297	117	3	for	for	ADP
cana-3297	117	4	graph	graph	NOUN
cana-3297	117	5	construction	construction	NOUN
cana-3297	117	6	algorithm	algorithm	NOUN
cana-3297	117	7	1	1	NUM
cana-3297	117	8	outlines	outline	VERB
cana-3297	117	9	the	the	DET
cana-3297	117	10	process	process	NOUN
cana-3297	117	11	for	for	ADP
cana-3297	117	12	constructing	construct	VERB
cana-3297	117	13	the	the	DET
cana-3297	117	14	graph	graph	NOUN
cana-3297	117	15	g	g	NOUN
cana-3297	117	16	from	from	ADP
cana-3297	117	17	a	a	DET
cana-3297	117	18	set	set	NOUN
cana-3297	117	19	of	of	ADP
cana-3297	117	20	lyndon	lyndon	PROPN
cana-3297	117	21	partial	partial	ADJ
cana-3297	117	22	words	word	NOUN
cana-3297	117	23	l	l	PROPN
cana-3297	117	24	♢	♢	PROPN
cana-3297	117	25	.	.	PUNCT
cana-3297	118	1	here	here	ADV
cana-3297	118	2	,	,	PUNCT
cana-3297	118	3	isconnected	isconnecte	VERB
cana-3297	118	4	checks	check	NOUN
cana-3297	118	5	for	for	ADP
cana-3297	118	6	relationships	relationship	NOUN
cana-3297	118	7	like	like	ADP
cana-3297	118	8	proximity	proximity	NOUN
cana-3297	118	9	,	,	PUNCT
cana-3297	118	10	substring	substre	VERB
cana-3297	118	11	sharing	sharing	NOUN
cana-3297	118	12	,	,	PUNCT
cana-3297	118	13	or	or	CCONJ
cana-3297	118	14	conjugacy	conjugacy	ADJ
cana-3297	118	15	,	,	PUNCT
cana-3297	118	16	and	and	CCONJ
cana-3297	118	17	computeweight	computeweight	NOUN
cana-3297	118	18	calculates	calculate	NOUN
cana-3297	118	19	edge	edge	VERB
cana-3297	118	20	weights	weight	NOUN
cana-3297	118	21	.	.	PUNCT
cana-3297	119	1	3.1.3	3.1.3	NUM
cana-3297	119	2	examples	example	NOUN
cana-3297	119	3	of	of	ADP
cana-3297	119	4	graph	graph	NOUN
cana-3297	119	5	representations	representation	NOUN
cana-3297	119	6	example	example	NOUN
cana-3297	119	7	3.2	3.2	NUM
cana-3297	119	8	.	.	PUNCT
cana-3297	120	1	consider	consider	VERB
cana-3297	120	2	the	the	DET
cana-3297	120	3	set	set	NOUN
cana-3297	120	4	of	of	ADP
cana-3297	120	5	lyndon	lyndon	PROPN
cana-3297	120	6	partial	partial	ADJ
cana-3297	120	7	words	word	NOUN
cana-3297	120	8	l	l	NOUN
cana-3297	120	9	♢	♢	PROPN
cana-3297	120	10	=	=	X
cana-3297	120	11	{	{	PUNCT
cana-3297	120	12	a	a	DET
cana-3297	120	13	♢	♢	PROPN
cana-3297	120	14	,	,	PUNCT
cana-3297	120	15	♢	♢	PROPN
cana-3297	120	16	b	b	PROPN
cana-3297	120	17	,	,	PUNCT
cana-3297	120	18	a	a	DET
cana-3297	120	19	♢	♢	PROPN
cana-3297	120	20	b	b	NOUN
cana-3297	120	21	}	}	PUNCT
cana-3297	120	22	over	over	ADP
cana-3297	120	23	σ	σ	PROPN
cana-3297	120	24	♢	♢	PROPN
cana-3297	120	25	=	=	X
cana-3297	120	26	{	{	PUNCT
cana-3297	120	27	a	a	DET
cana-3297	120	28	≺	≺	NOUN
cana-3297	120	29	b	b	NOUN
cana-3297	120	30	}	}	PUNCT
cana-3297	120	31	∪	∪	NOUN
cana-3297	120	32	{	{	PUNCT
cana-3297	120	33	♢	♢	NOUN
cana-3297	120	34	}	}	PUNCT
cana-3297	120	35	.	.	PUNCT
cana-3297	121	1	the	the	DET
cana-3297	121	2	resulting	result	VERB
cana-3297	121	3	graph	graph	NOUN
cana-3297	121	4	g	g	PROPN
cana-3297	121	5	is	be	AUX
cana-3297	121	6	:	:	PUNCT
cana-3297	121	7	•	•	DET
cana-3297	121	8	nodes	node	NOUN
cana-3297	121	9	:	:	PUNCT
cana-3297	121	10	v	v	X
cana-3297	121	11	=	=	PUNCT
cana-3297	121	12	{	{	PUNCT
cana-3297	121	13	a	a	DET
cana-3297	121	14	♢	♢	PROPN
cana-3297	121	15	,	,	PUNCT
cana-3297	121	16	♢	♢	PROPN
cana-3297	121	17	b	b	PROPN
cana-3297	121	18	,	,	PUNCT
cana-3297	121	19	a	a	DET
cana-3297	121	20	♢	♢	PROPN
cana-3297	121	21	b	b	NOUN
cana-3297	121	22	}	}	PUNCT
cana-3297	121	23	.	.	PUNCT
cana-3297	122	1	•	•	NOUN
cana-3297	122	2	edges	edge	NOUN
cana-3297	122	3	:	:	PUNCT
cana-3297	122	4	e	e	X
cana-3297	122	5	=	=	PRON
cana-3297	122	6	{	{	PUNCT
cana-3297	122	7	(	(	PUNCT
cana-3297	122	8	a	a	DET
cana-3297	122	9	♢	♢	PROPN
cana-3297	122	10	,	,	PUNCT
cana-3297	122	11	a	a	DET
cana-3297	122	12	♢	♢	PROPN
cana-3297	122	13	b	b	PROPN
cana-3297	122	14	,	,	PUNCT
cana-3297	122	15	0.8	0.8	NUM
cana-3297	122	16	)	)	PUNCT
cana-3297	122	17	,	,	PUNCT
cana-3297	122	18	(	(	PUNCT
cana-3297	122	19	a	a	DET
cana-3297	122	20	♢	♢	PROPN
cana-3297	122	21	b	b	PROPN
cana-3297	122	22	,	,	PUNCT
cana-3297	122	23	♢	♢	PROPN
cana-3297	122	24	b	b	PROPN
cana-3297	122	25	,	,	PUNCT
cana-3297	122	26	0.7	0.7	NUM
cana-3297	122	27	)	)	PUNCT
cana-3297	122	28	}	}	PUNCT
cana-3297	122	29	,	,	PUNCT
cana-3297	122	30	where	where	SCONJ
cana-3297	122	31	weights	weight	NOUN
cana-3297	122	32	represent	represent	VERB
cana-3297	122	33	semantic	semantic	ADJ
cana-3297	122	34	similarity	similarity	NOUN
cana-3297	122	35	scores	score	NOUN
cana-3297	122	36	.	.	PUNCT
cana-3297	123	1	this	this	DET
cana-3297	123	2	graph	graph	NOUN
cana-3297	123	3	encodes	encode	VERB
cana-3297	123	4	both	both	CCONJ
cana-3297	123	5	lexicographical	lexicographical	ADJ
cana-3297	123	6	and	and	CCONJ
cana-3297	123	7	structural	structural	ADJ
cana-3297	123	8	relationships	relationship	NOUN
cana-3297	123	9	between	between	ADP
cana-3297	123	10	the	the	DET
cana-3297	123	11	words	word	NOUN
cana-3297	123	12	.	.	PUNCT
cana-3297	124	1	communications	communication	NOUN
cana-3297	124	2	on	on	ADP
cana-3297	124	3	applied	apply	VERB
cana-3297	124	4	nonlinear	nonlinear	ADJ
cana-3297	124	5	analysis	analysis	NOUN
cana-3297	124	6	issn	issn	NOUN
cana-3297	124	7	:	:	PUNCT
cana-3297	124	8	1074	1074	NUM
cana-3297	124	9	-	-	PUNCT
cana-3297	124	10	133x	133x	NUM
cana-3297	124	11	vol	vol	NOUN
cana-3297	124	12	32	32	NUM
cana-3297	124	13	no	no	NOUN
cana-3297	124	14	.	.	PUNCT
cana-3297	125	1	6s	6s	NUM
cana-3297	125	2	(	(	PUNCT
cana-3297	125	3	2025	2025	NUM
cana-3297	125	4	)	)	PUNCT
cana-3297	125	5	306	306	NUM
cana-3297	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	125	7	3.1.4	3.1.4	NUM
cana-3297	125	8	properties	property	NOUN
cana-3297	125	9	of	of	ADP
cana-3297	125	10	the	the	DET
cana-3297	125	11	graph	graph	NOUN
cana-3297	125	12	the	the	DET
cana-3297	125	13	graph	graph	NOUN
cana-3297	125	14	g	g	PROPN
cana-3297	125	15	of	of	ADP
cana-3297	125	16	lyndon	lyndon	PROPN
cana-3297	125	17	partial	partial	ADJ
cana-3297	125	18	words	word	NOUN
cana-3297	125	19	exhibits	exhibit	VERB
cana-3297	125	20	unique	unique	ADJ
cana-3297	125	21	properties	property	NOUN
cana-3297	125	22	:	:	PUNCT
cana-3297	125	23	•	•	NOUN
cana-3297	125	24	sparsity	sparsity	NOUN
cana-3297	125	25	:	:	PUNCT
cana-3297	125	26	graphs	graph	NOUN
cana-3297	125	27	are	be	AUX
cana-3297	125	28	typically	typically	ADV
cana-3297	125	29	sparse	sparse	ADJ
cana-3297	125	30	due	due	ADP
cana-3297	125	31	to	to	ADP
cana-3297	125	32	strict	strict	ADJ
cana-3297	125	33	lyndon	lyndon	NOUN
cana-3297	125	34	word	word	NOUN
cana-3297	125	35	constraints	constraint	NOUN
cana-3297	125	36	.	.	PUNCT
cana-3297	126	1	•	•	NUM
cana-3297	126	2	connected	connected	ADJ
cana-3297	126	3	components	component	NOUN
cana-3297	126	4	:	:	PUNCT
cana-3297	126	5	each	each	DET
cana-3297	126	6	component	component	NOUN
cana-3297	126	7	corresponds	correspond	VERB
cana-3297	126	8	to	to	ADP
cana-3297	126	9	a	a	DET
cana-3297	126	10	distinct	distinct	ADJ
cana-3297	126	11	class	class	NOUN
cana-3297	126	12	of	of	ADP
cana-3297	126	13	related	relate	VERB
cana-3297	126	14	lyndon	lyndon	NOUN
cana-3297	126	15	partial	partial	ADJ
cana-3297	126	16	words	word	NOUN
cana-3297	126	17	.	.	PUNCT
cana-3297	127	1	•	•	NUM
cana-3297	127	2	cycles	cycle	NOUN
cana-3297	127	3	:	:	PUNCT
cana-3297	127	4	cycles	cycle	NOUN
cana-3297	127	5	reflect	reflect	VERB
cana-3297	127	6	rotational	rotational	ADJ
cana-3297	127	7	symmetries	symmetry	NOUN
cana-3297	127	8	in	in	ADP
cana-3297	127	9	lyndon	lyndon	PROPN
cana-3297	127	10	partial	partial	ADJ
cana-3297	127	11	words	word	NOUN
cana-3297	127	12	,	,	PUNCT
cana-3297	127	13	contributing	contribute	VERB
cana-3297	127	14	to	to	ADP
cana-3297	127	15	the	the	DET
cana-3297	127	16	graph	graph	NOUN
cana-3297	127	17	’s	’s	PART
cana-3297	127	18	algebraic	algebraic	ADJ
cana-3297	127	19	structure	structure	NOUN
cana-3297	127	20	.	.	PUNCT
cana-3297	128	1	3.1.5	3.1.5	NUM
cana-3297	128	2	applications	application	NOUN
cana-3297	128	3	of	of	ADP
cana-3297	128	4	the	the	DET
cana-3297	128	5	graph	graph	NOUN
cana-3297	128	6	framework	framework	NOUN
cana-3297	128	7	community	community	NOUN
cana-3297	128	8	detection	detection	NOUN
cana-3297	128	9	:	:	PUNCT
cana-3297	128	10	algorithms	algorithm	NOUN
cana-3297	128	11	like	like	ADP
cana-3297	128	12	the	the	DET
cana-3297	128	13	louvain	louvain	NOUN
cana-3297	128	14	method	method	NOUN
cana-3297	128	15	[	[	X
cana-3297	128	16	4	4	X
cana-3297	128	17	]	]	PUNCT
cana-3297	128	18	identify	identify	VERB
cana-3297	128	19	clusters	cluster	NOUN
cana-3297	128	20	of	of	ADP
cana-3297	128	21	related	related	ADJ
cana-3297	128	22	lyndon	lyndon	NOUN
cana-3297	128	23	partial	partial	ADJ
cana-3297	128	24	words	word	NOUN
cana-3297	128	25	,	,	PUNCT
cana-3297	128	26	facilitating	facilitate	VERB
cana-3297	128	27	applications	application	NOUN
cana-3297	128	28	in	in	ADP
cana-3297	128	29	sequence	sequence	NOUN
cana-3297	128	30	pattern	pattern	NOUN
cana-3297	128	31	recognition	recognition	NOUN
cana-3297	128	32	and	and	CCONJ
cana-3297	128	33	motif	motif	NOUN
cana-3297	128	34	discovery	discovery	NOUN
cana-3297	128	35	.	.	PUNCT
cana-3297	129	1	node	node	ADJ
cana-3297	129	2	embeddings	embedding	NOUN
cana-3297	129	3	:	:	PUNCT
cana-3297	129	4	techniques	technique	NOUN
cana-3297	129	5	such	such	ADJ
cana-3297	129	6	as	as	ADP
cana-3297	129	7	node2vec	node2vec	NOUN
cana-3297	129	8	[	[	X
cana-3297	129	9	6	6	NUM
cana-3297	129	10	]	]	PUNCT
cana-3297	129	11	generate	generate	VERB
cana-3297	129	12	vector	vector	NOUN
cana-3297	129	13	embeddings	embedding	NOUN
cana-3297	129	14	of	of	ADP
cana-3297	129	15	lyndon	lyndon	PROPN
cana-3297	129	16	partial	partial	ADJ
cana-3297	129	17	words	word	NOUN
cana-3297	129	18	for	for	ADP
cana-3297	129	19	downstream	downstream	ADJ
cana-3297	129	20	tasks	task	NOUN
cana-3297	129	21	like	like	ADP
cana-3297	129	22	classification	classification	NOUN
cana-3297	129	23	and	and	CCONJ
cana-3297	129	24	clustering	clustering	NOUN
cana-3297	129	25	.	.	PUNCT
cana-3297	130	1	graph	graph	NOUN
cana-3297	130	2	neural	neural	ADJ
cana-3297	130	3	networks	network	NOUN
cana-3297	130	4	:	:	PUNCT
cana-3297	130	5	graph	graph	VERB
cana-3297	130	6	convolutional	convolutional	ADJ
cana-3297	130	7	networks	network	NOUN
cana-3297	130	8	(	(	PUNCT
cana-3297	130	9	gcns	gcns	PROPN
cana-3297	130	10	)	)	PUNCT
cana-3297	130	11	and	and	CCONJ
cana-3297	130	12	attention	attention	NOUN
cana-3297	130	13	mechanisms	mechanism	NOUN
cana-3297	130	14	enhance	enhance	VERB
cana-3297	130	15	the	the	DET
cana-3297	130	16	modeling	modeling	NOUN
cana-3297	130	17	of	of	ADP
cana-3297	130	18	relationships	relationship	NOUN
cana-3297	130	19	in	in	ADP
cana-3297	130	20	datasets	dataset	NOUN
cana-3297	130	21	where	where	SCONJ
cana-3297	130	22	lyndon	lyndon	PROPN
cana-3297	130	23	partial	partial	ADJ
cana-3297	130	24	words	word	NOUN
cana-3297	130	25	play	play	VERB
cana-3297	130	26	a	a	DET
cana-3297	130	27	critical	critical	ADJ
cana-3297	130	28	role	role	NOUN
cana-3297	130	29	,	,	PUNCT
cana-3297	130	30	such	such	ADJ
cana-3297	130	31	as	as	ADP
cana-3297	130	32	in	in	ADP
cana-3297	130	33	bioinformatics	bioinformatics	NOUN
cana-3297	130	34	.	.	PUNCT
cana-3297	131	1	3.2	3.2	NUM
cana-3297	131	2	integration	integration	NOUN
cana-3297	131	3	of	of	ADP
cana-3297	131	4	lyndon	lyndon	PROPN
cana-3297	131	5	partial	partial	ADJ
cana-3297	131	6	words	word	NOUN
cana-3297	131	7	with	with	ADP
cana-3297	131	8	gbml	gbml	ADJ
cana-3297	131	9	one	one	NUM
cana-3297	131	10	of	of	ADP
cana-3297	131	11	the	the	DET
cana-3297	131	12	promising	promising	ADJ
cana-3297	131	13	criteria	criterion	NOUN
cana-3297	131	14	for	for	ADP
cana-3297	131	15	linking	link	VERB
cana-3297	131	16	lyndon	lyndon	NOUN
cana-3297	131	17	partial	partial	ADJ
cana-3297	131	18	words	word	NOUN
cana-3297	131	19	with	with	ADP
cana-3297	131	20	graphbased	graphbased	ADJ
cana-3297	131	21	machine	machine	NOUN
cana-3297	131	22	learning	learning	NOUN
cana-3297	131	23	(	(	PUNCT
cana-3297	131	24	gbml	gbml	ADJ
cana-3297	131	25	)	)	PUNCT
cana-3297	131	26	is	be	AUX
cana-3297	131	27	the	the	DET
cana-3297	131	28	application	application	NOUN
cana-3297	131	29	of	of	ADP
cana-3297	131	30	community	community	NOUN
cana-3297	131	31	detection	detection	NOUN
cana-3297	131	32	techniques	technique	NOUN
cana-3297	131	33	.	.	PUNCT
cana-3297	132	1	community	community	NOUN
cana-3297	132	2	detection	detection	NOUN
cana-3297	132	3	algorithms	algorithm	NOUN
cana-3297	132	4	aim	aim	VERB
cana-3297	132	5	to	to	PART
cana-3297	132	6	identify	identify	VERB
cana-3297	132	7	clusters	cluster	NOUN
cana-3297	132	8	of	of	ADP
cana-3297	132	9	nodes	node	NOUN
cana-3297	132	10	(	(	PUNCT
cana-3297	132	11	representing	represent	VERB
cana-3297	132	12	lyndon	lyndon	NOUN
cana-3297	132	13	partial	partial	ADJ
cana-3297	132	14	words	word	NOUN
cana-3297	132	15	)	)	PUNCT
cana-3297	132	16	that	that	PRON
cana-3297	132	17	are	be	AUX
cana-3297	132	18	densely	densely	ADV
cana-3297	132	19	connected	connect	VERB
cana-3297	132	20	within	within	ADP
cana-3297	132	21	a	a	DET
cana-3297	132	22	graph	graph	NOUN
cana-3297	132	23	.	.	PUNCT
cana-3297	133	1	these	these	DET
