id	sid	tid	token	lemma	pos
fcis-14697	1	1	frontiers	frontier	NOUN
fcis-14697	1	2	in	in	ADP
fcis-14697	1	3	computing	computing	NOUN
fcis-14697	1	4	and	and	CCONJ
fcis-14697	1	5	intelligent	intelligent	ADJ
fcis-14697	1	6	systems	system	NOUN
fcis-14697	1	7	issn	issn	VERB
fcis-14697	1	8	:	:	PUNCT
fcis-14697	1	9	2832	2832	NUM
fcis-14697	1	10	-	-	SYM
fcis-14697	1	11	6024	6024	NUM
fcis-14697	1	12	|	|	NOUN
fcis-14697	1	13	vol	vol	NOUN
fcis-14697	1	14	.	.	PROPN
fcis-14697	2	1	6	6	NUM
fcis-14697	2	2	,	,	PUNCT
fcis-14697	2	3	no	no	INTJ
fcis-14697	2	4	.	.	NOUN
fcis-14697	2	5	1	1	NUM
fcis-14697	2	6	,	,	PUNCT
fcis-14697	2	7	2023	2023	NUM
fcis-14697	2	8	66	66	NUM
fcis-14697	2	9	based	base	VERB
fcis-14697	2	10	on	on	ADP
fcis-14697	2	11	tpugraphs	tpugraph	NOUN
fcis-14697	2	12	predicting	predict	VERB
fcis-14697	2	13	model	model	NOUN
fcis-14697	2	14	runtimes	runtime	NOUN
fcis-14697	2	15	using	use	VERB
fcis-14697	2	16	graph	graph	NOUN
fcis-14697	2	17	neural	neural	ADJ
fcis-14697	2	18	networks	network	NOUN
fcis-14697	2	19	jingyu	jingyu	NOUN
fcis-14697	2	20	xu	xu	PROPN
fcis-14697	2	21	1	1	NUM
fcis-14697	2	22	,	,	PUNCT
fcis-14697	2	23	*	*	PUNCT
fcis-14697	2	24	,	,	PUNCT
fcis-14697	2	25	linying	linye	VERB
fcis-14697	2	26	pan	pan	NOUN
fcis-14697	2	27	2	2	NUM
fcis-14697	2	28	,	,	PUNCT
fcis-14697	2	29	qiang	qiang	PROPN
fcis-14697	2	30	zeng	zeng	PROPN
fcis-14697	2	31	3	3	PROPN
fcis-14697	2	32	,	,	PUNCT
fcis-14697	2	33	wenjian	wenjian	PROPN
fcis-14697	2	34	sun	sun	PROPN
fcis-14697	2	35	4	4	NUM
fcis-14697	2	36	,	,	PUNCT
fcis-14697	2	37	weixiang	weixiang	PROPN
fcis-14697	2	38	wan	wan	PROPN
fcis-14697	2	39	5	5	NUM
fcis-14697	2	40	1	1	NUM
fcis-14697	2	41	computer	computer	NOUN
fcis-14697	2	42	information	information	NOUN
fcis-14697	2	43	technology	technology	NOUN
fcis-14697	2	44	,	,	PUNCT
fcis-14697	2	45	northern	northern	PROPN
fcis-14697	2	46	arizona	arizona	PROPN
fcis-14697	2	47	university	university	PROPN
fcis-14697	2	48	,	,	PUNCT
fcis-14697	2	49	flagstaff	flagstaff	PROPN
fcis-14697	2	50	,	,	PUNCT
fcis-14697	2	51	arizona	arizona	PROPN
fcis-14697	2	52	,	,	PUNCT
fcis-14697	2	53	usa	usa	PROPN
fcis-14697	2	54	2	2	NUM
fcis-14697	2	55	information	information	NOUN
fcis-14697	2	56	studies	study	NOUN
fcis-14697	2	57	,	,	PUNCT
fcis-14697	2	58	trine	trine	PROPN
fcis-14697	2	59	university	university	PROPN
fcis-14697	2	60	,	,	PUNCT
fcis-14697	2	61	phoenix	phoenix	PROPN
fcis-14697	2	62	,	,	PUNCT
fcis-14697	2	63	arizona	arizona	PROPN
fcis-14697	2	64	,	,	PUNCT