cana-3297	133	2	clusters	cluster	NOUN
cana-3297	133	3	,	,	PUNCT
cana-3297	133	4	or	or	CCONJ
cana-3297	133	5	communities	community	NOUN
cana-3297	133	6	,	,	PUNCT
cana-3297	133	7	represent	represent	VERB
cana-3297	133	8	groups	group	NOUN
cana-3297	133	9	of	of	ADP
cana-3297	133	10	similar	similar	ADJ
cana-3297	133	11	sequences	sequence	NOUN
cana-3297	133	12	or	or	CCONJ
cana-3297	133	13	patterns	pattern	NOUN
cana-3297	133	14	that	that	PRON
cana-3297	133	15	share	share	VERB
cana-3297	133	16	structural	structural	ADJ
cana-3297	133	17	similarities	similarity	NOUN
cana-3297	133	18	,	,	PUNCT
cana-3297	133	19	thus	thus	ADV
cana-3297	133	20	offering	offer	VERB
cana-3297	133	21	a	a	DET
cana-3297	133	22	way	way	NOUN
cana-3297	133	23	to	to	PART
cana-3297	133	24	uncover	uncover	VERB
cana-3297	133	25	hidden	hidden	ADJ
cana-3297	133	26	relationships	relationship	NOUN
cana-3297	133	27	in	in	ADP
cana-3297	133	28	sequence	sequence	NOUN
cana-3297	133	29	data	datum	NOUN
cana-3297	133	30	.	.	PUNCT
cana-3297	134	1	3.2.1	3.2.1	NUM
cana-3297	134	2	formalizing	formalize	VERB
cana-3297	134	3	the	the	DET
cana-3297	134	4	connection	connection	NOUN
cana-3297	134	5	lyndon	lyndon	PROPN
cana-3297	134	6	partial	partial	ADJ
cana-3297	134	7	words	word	NOUN
cana-3297	134	8	possess	possess	VERB
cana-3297	134	9	unique	unique	ADJ
cana-3297	134	10	combinatorial	combinatorial	ADJ
cana-3297	134	11	properties	property	NOUN
cana-3297	134	12	,	,	PUNCT
cana-3297	134	13	such	such	ADJ
cana-3297	134	14	as	as	ADP
cana-3297	134	15	minimality	minimality	NOUN
cana-3297	134	16	and	and	CCONJ
cana-3297	134	17	primitiveness	primitiveness	NOUN
cana-3297	134	18	,	,	PUNCT
cana-3297	134	19	which	which	PRON
cana-3297	134	20	make	make	VERB
cana-3297	134	21	them	they	PRON
cana-3297	134	22	well	well	ADV
cana-3297	134	23	-	-	PUNCT
cana-3297	134	24	suited	suit	VERB
cana-3297	134	25	for	for	ADP
cana-3297	134	26	community	community	NOUN
cana-3297	134	27	detection	detection	NOUN
cana-3297	134	28	in	in	ADP
cana-3297	134	29	graph	graph	NOUN
cana-3297	134	30	-	-	PUNCT
cana-3297	134	31	based	base	VERB
cana-3297	134	32	models	model	NOUN
cana-3297	134	33	.	.	PUNCT
cana-3297	135	1	since	since	SCONJ
cana-3297	135	2	lyndon	lyndon	PROPN
cana-3297	135	3	partial	partial	ADJ
cana-3297	135	4	words	word	NOUN
cana-3297	135	5	are	be	AUX
cana-3297	135	6	the	the	DET
cana-3297	135	7	smallest	small	ADJ
cana-3297	135	8	,	,	PUNCT
cana-3297	135	9	non	non	ADJ
cana-3297	135	10	-	-	ADJ
cana-3297	135	11	repetitive	repetitive	ADJ
cana-3297	135	12	subsequences	subsequence	NOUN
cana-3297	135	13	within	within	ADP
cana-3297	135	14	a	a	DET
cana-3297	135	15	set	set	NOUN
cana-3297	135	16	,	,	PUNCT
cana-3297	135	17	they	they	PRON
cana-3297	135	18	can	can	AUX
cana-3297	135	19	be	be	AUX
cana-3297	135	20	used	use	VERB
cana-3297	135	21	to	to	PART
cana-3297	135	22	identify	identify	VERB
cana-3297	135	23	key	key	ADJ
cana-3297	135	24	sequence	sequence	NOUN
cana-3297	135	25	motifs	motif	NOUN
cana-3297	135	26	that	that	PRON
cana-3297	135	27	are	be	AUX
cana-3297	135	28	fundamental	fundamental	ADJ
cana-3297	135	29	to	to	ADP
cana-3297	135	30	group	group	NOUN
cana-3297	135	31	formation	formation	NOUN
cana-3297	135	32	in	in	ADP
cana-3297	135	33	graphs	graph	NOUN
cana-3297	135	34	.	.	PUNCT
cana-3297	136	1	when	when	SCONJ
cana-3297	136	2	applied	apply	VERB
cana-3297	136	3	to	to	ADP
cana-3297	136	4	sequence	sequence	NOUN
cana-3297	136	5	data	datum	NOUN
cana-3297	136	6	,	,	PUNCT
cana-3297	136	7	the	the	DET
cana-3297	136	8	nodes	node	NOUN
cana-3297	136	9	of	of	ADP
cana-3297	136	10	a	a	DET
cana-3297	136	11	graph	graph	NOUN
cana-3297	136	12	represent	represent	VERB
cana-3297	136	13	lyndon	lyndon	PROPN
cana-3297	136	14	partial	partial	ADJ
cana-3297	136	15	words	word	NOUN
cana-3297	136	16	,	,	PUNCT
cana-3297	136	17	while	while	SCONJ
cana-3297	136	18	the	the	DET
cana-3297	136	19	edges	edge	NOUN
cana-3297	136	20	are	be	AUX
cana-3297	136	21	formed	form	VERB
cana-3297	136	22	based	base	VERB
cana-3297	136	23	on	on	ADP
cana-3297	136	24	similarity	similarity	NOUN
cana-3297	136	25	measures	measure	NOUN
cana-3297	136	26	such	such	ADJ
cana-3297	136	27	as	as	ADP
cana-3297	136	28	hamming	hamming	NOUN
cana-3297	136	29	distance	distance	NOUN
cana-3297	136	30	or	or	CCONJ
cana-3297	136	31	shared	shared	ADJ
cana-3297	136	32	substrings	substring	NOUN
cana-3297	136	33	.	.	PUNCT
cana-3297	137	1	the	the	DET
cana-3297	137	2	proximity	proximity	NOUN
cana-3297	137	3	of	of	ADP
cana-3297	137	4	two	two	NUM
cana-3297	137	5	nodes	node	NOUN
cana-3297	137	6	can	can	AUX
cana-3297	137	7	indicate	indicate	VERB
cana-3297	137	8	that	that	SCONJ
cana-3297	137	9	their	their	PRON
cana-3297	137	10	corresponding	correspond	VERB
cana-3297	137	11	lyndon	lyndon	NOUN
cana-3297	137	12	partial	partial	ADJ
cana-3297	137	13	words	word	NOUN
cana-3297	137	14	exhibit	exhibit	VERB
cana-3297	137	15	similar	similar	ADJ
cana-3297	137	16	sequence	sequence	NOUN
cana-3297	137	17	patterns	pattern	NOUN
cana-3297	137	18	,	,	PUNCT
cana-3297	137	19	thereby	thereby	ADV
cana-3297	137	20	making	make	VERB
cana-3297	137	21	them	they	PRON
cana-3297	137	22	part	part	NOUN
cana-3297	137	23	of	of	ADP
cana-3297	137	24	the	the	DET
cana-3297	137	25	same	same	ADJ
cana-3297	137	26	community	community	NOUN
cana-3297	137	27	.	.	PUNCT
cana-3297	138	1	the	the	DET
cana-3297	138	2	integration	integration	NOUN
cana-3297	138	3	of	of	ADP
cana-3297	138	4	lyndon	lyndon	PROPN
cana-3297	138	5	partial	partial	ADJ
cana-3297	138	6	words	word	NOUN
cana-3297	138	7	with	with	ADP
cana-3297	138	8	graph	graph	NOUN
cana-3297	138	9	-	-	PUNCT
cana-3297	138	10	based	base	VERB
cana-3297	138	11	machine	machine	NOUN
cana-3297	138	12	learning	learning	NOUN
cana-3297	138	13	(	(	PUNCT
cana-3297	138	14	gbml	gbml	ADJ
cana-3297	138	15	)	)	PUNCT
cana-3297	138	16	is	be	AUX
cana-3297	138	17	done	do	VERB
cana-3297	138	18	to	to	PART
cana-3297	138	19	explore	explore	VERB
cana-3297	138	20	and	and	CCONJ
cana-3297	138	21	analyze	analyze	VERB
cana-3297	138	22	the	the	DET
cana-3297	138	23	semantic	semantic	ADJ
cana-3297	138	24	and	and	CCONJ
cana-3297	138	25	structural	structural	ADJ
cana-3297	138	26	relationships	relationship	NOUN
cana-3297	138	27	between	between	ADP
cana-3297	138	28	linguistic	linguistic	ADJ
cana-3297	138	29	units	unit	NOUN
cana-3297	138	30	(	(	PUNCT
cana-3297	138	31	in	in	ADP
cana-3297	138	32	this	this	DET
cana-3297	138	33	case	case	NOUN
cana-3297	138	34	,	,	PUNCT
cana-3297	138	35	words	word	NOUN
cana-3297	138	36	)	)	PUNCT
cana-3297	138	37	using	use	VERB
cana-3297	138	38	graph	graph	NOUN
cana-3297	138	39	-	-	PUNCT
cana-3297	138	40	based	base	VERB
cana-3297	138	41	techniques	technique	NOUN
cana-3297	138	42	.	.	PUNCT
cana-3297	139	1	the	the	DET
cana-3297	139	2	following	follow	VERB
cana-3297	139	3	sections	section	NOUN
cana-3297	139	4	explain	explain	VERB
cana-3297	139	5	in	in	ADP
cana-3297	139	6	detail	detail	NOUN
cana-3297	139	7	why	why	SCONJ
cana-3297	139	8	this	this	DET
cana-3297	139	9	integration	integration	NOUN
cana-3297	139	10	is	be	AUX
cana-3297	139	11	important	important	ADJ
cana-3297	139	12	and	and	CCONJ
cana-3297	139	13	how	how	SCONJ
cana-3297	139	14	it	it	PRON
cana-3297	139	15	enhances	enhance	VERB
cana-3297	139	16	the	the	DET
cana-3297	139	17	study	study	NOUN
cana-3297	139	18	of	of	ADP
cana-3297	139	19	lyndon	lyndon	PROPN
cana-3297	139	20	partial	partial	ADJ
cana-3297	139	21	words	word	NOUN
cana-3297	139	22	.	.	PUNCT
cana-3297	140	1	lyndon	lyndon	PROPN
cana-3297	140	2	words	word	NOUN
cana-3297	140	3	,	,	PUNCT
cana-3297	140	4	a	a	DET
cana-3297	140	5	concept	concept	NOUN
cana-3297	140	6	from	from	ADP
cana-3297	140	7	combinatorics	combinatoric	NOUN
cana-3297	140	8	,	,	PUNCT
cana-3297	140	9	are	be	AUX
cana-3297	140	10	words	word	NOUN
cana-3297	140	11	that	that	PRON
cana-3297	140	12	can	can	AUX
cana-3297	140	13	not	not	PART
cana-3297	140	14	be	be	AUX
cana-3297	140	15	broken	break	VERB
cana-3297	140	16	down	down	ADP
cana-3297	140	17	into	into	ADP
cana-3297	140	18	smaller	small	ADJ
cana-3297	140	19	nontrivial	nontrivial	ADJ
cana-3297	140	20	factors	factor	NOUN
cana-3297	140	21	.	.	PUNCT
cana-3297	141	1	these	these	PRON
cana-3297	141	2	are	be	AUX
cana-3297	141	3	often	often	ADV
cana-3297	141	4	studied	study	VERB
cana-3297	141	5	in	in	ADP
cana-3297	141	6	theoretical	theoretical	ADJ
cana-3297	141	7	computer	computer	NOUN
cana-3297	141	8	science	science	NOUN
cana-3297	141	9	,	,	PUNCT
cana-3297	141	10	especially	especially	ADV
cana-3297	141	11	in	in	ADP
cana-3297	141	12	string	string	NOUN
cana-3297	141	13	theory	theory	NOUN
cana-3297	141	14	and	and	CCONJ
cana-3297	141	15	formal	formal	ADJ
cana-3297	141	16	language	language	NOUN
cana-3297	141	17	theory	theory	NOUN
cana-3297	141	18	.	.	PUNCT
cana-3297	142	1	lyndon	lyndon	PROPN
cana-3297	142	2	partial	partial	ADJ
cana-3297	142	3	words	word	NOUN
cana-3297	142	4	extend	extend	VERB
cana-3297	142	5	this	this	DET
cana-3297	142	6	idea	idea	NOUN
cana-3297	142	7	by	by	ADP
cana-3297	142	8	including	include	VERB
cana-3297	142	9	words	word	NOUN
cana-3297	142	10	with	with	ADP
cana-3297	142	11	a	a	DET
cana-3297	142	12	special	special	ADJ
cana-3297	142	13	structure	structure	NOUN
cana-3297	142	14	that	that	PRON
cana-3297	142	15	may	may	AUX
cana-3297	142	16	involve	involve	VERB
cana-3297	142	17	placeholders	placeholder	NOUN
cana-3297	142	18	communications	communication	NOUN
cana-3297	142	19	on	on	ADP
cana-3297	142	20	applied	apply	VERB
cana-3297	142	21	nonlinear	nonlinear	ADJ
cana-3297	142	22	analysis	analysis	NOUN
cana-3297	142	23	issn	issn	NOUN
cana-3297	142	24	:	:	PUNCT
cana-3297	142	25	1074	1074	NUM
cana-3297	142	26	-	-	PUNCT
cana-3297	142	27	133x	133x	NUM
cana-3297	142	28	vol	vol	NOUN
cana-3297	142	29	32	32	NUM
cana-3297	142	30	no	no	NOUN
cana-3297	142	31	.	.	PUNCT
cana-3297	143	1	6s	6s	NUM
cana-3297	143	2	(	(	PUNCT
cana-3297	143	3	2025	2025	NUM
cana-3297	143	4	)	)	PUNCT
cana-3297	143	5	307	307	NUM
cana-3297	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	143	7	(	(	PUNCT
cana-3297	143	8	like	like	INTJ
cana-3297	143	9	♢	♢	PROPN
cana-3297	143	10	)	)	PUNCT
cana-3297	143	11	to	to	PART
cana-3297	143	12	represent	represent	VERB
cana-3297	143	13	missing	missing	ADJ
cana-3297	143	14	or	or	CCONJ
cana-3297	143	15	variable	variable	ADJ
cana-3297	143	16	parts	part	NOUN
cana-3297	143	17	of	of	ADP
cana-3297	143	18	the	the	DET
cana-3297	143	19	word	word	NOUN
cana-3297	143	20	.	.	PUNCT
cana-3297	144	1	these	these	DET
cana-3297	144	2	partial	partial	ADJ
cana-3297	144	3	words	word	NOUN
cana-3297	144	4	,	,	PUNCT
cana-3297	144	5	though	though	SCONJ
cana-3297	144	6	abstract	abstract	ADJ
cana-3297	144	7	,	,	PUNCT
cana-3297	144	8	have	have	VERB
cana-3297	144	9	applications	application	NOUN
cana-3297	144	10	in	in	ADP
cana-3297	144	11	modeling	model	VERB
cana-3297	144	12	various	various	ADJ
cana-3297	144	13	types	type	NOUN
cana-3297	144	14	of	of	ADP
cana-3297	144	15	syntactic	syntactic	ADJ
cana-3297	144	16	and	and	CCONJ
cana-3297	144	17	semantic	semantic	ADJ
cana-3297	144	18	structures	structure	NOUN
cana-3297	144	19	in	in	ADP
cana-3297	144	20	computational	computational	ADJ
cana-3297	144	21	linguistics	linguistic	NOUN
cana-3297	144	22	.	.	PUNCT
cana-3297	145	1	the	the	DET
cana-3297	145	2	set	set	NOUN
cana-3297	145	3	of	of	ADP
cana-3297	145	4	lyndon	lyndon	PROPN
cana-3297	145	5	partial	partial	ADJ
cana-3297	145	6	words	word	NOUN
cana-3297	145	7	in	in	ADP
cana-3297	145	8	this	this	DET
cana-3297	145	9	study	study	NOUN
cana-3297	145	10	includes	include	VERB
cana-3297	145	11	simple	simple	ADJ
cana-3297	145	12	structures	structure	NOUN
cana-3297	145	13	like	like	ADP
cana-3297	145	14	a	a	DET
cana-3297	145	15	♢	♢	PROPN
cana-3297	145	16	,	,	PUNCT
cana-3297	145	17	♢	♢	PROPN
cana-3297	145	18	b	b	PROPN
cana-3297	145	19	,	,	PUNCT
cana-3297	145	20	and	and	CCONJ
cana-3297	145	21	a	a	DET
cana-3297	145	22	♢	♢	PROPN
cana-3297	145	23	b	b	PROPN
cana-3297	145	24	,	,	PUNCT
cana-3297	145	25	where	where	SCONJ
cana-3297	145	26	the	the	DET
cana-3297	145	27	placeholder	placeholder	NOUN
cana-3297	145	28	♢	♢	PROPN
cana-3297	145	29	can	can	AUX
cana-3297	145	30	represent	represent	VERB
cana-3297	145	31	different	different	ADJ
cana-3297	145	32	types	type	NOUN
cana-3297	145	33	of	of	ADP
cana-3297	145	34	variation	variation	NOUN
cana-3297	145	35	.	.	PUNCT
cana-3297	146	1	by	by	ADP
cana-3297	146	2	creating	create	VERB
cana-3297	146	3	a	a	DET
cana-3297	146	4	graph	graph	NOUN
cana-3297	146	5	of	of	ADP
cana-3297	146	6	these	these	DET
cana-3297	146	7	partial	partial	ADJ
cana-3297	146	8	words	word	NOUN
cana-3297	146	9	,	,	PUNCT
cana-3297	146	10	we	we	PRON
cana-3297	146	11	can	can	AUX
cana-3297	146	12	visualize	visualize	VERB
cana-3297	146	13	and	and	CCONJ
cana-3297	146	14	analyze	analyze	VERB
cana-3297	146	15	the	the	DET
cana-3297	146	16	underlying	underlie	VERB
cana-3297	146	17	relationships	relationship	NOUN
cana-3297	146	18	between	between	ADP
cana-3297	146	19	these	these	DET
cana-3297	146	20	variations	variation	NOUN
cana-3297	146	21	and	and	CCONJ
cana-3297	146	22	understand	understand	VERB
cana-3297	146	23	how	how	SCONJ
cana-3297	146	24	they	they	PRON
cana-3297	146	25	connect	connect	VERB
cana-3297	146	26	or	or	CCONJ
cana-3297	146	27	differ	differ	VERB
cana-3297	146	28	based	base	VERB
cana-3297	146	29	on	on	ADP
cana-3297	146	30	similarity	similarity	NOUN
cana-3297	146	31	.	.	PUNCT
cana-3297	147	1	graph	graph	NOUN
cana-3297	147	2	-	-	PUNCT
cana-3297	147	3	based	base	VERB
cana-3297	147	4	machine	machine	NOUN
cana-3297	147	5	learning	learning	NOUN
cana-3297	147	6	(	(	PUNCT
cana-3297	147	7	gbml	gbml	ADJ
cana-3297	147	8	)	)	PUNCT
cana-3297	147	9	is	be	AUX
cana-3297	147	10	particularly	particularly	ADV
cana-3297	147	11	useful	useful	ADJ
cana-3297	147	12	when	when	SCONJ
cana-3297	147	13	analyzing	analyze	VERB
cana-3297	147	14	data	datum	NOUN
cana-3297	147	15	that	that	PRON
cana-3297	147	16	inherently	inherently	ADV
cana-3297	147	17	has	have	VERB
cana-3297	147	18	relationships	relationship	NOUN
cana-3297	147	19	or	or	CCONJ
cana-3297	147	20	connections	connection	NOUN
cana-3297	147	21	between	between	ADP
cana-3297	147	22	entities	entity	NOUN
cana-3297	147	23	.	.	PUNCT
cana-3297	148	1	in	in	ADP
cana-3297	148	2	the	the	DET
cana-3297	148	3	case	case	NOUN
cana-3297	148	4	of	of	ADP
cana-3297	148	5	lyndon	lyndon	PROPN
cana-3297	148	6	partial	partial	ADJ
cana-3297	148	7	words	word	NOUN
cana-3297	148	8	,	,	PUNCT
cana-3297	148	9	we	we	PRON
cana-3297	148	10	have	have	VERB
cana-3297	148	11	a	a	DET
cana-3297	148	12	set	set	NOUN
cana-3297	148	13	of	of	ADP
cana-3297	148	14	words	word	NOUN
cana-3297	148	15	that	that	PRON
cana-3297	148	16	can	can	AUX
cana-3297	148	17	be	be	AUX
cana-3297	148	18	treated	treat	VERB
cana-3297	148	19	as	as	ADP
cana-3297	148	20	nodes	node	NOUN
cana-3297	148	21	in	in	ADP
cana-3297	148	22	a	a	DET
cana-3297	148	23	graph	graph	NOUN
cana-3297	148	24	,	,	PUNCT
cana-3297	148	25	with	with	ADP
cana-3297	148	26	the	the	DET
cana-3297	148	27	edges	edge	NOUN
cana-3297	148	28	representing	represent	VERB
cana-3297	148	29	the	the	DET
cana-3297	148	30	relationships	relationship	NOUN
cana-3297	148	31	(	(	PUNCT
cana-3297	148	32	or	or	CCONJ
cana-3297	148	33	similarities	similarity	NOUN
cana-3297	148	34	)	)	PUNCT
cana-3297	148	35	between	between	ADP
cana-3297	148	36	these	these	DET
cana-3297	148	37	words	word	NOUN
cana-3297	148	38	.	.	PUNCT
cana-3297	149	1	these	these	DET
cana-3297	149	2	relationships	relationship	NOUN
cana-3297	149	3	can	can	AUX
cana-3297	149	4	be	be	AUX
cana-3297	149	5	computed	compute	VERB
cana-3297	149	6	based	base	VERB
cana-3297	149	7	on	on	ADP
cana-3297	149	8	structural	structural	ADJ
cana-3297	149	9	or	or	CCONJ
cana-3297	149	10	semantic	semantic	ADJ
cana-3297	149	11	properties	property	NOUN
cana-3297	149	12	,	,	PUNCT
cana-3297	149	13	which	which	PRON
cana-3297	149	14	are	be	AUX
cana-3297	149	15	captured	capture	VERB
cana-3297	149	16	by	by	ADP
cana-3297	149	17	graph	graph	NOUN
cana-3297	149	18	-	-	PUNCT
cana-3297	149	19	based	base	VERB
cana-3297	149	20	methods	method	NOUN
cana-3297	149	21	.	.	PUNCT
cana-3297	150	1	in	in	ADP
cana-3297	150	2	gbml	gbml	ADJ
cana-3297	150	3	,	,	PUNCT
cana-3297	150	4	nodes	node	NOUN
cana-3297	150	5	represent	represent	VERB
cana-3297	150	6	data	data	NOUN
cana-3297	150	7	points	point	NOUN
cana-3297	150	8	(	(	PUNCT
cana-3297	150	9	here	here	ADV
cana-3297	150	10	,	,	PUNCT
cana-3297	150	11	the	the	DET
cana-3297	150	12	lyndon	lyndon	PROPN
cana-3297	150	13	partial	partial	ADJ
cana-3297	150	14	words	word	NOUN
cana-3297	150	15	)	)	PUNCT
cana-3297	150	16	,	,	PUNCT
cana-3297	150	17	and	and	CCONJ
cana-3297	150	18	edges	edge	NOUN
cana-3297	150	19	represent	represent	VERB
cana-3297	150	20	the	the	DET
cana-3297	150	21	relationships	relationship	NOUN
cana-3297	150	22	between	between	ADP
cana-3297	150	23	those	those	DET
cana-3297	150	24	points	point	NOUN
cana-3297	150	25	.	.	PUNCT
cana-3297	151	1	by	by	ADP
cana-3297	151	2	treating	treat	VERB
cana-3297	151	3	words	word	NOUN
cana-3297	151	4	as	as	ADP
cana-3297	151	5	nodes	node	NOUN
cana-3297	151	6	in	in	ADP
cana-3297	151	7	a	a	DET
cana-3297	151	8	graph	graph	NOUN
cana-3297	151	9	,	,	PUNCT
cana-3297	151	10	we	we	PRON
cana-3297	151	11	can	can	AUX
cana-3297	151	12	apply	apply	VERB
cana-3297	151	13	various	various	ADJ
cana-3297	151	14	graphbased	graphbased	ADJ
cana-3297	151	15	algorithms	algorithm	NOUN
cana-3297	151	16	and	and	CCONJ
cana-3297	151	17	machine	machine	NOUN
cana-3297	151	18	learning	learn	VERB
cana-3297	151	19	techniques	technique	NOUN
cana-3297	151	20	to	to	PART
cana-3297	151	21	analyze	analyze	VERB
cana-3297	151	22	the	the	DET
cana-3297	151	23	graph	graph	NOUN
cana-3297	151	24	’s	’s	PART
cana-3297	151	25	structure	structure	NOUN
cana-3297	151	26	,	,	PUNCT
cana-3297	151	27	identify	identify	VERB
cana-3297	151	28	clusters	cluster	NOUN
cana-3297	151	29	of	of	ADP
cana-3297	151	30	similar	similar	ADJ
cana-3297	151	31	words	word	NOUN
cana-3297	151	32	,	,	PUNCT
cana-3297	151	33	and	and	CCONJ
cana-3297	151	34	derive	derive	VERB
cana-3297	151	35	insights	insight	NOUN
cana-3297	151	36	about	about	ADP
cana-3297	151	37	the	the	DET
cana-3297	151	38	linguistic	linguistic	ADJ
cana-3297	151	39	relationships	relationship	NOUN
cana-3297	151	40	(	(	PUNCT
cana-3297	151	41	see	see	VERB
cana-3297	151	42	figure	figure	NOUN
cana-3297	151	43	1	1	NUM
cana-3297	151	44	)	)	PUNCT
cana-3297	151	45	.	.	PUNCT
cana-3297	152	1	figure	figure	VERB
cana-3297	152	2	1	1	NUM
cana-3297	152	3	:	:	PUNCT
cana-3297	152	4	graph	graph	NOUN
cana-3297	152	5	with	with	ADP
cana-3297	152	6	communities	community	NOUN
cana-3297	152	7	3.2.2	3.2.2	NUM
cana-3297	152	8	graph	graph	NOUN
cana-3297	152	9	construction	construction	NOUN
cana-3297	152	10	the	the	DET
cana-3297	152	11	first	first	ADJ
cana-3297	152	12	step	step	NOUN
cana-3297	152	13	in	in	ADP
cana-3297	152	14	the	the	DET
cana-3297	152	15	integration	integration	NOUN
cana-3297	152	16	process	process	NOUN
cana-3297	152	17	involves	involve	VERB
cana-3297	152	18	building	build	VERB
cana-3297	152	19	a	a	DET
cana-3297	152	20	graph	graph	NOUN
cana-3297	152	21	based	base	VERB
cana-3297	152	22	on	on	ADP
cana-3297	152	23	the	the	DET
cana-3297	152	24	similarity	similarity	NOUN
cana-3297	152	25	between	between	ADP
cana-3297	152	26	the	the	DET
cana-3297	152	27	lyndon	lyndon	PROPN
cana-3297	152	28	partial	partial	ADJ
cana-3297	152	29	words	word	NOUN
cana-3297	152	30	.	.	PUNCT
cana-3297	153	1	the	the	DET
cana-3297	153	2	similarity	similarity	NOUN
cana-3297	153	3	between	between	ADP
cana-3297	153	4	each	each	DET
cana-3297	153	5	pair	pair	NOUN
cana-3297	153	6	of	of	ADP
cana-3297	153	7	words	word	NOUN
cana-3297	153	8	is	be	AUX
cana-3297	153	9	calculated	calculate	VERB
cana-3297	153	10	based	base	VERB
cana-3297	153	11	on	on	ADP
cana-3297	153	12	the	the	DET
cana-3297	153	13	number	number	NOUN
cana-3297	153	14	of	of	ADP
cana-3297	153	15	matching	match	VERB
cana-3297	153	16	characters	character	NOUN
cana-3297	153	17	in	in	ADP
cana-3297	153	18	corresponding	correspond	VERB
cana-3297	153	19	positions	position	NOUN
cana-3297	153	20	.	.	PUNCT
cana-3297	154	1	words	word	NOUN
cana-3297	154	2	that	that	PRON
cana-3297	154	3	have	have	VERB
cana-3297	154	4	a	a	DET
cana-3297	154	5	high	high	ADJ
cana-3297	154	6	similarity	similarity	NOUN
cana-3297	154	7	score	score	NOUN
cana-3297	154	8	are	be	AUX
cana-3297	154	9	connected	connect	VERB
cana-3297	154	10	by	by	ADP
cana-3297	154	11	an	an	DET
cana-3297	154	12	edge	edge	NOUN
cana-3297	154	13	,	,	PUNCT
cana-3297	154	14	and	and	CCONJ
cana-3297	154	15	the	the	DET
cana-3297	154	16	edge	edge	NOUN
cana-3297	154	17	is	be	AUX
cana-3297	154	18	weighted	weight	VERB
cana-3297	154	19	by	by	ADP
cana-3297	154	20	the	the	DET
cana-3297	154	21	degree	degree	NOUN
cana-3297	154	22	of	of	ADP
cana-3297	154	23	similarity	similarity	NOUN
cana-3297	154	24	.	.	PUNCT
cana-3297	155	1	this	this	DET
cana-3297	155	2	graph	graph	NOUN
cana-3297	155	3	encapsulates	encapsulate	VERB
cana-3297	155	4	the	the	DET
cana-3297	155	5	syntactic	syntactic	ADJ
cana-3297	155	6	and	and	CCONJ
cana-3297	155	7	semantic	semantic	ADJ
cana-3297	155	8	relationships	relationship	NOUN
cana-3297	155	9	between	between	ADP
cana-3297	155	10	the	the	DET
cana-3297	155	11	words	word	NOUN
cana-3297	155	12	.	.	PUNCT
cana-3297	156	1	this	this	DET
cana-3297	156	2	step	step	NOUN
cana-3297	156	3	is	be	AUX
cana-3297	156	4	critical	critical	ADJ
cana-3297	156	5	because	because	SCONJ
cana-3297	156	6	a	a	DET
cana-3297	156	7	simple	simple	ADJ
cana-3297	156	8	list	list	NOUN
cana-3297	156	9	of	of	ADP
cana-3297	156	10	words	word	NOUN
cana-3297	156	11	can	can	AUX
cana-3297	156	12	not	not	PART
cana-3297	156	13	capture	capture	VERB
cana-3297	156	14	their	their	PRON
cana-3297	156	15	pairwise	pairwise	NOUN
cana-3297	156	16	relationships	relationship	NOUN
cana-3297	156	17	.	.	PUNCT
cana-3297	157	1	by	by	ADP
cana-3297	157	2	building	build	VERB
cana-3297	157	3	a	a	DET
cana-3297	157	4	graph	graph	NOUN
cana-3297	157	5	,	,	PUNCT
cana-3297	157	6	we	we	PRON
cana-3297	157	7	create	create	VERB
cana-3297	157	8	a	a	DET
cana-3297	157	9	more	more	ADV
cana-3297	157	10	structured	structured	ADJ
cana-3297	157	11	representation	representation	NOUN
cana-3297	157	12	of	of	ADP
cana-3297	157	13	the	the	DET
cana-3297	157	14	data	datum	NOUN
cana-3297	157	15	,	,	PUNCT
cana-3297	157	16	which	which	PRON
cana-3297	157	17	is	be	AUX
cana-3297	157	18	essential	essential	ADJ
cana-3297	157	19	for	for	ADP
cana-3297	157	20	applying	apply	VERB
cana-3297	157	21	graph	graph	NOUN
cana-3297	157	22	-	-	PUNCT
cana-3297	157	23	based	base	VERB
cana-3297	157	24	algorithms	algorithm	NOUN
cana-3297	157	25	.	.	PUNCT
cana-3297	158	1	3.2.3	3.2.3	NUM
cana-3297	158	2	node	node	NOUN
cana-3297	158	3	embeddings	embedding	NOUN
cana-3297	158	4	with	with	ADP
cana-3297	158	5	node2vec	node2vec	ADP
cana-3297	158	6	the	the	DET
cana-3297	158	7	next	next	ADJ
cana-3297	158	8	step	step	NOUN
cana-3297	158	9	involves	involve	VERB
cana-3297	158	10	applying	apply	VERB
cana-3297	158	11	node2vec	node2vec	NOUN
cana-3297	158	12	,	,	PUNCT
cana-3297	158	13	a	a	DET
cana-3297	158	14	popular	popular	ADJ
cana-3297	158	15	graph	graph	NOUN
cana-3297	158	16	-	-	PUNCT
cana-3297	158	17	based	base	VERB
cana-3297	158	18	machine	machine	NOUN
cana-3297	158	19	learning	learn	VERB
cana-3297	158	20	algorithm	algorithm	NOUN
cana-3297	158	21	that	that	PRON
cana-3297	158	22	generates	generate	VERB
cana-3297	158	23	node	node	ADJ
cana-3297	158	24	embeddings	embedding	NOUN
cana-3297	158	25	.	.	PUNCT
cana-3297	159	1	node	node	ADJ
cana-3297	159	2	embeddings	embedding	NOUN
cana-3297	159	3	are	be	AUX
cana-3297	159	4	lowdimensional	lowdimensional	ADJ
cana-3297	159	5	vector	vector	NOUN
cana-3297	159	6	representations	representation	NOUN
cana-3297	159	7	of	of	ADP
cana-3297	159	8	the	the	DET
cana-3297	159	9	nodes	node	NOUN
cana-3297	159	10	in	in	ADP
cana-3297	159	11	the	the	DET
cana-3297	159	12	graph	graph	NOUN
cana-3297	159	13	,	,	PUNCT
cana-3297	159	14	which	which	PRON
cana-3297	159	15	capture	capture	VERB
cana-3297	159	16	the	the	DET
cana-3297	159	17	structural	structural	ADJ
cana-3297	159	18	and	and	CCONJ
cana-3297	159	19	semantic	semantic	ADJ
cana-3297	159	20	properties	property	NOUN
cana-3297	159	21	of	of	ADP
cana-3297	159	22	the	the	DET
cana-3297	159	23	graph	graph	NOUN
cana-3297	159	24	.	.	PUNCT
cana-3297	160	1	by	by	ADP
cana-3297	160	2	using	use	VERB
cana-3297	160	3	node2vec	node2vec	NOUN
cana-3297	160	4	,	,	PUNCT
cana-3297	160	5	communications	communication	NOUN
cana-3297	160	6	on	on	ADP
cana-3297	160	7	applied	apply	VERB
cana-3297	160	8	nonlinear	nonlinear	ADJ
cana-3297	160	9	analysis	analysis	NOUN
cana-3297	160	10	issn	issn	NOUN
cana-3297	160	11	:	:	PUNCT
cana-3297	160	12	1074	1074	NUM
cana-3297	160	13	-	-	PUNCT
cana-3297	160	14	133x	133x	NUM
cana-3297	160	15	vol	vol	NOUN
cana-3297	160	16	32	32	NUM
cana-3297	160	17	no	no	NOUN
cana-3297	160	18	.	.	PUNCT
cana-3297	161	1	6s	6s	NUM
cana-3297	161	2	(	(	PUNCT
cana-3297	161	3	2025	2025	NUM
cana-3297	161	4	)	)	PUNCT
cana-3297	161	5	308	308	NUM
cana-3297	161	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	162	1	we	we	PRON
cana-3297	162	2	can	can	AUX
cana-3297	162	3	transform	transform	VERB
cana-3297	162	4	the	the	DET
cana-3297	162	5	nodes	node	NOUN
cana-3297	162	6	(	(	PUNCT
cana-3297	162	7	lyndon	lyndon	PROPN
cana-3297	162	8	partial	partial	ADJ
cana-3297	162	9	words	word	NOUN
cana-3297	162	10	)	)	PUNCT
cana-3297	162	11	into	into	ADP
cana-3297	162	12	continuous	continuous	ADJ
cana-3297	162	13	-	-	PUNCT
cana-3297	162	14	valued	value	VERB
cana-3297	162	15	vectors	vector	NOUN
cana-3297	162	16	,	,	PUNCT
cana-3297	162	17	which	which	PRON
cana-3297	162	18	makes	make	VERB
cana-3297	162	19	it	it	PRON
cana-3297	162	20	easier	easy	ADJ
cana-3297	162	21	to	to	PART
cana-3297	162	22	apply	apply	VERB
cana-3297	162	23	machine	machine	NOUN
cana-3297	162	24	learning	learn	VERB
cana-3297	162	25	algorithms	algorithm	NOUN
cana-3297	162	26	to	to	ADP
cana-3297	162	27	the	the	DET