fcis-14697	2	65	usa	usa	PROPN
fcis-14697	2	66	3	3	NUM
fcis-14697	2	67	computer	computer	NOUN
fcis-14697	2	68	technology	technology	NOUN
fcis-14697	2	69	,	,	PUNCT
fcis-14697	2	70	zhejiang	zhejiang	PROPN
fcis-14697	2	71	university	university	PROPN
fcis-14697	2	72	,	,	PUNCT
fcis-14697	2	73	hangzhou	hangzhou	PROPN
fcis-14697	2	74	,	,	PUNCT
fcis-14697	2	75	zhejiang	zhejiang	PROPN
fcis-14697	2	76	,	,	PUNCT
fcis-14697	2	77	china	china	PROPN
fcis-14697	2	78	4	4	NUM
fcis-14697	2	79	electronic	electronic	ADJ
fcis-14697	2	80	and	and	CCONJ
fcis-14697	2	81	information	information	NOUN
fcis-14697	2	82	engineering	engineering	NOUN
fcis-14697	2	83	,	,	PUNCT
fcis-14697	2	84	yantai	yantai	PROPN
fcis-14697	2	85	university	university	PROPN
fcis-14697	2	86	,	,	PUNCT
fcis-14697	2	87	tokyo	tokyo	PROPN
fcis-14697	2	88	,	,	PUNCT
fcis-14697	2	89	japan	japan	PROPN
fcis-14697	2	90	5	5	NUM
fcis-14697	2	91	electronics	electronic	NOUN
fcis-14697	2	92	&	&	CCONJ
fcis-14697	2	93	communication	communication	NOUN
fcis-14697	2	94	engineering	engineering	NOUN
fcis-14697	2	95	,	,	PUNCT
fcis-14697	2	96	university	university	NOUN
fcis-14697	2	97	of	of	ADP
fcis-14697	2	98	electronic	electronic	ADJ
fcis-14697	2	99	science	science	NOUN
fcis-14697	2	100	and	and	CCONJ
fcis-14697	2	101	technology	technology	NOUN
fcis-14697	2	102	of	of	ADP
fcis-14697	2	103	china	china	PROPN
fcis-14697	2	104	,	,	PUNCT
fcis-14697	2	105	chengdu	chengdu	PROPN
fcis-14697	2	106	,	,	PUNCT
fcis-14697	2	107	china	china	PROPN
fcis-14697	2	108	*	*	PUNCT
fcis-14697	2	109	corresponding	correspond	VERB
fcis-14697	2	110	author	author	NOUN
fcis-14697	2	111	:	:	PUNCT
fcis-14697	3	1	jingyu	jingyu	PROPN
fcis-14697	3	2	xu	xu	PROPN
fcis-14697	3	3	(	(	PUNCT
fcis-14697	3	4	email	email	NOUN
fcis-14697	3	5	:	:	PUNCT
fcis-14697	3	6	jyxu01@outlook.com	jyxu01@outlook.com	X
fcis-14697	3	7	)	)	PUNCT
fcis-14697	3	8	abstract	abstract	NOUN
fcis-14697	3	9	:	:	PUNCT
fcis-14697	3	10	deep	deep	ADJ
fcis-14697	3	11	learning	learning	NOUN
fcis-14697	3	12	frameworks	framework	NOUN
fcis-14697	3	13	are	be	AUX
fcis-14697	3	14	mainly	mainly	ADV
fcis-14697	3	15	divided	divide	VERB
fcis-14697	3	16	into	into	ADP
fcis-14697	3	17	pytorch	pytorch	NOUN
fcis-14697	3	18	in	in	ADP
fcis-14697	3	19	academia	academia	NOUN
fcis-14697	3	20	and	and	CCONJ
fcis-14697	3	21	tensorflow	tensorflow	NOUN
fcis-14697	3	22	in	in	ADP
fcis-14697	3	23	industry	industry	NOUN
fcis-14697	3	24	,	,	PUNCT
fcis-14697	3	25	where	where	SCONJ