cana-3297	162	28	graph	graph	NOUN
cana-3297	162	29	data	datum	NOUN
cana-3297	162	30	(	(	PUNCT
cana-3297	162	31	see	see	VERB
cana-3297	162	32	figure	figure	NOUN
cana-3297	162	33	2	2	NUM
cana-3297	162	34	)	)	PUNCT
cana-3297	162	35	.	.	PUNCT
cana-3297	163	1	these	these	DET
cana-3297	163	2	embeddings	embedding	NOUN
cana-3297	163	3	are	be	AUX
cana-3297	163	4	a	a	DET
cana-3297	163	5	form	form	NOUN
cana-3297	163	6	of	of	ADP
cana-3297	163	7	unsupervised	unsupervised	ADJ
cana-3297	163	8	learning	learning	NOUN
cana-3297	163	9	,	,	PUNCT
cana-3297	163	10	where	where	SCONJ
cana-3297	163	11	the	the	DET
cana-3297	163	12	algorithm	algorithm	NOUN
cana-3297	163	13	learns	learn	VERB
cana-3297	163	14	the	the	DET
cana-3297	163	15	relationships	relationship	NOUN
cana-3297	163	16	between	between	ADP
cana-3297	163	17	nodes	node	NOUN
cana-3297	163	18	purely	purely	ADV
cana-3297	163	19	based	base	VERB
cana-3297	163	20	on	on	ADP
cana-3297	163	21	their	their	PRON
cana-3297	163	22	position	position	NOUN
cana-3297	163	23	and	and	CCONJ
cana-3297	163	24	connections	connection	NOUN
cana-3297	163	25	within	within	ADP
cana-3297	163	26	the	the	DET
cana-3297	163	27	graph	graph	NOUN
cana-3297	163	28	.	.	PUNCT
cana-3297	164	1	figure	figure	NOUN
cana-3297	164	2	2	2	NUM
cana-3297	164	3	:	:	PUNCT
cana-3297	164	4	node	node	NOUN
cana-3297	164	5	embeddings	embedding	NOUN
cana-3297	164	6	after	after	ADP
cana-3297	164	7	generating	generate	VERB
cana-3297	164	8	the	the	DET
cana-3297	164	9	embeddings	embedding	NOUN
cana-3297	164	10	,	,	PUNCT
cana-3297	164	11	we	we	PRON
cana-3297	164	12	need	need	VERB
cana-3297	164	13	to	to	PART
cana-3297	164	14	visualize	visualize	VERB
cana-3297	164	15	the	the	DET
cana-3297	164	16	data	datum	NOUN
cana-3297	164	17	to	to	PART
cana-3297	164	18	interpret	interpret	VERB
cana-3297	164	19	and	and	CCONJ
cana-3297	164	20	analyze	analyze	VERB
cana-3297	164	21	the	the	DET
cana-3297	164	22	results	result	NOUN
cana-3297	164	23	.	.	PUNCT
cana-3297	165	1	visualization	visualization	NOUN
cana-3297	165	2	techniques	technique	NOUN
cana-3297	165	3	like	like	ADP
cana-3297	165	4	pca	pca	NOUN
cana-3297	165	5	(	(	PUNCT
cana-3297	165	6	principal	principal	ADJ
cana-3297	165	7	component	component	NOUN
cana-3297	165	8	analysis	analysis	NOUN
cana-3297	165	9	)	)	PUNCT
cana-3297	165	10	and	and	CCONJ
cana-3297	165	11	k	k	X
cana-3297	165	12	-	-	PUNCT
cana-3297	165	13	means	means	NOUN
cana-3297	165	14	clustering	clustering	NOUN
cana-3297	165	15	are	be	AUX
cana-3297	165	16	used	use	VERB
cana-3297	165	17	to	to	PART
cana-3297	165	18	reduce	reduce	VERB
cana-3297	165	19	the	the	DET
cana-3297	165	20	high	high	ADJ
cana-3297	165	21	-	-	PUNCT
cana-3297	165	22	dimensional	dimensional	ADJ
cana-3297	165	23	embeddings	embedding	NOUN
cana-3297	165	24	to	to	ADP
cana-3297	165	25	a	a	DET
cana-3297	165	26	lower	low	ADJ
cana-3297	165	27	dimension	dimension	NOUN
cana-3297	165	28	(	(	PUNCT
cana-3297	165	29	usually	usually	ADV
cana-3297	165	30	2d	2d	NUM
cana-3297	165	31	or	or	CCONJ
cana-3297	165	32	3d	3d	NUM
cana-3297	165	33	)	)	PUNCT
cana-3297	165	34	,	,	PUNCT
cana-3297	165	35	which	which	PRON
cana-3297	165	36	makes	make	VERB
cana-3297	165	37	it	it	PRON
cana-3297	165	38	easier	easy	ADJ
cana-3297	165	39	to	to	PART
cana-3297	165	40	understand	understand	VERB
cana-3297	165	41	the	the	DET
cana-3297	165	42	relationships	relationship	NOUN
cana-3297	165	43	between	between	ADP
cana-3297	165	44	the	the	DET
cana-3297	165	45	lyndon	lyndon	PROPN
cana-3297	165	46	partial	partial	ADJ
cana-3297	165	47	words	word	NOUN
cana-3297	165	48	(	(	PUNCT
cana-3297	165	49	ref	ref	NOUN
cana-3297	165	50	.	.	PUNCT
cana-3297	166	1	algorithm	algorithm	PROPN
cana-3297	166	2	2	2	NUM
cana-3297	166	3	)	)	PUNCT
cana-3297	166	4	.	.	PUNCT
cana-3297	167	1	•	•	NUM
cana-3297	167	2	pca	pca	PROPN
cana-3297	167	3	is	be	AUX
cana-3297	167	4	used	use	VERB
cana-3297	167	5	to	to	PART
cana-3297	167	6	reduce	reduce	VERB
cana-3297	167	7	the	the	DET
cana-3297	167	8	dimensions	dimension	NOUN
cana-3297	167	9	of	of	ADP
cana-3297	167	10	the	the	DET
cana-3297	167	11	embeddings	embedding	NOUN
cana-3297	167	12	so	so	SCONJ
cana-3297	167	13	that	that	SCONJ
cana-3297	167	14	the	the	DET
cana-3297	167	15	main	main	ADJ
cana-3297	167	16	variance	variance	NOUN
cana-3297	167	17	in	in	ADP
cana-3297	167	18	the	the	DET
cana-3297	167	19	data	datum	NOUN
cana-3297	167	20	can	can	AUX
cana-3297	167	21	be	be	AUX
cana-3297	167	22	captured	capture	VERB
cana-3297	167	23	in	in	ADP
cana-3297	167	24	a	a	DET
cana-3297	167	25	few	few	ADJ
cana-3297	167	26	principal	principal	ADJ
cana-3297	167	27	components	component	NOUN
cana-3297	167	28	.	.	PUNCT
cana-3297	168	1	this	this	PRON
cana-3297	168	2	helps	help	VERB
cana-3297	168	3	in	in	ADP
cana-3297	168	4	understanding	understand	VERB
cana-3297	168	5	the	the	DET
cana-3297	168	6	overall	overall	ADJ
cana-3297	168	7	structure	structure	NOUN
cana-3297	168	8	of	of	ADP
cana-3297	168	9	the	the	DET
cana-3297	168	10	embeddings	embedding	NOUN
cana-3297	168	11	.	.	PUNCT
cana-3297	169	1	•	•	NUM
cana-3297	169	2	k	k	X
cana-3297	169	3	-	-	PUNCT
cana-3297	169	4	means	means	NOUN
cana-3297	169	5	clustering	clustering	NOUN
cana-3297	169	6	is	be	AUX
cana-3297	169	7	applied	apply	VERB
cana-3297	169	8	to	to	PART
cana-3297	169	9	identify	identify	VERB
cana-3297	169	10	groups	group	NOUN
cana-3297	169	11	of	of	ADP
cana-3297	169	12	words	word	NOUN
cana-3297	169	13	that	that	PRON
cana-3297	169	14	are	be	AUX
cana-3297	169	15	similar	similar	ADJ
cana-3297	169	16	to	to	ADP
cana-3297	169	17	each	each	DET
cana-3297	169	18	other	other	ADJ
cana-3297	169	19	based	base	VERB
cana-3297	169	20	on	on	ADP
cana-3297	169	21	their	their	PRON
cana-3297	169	22	embeddings	embedding	NOUN
cana-3297	169	23	.	.	PUNCT
cana-3297	170	1	this	this	DET
cana-3297	170	2	clustering	clustering	NOUN
cana-3297	170	3	shows	show	VERB
cana-3297	170	4	how	how	SCONJ
cana-3297	170	5	the	the	DET
cana-3297	170	6	words	word	NOUN
cana-3297	170	7	naturally	naturally	ADV
cana-3297	170	8	group	group	NOUN
cana-3297	170	9	based	base	VERB
cana-3297	170	10	on	on	ADP
cana-3297	170	11	their	their	PRON
cana-3297	170	12	structural	structural	ADJ
cana-3297	170	13	or	or	CCONJ
cana-3297	170	14	semantic	semantic	ADJ
cana-3297	170	15	similarities	similarity	NOUN
cana-3297	170	16	.	.	PUNCT
cana-3297	171	1	•	•	NUM
cana-3297	171	2	a	a	DET
cana-3297	171	3	heatmap	heatmap	NOUN
cana-3297	171	4	of	of	ADP
cana-3297	171	5	pairwise	pairwise	NOUN
cana-3297	171	6	distances	distance	NOUN
cana-3297	171	7	between	between	ADP
cana-3297	171	8	the	the	DET
cana-3297	171	9	embeddings(see	embeddings(see	NOUN
cana-3297	171	10	figure	figure	NOUN
cana-3297	171	11	3	3	NUM
cana-3297	171	12	)	)	PUNCT
cana-3297	171	13	helps	help	VERB
cana-3297	171	14	visualize	visualize	VERB
cana-3297	171	15	the	the	DET
cana-3297	171	16	relative	relative	ADJ
cana-3297	171	17	closeness	closeness	NOUN
cana-3297	171	18	or	or	CCONJ
cana-3297	171	19	similarity	similarity	NOUN
cana-3297	171	20	between	between	ADP
cana-3297	171	21	each	each	DET
cana-3297	171	22	word	word	NOUN
cana-3297	171	23	pair	pair	NOUN
cana-3297	171	24	,	,	PUNCT
cana-3297	171	25	providing	provide	VERB
cana-3297	171	26	an	an	DET
cana-3297	171	27	intuitive	intuitive	ADJ
cana-3297	171	28	representation	representation	NOUN
cana-3297	171	29	of	of	ADP
cana-3297	171	30	the	the	DET
cana-3297	171	31	graph	graph	NOUN
cana-3297	171	32	structure	structure	NOUN
cana-3297	171	33	.	.	PUNCT
cana-3297	172	1	communications	communication	NOUN
cana-3297	172	2	on	on	ADP
cana-3297	172	3	applied	apply	VERB
cana-3297	172	4	nonlinear	nonlinear	ADJ
cana-3297	172	5	analysis	analysis	NOUN
cana-3297	172	6	issn	issn	NOUN
cana-3297	172	7	:	:	PUNCT
cana-3297	172	8	1074	1074	NUM
cana-3297	172	9	-	-	PUNCT
cana-3297	172	10	133x	133x	NUM
cana-3297	172	11	vol	vol	NOUN
cana-3297	172	12	32	32	NUM
cana-3297	172	13	no	no	NOUN
cana-3297	172	14	.	.	PUNCT
cana-3297	173	1	6s	6s	NUM
cana-3297	173	2	(	(	PUNCT
cana-3297	173	3	2025	2025	NUM
cana-3297	173	4	)	)	PUNCT
cana-3297	173	5	309	309	NUM
cana-3297	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	173	7	finally	finally	ADV
cana-3297	173	8	,	,	PUNCT
cana-3297	173	9	3d	3d	NUM
cana-3297	173	10	visualization	visualization	NOUN
cana-3297	173	11	offers	offer	VERB
cana-3297	173	12	a	a	DET
cana-3297	173	13	more	more	ADV
cana-3297	173	14	comprehensive	comprehensive	ADJ
cana-3297	173	15	view	view	NOUN
cana-3297	173	16	of	of	ADP
cana-3297	173	17	how	how	SCONJ
cana-3297	173	18	the	the	DET
cana-3297	173	19	embeddings	embedding	NOUN
cana-3297	173	20	are	be	AUX
cana-3297	173	21	spread	spread	VERB
cana-3297	173	22	across	across	ADP
cana-3297	173	23	three	three	NUM
cana-3297	173	24	dimensions	dimension	NOUN
cana-3297	173	25	(	(	PUNCT
cana-3297	173	26	see	see	VERB
cana-3297	173	27	figure	figure	NOUN
cana-3297	173	28	4	4	NUM
cana-3297	173	29	)	)	PUNCT
cana-3297	173	30	,	,	PUNCT
cana-3297	173	31	providing	provide	VERB
cana-3297	173	32	insights	insight	NOUN
cana-3297	173	33	into	into	ADP
cana-3297	173	34	the	the	DET
cana-3297	173	35	relationships	relationship	NOUN
cana-3297	173	36	in	in	ADP
cana-3297	173	37	a	a	DET
cana-3297	173	38	more	more	ADV
cana-3297	173	39	tangible	tangible	ADJ
cana-3297	173	40	form	form	NOUN
cana-3297	173	41	.	.	PUNCT
cana-3297	174	1	this	this	PRON
cana-3297	174	2	can	can	AUX
cana-3297	174	3	reveal	reveal	VERB
cana-3297	174	4	clusters	cluster	NOUN
cana-3297	174	5	or	or	CCONJ
cana-3297	174	6	patterns	pattern	NOUN
cana-3297	174	7	that	that	PRON
cana-3297	174	8	may	may	AUX
cana-3297	174	9	not	not	PART
cana-3297	174	10	be	be	AUX
cana-3297	174	11	visible	visible	ADJ
cana-3297	174	12	in	in	ADP
cana-3297	174	13	lower	low	ADJ
cana-3297	174	14	dimensions	dimension	NOUN
cana-3297	174	15	.	.	PUNCT
cana-3297	175	1	communications	communication	NOUN
cana-3297	175	2	on	on	ADP
cana-3297	175	3	applied	apply	VERB
cana-3297	175	4	nonlinear	nonlinear	ADJ
cana-3297	175	5	analysis	analysis	NOUN
cana-3297	175	6	issn	issn	NOUN
cana-3297	175	7	:	:	PUNCT
cana-3297	175	8	1074	1074	NUM
cana-3297	175	9	-	-	PUNCT
cana-3297	175	10	133x	133x	NUM
cana-3297	175	11	vol	vol	NOUN
cana-3297	175	12	32	32	NUM
cana-3297	175	13	no	no	NOUN
cana-3297	175	14	.	.	PUNCT
cana-3297	176	1	6s	6s	NUM
cana-3297	176	2	(	(	PUNCT
cana-3297	176	3	2025	2025	NUM
cana-3297	176	4	)	)	PUNCT
cana-3297	176	5	310	310	NUM
cana-3297	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	176	7	figure	figure	NOUN
cana-3297	176	8	3	3	NUM
cana-3297	176	9	:	:	PUNCT
cana-3297	176	10	pairwise	pairwise	NOUN
cana-3297	176	11	distance	distance	NOUN
cana-3297	176	12	heatmap	heatmap	NOUN
cana-3297	176	13	3.3	3.3	NUM
cana-3297	176	14	benefits	benefit	NOUN
cana-3297	176	15	of	of	ADP
cana-3297	176	16	integrating	integrate	VERB
cana-3297	176	17	lyndon	lyndon	NOUN
cana-3297	176	18	partial	partial	ADJ
cana-3297	176	19	words	word	NOUN
cana-3297	176	20	with	with	ADP
cana-3297	176	21	gbml	gbml	ADJ
cana-3297	176	22	•	•	NUM
cana-3297	176	23	by	by	ADP
cana-3297	176	24	representing	represent	VERB
cana-3297	176	25	lyndon	lyndon	NOUN
cana-3297	176	26	partial	partial	ADJ
cana-3297	176	27	words	word	NOUN
cana-3297	176	28	as	as	ADP
cana-3297	176	29	nodes	node	NOUN
cana-3297	176	30	in	in	ADP
cana-3297	176	31	a	a	DET
cana-3297	176	32	graph	graph	NOUN
cana-3297	176	33	,	,	PUNCT
cana-3297	176	34	and	and	CCONJ
cana-3297	176	35	calculating	calculate	VERB
cana-3297	176	36	their	their	PRON
cana-3297	176	37	pairwise	pairwise	NOUN
cana-3297	176	38	similarities	similarity	NOUN
cana-3297	176	39	,	,	PUNCT
cana-3297	176	40	we	we	PRON
cana-3297	176	41	gain	gain	VERB
cana-3297	176	42	deeper	deep	ADJ
cana-3297	176	43	insights	insight	NOUN
cana-3297	176	44	into	into	ADP
cana-3297	176	45	the	the	DET
cana-3297	176	46	relationships	relationship	NOUN
cana-3297	176	47	between	between	ADP
cana-3297	176	48	the	the	DET
cana-3297	176	49	words	word	NOUN
cana-3297	176	50	.	.	PUNCT
cana-3297	177	1	this	this	PRON
cana-3297	177	2	is	be	AUX
cana-3297	177	3	especially	especially	ADV
cana-3297	177	4	useful	useful	ADJ
cana-3297	177	5	when	when	SCONJ
cana-3297	177	6	analyzing	analyze	VERB
cana-3297	177	7	linguistic	linguistic	ADJ
cana-3297	177	8	features	feature	NOUN
cana-3297	177	9	that	that	PRON
cana-3297	177	10	are	be	AUX
cana-3297	177	11	not	not	PART
cana-3297	177	12	immediately	immediately	ADV
cana-3297	177	13	apparent	apparent	ADJ
cana-3297	177	14	from	from	ADP
cana-3297	177	15	the	the	DET
cana-3297	177	16	words	word	NOUN
cana-3297	177	17	themselves	themselves	PRON
cana-3297	177	18	.	.	PUNCT
cana-3297	178	1	•	•	NUM
cana-3297	178	2	machine	machine	NOUN
cana-3297	178	3	learning	learning	NOUN
cana-3297	178	4	models	model	NOUN
cana-3297	178	5	like	like	ADP
cana-3297	178	6	node2vec	node2vec	PRON
cana-3297	178	7	can	can	AUX
cana-3297	178	8	automatically	automatically	ADV
cana-3297	178	9	detect	detect	VERB
cana-3297	178	10	patterns	pattern	NOUN
cana-3297	178	11	in	in	ADP
cana-3297	178	12	the	the	DET
cana-3297	178	13	graph	graph	NOUN
cana-3297	178	14	structure	structure	NOUN