fcis-14697	3	26	pytorch	pytorch	NOUN
fcis-14697	3	27	is	be	AUX
fcis-14697	3	28	a	a	DET
fcis-14697	3	29	dynamic	dynamic	ADJ
fcis-14697	3	30	graph	graph	NOUN
fcis-14697	3	31	and	and	CCONJ
fcis-14697	3	32	tensor	tensor	NOUN
fcis-14697	3	33	flow	flow	NOUN
fcis-14697	3	34	is	be	AUX
fcis-14697	3	35	a	a	DET
fcis-14697	3	36	static	static	ADJ
fcis-14697	3	37	graph	graph	NOUN
fcis-14697	3	38	,	,	PUNCT
fcis-14697	3	39	both	both	PRON
fcis-14697	3	40	of	of	ADP
fcis-14697	3	41	which	which	PRON
fcis-14697	3	42	are	be	AUX
fcis-14697	3	43	essentially	essentially	ADV
fcis-14697	3	44	directed	direct	VERB
fcis-14697	3	45	and	and	CCONJ
fcis-14697	3	46	loopless	loopless	NOUN
fcis-14697	3	47	computational	computational	ADJ
fcis-14697	3	48	graphs	graph	NOUN
fcis-14697	3	49	.	.	PUNCT
fcis-14697	4	1	in	in	ADP
fcis-14697	4	2	tensorflow	tensorflow	NOUN
fcis-14697	4	3	,	,	PUNCT
fcis-14697	4	4	data	datum	NOUN
fcis-14697	4	5	input	input	NOUN
fcis-14697	4	6	into	into	ADP
fcis-14697	4	7	the	the	DET
fcis-14697	4	8	model	model	NOUN
fcis-14697	4	9	requires	require	VERB
fcis-14697	4	10	a	a	DET
fcis-14697	4	11	good	good	ADJ
fcis-14697	4	12	computational	computational	ADJ
fcis-14697	4	13	graph	graph	NOUN
fcis-14697	4	14	structure	structure	NOUN
fcis-14697	4	15	to	to	PART
fcis-14697	4	16	be	be	AUX
fcis-14697	4	17	executed	execute	VERB
fcis-14697	4	18	,	,	PUNCT
fcis-14697	4	19	and	and	CCONJ
fcis-14697	4	20	static	static	ADJ
fcis-14697	4	21	graphs	graph	NOUN
fcis-14697	4	22	have	have	VERB
fcis-14697	4	23	more	more	ADJ
fcis-14697	4	24	optimization	optimization	NOUN
fcis-14697	4	25	methods	method	NOUN
fcis-14697	4	26	and	and	CCONJ
fcis-14697	4	27	higher	high	ADJ
fcis-14697	4	28	performance	performance	NOUN
fcis-14697	4	29	.	.	PUNCT
fcis-14697	5	1	the	the	DET
fcis-14697	5	2	node	node	NOUN
fcis-14697	5	3	of	of	ADP
fcis-14697	5	4	the	the	DET
fcis-14697	5	5	graph	graph	NOUN
fcis-14697	5	6	is	be	AUX
fcis-14697	5	7	op	op	NOUN
fcis-14697	5	8	and	and	CCONJ
fcis-14697	5	9	the	the	DET
fcis-14697	5	10	edge	edge	NOUN
fcis-14697	5	11	is	be	AUX
fcis-14697	5	12	tensor	tensor	NOUN
fcis-14697	5	13	.	.	PUNCT
fcis-14697	6	1	the	the	DET
fcis-14697	6	2	static	static	ADJ
fcis-14697	6	3	diagram	diagram	NOUN
fcis-14697	6	4	is	be	AUX
fcis-14697	6	5	fixed	fix	VERB
fcis-14697	6	6	after	after	SCONJ
fcis-14697	6	7	the	the	DET
fcis-14697	6	8	compilation	compilation	NOUN
fcis-14697	6	9	is	be	AUX
fcis-14697	6	10	completed	complete	VERB
fcis-14697	6	11	,	,	PUNCT
fcis-14697	6	12	so	so	CCONJ