cana-3297	178	15	.	.	PUNCT
cana-3297	179	1	these	these	DET
cana-3297	179	2	patterns	pattern	NOUN
cana-3297	179	3	represent	represent	VERB
cana-3297	179	4	underlying	underlying	ADJ
cana-3297	179	5	regularities	regularity	NOUN
cana-3297	179	6	in	in	ADP
cana-3297	179	7	the	the	DET
cana-3297	179	8	way	way	NOUN
cana-3297	179	9	the	the	DET
cana-3297	179	10	words	word	NOUN
cana-3297	179	11	are	be	AUX
cana-3297	179	12	related	relate	VERB
cana-3297	179	13	to	to	ADP
cana-3297	179	14	each	each	DET
cana-3297	179	15	other	other	ADJ
cana-3297	179	16	.	.	PUNCT
cana-3297	180	1	for	for	ADP
cana-3297	180	2	example	example	NOUN
cana-3297	180	3	,	,	PUNCT
cana-3297	180	4	words	word	NOUN
cana-3297	180	5	that	that	PRON
cana-3297	180	6	have	have	VERB
cana-3297	180	7	similar	similar	ADJ
cana-3297	180	8	prefixes	prefix	NOUN
cana-3297	180	9	or	or	CCONJ
cana-3297	180	10	suffixes	suffix	NOUN
cana-3297	180	11	may	may	AUX
cana-3297	180	12	be	be	AUX
cana-3297	180	13	grouped	group	VERB
cana-3297	180	14	together	together	ADV
cana-3297	180	15	,	,	PUNCT
cana-3297	180	16	and	and	CCONJ
cana-3297	180	17	this	this	PRON
cana-3297	180	18	can	can	AUX
cana-3297	180	19	inform	inform	VERB
cana-3297	180	20	our	our	PRON
cana-3297	180	21	understanding	understanding	NOUN
cana-3297	180	22	of	of	ADP
cana-3297	180	23	language	language	NOUN
cana-3297	180	24	structures	structure	NOUN
cana-3297	180	25	.	.	PUNCT
cana-3297	181	1	•	•	NUM
cana-3297	181	2	with	with	ADP
cana-3297	181	3	graph	graph	NOUN
cana-3297	181	4	-	-	PUNCT
cana-3297	181	5	based	base	VERB
cana-3297	181	6	embeddings	embedding	NOUN
cana-3297	181	7	,	,	PUNCT
cana-3297	181	8	we	we	PRON
cana-3297	181	9	can	can	AUX
cana-3297	181	10	use	use	VERB
cana-3297	181	11	machine	machine	NOUN
cana-3297	181	12	learning	learning	NOUN
cana-3297	181	13	techniques	technique	NOUN
cana-3297	181	14	(	(	PUNCT
cana-3297	181	15	like	like	ADP
cana-3297	181	16	clustering	clustering	NOUN
cana-3297	181	17	or	or	CCONJ
cana-3297	181	18	classification	classification	NOUN
cana-3297	181	19	)	)	PUNCT
cana-3297	181	20	to	to	ADP
cana-3297	181	21	group	group	NOUN
cana-3297	181	22	words	word	NOUN
cana-3297	181	23	based	base	VERB
cana-3297	181	24	on	on	ADP
cana-3297	181	25	their	their	PRON
cana-3297	181	26	properties	property	NOUN
cana-3297	181	27	or	or	CCONJ
cana-3297	181	28	predict	predict	VERB
cana-3297	181	29	certain	certain	ADJ
cana-3297	181	30	characteristics	characteristic	NOUN
cana-3297	181	31	of	of	ADP
cana-3297	181	32	words	word	NOUN
cana-3297	181	33	based	base	VERB
cana-3297	181	34	on	on	ADP
cana-3297	181	35	their	their	PRON
cana-3297	181	36	structure	structure	NOUN
cana-3297	181	37	.	.	PUNCT
cana-3297	182	1	this	this	PRON
cana-3297	182	2	can	can	AUX
cana-3297	182	3	be	be	AUX
cana-3297	182	4	extended	extend	VERB
cana-3297	182	5	to	to	ADP
cana-3297	182	6	more	more	ADV
cana-3297	182	7	complex	complex	ADJ
cana-3297	182	8	tasks	task	NOUN
cana-3297	182	9	,	,	PUNCT
cana-3297	182	10	such	such	ADJ
cana-3297	182	11	as	as	ADP
cana-3297	182	12	linguistic	linguistic	ADJ
cana-3297	182	13	analysis	analysis	NOUN
cana-3297	182	14	or	or	CCONJ
cana-3297	182	15	language	language	NOUN
cana-3297	182	16	modelling	modelling	NOUN
cana-3297	182	17	.	.	PUNCT
cana-3297	183	1	figure	figure	NOUN
cana-3297	183	2	4	4	NUM
cana-3297	183	3	:	:	PUNCT
cana-3297	183	4	3d	3d	NUM
cana-3297	183	5	visualization	visualization	NOUN
cana-3297	183	6	of	of	ADP
cana-3297	183	7	node	node	ADJ
cana-3297	183	8	embeddings	embedding	NOUN
cana-3297	183	9	•	•	ADP
cana-3297	183	10	visualizing	visualize	VERB
cana-3297	183	11	the	the	DET
cana-3297	183	12	embeddings	embedding	NOUN
cana-3297	183	13	through	through	ADP
cana-3297	183	14	dimensionality	dimensionality	NOUN
cana-3297	183	15	reduction	reduction	NOUN
cana-3297	183	16	techniques	technique	NOUN
cana-3297	183	17	like	like	ADP
cana-3297	183	18	pca	pca	NOUN
cana-3297	183	19	or	or	CCONJ
cana-3297	183	20	tsne	tsne	NOUN
cana-3297	183	21	makes	make	VERB
cana-3297	183	22	the	the	DET
cana-3297	183	23	high	high	ADV
cana-3297	183	24	-	-	PUNCT
cana-3297	183	25	dimensional	dimensional	ADJ
cana-3297	183	26	data	datum	NOUN
cana-3297	183	27	more	more	ADV
cana-3297	183	28	interpretable	interpretable	ADJ
cana-3297	183	29	.	.	PUNCT
cana-3297	184	1	this	this	PRON
cana-3297	184	2	is	be	AUX
cana-3297	184	3	crucial	crucial	ADJ
cana-3297	184	4	for	for	ADP
cana-3297	184	5	making	make	VERB
cana-3297	184	6	sense	sense	NOUN
cana-3297	184	7	of	of	ADP
cana-3297	184	8	complex	complex	ADJ
cana-3297	184	9	relationships	relationship	NOUN
cana-3297	184	10	in	in	ADP
cana-3297	184	11	a	a	DET
cana-3297	184	12	graph	graph	NOUN
cana-3297	184	13	-	-	PUNCT
cana-3297	184	14	based	base	VERB
cana-3297	184	15	context	context	NOUN
cana-3297	184	16	.	.	PUNCT
cana-3297	185	1	communications	communication	NOUN
cana-3297	185	2	on	on	ADP
cana-3297	185	3	applied	apply	VERB
cana-3297	185	4	nonlinear	nonlinear	ADJ
cana-3297	185	5	analysis	analysis	NOUN
cana-3297	185	6	issn	issn	NOUN
cana-3297	185	7	:	:	PUNCT
cana-3297	185	8	1074	1074	NUM
cana-3297	185	9	-	-	PUNCT
cana-3297	185	10	133x	133x	NUM
cana-3297	185	11	vol	vol	NOUN
cana-3297	185	12	32	32	NUM
cana-3297	185	13	no	no	NOUN
cana-3297	185	14	.	.	PUNCT
cana-3297	186	1	6s	6s	NUM
cana-3297	186	2	(	(	PUNCT
cana-3297	186	3	2025	2025	NUM
cana-3297	186	4	)	)	PUNCT
cana-3297	186	5	311	311	NUM
cana-3297	186	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	186	7	the	the	DET
cana-3297	186	8	integration	integration	NOUN
cana-3297	186	9	of	of	ADP
cana-3297	186	10	lyndon	lyndon	PROPN
cana-3297	186	11	partial	partial	ADJ
cana-3297	186	12	words	word	NOUN
cana-3297	186	13	with	with	ADP
cana-3297	186	14	graph	graph	NOUN
cana-3297	186	15	-	-	PUNCT
cana-3297	186	16	based	base	VERB
cana-3297	186	17	machine	machine	NOUN
cana-3297	186	18	learning	learning	NOUN
cana-3297	186	19	(	(	PUNCT
cana-3297	186	20	gbml	gbml	ADJ
cana-3297	186	21	)	)	PUNCT
cana-3297	186	22	allows	allow	VERB
cana-3297	186	23	for	for	ADP
cana-3297	186	24	a	a	DET
cana-3297	186	25	rich	rich	ADJ
cana-3297	186	26	,	,	PUNCT
cana-3297	186	27	structured	structured	ADJ
cana-3297	186	28	analysis	analysis	NOUN
cana-3297	186	29	of	of	ADP
cana-3297	186	30	linguistic	linguistic	ADJ
cana-3297	186	31	data	datum	NOUN
cana-3297	186	32	.	.	PUNCT
cana-3297	187	1	by	by	ADP
cana-3297	187	2	representing	represent	VERB
cana-3297	187	3	words	word	NOUN
cana-3297	187	4	as	as	ADP
cana-3297	187	5	nodes	node	NOUN
cana-3297	187	6	and	and	CCONJ
cana-3297	187	7	their	their	PRON
cana-3297	187	8	relationships	relationship	NOUN
cana-3297	187	9	as	as	ADP
cana-3297	187	10	edges	edge	NOUN
cana-3297	187	11	,	,	PUNCT
cana-3297	187	12	we	we	PRON
cana-3297	187	13	can	can	AUX
cana-3297	187	14	use	use	VERB
cana-3297	187	15	powerful	powerful	ADJ
cana-3297	187	16	graph	graph	NOUN
cana-3297	187	17	-	-	PUNCT
cana-3297	187	18	based	base	VERB
cana-3297	187	19	algorithms	algorithm	NOUN
cana-3297	187	20	to	to	PART
cana-3297	187	21	uncover	uncover	VERB
cana-3297	187	22	hidden	hide	VERB
cana-3297	187	23	patterns	pattern	NOUN
cana-3297	187	24	,	,	PUNCT
cana-3297	187	25	groupings	grouping	NOUN
cana-3297	187	26	,	,	PUNCT
cana-3297	187	27	and	and	CCONJ
cana-3297	187	28	structures	structure	NOUN
cana-3297	187	29	in	in	ADP
cana-3297	187	30	the	the	DET
cana-3297	187	31	data	datum	NOUN
cana-3297	187	32	.	.	PUNCT
cana-3297	188	1	the	the	DET
cana-3297	188	2	application	application	NOUN
cana-3297	188	3	of	of	ADP
cana-3297	188	4	node	node	ADJ
cana-3297	188	5	embeddings	embedding	NOUN
cana-3297	188	6	like	like	SCONJ
cana-3297	188	7	node2vec	node2vec	NOUN
cana-3297	188	8	further	far	ADV
cana-3297	188	9	enhances	enhance	NOUN
cana-3297	188	10	this	this	DET
cana-3297	188	11	analysis	analysis	NOUN
cana-3297	188	12	,	,	PUNCT
cana-3297	188	13	allowing	allow	VERB
cana-3297	188	14	for	for	ADP
cana-3297	188	15	a	a	DET
cana-3297	188	16	low	low	ADJ
cana-3297	188	17	-	-	PUNCT
cana-3297	188	18	dimensional	dimensional	ADJ
cana-3297	188	19	representation	representation	NOUN
cana-3297	188	20	of	of	ADP
cana-3297	188	21	the	the	DET
cana-3297	188	22	words	word	NOUN
cana-3297	188	23	that	that	PRON
cana-3297	188	24	retains	retain	VERB
cana-3297	188	25	important	important	ADJ
cana-3297	188	26	semantic	semantic	ADJ
cana-3297	188	27	and	and	CCONJ
cana-3297	188	28	syntactic	syntactic	ADJ
cana-3297	188	29	information	information	NOUN
cana-3297	188	30	.	.	PUNCT
cana-3297	189	1	through	through	ADP
cana-3297	189	2	visualization	visualization	NOUN
cana-3297	189	3	,	,	PUNCT
cana-3297	189	4	we	we	PRON
cana-3297	189	5	can	can	AUX
cana-3297	189	6	gain	gain	VERB
cana-3297	189	7	insights	insight	NOUN
cana-3297	189	8	into	into	ADP
cana-3297	189	9	the	the	DET
cana-3297	189	10	relationships	relationship	NOUN
cana-3297	189	11	between	between	ADP
cana-3297	189	12	these	these	DET
cana-3297	189	13	partial	partial	ADJ
cana-3297	189	14	words	word	NOUN
cana-3297	189	15	,	,	PUNCT
cana-3297	189	16	making	make	VERB
cana-3297	189	17	the	the	DET
cana-3297	189	18	integration	integration	NOUN
cana-3297	189	19	of	of	ADP
cana-3297	189	20	gbml	gbml	ADJ
cana-3297	189	21	an	an	DET
cana-3297	189	22	effective	effective	ADJ
cana-3297	189	23	approach	approach	NOUN
cana-3297	189	24	for	for	ADP
cana-3297	189	25	linguistic	linguistic	ADJ
cana-3297	189	26	analysis	analysis	NOUN
cana-3297	189	27	.	.	PUNCT
cana-3297	190	1	3.4	3.4	NUM
cana-3297	190	2	future	future	ADJ
cana-3297	190	3	research	research	NOUN
cana-3297	190	4	directions	direction	NOUN
cana-3297	190	5	the	the	DET
cana-3297	190	6	application	application	NOUN
cana-3297	190	7	of	of	ADP
cana-3297	190	8	lyndon	lyndon	PROPN
cana-3297	190	9	partial	partial	ADJ
cana-3297	190	10	words	word	NOUN
cana-3297	190	11	within	within	ADP
cana-3297	190	12	gbml	gbml	NOUN
cana-3297	190	13	is	be	AUX
cana-3297	190	14	a	a	DET
cana-3297	190	15	promising	promising	ADJ
cana-3297	190	16	area	area	NOUN
cana-3297	190	17	for	for	ADP
cana-3297	190	18	further	further	ADJ
cana-3297	190	19	exploration	exploration	NOUN
cana-3297	190	20	.	.	PUNCT
cana-3297	191	1	key	key	ADJ
cana-3297	191	2	directions	direction	NOUN
cana-3297	191	3	include	include	VERB
cana-3297	191	4	:	:	PUNCT
cana-3297	191	5	•	•	NUM
cana-3297	191	6	dynamic	dynamic	ADJ
cana-3297	191	7	graph	graph	NOUN
cana-3297	191	8	models	model	NOUN
cana-3297	191	9	:	:	PUNCT
cana-3297	191	10	extensions	extension	NOUN
cana-3297	191	11	to	to	ADP
cana-3297	191	12	dynamic	dynamic	ADJ
cana-3297	191	13	or	or	CCONJ
cana-3297	191	14	time	time	NOUN
cana-3297	191	15	-	-	PUNCT
cana-3297	191	16	evolving	evolve	VERB
cana-3297	191	17	graphs	graph	NOUN
cana-3297	191	18	to	to	PART
cana-3297	191	19	study	study	VERB
cana-3297	191	20	changes	change	NOUN
cana-3297	191	21	in	in	ADP
cana-3297	191	22	sequence	sequence	NOUN
cana-3297	191	23	data	datum	NOUN
cana-3297	191	24	over	over	ADP
cana-3297	191	25	time	time	NOUN
cana-3297	191	26	.	.	PUNCT
cana-3297	192	1	•	•	NUM
cana-3297	192	2	algorithm	algorithm	NOUN
cana-3297	192	3	optimization	optimization	NOUN
cana-3297	192	4	:	:	PUNCT
cana-3297	192	5	developing	develop	VERB
cana-3297	192	6	efficient	efficient	ADJ
cana-3297	192	7	algorithms	algorithm	NOUN
cana-3297	192	8	for	for	ADP
cana-3297	192	9	largescale	largescale	NOUN
cana-3297	192	10	graphs	graph	NOUN
cana-3297	192	11	of	of	ADP
cana-3297	192	12	lyndon	lyndon	PROPN
cana-3297	192	13	partial	partial	ADJ
cana-3297	192	14	words	word	NOUN
cana-3297	192	15	,	,	PUNCT
cana-3297	192	16	leveraging	leverage	VERB
cana-3297	192	17	distributed	distributed	ADJ
cana-3297	192	18	computing	computing	NOUN
cana-3297	192	19	.	.	PUNCT
cana-3297	193	1	•	•	NUM
cana-3297	193	2	interdisciplinary	interdisciplinary	ADJ
cana-3297	193	3	applications	application	NOUN
cana-3297	193	4	:	:	PUNCT
cana-3297	193	5	exploring	explore	VERB
cana-3297	193	6	use	use	NOUN
cana-3297	193	7	cases	case	NOUN
cana-3297	193	8	in	in	ADP
cana-3297	193	9	domains	domain	NOUN
cana-3297	193	10	like	like	ADP
cana-3297	193	11	cryptography	cryptography	NOUN
cana-3297	193	12	,	,	PUNCT
cana-3297	193	13	error	error	NOUN
cana-3297	193	14	correction	correction	NOUN
cana-3297	193	15	codes	code	NOUN
cana-3297	193	16	,	,	PUNCT
cana-3297	193	17	and	and	CCONJ
cana-3297	193	18	network	network	NOUN
cana-3297	193	19	security	security	NOUN
cana-3297	193	20	.	.	PUNCT
cana-3297	194	1	by	by	ADP
cana-3297	194	2	leveraging	leverage	VERB
cana-3297	194	3	the	the	DET
cana-3297	194	4	combinatorial	combinatorial	ADJ
cana-3297	194	5	richness	richness	NOUN
cana-3297	194	6	of	of	ADP
cana-3297	194	7	lyndon	lyndon	PROPN
cana-3297	194	8	partial	partial	ADJ
cana-3297	194	9	words	word	NOUN
cana-3297	194	10	,	,	PUNCT
cana-3297	194	11	gbml	gbml	ADJ
cana-3297	194	12	systems	system	NOUN
cana-3297	194	13	can	can	AUX
cana-3297	194	14	achieve	achieve	VERB
cana-3297	194	15	higher	high	ADJ
cana-3297	194	16	efficiency	efficiency	NOUN
cana-3297	194	17	and	and	CCONJ
cana-3297	194	18	robustness	robustness	NOUN
cana-3297	194	19	,	,	PUNCT
cana-3297	194	20	particularly	particularly	ADV
cana-3297	194	21	in	in	ADP
cana-3297	194	22	domains	domain	NOUN