fcis-14697	6	13	it	it	PRON
fcis-14697	6	14	is	be	AUX
fcis-14697	6	15	easier	easy	ADJ
fcis-14697	6	16	to	to	PART
fcis-14697	6	17	deploy	deploy	VERB
fcis-14697	6	18	on	on	ADP
fcis-14697	6	19	the	the	DET
fcis-14697	6	20	server	server	NOUN
fcis-14697	6	21	.	.	PUNCT
fcis-14697	7	1	how	how	SCONJ
fcis-14697	7	2	to	to	PART
fcis-14697	7	3	compile	compile	VERB
fcis-14697	7	4	a	a	DET
fcis-14697	7	5	static	static	ADJ
fcis-14697	7	6	graph	graph	NOUN
fcis-14697	7	7	.	.	PUNCT
fcis-14697	8	1	it	it	PRON
fcis-14697	8	2	is	be	AUX
fcis-14697	8	3	found	find	VERB
fcis-14697	8	4	that	that	SCONJ
fcis-14697	8	5	in	in	ADP
fcis-14697	8	6	the	the	DET
fcis-14697	8	7	compilation	compilation	NOUN
fcis-14697	8	8	process	process	NOUN
fcis-14697	8	9	of	of	ADP
fcis-14697	8	10	static	static	ADJ
fcis-14697	8	11	graphs	graph	NOUN
fcis-14697	8	12	,	,	PUNCT
fcis-14697	8	13	the	the	DET
fcis-14697	8	14	configuration	configuration	NOUN
fcis-14697	8	15	of	of	ADP
fcis-14697	8	16	the	the	DET
fcis-14697	8	17	compiler	compiler	NOUN
fcis-14697	8	18	(	(	PUNCT
fcis-14697	8	19	config	config	PROPN
fcis-14697	8	20	)	)	PUNCT
fcis-14697	8	21	affects	affect	VERB
fcis-14697	8	22	the	the	DET
fcis-14697	8	23	way	way	NOUN
fcis-14697	8	24	the	the	DET
fcis-14697	8	25	compiler	compiler	NOUN
fcis-14697	8	26	compiles	compile	NOUN
fcis-14697	8	27	and	and	CCONJ
fcis-14697	8	28	optimizes	optimize	VERB
fcis-14697	8	29	the	the	DET
fcis-14697	8	30	model	model	NOUN
fcis-14697	8	31	,	,	PUNCT
fcis-14697	8	32	and	and	CCONJ
fcis-14697	8	33	ultimately	ultimately	ADV
fcis-14697	8	34	affects	affect	VERB
fcis-14697	8	35	the	the	DET
fcis-14697	8	36	running	running	NOUN
fcis-14697	8	37	time	time	NOUN
fcis-14697	8	38	of	of	ADP
fcis-14697	8	39	the	the	DET
fcis-14697	8	40	model	model	NOUN
fcis-14697	8	41	.	.	PUNCT
fcis-14697	9	1	we	we	PRON
fcis-14697	9	2	propose	propose	VERB
fcis-14697	9	3	a	a	DET
fcis-14697	9	4	reliable	reliable	ADJ
fcis-14697	9	5	model	model	NOUN
fcis-14697	9	6	,	,	PUNCT
fcis-14697	9	7	which	which	PRON
fcis-14697	9	8	can	can	AUX
fcis-14697	9	9	predict	predict	VERB
fcis-14697	9	10	the	the	DET
fcis-14697	9	11	best	good	ADJ
fcis-14697	9	12	compilation	compilation	NOUN
fcis-14697	9	13	configuration	configuration	NOUN
fcis-14697	9	14	of	of	ADP
fcis-14697	9	15	the	the	DET
fcis-14697	9	16	model	model	NOUN
fcis-14697	9	17	according	accord	VERB
fcis-14697	9	18	to	to	ADP
fcis-14697	9	19	the	the	DET
fcis-14697	9	20	compilation	compilation	NOUN
fcis-14697	9	21	configuration	configuration	NOUN
fcis-14697	9	22	and	and	CCONJ
fcis-14697	9	23	runtime	runtime	NOUN
fcis-14697	9	24	of	of	ADP
fcis-14697	9	25	the	the	DET
fcis-14697	9	26	machine	machine	NOUN
fcis-14697	9	27	learning	learn	VERB
fcis-14697	9	28	model	model	NOUN
fcis-14697	9	29	in	in	ADP
fcis-14697	9	30	the	the	DET
fcis-14697	9	31	training	training	NOUN
fcis-14697	9	32	dataset	dataset	NOUN
fcis-14697	9	33	to	to	PART
fcis-14697	9	34	minimize	minimize	VERB
fcis-14697	9	35	the	the	DET
fcis-14697	9	36	running	running	NOUN
fcis-14697	9	37	time	time	NOUN
fcis-14697	9	38	.	.	PUNCT
fcis-14697	10	1	keywords	keyword	NOUN
fcis-14697	10	2	:	:	PUNCT
fcis-14697	10	3	tpu	tpu	NOUN
fcis-14697	10	4	graphs	graph	NOUN
fcis-14697	10	5	;	;	PUNCT
fcis-14697	10	6	runtime	runtime	NOUN
fcis-14697	10	7	prediction	prediction	NOUN
fcis-14697	10	8	;	;	PUNCT
fcis-14697	10	9	computational	computational	ADJ
fcis-14697	10	10	graphs	graph	NOUN
fcis-14697	10	11	;	;	PUNCT
fcis-14697	10	12	compilation	compilation	NOUN
fcis-14697	10	13	configuration	configuration	NOUN
fcis-14697	10	14	.	.	PUNCT
fcis-14697	11	1	1	1	X
fcis-14697	11	2	.	.	X
fcis-14697	11	3	introduction	introduction	NOUN
fcis-14697	11	4	compilers	compiler	NOUN
fcis-14697	11	5	frequently	frequently	ADV
fcis-14697	11	6	employ	employ	VERB
fcis-14697	11	7	performance	performance	NOUN
fcis-14697	11	8	models	model	NOUN
fcis-14697	11	9	for	for	ADP
fcis-14697	11	10	tackling	tackle	VERB
fcis-14697	11	11	optimization	optimization	NOUN
fcis-14697	11	12	problems	problem	NOUN
fcis-14697	11	13	[	[	X
fcis-14697	11	14	1	1	NUM
fcis-14697	11	15	]	]	PUNCT
fcis-14697	11	16	.	.	PUNCT
fcis-14697	12	1	building	build	VERB
fcis-14697	12	2	precise	precise	ADJ
fcis-14697	12	3	cost	cost	NOUN
fcis-14697	12	4	models	model	NOUN
fcis-14697	12	5	to	to	PART
fcis-14697	12	6	forecast	forecast	VERB
fcis-14697	12	7	execution	execution	NOUN
fcis-14697	12	8	times	time	NOUN
fcis-14697	12	9	on	on	ADP
fcis-14697	12	10	contemporary	contemporary	ADJ
fcis-14697	12	11	processors	processor	NOUN
fcis-14697	12	12	is	be	AUX
fcis-14697	12	13	exceedingly	exceedingly	ADV
fcis-14697	12	14	challenging	challenging	ADJ
fcis-14697	12	15	and	and	CCONJ
fcis-14697	12	16	time	time	NOUN
fcis-14697	12	17	-	-	PUNCT
fcis-14697	12	18	consuming	consume	VERB
fcis-14697	12	19	.	.	PUNCT
fcis-14697	13	1	this	this	DET
fcis-14697	13	2	difficulty	difficulty	NOUN
fcis-14697	13	3	arises	arise	VERB
fcis-14697	13	4	from	from	ADP
fcis-14697	13	5	the	the	DET
fcis-14697	13	6	intricate	intricate	ADJ