cana-3297	194	23	involving	involve	VERB
cana-3297	194	24	incomplete	incomplete	ADJ
cana-3297	194	25	or	or	CCONJ
cana-3297	194	26	noisy	noisy	ADJ
cana-3297	194	27	data	datum	NOUN
cana-3297	194	28	.	.	PUNCT
cana-3297	195	1	4	4	X
cana-3297	195	2	.	.	X
cana-3297	195	3	conclusion	conclusion	NOUN
cana-3297	195	4	in	in	ADP
cana-3297	195	5	this	this	DET
cana-3297	195	6	study	study	NOUN
cana-3297	195	7	,	,	PUNCT
cana-3297	195	8	we	we	PRON
cana-3297	195	9	have	have	AUX
cana-3297	195	10	explored	explore	VERB
cana-3297	195	11	the	the	DET
cana-3297	195	12	integration	integration	NOUN
cana-3297	195	13	of	of	ADP
cana-3297	195	14	lyndon	lyndon	PROPN
cana-3297	195	15	partial	partial	ADJ
cana-3297	195	16	words	word	NOUN
cana-3297	195	17	with	with	ADP
cana-3297	195	18	graph	graph	NOUN
cana-3297	195	19	-	-	PUNCT
cana-3297	195	20	based	base	VERB
cana-3297	195	21	machine	machine	NOUN
cana-3297	195	22	learning	learn	VERB
cana-3297	195	23	techniques	technique	NOUN
cana-3297	195	24	to	to	PART
cana-3297	195	25	investigate	investigate	VERB
cana-3297	195	26	the	the	DET
cana-3297	195	27	structural	structural	ADJ
cana-3297	195	28	and	and	CCONJ
cana-3297	195	29	semantic	semantic	ADJ
cana-3297	195	30	relationships	relationship	NOUN
cana-3297	195	31	among	among	ADP
cana-3297	195	32	linguistic	linguistic	ADJ
cana-3297	195	33	units	unit	NOUN
cana-3297	195	34	.	.	PUNCT
cana-3297	196	1	the	the	DET
cana-3297	196	2	integration	integration	NOUN
cana-3297	196	3	of	of	ADP
cana-3297	196	4	these	these	DET
cana-3297	196	5	two	two	NUM
cana-3297	196	6	fields	field	NOUN
cana-3297	196	7	brings	bring	VERB
cana-3297	196	8	out	out	ADP
cana-3297	196	9	a	a	DET
cana-3297	196	10	novel	novel	ADJ
cana-3297	196	11	approach	approach	NOUN
cana-3297	196	12	to	to	ADP
cana-3297	196	13	understanding	understand	VERB
cana-3297	196	14	complex	complex	ADJ
cana-3297	196	15	linguistic	linguistic	ADJ
cana-3297	196	16	data	datum	NOUN
cana-3297	196	17	,	,	PUNCT
cana-3297	196	18	moving	move	VERB
cana-3297	196	19	beyond	beyond	ADP
cana-3297	196	20	traditional	traditional	ADJ
cana-3297	196	21	analysis	analysis	NOUN
cana-3297	196	22	methods	method	NOUN
cana-3297	196	23	.	.	PUNCT
cana-3297	197	1	by	by	ADP
cana-3297	197	2	leveraging	leverage	VERB
cana-3297	197	3	the	the	DET
cana-3297	197	4	power	power	NOUN
cana-3297	197	5	of	of	ADP
cana-3297	197	6	graph	graph	NOUN
cana-3297	197	7	theory	theory	NOUN
cana-3297	197	8	and	and	CCONJ
cana-3297	197	9	machine	machine	NOUN
cana-3297	197	10	learning	learning	NOUN
cana-3297	197	11	,	,	PUNCT
cana-3297	197	12	we	we	PRON
cana-3297	197	13	are	be	AUX
cana-3297	197	14	able	able	ADJ
cana-3297	197	15	to	to	PART
cana-3297	197	16	represent	represent	VERB
cana-3297	197	17	partial	partial	ADJ
cana-3297	197	18	words	word	NOUN
cana-3297	197	19	as	as	ADP
cana-3297	197	20	nodes	node	NOUN
cana-3297	197	21	in	in	ADP
cana-3297	197	22	a	a	DET
cana-3297	197	23	graph	graph	NOUN
cana-3297	197	24	and	and	CCONJ
cana-3297	197	25	their	their	PRON
cana-3297	197	26	relationships	relationship	NOUN
cana-3297	197	27	as	as	ADP
cana-3297	197	28	weighted	weight	VERB
cana-3297	197	29	edges	edge	NOUN
cana-3297	197	30	,	,	PUNCT
cana-3297	197	31	capturing	capture	VERB
cana-3297	197	32	both	both	CCONJ
cana-3297	197	33	the	the	DET
cana-3297	197	34	syntactic	syntactic	ADJ
cana-3297	197	35	and	and	CCONJ
cana-3297	197	36	semantic	semantic	ADJ
cana-3297	197	37	connections	connection	NOUN
cana-3297	197	38	between	between	ADP
cana-3297	197	39	words	word	NOUN
cana-3297	197	40	.	.	PUNCT
cana-3297	198	1	the	the	DET
cana-3297	198	2	construction	construction	NOUN
cana-3297	198	3	of	of	ADP
cana-3297	198	4	the	the	DET
cana-3297	198	5	graph	graph	NOUN
cana-3297	198	6	based	base	VERB
cana-3297	198	7	on	on	ADP
cana-3297	198	8	pairwise	pairwise	NOUN
cana-3297	198	9	similarity	similarity	NOUN
cana-3297	198	10	scores	score	NOUN
cana-3297	198	11	allows	allow	VERB
cana-3297	198	12	us	we	PRON
cana-3297	198	13	to	to	PART
cana-3297	198	14	model	model	VERB
cana-3297	198	15	the	the	DET
cana-3297	198	16	relationships	relationship	NOUN
cana-3297	198	17	between	between	ADP
cana-3297	198	18	the	the	DET
cana-3297	198	19	lyndon	lyndon	PROPN
cana-3297	198	20	partial	partial	ADJ
cana-3297	198	21	words	word	NOUN
cana-3297	198	22	in	in	ADP
cana-3297	198	23	a	a	DET
cana-3297	198	24	structured	structured	ADJ
cana-3297	198	25	manner	manner	NOUN
cana-3297	198	26	.	.	PUNCT
cana-3297	199	1	the	the	DET
cana-3297	199	2	use	use	NOUN
cana-3297	199	3	of	of	ADP
cana-3297	199	4	node2vec	node2vec	NOUN
cana-3297	199	5	for	for	ADP
cana-3297	199	6	generating	generate	VERB
cana-3297	199	7	node	node	ADJ
cana-3297	199	8	embeddings	embedding	NOUN
cana-3297	199	9	further	far	ADV
cana-3297	199	10	enhances	enhance	VERB
cana-3297	199	11	the	the	DET
cana-3297	199	12	analysis	analysis	NOUN
cana-3297	199	13	by	by	ADP
cana-3297	199	14	providing	provide	VERB
cana-3297	199	15	continuous	continuous	ADJ
cana-3297	199	16	vector	vector	NOUN
cana-3297	199	17	representations	representation	NOUN
cana-3297	199	18	of	of	ADP
cana-3297	199	19	words	word	NOUN
cana-3297	199	20	that	that	PRON
cana-3297	199	21	capture	capture	VERB
cana-3297	199	22	their	their	PRON
cana-3297	199	23	contextual	contextual	ADJ
cana-3297	199	24	and	and	CCONJ
cana-3297	199	25	relational	relational	ADJ
cana-3297	199	26	information	information	NOUN
cana-3297	199	27	.	.	PUNCT
cana-3297	200	1	this	this	DET
cana-3297	200	2	step	step	NOUN
cana-3297	200	3	enables	enable	VERB
cana-3297	200	4	the	the	DET
cana-3297	200	5	use	use	NOUN
cana-3297	200	6	of	of	ADP
cana-3297	200	7	advanced	advanced	ADJ
cana-3297	200	8	machine	machine	NOUN
cana-3297	200	9	learning	learn	VERB
cana-3297	200	10	techniques	technique	NOUN
cana-3297	200	11	such	such	ADJ
cana-3297	200	12	as	as	ADP
cana-3297	200	13	clustering	clustering	NOUN
cana-3297	200	14	,	,	PUNCT
cana-3297	200	15	classification	classification	NOUN
cana-3297	200	16	,	,	PUNCT
cana-3297	200	17	and	and	CCONJ
cana-3297	200	18	dimensionality	dimensionality	NOUN
cana-3297	200	19	reduction	reduction	NOUN
cana-3297	200	20	,	,	PUNCT
cana-3297	200	21	which	which	PRON
cana-3297	200	22	are	be	AUX
cana-3297	200	23	essential	essential	ADJ
cana-3297	200	24	for	for	ADP
cana-3297	200	25	uncovering	uncover	VERB
cana-3297	200	26	hidden	hide	VERB
cana-3297	200	27	patterns	pattern	NOUN
cana-3297	200	28	and	and	CCONJ
cana-3297	200	29	structures	structure	NOUN
cana-3297	200	30	in	in	ADP
cana-3297	200	31	the	the	DET
cana-3297	200	32	data	datum	NOUN
cana-3297	200	33	.	.	PUNCT
cana-3297	201	1	through	through	ADP
cana-3297	201	2	pca	pca	PROPN
cana-3297	201	3	and	and	CCONJ
cana-3297	201	4	k	k	NOUN
cana-3297	201	5	-	-	PUNCT
cana-3297	201	6	means	means	NOUN
cana-3297	201	7	clustering	clustering	NOUN
cana-3297	201	8	,	,	PUNCT
cana-3297	201	9	we	we	PRON
cana-3297	201	10	were	be	AUX
cana-3297	201	11	able	able	ADJ
cana-3297	201	12	to	to	PART
cana-3297	201	13	visualize	visualize	VERB
cana-3297	201	14	and	and	CCONJ
cana-3297	201	15	interpret	interpret	VERB
cana-3297	201	16	the	the	DET
cana-3297	201	17	relationships	relationship	NOUN
cana-3297	201	18	between	between	ADP
cana-3297	201	19	words	word	NOUN
cana-3297	201	20	in	in	ADP
cana-3297	201	21	a	a	DET
cana-3297	201	22	lower	lower	ADV
cana-3297	201	23	-	-	PUNCT
cana-3297	201	24	dimensional	dimensional	ADJ
cana-3297	201	25	space	space	NOUN
cana-3297	201	26	,	,	PUNCT
cana-3297	201	27	making	make	VERB
cana-3297	201	28	it	it	PRON
cana-3297	201	29	easier	easy	ADJ
cana-3297	201	30	to	to	PART
cana-3297	201	31	identify	identify	VERB
cana-3297	201	32	clusters	cluster	NOUN
cana-3297	201	33	or	or	CCONJ
cana-3297	201	34	groups	group	NOUN
cana-3297	201	35	of	of	ADP
cana-3297	201	36	words	word	NOUN
cana-3297	201	37	that	that	PRON
cana-3297	201	38	share	share	VERB
cana-3297	201	39	common	common	ADJ
cana-3297	201	40	properties	property	NOUN
cana-3297	201	41	.	.	PUNCT
cana-3297	202	1	the	the	DET
cana-3297	202	2	3d	3d	PROPN
cana-3297	202	3	visualization	visualization	NOUN
cana-3297	202	4	of	of	ADP
cana-3297	202	5	the	the	DET
cana-3297	202	6	embeddings	embedding	NOUN
cana-3297	202	7	offers	offer	VERB
cana-3297	202	8	an	an	DET
cana-3297	202	9	intuitive	intuitive	ADJ
cana-3297	202	10	way	way	NOUN
cana-3297	202	11	to	to	PART
cana-3297	202	12	observe	observe	VERB
cana-3297	202	13	the	the	DET
cana-3297	202	14	spread	spread	NOUN
cana-3297	202	15	and	and	CCONJ
cana-3297	202	16	clustering	clustering	NOUN
cana-3297	202	17	of	of	ADP
cana-3297	202	18	the	the	DET
cana-3297	202	19	words	word	NOUN
cana-3297	202	20	,	,	PUNCT
cana-3297	202	21	highlighting	highlight	VERB
cana-3297	202	22	the	the	DET
cana-3297	202	23	effectiveness	effectiveness	NOUN
cana-3297	202	24	of	of	ADP
cana-3297	202	25	dimensionality	dimensionality	NOUN
cana-3297	202	26	reduction	reduction	NOUN
cana-3297	202	27	in	in	ADP
cana-3297	202	28	making	make	VERB
cana-3297	202	29	high	high	ADJ
cana-3297	202	30	-	-	PUNCT
cana-3297	202	31	dimensional	dimensional	ADJ
cana-3297	202	32	data	datum	NOUN
cana-3297	202	33	more	more	ADV
cana-3297	202	34	interpretable	interpretable	ADJ
cana-3297	202	35	.	.	PUNCT
cana-3297	203	1	communications	communication	NOUN
cana-3297	203	2	on	on	ADP
cana-3297	203	3	applied	apply	VERB
cana-3297	203	4	nonlinear	nonlinear	ADJ
cana-3297	203	5	analysis	analysis	NOUN
cana-3297	203	6	issn	issn	NOUN
cana-3297	203	7	:	:	PUNCT
cana-3297	203	8	1074	1074	NUM
cana-3297	203	9	-	-	PUNCT
cana-3297	203	10	133x	133x	NUM
cana-3297	203	11	vol	vol	NOUN
cana-3297	203	12	32	32	NUM
cana-3297	203	13	no	no	NOUN
cana-3297	203	14	.	.	PUNCT
cana-3297	204	1	6s	6s	NUM
cana-3297	204	2	(	(	PUNCT
cana-3297	204	3	2025	2025	NUM
cana-3297	204	4	)	)	PUNCT
cana-3297	204	5	312	312	NUM
cana-3297	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3297	204	7	overall	overall	ADJ
cana-3297	204	8	,	,	PUNCT
cana-3297	204	9	the	the	DET
cana-3297	204	10	synergy	synergy	NOUN
cana-3297	204	11	between	between	ADP
cana-3297	204	12	lyndon	lyndon	PROPN
cana-3297	204	13	partial	partial	ADJ
cana-3297	204	14	words	word	NOUN
cana-3297	204	15	and	and	CCONJ
cana-3297	204	16	graph	graph	NOUN
cana-3297	204	17	-	-	PUNCT
cana-3297	204	18	based	base	VERB
cana-3297	204	19	machine	machine	NOUN
cana-3297	204	20	learning	learning	NOUN
cana-3297	204	21	provides	provide	VERB
cana-3297	204	22	a	a	DET
cana-3297	204	23	robust	robust	ADJ
cana-3297	204	24	framework	framework	NOUN
cana-3297	204	25	for	for	ADP
cana-3297	204	26	analyzing	analyze	VERB
cana-3297	204	27	and	and	CCONJ
cana-3297	204	28	understanding	understand	VERB
cana-3297	204	29	linguistic	linguistic	ADJ
cana-3297	204	30	data	datum	NOUN
cana-3297	204	31	.	.	PUNCT
cana-3297	205	1	this	this	DET
cana-3297	205	2	approach	approach	NOUN
cana-3297	205	3	not	not	PART
cana-3297	205	4	only	only	ADV
cana-3297	205	5	enriches	enrich	VERB
cana-3297	205	6	the	the	DET
cana-3297	205	7	study	study	NOUN
cana-3297	205	8	of	of	ADP
cana-3297	205	9	formal	formal	ADJ
cana-3297	205	10	languages	language	NOUN
cana-3297	205	11	and	and	CCONJ
cana-3297	205	12	automata	automata	NOUN
cana-3297	205	13	theory	theory	NOUN
cana-3297	205	14	but	but	CCONJ
cana-3297	205	15	also	also	ADV
cana-3297	205	16	offers	offer	VERB
cana-3297	205	17	practical	practical	ADJ
cana-3297	205	18	applications	application	NOUN
cana-3297	205	19	in	in	ADP
cana-3297	205	20	areas	area	NOUN
cana-3297	205	21	such	such	ADJ
cana-3297	205	22	as	as	ADP
cana-3297	205	23	natural	natural	ADJ
cana-3297	205	24	language	language	NOUN
cana-3297	205	25	processing	processing	NOUN
cana-3297	205	26	(	(	PUNCT
cana-3297	205	27	nlp	nlp	NOUN
cana-3297	205	28	)	)	PUNCT
cana-3297	205	29	,	,	PUNCT
cana-3297	205	30	machine	machine	NOUN
cana-3297	205	31	learning	learning	NOUN
cana-3297	205	32	,	,	PUNCT
cana-3297	205	33	and	and	CCONJ
cana-3297	205	34	computational	computational	ADJ
cana-3297	205	35	linguistics	linguistic	NOUN
cana-3297	205	36	.	.	PUNCT
cana-3297	206	1	as	as	SCONJ
cana-3297	206	2	the	the	DET
cana-3297	206	3	field	field	NOUN
cana-3297	206	4	continues	continue	VERB
cana-3297	206	5	to	to	PART
cana-3297	206	6	evolve	evolve	VERB
cana-3297	206	7	,	,	PUNCT
cana-3297	206	8	further	further	ADJ
cana-3297	206	9	advancements	advancement	NOUN
cana-3297	206	10	in	in	ADP
cana-3297	206	11	gbml	gbml	ADJ
cana-3297	206	12	algorithms	algorithm	NOUN
cana-3297	206	13	and	and	CCONJ
cana-3297	206	14	their	their	PRON
cana-3297	206	15	application	application	NOUN
cana-3297	206	16	to	to	ADP
cana-3297	206	17	linguistic	linguistic	ADJ
cana-3297	206	18	data	datum	NOUN
cana-3297	206	19	hold	hold	VERB
cana-3297	206	20	great	great	ADJ
cana-3297	206	21	promise	promise	NOUN
cana-3297	206	22	for	for	ADP
cana-3297	206	23	uncovering	uncover	VERB
cana-3297	206	24	deeper	deep	ADJ
cana-3297	206	25	insights	insight	NOUN
cana-3297	206	26	into	into	ADP
cana-3297	206	27	the	the	DET
cana-3297	206	28	structure	structure	NOUN
cana-3297	206	29	and	and	CCONJ
cana-3297	206	30	dynamics	dynamic	NOUN
cana-3297	206	31	of	of	ADP
cana-3297	206	32	human	human	ADJ
cana-3297	206	33	language	language	NOUN