fcis-14697	13	7	nature	nature	NOUN
fcis-14697	13	8	of	of	ADP
fcis-14697	13	9	processors	processor	NOUN
fcis-14697	13	10	,	,	PUNCT
fcis-14697	13	11	particularly	particularly	ADV
fcis-14697	13	12	when	when	SCONJ
fcis-14697	13	13	detailed	detailed	ADJ
fcis-14697	13	14	hardware	hardware	NOUN
fcis-14697	13	15	design	design	NOUN
fcis-14697	13	16	information	information	NOUN
fcis-14697	13	17	is	be	AUX
fcis-14697	13	18	unavailable	unavailable	ADJ
fcis-14697	13	19	.	.	PUNCT
fcis-14697	14	1	the	the	DET
fcis-14697	14	2	performance	performance	NOUN
fcis-14697	14	3	model	model	NOUN
fcis-14697	14	4	is	be	AUX
fcis-14697	14	5	also	also	ADV
fcis-14697	14	6	utilized	utilize	VERB
fcis-14697	14	7	by	by	ADP
fcis-14697	14	8	the	the	DET
fcis-14697	14	9	compiler	compiler	NOUN
fcis-14697	14	10	autotuner	autotuner	NOUN
fcis-14697	14	11	to	to	PART
fcis-14697	14	12	assess	assess	VERB
fcis-14697	14	13	candidate	candidate	NOUN
fcis-14697	14	14	configurations	configuration	NOUN
fcis-14697	14	15	within	within	ADP
fcis-14697	14	16	the	the	DET
fcis-14697	14	17	search	search	NOUN
fcis-14697	14	18	space	space	NOUN
fcis-14697	14	19	[	[	X
fcis-14697	14	20	2	2	NUM
fcis-14697	14	21	]	]	PUNCT
fcis-14697	14	22	.	.	PUNCT
fcis-14697	15	1	however	however	ADV
fcis-14697	15	2	,	,	PUNCT
fcis-14697	15	3	formulating	formulate	VERB
fcis-14697	15	4	an	an	DET
fcis-14697	15	5	accurate	accurate	ADJ
fcis-14697	15	6	analytic	analytic	ADJ
fcis-14697	15	7	model	model	NOUN
fcis-14697	15	8	for	for	ADP
fcis-14697	15	9	program	program	NOUN
fcis-14697	15	10	performance	performance	NOUN
fcis-14697	15	11	on	on	ADP
fcis-14697	15	12	modern	modern	ADJ
fcis-14697	15	13	processors	processor	NOUN
fcis-14697	15	14	is	be	AUX
fcis-14697	15	15	both	both	PRON
fcis-14697	15	16	daunting	daunting	ADJ
fcis-14697	15	17	and	and	CCONJ
fcis-14697	15	18	time	time	NOUN
fcis-14697	15	19	-	-	PUNCT
fcis-14697	15	20	intensive	intensive	ADJ
fcis-14697	15	21	.	.	PUNCT
fcis-14697	16	1	this	this	DET
fcis-14697	16	2	challenge	challenge	NOUN
fcis-14697	16	3	is	be	AUX
fcis-14697	16	4	attributed	attribute	VERB
fcis-14697	16	5	to	to	ADP
fcis-14697	16	6	the	the	DET
fcis-14697	16	7	complexity	complexity	NOUN
fcis-14697	16	8	of	of	ADP
fcis-14697	16	9	the	the	DET
fcis-14697	16	10	underlying	underlie	VERB
fcis-14697	16	11	processor	processor	NOUN
fcis-14697	16	12	architecture	architecture	NOUN
fcis-14697	16	13	,	,	PUNCT
fcis-14697	16	14	compilers	compiler	NOUN
fcis-14697	16	15	,	,	PUNCT
fcis-14697	16	16	and	and	CCONJ