cana-3297	206	34	.	.	PUNCT
cana-3297	207	1	references	reference	NOUN
cana-3297	207	2	[	[	X
cana-3297	207	3	1	1	NUM
cana-3297	207	4	]	]	X
cana-3297	207	5	arulprakasam	arulprakasam	PROPN
cana-3297	207	6	,	,	PUNCT
cana-3297	207	7	r.	r.	PROPN
cana-3297	207	8	,	,	PUNCT
cana-3297	207	9	krishna	krishna	PROPN
cana-3297	207	10	kumari	kumari	PROPN
cana-3297	207	11	,	,	PUNCT
cana-3297	207	12	r.	r.	PROPN
cana-3297	207	13	,	,	PUNCT
cana-3297	207	14	janaki	janaki	PROPN
cana-3297	207	15	,	,	PUNCT
cana-3297	207	16	k.	k.	PROPN
cana-3297	207	17	,	,	PUNCT
cana-3297	207	18	jeyanthi	jeyanthi	PROPN
cana-3297	207	19	,	,	PUNCT
cana-3297	207	20	l.	l.	PROPN
cana-3297	207	21	,	,	PUNCT
cana-3297	207	22	and	and	CCONJ
cana-3297	207	23	madhusoodhanan	madhusoodhanan	NOUN
cana-3297	207	24	,	,	PUNCT
cana-3297	207	25	p.	p.	NOUN
cana-3297	207	26	(	(	PUNCT
cana-3297	207	27	2024	2024	NUM
cana-3297	207	28	)	)	PUNCT
cana-3297	207	29	.	.	PUNCT
cana-3297	208	1	properties	property	NOUN
cana-3297	208	2	of	of	ADP
cana-3297	208	3	variants	variant	NOUN
cana-3297	208	4	of	of	ADP
cana-3297	208	5	lyndon	lyndon	PROPN
cana-3297	208	6	partial	partial	ADJ
cana-3297	208	7	words	word	NOUN
cana-3297	208	8	.	.	PUNCT
cana-3297	209	1	iaeng	iaeng	PROPN
cana-3297	209	2	international	international	PROPN
cana-3297	209	3	journal	journal	PROPN
cana-3297	209	4	of	of	ADP
cana-3297	209	5	computer	computer	NOUN
cana-3297	209	6	science	science	NOUN
cana-3297	209	7	,	,	PUNCT
cana-3297	209	8	51	51	NUM
cana-3297	209	9	(	(	PUNCT
cana-3297	209	10	3	3	NUM
cana-3297	209	11	)	)	PUNCT
cana-3297	209	12	,	,	PUNCT
cana-3297	209	13	282	282	NUM
cana-3297	209	14	-	-	SYM
cana-3297	209	15	291	291	NUM
cana-3297	209	16	.	.	PUNCT
cana-3297	210	1	https://doi.org/10.14846/ijcsa.51.3.19168	https://doi.org/10.14846/ijcsa.51.3.19168	NOUN
cana-3297	210	2	[	[	X
cana-3297	210	3	2	2	NUM
cana-3297	210	4	]	]	X
cana-3297	210	5	berstel	berstel	NOUN
cana-3297	210	6	,	,	PUNCT
cana-3297	210	7	j.	j.	PROPN
cana-3297	210	8	(	(	PUNCT
cana-3297	210	9	2002	2002	NUM
cana-3297	210	10	)	)	PUNCT
cana-3297	210	11	.	.	PUNCT
cana-3297	211	1	lyndon	lyndon	PROPN
cana-3297	211	2	words	word	NOUN
cana-3297	211	3	and	and	CCONJ
cana-3297	211	4	applications	application	NOUN
cana-3297	211	5	to	to	ADP
cana-3297	211	6	algorithmic	algorithmic	ADJ
cana-3297	211	7	combinatorics	combinatoric	NOUN
cana-3297	211	8	.	.	PUNCT
cana-3297	212	1	in	in	ADP
cana-3297	212	2	mathematical	mathematical	ADJ
cana-3297	212	3	foundations	foundation	NOUN
cana-3297	212	4	of	of	ADP
cana-3297	212	5	computer	computer	NOUN
cana-3297	212	6	science	science	NOUN
cana-3297	212	7	(	(	PUNCT
cana-3297	212	8	mfcs	mfcs	PROPN
cana-3297	212	9	)	)	PUNCT
cana-3297	212	10	(	(	PUNCT
cana-3297	212	11	pp	pp	X
cana-3297	212	12	.	.	PUNCT
cana-3297	213	1	134	134	NUM
cana-3297	213	2	-	-	SYM
cana-3297	213	3	150	150	NUM
cana-3297	213	4	)	)	PUNCT
cana-3297	213	5	.	.	PUNCT
cana-3297	214	1	springer	springer	NOUN
cana-3297	214	2	.	.	PUNCT
cana-3297	215	1	https://doi.org/10.1007/3-540-45823-7_11	https://doi.org/10.1007/3-540-45823-7_11	VERB
cana-3297	215	2	[	[	X
cana-3297	215	3	3	3	NUM
cana-3297	215	4	]	]	X
cana-3297	215	5	berstel	berstel	NOUN
cana-3297	215	6	,	,	PUNCT
cana-3297	215	7	j.	j.	PROPN
cana-3297	215	8	,	,	PUNCT
cana-3297	215	9	and	and	CCONJ
cana-3297	215	10	perrin	perrin	NOUN
cana-3297	215	11	,	,	PUNCT
cana-3297	215	12	d.	d.	PROPN
cana-3297	215	13	(	(	PUNCT
cana-3297	215	14	1985	1985	NUM
cana-3297	215	15	)	)	PUNCT
cana-3297	215	16	.	.	PUNCT
cana-3297	216	1	theory	theory	NOUN
cana-3297	216	2	of	of	ADP
cana-3297	216	3	codes	code	NOUN
cana-3297	216	4	.	.	PUNCT
cana-3297	217	1	academic	academic	ADJ
cana-3297	217	2	press	press	NOUN
cana-3297	217	3	.	.	PUNCT
cana-3297	218	1	[	[	X
cana-3297	218	2	4	4	NUM
cana-3297	218	3	]	]	SYM
cana-3297	218	4	blondel	blondel	NOUN
cana-3297	218	5	,	,	PUNCT
cana-3297	218	6	v.	v.	PROPN
cana-3297	218	7	d.	d.	PROPN
cana-3297	218	8	,	,	PUNCT
cana-3297	218	9	guillaume	guillaume	PROPN
cana-3297	218	10	,	,	PUNCT
cana-3297	218	11	j.-l	j.-l	PROPN
cana-3297	218	12	.	.	PUNCT
cana-3297	218	13	,	,	PUNCT
cana-3297	218	14	lambiotte	lambiotte	PROPN
cana-3297	218	15	,	,	PUNCT
cana-3297	218	16	r.	r.	PROPN
cana-3297	218	17	,	,	PUNCT
cana-3297	218	18	and	and	CCONJ
cana-3297	218	19	lefebvre	lefebvre	PROPN
cana-3297	218	20	,	,	PUNCT
cana-3297	218	21	e.	e.	PROPN
cana-3297	218	22	(	(	PUNCT
cana-3297	218	23	2008	2008	NUM
cana-3297	218	24	)	)	PUNCT
cana-3297	218	25	.	.	PUNCT
cana-3297	219	1	fast	fast	ADJ
cana-3297	219	2	unfolding	unfolding	NOUN
cana-3297	219	3	of	of	ADP
cana-3297	219	4	communities	community	NOUN
cana-3297	219	5	in	in	ADP
cana-3297	219	6	large	large	ADJ
cana-3297	219	7	networks	network	NOUN
cana-3297	219	8	.	.	PUNCT
cana-3297	220	1	journal	journal	NOUN
cana-3297	220	2	of	of	ADP
cana-3297	220	3	statistical	statistical	ADJ
cana-3297	220	4	mechanics	mechanic	NOUN
cana-3297	220	5	:	:	PUNCT
cana-3297	220	6	theory	theory	NOUN
cana-3297	220	7	and	and	CCONJ
cana-3297	220	8	experiment	experiment	NOUN
cana-3297	220	9	,	,	PUNCT
cana-3297	220	10	2008	2008	NUM
cana-3297	220	11	(	(	PUNCT
cana-3297	220	12	10	10	NUM
cana-3297	220	13	)	)	PUNCT
cana-3297	220	14	,	,	PUNCT
cana-3297	221	1	p10008	p10008	PROPN
cana-3297	221	2	.	.	PUNCT
cana-3297	222	1	https://doi.org/	https://doi.org/	VERB
cana-3297	222	2	10.1088/1742	10.1088/1742	NUM
cana-3297	222	3	-	-	SYM
cana-3297	222	4	5468/2008/10	5468/2008/10	NUM
cana-3297	222	5	/	/	SYM
cana-3297	222	6	p10008	p10008	PROPN
cana-3297	223	1	[	[	X
cana-3297	223	2	5	5	NUM
cana-3297	223	3	]	]	PUNCT
cana-3297	223	4	borgwardt	borgwardt	PROPN
cana-3297	223	5	,	,	PUNCT
cana-3297	223	6	k.	k.	PROPN
cana-3297	223	7	m.	m.	PROPN
cana-3297	223	8	,	,	PUNCT
cana-3297	223	9	and	and	CCONJ
cana-3297	223	10	kienzle	kienzle	VERB
cana-3297	223	11	,	,	PUNCT
cana-3297	223	12	w.	w.	NOUN
cana-3297	223	13	(	(	PUNCT
cana-3297	223	14	2007	2007	NUM
cana-3297	223	15	)	)	PUNCT
cana-3297	223	16	.	.	PUNCT
cana-3297	224	1	graph	graph	NOUN
cana-3297	224	2	kernels	kernel	NOUN
cana-3297	224	3	:	:	PUNCT
cana-3297	224	4	a	a	DET
cana-3297	224	5	survey	survey	NOUN
cana-3297	224	6	.	.	PUNCT
cana-3297	225	1	acm	acm	PROPN
cana-3297	225	2	computing	computing	NOUN
cana-3297	225	3	surveys	survey	NOUN
cana-3297	225	4	(	(	PUNCT
cana-3297	225	5	csur	csur	NOUN
cana-3297	225	6	)	)	PUNCT
cana-3297	225	7	,	,	PUNCT
cana-3297	225	8	40	40	NUM
cana-3297	225	9	(	(	PUNCT
cana-3297	225	10	3	3	NUM
cana-3297	225	11	)	)	PUNCT
cana-3297	225	12	,	,	PUNCT
cana-3297	225	13	145	145	NUM
cana-3297	225	14	.	.	PUNCT
cana-3297	225	15	https://doi.org/10	https://doi.org/10	PROPN
cana-3297	225	16	.	.	PUNCT
cana-3297	226	1	1145/1275496.1275498	1145/1275496.1275498	PRON
cana-3297	226	2	[	[	X
cana-3297	226	3	6	6	NUM
cana-3297	226	4	]	]	PUNCT
cana-3297	226	5	grover	grover	NOUN
cana-3297	226	6	,	,	PUNCT
cana-3297	226	7	a.	a.	NOUN
cana-3297	226	8	,	,	PUNCT
cana-3297	226	9	and	and	CCONJ
cana-3297	226	10	leskovec	leskovec	PROPN
cana-3297	226	11	,	,	PUNCT
cana-3297	226	12	j.	j.	PROPN
cana-3297	226	13	(	(	PUNCT
cana-3297	226	14	2016	2016	NUM
cana-3297	226	15	)	)	PUNCT
cana-3297	226	16	.	.	PUNCT
cana-3297	227	1	node2vec	node2vec	X
cana-3297	227	2	:	:	PUNCT
cana-3297	227	3	scalable	scalable	ADJ
cana-3297	227	4	feature	feature	NOUN
cana-3297	227	5	learning	learn	VERB
cana-3297	227	6	for	for	ADP
cana-3297	227	7	networks	network	NOUN
cana-3297	227	8	.	.	PUNCT
cana-3297	228	1	proceedings	proceeding	NOUN
cana-3297	228	2	of	of	ADP
cana-3297	228	3	the	the	DET
cana-3297	228	4	22nd	22nd	PROPN
cana-3297	228	5	acm	acm	PROPN
cana-3297	228	6	sigkdd	sigkdd	PROPN
cana-3297	228	7	international	international	ADJ
cana-3297	228	8	conference	conference	NOUN
cana-3297	228	9	on	on	ADP
cana-3297	228	10	knowledge	knowledge	NOUN
cana-3297	228	11	discovery	discovery	PROPN
cana-3297	228	12	and	and	CCONJ
cana-3297	228	13	data	datum	NOUN
cana-3297	228	14	mining	mining	NOUN
cana-3297	228	15	,	,	PUNCT
cana-3297	228	16	855	855	NUM
cana-3297	228	17	-	-	SYM
cana-3297	228	18	864	864	NUM
cana-3297	228	19	.	.	PUNCT
cana-3297	229	1	https://doi.org/10	https://doi.org/10	PROPN
cana-3297	229	2	.	.	PUNCT
cana-3297	230	1	1145/2939672.2939754	1145/2939672.2939754	NUM
cana-3297	231	1	[	[	X
cana-3297	231	2	7	7	NUM
cana-3297	231	3	]	]	X
cana-3297	231	4	karger	karger	NOUN
cana-3297	231	5	,	,	PUNCT
cana-3297	231	6	d.	d.	PROPN
cana-3297	231	7	r.	r.	PROPN
cana-3297	231	8	(	(	PUNCT
cana-3297	231	9	2016	2016	NUM
cana-3297	231	10	)	)	PUNCT
cana-3297	231	11	.	.	PUNCT
cana-3297	232	1	graph	graph	NOUN
cana-3297	232	2	algorithms	algorithm	NOUN
cana-3297	232	3	for	for	ADP
cana-3297	232	4	biological	biological	ADJ
cana-3297	232	5	sequence	sequence	NOUN
cana-3297	232	6	analysis	analysis	NOUN
cana-3297	232	7	.	.	PUNCT
cana-3297	233	1	cambridge	cambridge	PROPN
cana-3297	233	2	university	university	PROPN
cana-3297	233	3	press	press	NOUN
cana-3297	233	4	.	.	PUNCT
cana-3297	234	1	[	[	X
cana-3297	234	2	8	8	X
cana-3297	234	3	]	]	X
cana-3297	234	4	karger	karger	NOUN
cana-3297	234	5	,	,	PUNCT
cana-3297	234	6	p.	p.	NOUN
cana-3297	234	7	a.	a.	NOUN
cana-3297	235	1	(	(	PUNCT
cana-3297	235	2	2000	2000	NUM
cana-3297	235	3	)	)	PUNCT
cana-3297	235	4	.	.	PUNCT
cana-3297	236	1	computational	computational	ADJ
cana-3297	236	2	molecular	molecular	ADJ
cana-3297	236	3	biology	biology	NOUN
cana-3297	236	4	:	:	PUNCT
cana-3297	236	5	an	an	DET
cana-3297	236	6	algorithmic	algorithmic	ADJ
cana-3297	236	7	approach	approach	NOUN
cana-3297	236	8	.	.	PUNCT
cana-3297	237	1	mit	mit	PROPN
cana-3297	237	2	press	press	NOUN
cana-3297	237	3	.	.	PUNCT
cana-3297	238	1	[	[	X
cana-3297	238	2	9	9	NUM
cana-3297	238	3	]	]	X
cana-3297	238	4	krishna	krishna	PROPN
cana-3297	238	5	kumari	kumari	PROPN
cana-3297	238	6	,	,	PUNCT
cana-3297	238	7	r.	r.	PROPN
cana-3297	238	8	,	,	PUNCT
cana-3297	238	9	krishnan	krishnan	PROPN
cana-3297	238	10	,	,	PUNCT
cana-3297	238	11	s.b	s.b	PROPN
cana-3297	238	12	.	.	PROPN
cana-3297	238	13	,	,	PUNCT
cana-3297	238	14	subramanian	subramanian	PROPN
cana-3297	238	15	,	,	PUNCT
cana-3297	238	16	s.s	s.s	PROPN
cana-3297	238	17	.	.	PROPN
cana-3297	238	18	,	,	PUNCT
cana-3297	238	19	and	and	CCONJ
cana-3297	238	20	chakrabarti	chakrabarti	PROPN
cana-3297	238	21	,	,	PUNCT
cana-3297	238	22	p.	p.	NOUN
cana-3297	238	23	(	(	PUNCT
cana-3297	238	24	2024	2024	NUM
cana-3297	238	25	)	)	PUNCT
cana-3297	238	26	.	.	PUNCT
cana-3297	239	1	exploring	explore	VERB
cana-3297	239	2	instagram	instagram	PROPN
cana-3297	239	3	influencer	influencer	NOUN
cana-3297	239	4	networks	network	NOUN
cana-3297	239	5	:	:	PUNCT
cana-3297	239	6	a	a	DET
cana-3297	239	7	graph	graph	NOUN
cana-3297	239	8	-	-	PUNCT
cana-3297	239	9	based	base	VERB
cana-3297	239	10	machine	machine	NOUN
cana-3297	239	11	learning	learning	NOUN
cana-3297	239	12	approach	approach	NOUN
cana-3297	239	13	.	.	PUNCT
cana-3297	240	1	mathematical	mathematical	ADJ
cana-3297	240	2	modelling	modelling	NOUN
cana-3297	240	3	of	of	ADP
cana-3297	240	4	engineering	engineering	NOUN
cana-3297	240	5	problems	problem	NOUN
cana-3297	240	6	,	,	PUNCT
cana-3297	240	7	11	11	NUM
cana-3297	240	8	(	(	PUNCT
cana-3297	240	9	8)	8)	NUM
cana-3297	240	10	,	,	PUNCT
cana-3297	240	11	2048	2048	NUM
cana-3297	240	12	-	-	SYM
cana-3297	240	13	2059	2059	NUM
cana-3297	240	14	.	.	PUNCT
cana-3297	241	1	https://doi.org/10.18280/mmep.110814	https://doi.org/10.18280/mmep.110814	NOUN
cana-3297	242	1	[	[	X
cana-3297	242	2	10	10	NUM
cana-3297	242	3	]	]	X
cana-3297	242	4	krishna	krishna	PROPN
cana-3297	242	5	kumari	kumari	PROPN
cana-3297	242	6	,	,	PUNCT
cana-3297	242	7	r.	r.	PROPN
cana-3297	242	8	,	,	PUNCT
cana-3297	242	9	krishnan	krishnan	PROPN
cana-3297	242	10	,	,	PUNCT
cana-3297	242	11	s.b	s.b	PROPN
cana-3297	242	12	.	.	PROPN
cana-3297	242	13	,	,	PUNCT
cana-3297	242	14	chakrabarti	chakrabarti	PROPN
cana-3297	242	15	,	,	PUNCT
cana-3297	242	16	p.	p.	NOUN
cana-3297	242	17	,	,	PUNCT
cana-3297	242	18	and	and	CCONJ
cana-3297	242	19	subramanian	subramanian	PROPN
cana-3297	242	20	,	,	PUNCT
cana-3297	242	21	s.s	s.s	PROPN
cana-3297	242	22	.	.	PROPN
cana-3297	242	23	(	(	PUNCT
cana-3297	242	24	2024	2024	NUM
cana-3297	242	25	)	)	PUNCT
cana-3297	242	26	.	.	PUNCT
cana-3297	243	1	securing	secure	VERB
cana-3297	243	2	online	online	ADJ
cana-3297	243	3	transactions	transaction	NOUN
cana-3297	243	4	:	:	PUNCT
cana-3297	243	5	unveiling	unveil	VERB
cana-3297	243	6	anomalies	anomaly	NOUN
cana-3297	243	7	through	through	ADP
cana-3297	243	8	graph	graph	NOUN
cana-3297	243	9	-	-	PUNCT
cana-3297	243	10	based	base	VERB
cana-3297	243	11	machine	machine	NOUN
cana-3297	243	12	learning	learn	VERB
cana-3297	243	13	in	in	ADP
cana-3297	243	14	fraud	fraud	NOUN
cana-3297	243	15	detection	detection	NOUN
cana-3297	243	16	.	.	PUNCT
cana-3297	244	1	mesa	mesa	PROPN
cana-3297	244	2	,	,	PUNCT
cana-3297	244	3	15	15	NUM
cana-3297	244	4	(	(	PUNCT
cana-3297	244	5	3	3	NUM
cana-3297	244	6	)	)	PUNCT
cana-3297	244	7	.	.	PUNCT
cana-3297	245	1	https://doi.org/10.1118/1.5124304	https://doi.org/10.1118/1.5124304	PROPN
cana-3297	246	1	[	[	X
cana-3297	246	2	11	11	NUM