fcis-14697	16	17	their	their	PRON
fcis-14697	16	18	intricate	intricate	ADJ
fcis-14697	16	19	interactions	interaction	NOUN
fcis-14697	16	20	.	.	PUNCT
fcis-14697	17	1	in	in	ADP
fcis-14697	17	2	this	this	DET
fcis-14697	17	3	investigation	investigation	NOUN
fcis-14697	17	4	,	,	PUNCT
fcis-14697	17	5	we	we	PRON
fcis-14697	17	6	utilized	utilize	VERB
fcis-14697	17	7	the	the	DET
fcis-14697	17	8	tpugraphs	tpugraph	NOUN
fcis-14697	17	9	dataset	dataset	VERB
fcis-14697	17	10	publicly	publicly	ADV
fcis-14697	17	11	available	available	ADJ
fcis-14697	17	12	from	from	ADP
fcis-14697	17	13	phothi	phothi	PROPN
fcis-14697	17	14	limhana	limhana	PROPN
fcis-14697	17	15	et	et	PROPN
fcis-14697	17	16	al	al	PROPN
fcis-14697	17	17	.	.	PUNCT
fcis-14697	18	1	[	[	X
fcis-14697	18	2	3	3	NUM
fcis-14697	18	3	]	]	PUNCT
fcis-14697	18	4	.	.	PUNCT
fcis-14697	19	1	various	various	ADJ
fcis-14697	19	2	recent	recent	ADJ
fcis-14697	19	3	methodologies	methodology	NOUN
fcis-14697	19	4	leverage	leverage	NOUN
fcis-14697	19	5	machine	machine	NOUN
fcis-14697	19	6	learning	learning	NOUN
fcis-14697	19	7	(	(	PUNCT
fcis-14697	19	8	ml	ml	NOUN
fcis-14697	19	9	)	)	PUNCT
fcis-14697	19	10	to	to	PART
fcis-14697	19	11	acquire	acquire	VERB
fcis-14697	19	12	performance	performance	NOUN
fcis-14697	19	13	prediction	prediction	NOUN
fcis-14697	19	14	models	model	NOUN
fcis-14697	19	15	.	.	PUNCT
fcis-14697	20	1	nonetheless	nonetheless	ADV
fcis-14697	20	2	,	,	PUNCT
fcis-14697	20	3	datasets	dataset	NOUN
fcis-14697	20	4	for	for	ADP
fcis-14697	20	5	program	program	NOUN
fcis-14697	20	6	performance	performance	NOUN
fcis-14697	20	7	prediction	prediction	NOUN
fcis-14697	20	8	are	be	AUX
fcis-14697	20	9	limited	limit	VERB
fcis-14697	20	10	,	,	PUNCT
fcis-14697	20	11	mainly	mainly	ADV
fcis-14697	20	12	targeting	target	VERB
fcis-14697	20	13	small	small	ADJ
fcis-14697	20	14	sub	sub	NOUN
fcis-14697	20	15	-	-	NOUN
fcis-14697	20	16	programs	program	NOUN
fcis-14697	20	17	.	.	PUNCT
fcis-14697	21	1	ml	ml	PROPN
fcis-14697	21	2	compilers	compiler	NOUN
fcis-14697	21	3	address	address	VERB
fcis-14697	21	4	multiple	multiple	ADJ
fcis-14697	21	5	optimization	optimization	NOUN
fcis-14697	21	6	challenges	challenge	NOUN
fcis-14697	21	7	in	in	ADP
fcis-14697	21	8	translating	translate	VERB
fcis-14697	21	9	an	an	DET
fcis-14697	21	10	ml	ml	NOUN
fcis-14697	21	11	program	program	NOUN
fcis-14697	21	12	,	,	PUNCT
fcis-14697	21	13	typically	typically	ADV
fcis-14697	21	14	presented	present	VERB
fcis-14697	21	15	as	as	ADP