cana-3297	246	3	]	]	X
cana-3297	246	4	krishna	krishna	PROPN
cana-3297	246	5	kumari	kumari	PROPN
cana-3297	246	6	,	,	PUNCT
cana-3297	246	7	r.	r.	PROPN
cana-3297	246	8	,	,	PUNCT
cana-3297	246	9	janaki	janaki	PROPN
cana-3297	246	10	,	,	PUNCT
cana-3297	246	11	k.	k.	PROPN
cana-3297	246	12	,	,	PUNCT
cana-3297	246	13	pathinathan	pathinathan	PROPN
cana-3297	246	14	,	,	PUNCT
cana-3297	246	15	m.	m.	NOUN
cana-3297	246	16	,	,	PUNCT
cana-3297	246	17	and	and	CCONJ
cana-3297	246	18	raghuraman	raghuraman	NOUN
cana-3297	246	19	,	,	PUNCT
cana-3297	246	20	s.	s.	PROPN
cana-3297	246	21	(	(	PUNCT
cana-3297	246	22	2024	2024	NUM
cana-3297	246	23	)	)	PUNCT
cana-3297	246	24	.	.	PUNCT
cana-3297	247	1	credit	credit	NOUN
cana-3297	247	2	card	card	NOUN
cana-3297	247	3	fraud	fraud	NOUN
cana-3297	247	4	detection	detection	NOUN
cana-3297	247	5	with	with	ADP
cana-3297	247	6	advanced	advanced	ADJ
cana-3297	247	7	graph	graph	NOUN
cana-3297	247	8	-	-	PUNCT
cana-3297	247	9	based	base	VERB
cana-3297	247	10	machine	machine	NOUN
cana-3297	247	11	learning	learn	VERB
cana-3297	247	12	techniques	technique	NOUN
cana-3297	247	13	.	.	PUNCT
cana-3297	248	1	indonesian	indonesian	ADJ
cana-3297	248	2	journal	journal	PROPN
cana-3297	248	3	of	of	ADP
cana-3297	248	4	electrical	electrical	ADJ
cana-3297	248	5	engineering	engineering	NOUN
cana-3297	248	6	and	and	CCONJ
cana-3297	248	7	computer	computer	NOUN
cana-3297	248	8	science	science	NOUN
cana-3297	248	9	,	,	PUNCT
cana-3297	248	10	35	35	NUM
cana-3297	248	11	(	(	PUNCT
cana-3297	248	12	3	3	NUM
cana-3297	248	13	)	)	PUNCT
cana-3297	248	14	,	,	PUNCT
cana-3297	248	15	1963	1963	NUM
cana-3297	248	16	-	-	SYM
cana-3297	248	17	1975	1975	NUM
cana-3297	248	18	.	.	PUNCT
cana-3297	249	1	https://doi.org/10.11591/	https://doi.org/10.11591/	PROPN
cana-3297	249	2	ijeecs.v35.i3.pp1963	ijeecs.v35.i3.pp1963	PART
cana-3297	249	3	-	-	PUNCT
cana-3297	249	4	1975	1975	NUM
cana-3297	249	5	[	[	X
cana-3297	249	6	12	12	NUM
cana-3297	249	7	]	]	X
cana-3297	249	8	krishna	krishna	PROPN
cana-3297	249	9	kumari	kumari	PROPN
cana-3297	249	10	,	,	PUNCT
cana-3297	249	11	r.	r.	PROPN
cana-3297	249	12	,	,	PUNCT
cana-3297	249	13	arulprakasam	arulprakasam	PROPN
cana-3297	249	14	,	,	PUNCT
cana-3297	249	15	r.	r.	PROPN
cana-3297	249	16	,	,	PUNCT
cana-3297	249	17	and	and	CCONJ
cana-3297	249	18	dare	dare	VERB
cana-3297	249	19	,	,	PUNCT
cana-3297	249	20	v.r	v.r	PROPN
cana-3297	249	21	.	.	PROPN
cana-3297	249	22	(	(	PUNCT
cana-3297	249	23	2020	2020	NUM
cana-3297	249	24	)	)	PUNCT
cana-3297	249	25	.	.	PUNCT
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cana-3297	250	2	of	of	ADP
cana-3297	250	3	lyndon	lyndon	PROPN
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cana-3297	250	5	words	word	NOUN
cana-3297	250	6	.	.	PUNCT
cana-3297	251	1	international	international	ADJ
cana-3297	251	2	journal	journal	NOUN
cana-3297	251	3	of	of	ADP
cana-3297	251	4	mathematics	mathematic	NOUN
cana-3297	251	5	and	and	CCONJ
cana-3297	251	6	computer	computer	NOUN
cana-3297	251	7	science	science	NOUN
cana-3297	251	8	,	,	PUNCT
cana-3297	251	9	15	15	NUM
cana-3297	251	10	(	(	PUNCT
cana-3297	251	11	4	4	NUM
cana-3297	251	12	)	)	PUNCT
cana-3297	251	13	,	,	PUNCT
cana-3297	251	14	1173	1173	NUM
cana-3297	251	15	-	-	SYM
cana-3297	251	16	1177	1177	NUM
cana-3297	251	17	.	.	PUNCT
cana-3297	252	1	https://doi.org/10.4236/ijmcs.2020.154080	https://doi.org/10.4236/ijmcs.2020.154080	PROPN
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cana-3297	252	3	13	13	NUM
cana-3297	252	4	]	]	X
cana-3297	252	5	krishna	krishna	PROPN
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cana-3297	252	7	,	,	PUNCT
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cana-3297	252	9	,	,	PUNCT
cana-3297	252	10	et	et	PROPN
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cana-3297	252	12	.	.	PUNCT
cana-3297	252	13	(	(	PUNCT
cana-3297	252	14	2024	2024	NUM
cana-3297	252	15	)	)	PUNCT
cana-3297	252	16	.	.	PUNCT
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cana-3297	253	2	graph	graph	NOUN
cana-3297	253	3	machine	machine	NOUN
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cana-3297	253	8	congestion	congestion	NOUN
cana-3297	253	9	and	and	CCONJ
cana-3297	253	10	optimizing	optimize	VERB
cana-3297	253	11	vehicle	vehicle	NOUN
cana-3297	253	12	routing	routing	NOUN
cana-3297	253	13	.	.	PUNCT
cana-3297	254	1	asia	asia	PROPN
cana-3297	254	2	pacific	pacific	PROPN
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cana-3297	254	4	of	of	ADP
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cana-3297	254	6	,	,	PUNCT
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cana-3297	254	8	,	,	PUNCT
cana-3297	254	9	1	1	NUM
cana-3297	254	10	-	-	SYM
cana-3297	254	11	12	12	NUM
cana-3297	254	12	.	.	PUNCT
cana-3297	255	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
cana-3297	255	2	s40940	s40940	PROPN
cana-3297	255	3	-	-	PUNCT
cana-3297	255	4	02400124	02400124	NUM
cana-3297	255	5	-	-	PUNCT
cana-3297	255	6	w	w	NOUN
cana-3297	256	1	[	[	X
cana-3297	256	2	14	14	NUM
cana-3297	256	3	]	]	SYM
cana-3297	256	4	lothaire	lothaire	NOUN
cana-3297	256	5	,	,	PUNCT
cana-3297	256	6	m.	m.	NOUN
cana-3297	256	7	(	(	PUNCT
cana-3297	256	8	1997	1997	NUM
cana-3297	256	9	)	)	PUNCT
cana-3297	256	10	.	.	PUNCT
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cana-3297	257	2	on	on	ADP
cana-3297	257	3	words	word	NOUN
cana-3297	257	4	.	.	PUNCT
cana-3297	258	1	cambridge	cambridge	PROPN
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cana-3297	258	4	.	.	PUNCT
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cana-3297	259	2	15	15	NUM
cana-3297	259	3	]	]	X
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cana-3297	259	7	,	,	PUNCT
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cana-3297	259	9	pizarro	pizarro	PROPN
cana-3297	259	10	,	,	PUNCT
cana-3297	259	11	j.	j.	PROPN
cana-3297	259	12	(	(	PUNCT
cana-3297	259	13	2018	2018	NUM
cana-3297	259	14	)	)	PUNCT
cana-3297	259	15	.	.	PUNCT
cana-3297	260	1	lyndon	lyndon	PROPN
cana-3297	260	2	words	word	NOUN
cana-3297	260	3	and	and	CCONJ
cana-3297	260	4	combinatorics	combinatoric	NOUN
cana-3297	260	5	on	on	ADP
cana-3297	260	6	words	word	NOUN
cana-3297	260	7	:	:	PUNCT
cana-3297	260	8	a	a	DET
cana-3297	260	9	survey	survey	NOUN
cana-3297	260	10	.	.	PUNCT
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cana-3297	261	2	computer	computer	NOUN
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cana-3297	261	4	,	,	PUNCT
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cana-3297	261	6	,	,	PUNCT
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cana-3297	261	8	-	-	SYM
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cana-3297	261	10	.	.	PUNCT
cana-3297	262	1	https://doi	https://doi	X
cana-3297	262	2	.	.	PUNCT
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cana-3297	264	2	16	16	NUM
cana-3297	264	3	]	]	PUNCT
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cana-3297	264	5	,	,	PUNCT
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cana-3297	264	9	radev	radev	PROPN
cana-3297	264	10	,	,	PUNCT
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cana-3297	264	12	r.	r.	PROPN
cana-3297	264	13	(	(	PUNCT
cana-3297	264	14	2011	2011	NUM
cana-3297	264	15	)	)	PUNCT
cana-3297	264	16	.	.	PUNCT
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cana-3297	265	7	language	language	NOUN
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cana-3297	265	9	.	.	PUNCT
cana-3297	266	1	cambridge	cambridge	PROPN
cana-3297	266	2	university	university	PROPN
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cana-3297	266	4	.	.	PUNCT
cana-3297	267	1	[	[	X
cana-3297	267	2	17	17	NUM
cana-3297	267	3	]	]	SYM
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cana-3297	267	5	,	,	PUNCT
cana-3297	267	6	r.	r.	PROPN
cana-3297	267	7	,	,	PUNCT
cana-3297	267	8	and	and	CCONJ
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cana-3297	267	10	,	,	PUNCT
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cana-3297	267	12	(	(	PUNCT
cana-3297	267	13	2010	2010	NUM
cana-3297	267	14	)	)	PUNCT
cana-3297	267	15	.	.	PUNCT
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cana-3297	268	2	-	-	PUNCT
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cana-3297	268	7	.	.	PUNCT
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cana-3297	269	3	,	,	PUNCT
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cana-3297	269	5	)	)	PUNCT
cana-3297	269	6	,	,	PUNCT
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cana-3297	269	8	.	.	PUNCT
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cana-3297	270	4	18	18	NUM
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cana-3297	270	7	,	,	PUNCT
cana-3297	270	8	m.	m.	PROPN
cana-3297	270	9	e.	e.	PROPN
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cana-3297	270	11	,	,	PUNCT
cana-3297	270	12	and	and	CCONJ
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cana-3297	270	14	,	,	PUNCT
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cana-3297	270	18	)	)	PUNCT
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cana-3297	271	8	.	.	PUNCT
cana-3297	272	1	physical	physical	ADJ
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cana-3297	272	4	,	,	PUNCT
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cana-3297	272	8	)	)	PUNCT
cana-3297	272	9	,	,	PUNCT
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cana-3297	272	11	.	.	PUNCT
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cana-3297	274	2	19	19	NUM
cana-3297	274	3	]	]	PUNCT
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cana-3297	274	5	,	,	PUNCT
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cana-3297	274	7	a.	a.	NOUN
cana-3297	274	8	(	(	PUNCT
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cana-3297	274	10	)	)	PUNCT
cana-3297	274	11	.	.	PUNCT
cana-3297	275	1	computational	computational	ADJ
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cana-3297	275	8	.	.	PUNCT
cana-3297	276	1	mit	mit	PROPN
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cana-3297	277	14	)	)	PUNCT
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cana-3297	277	21	.	.	PUNCT
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cana-3297	278	6	and	and	CCONJ
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cana-3297	278	9	,	,	PUNCT
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cana-3297	278	13	,	,	PUNCT
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cana-3297	278	15	-	-	SYM
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cana-3297	278	17	.	.	PUNCT
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cana-3297	281	8	.	.	PUNCT
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cana-3297	282	2	,	,	PUNCT
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cana-3297	282	7	,	,	PUNCT
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cana-3297	282	9	-	-	SYM
cana-3297	282	10	563	563	NUM
cana-3297	282	11	.	.	PUNCT
cana-3297	283	1	https://doi.org/10	https://doi.org/10	PROPN
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cana-3297	284	2	/	/	SYM
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cana-3297	284	4	/	/	SYM
cana-3297	284	5	btz728	btz728	NOUN
cana-3297	284	6	.	.	PUNCT
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cana-3297	287	1	https://doi.org/10.1118/1.5124304	https://doi.org/10.1118/1.5124304	PROPN
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cana-3297	287	3	https://doi.org/10.11591/ijeecs.v35.i3.pp1963-1975	https://doi.org/10.11591/ijeecs.v35.i3.pp1963-1975	PROPN
cana-3297	287	4	https://doi.org/10.4236/ijmcs.2020.154080	https://doi.org/10.4236/ijmcs.2020.154080	PROPN
cana-3297	287	5	https://doi.org/10.4236/ijmcs.2020.154080	https://doi.org/10.4236/ijmcs.2020.154080	PROPN
cana-3297	287	6	https://doi.org/10.1007/s40940-024-00124-w	https://doi.org/10.1007/s40940-024-00124-w	INTJ
cana-3297	287	7	https://doi.org/10.1007/s40940-024-00124-w	https://doi.org/10.1007/s40940-024-00124-w	INTJ
cana-3297	287	8	https://doi.org/10.1007/s40940-024-00124-w	https://doi.org/10.1007/s40940-024-00124-w	INTJ
cana-3297	287	9	https://doi.org/10.1016/j.tcs.2018.03.012	https://doi.org/10.1016/j.tcs.2018.03.012	PROPN
cana-3297	287	10	https://doi.org/10.1016/j.tcs.2018.03.012	https://doi.org/10.1016/j.tcs.2018.03.012	PROPN
cana-3297	287	11	https://doi.org/10.1162/coli_a_00004	https://doi.org/10.1162/coli_a_00004	PROPN
cana-3297	287	12	https://doi.org/10.1162/coli_a_00004	https://doi.org/10.1162/coli_a_00004	PROPN
cana-3297	287	13	https://doi.org/10.1103/physreve.69.026113	https://doi.org/10.1103/physreve.69.026113	PROPN
cana-3297	287	14	https://doi.org/10.1103/physreve.69.026113	https://doi.org/10.1103/physreve.69.026113	PROPN
cana-3297	287	15	https://doi.org/10.1109/34.868688	https://doi.org/10.1109/34.868688	PROPN
cana-3297	287	16	https://doi.org/10.1093/bioinformatics/btz728	https://doi.org/10.1093/bioinformatics/btz728	PROPN
cana-3297	287	17	https://doi.org/10.1093/bioinformatics/btz728	https://doi.org/10.1093/bioinformatics/btz728	NOUN