fcis-14697	21	16	a	a	DET
fcis-14697	21	17	tensor	tensor	NOUN
fcis-14697	21	18	computation	computation	NOUN
fcis-14697	21	19	graph	graph	NOUN
fcis-14697	21	20	,	,	PUNCT
fcis-14697	21	21	into	into	ADP
fcis-14697	21	22	an	an	DET
fcis-14697	21	23	efficient	efficient	ADJ
fcis-14697	21	24	executable	executable	NOUN
fcis-14697	21	25	for	for	ADP
fcis-14697	21	26	a	a	DET
fcis-14697	21	27	hardware	hardware	NOUN
fcis-14697	21	28	target	target	NOUN
fcis-14697	21	29	.	.	PUNCT
fcis-14697	22	1	recent	recent	ADJ
fcis-14697	22	2	studies	study	NOUN
fcis-14697	22	3	have	have	AUX
fcis-14697	22	4	demonstrated	demonstrate	VERB
fcis-14697	22	5	that	that	SCONJ
fcis-14697	22	6	search	search	NOUN
fcis-14697	22	7	-	-	PUNCT
fcis-14697	22	8	based	base	VERB
fcis-14697	22	9	autotuning	autotuning	NOUN
fcis-14697	22	10	techniques	technique	NOUN
fcis-14697	22	11	can	can	AUX
fcis-14697	22	12	generate	generate	VERB
fcis-14697	22	13	code	code	NOUN
fcis-14697	22	14	with	with	ADP
fcis-14697	22	15	performance	performance	NOUN
fcis-14697	22	16	close	close	ADV
fcis-14697	22	17	to	to	ADP
fcis-14697	22	18	optimal	optimal	ADJ
fcis-14697	22	19	.	.	PUNCT
fcis-14697	23	1	however	however	ADV
fcis-14697	23	2	,	,	PUNCT
fcis-14697	23	3	autotuning	autotune	VERB
fcis-14697	23	4	demands	demand	NOUN
fcis-14697	23	5	a	a	DET
fcis-14697	23	6	relatively	relatively	ADV
fcis-14697	23	7	substantial	substantial	ADJ
fcis-14697	23	8	resource	resource	NOUN
fcis-14697	23	9	investment	investment	NOUN
fcis-14697	23	10	compared	compare	VERB
fcis-14697	23	11	to	to	ADP
fcis-14697	23	12	traditional	traditional	ADJ
fcis-14697	23	13	heuristics	heuristic	NOUN
fcis-14697	23	14	-	-	PUNCT
fcis-14697	23	15	based	base	VERB
fcis-14697	23	16	compilers	compiler	NOUN
fcis-14697	23	17	.	.	PUNCT
fcis-14697	24	1	consequently	consequently	ADV
fcis-14697	24	2	,	,	PUNCT
fcis-14697	24	3	several	several	ADJ
fcis-14697	24	4	methodologies	methodology	NOUN
fcis-14697	24	5	incorporate	incorporate	VERB
fcis-14697	24	6	a	a	DET
fcis-14697	24	7	learned	learn	VERB
fcis-14697	24	8	cost	cost	NOUN
fcis-14697	24	9	model	model	NOUN
fcis-14697	24	10	to	to	PART
fcis-14697	24	11	expedite	expedite	VERB
fcis-14697	24	12	autotuning	autotune	VERB
fcis-14697	24	13	.	.	PUNCT
fcis-14697	25	1	this	this	DET
fcis-14697	25	2	research	research	NOUN
fcis-14697	25	3	strives	strive	VERB
fcis-14697	25	4	to	to	PART
fcis-14697	25	5	contribute	contribute	VERB
fcis-14697	25	6	to	to	ADP
fcis-14697	25	7	the	the	DET
fcis-14697	25	8	field	field	NOUN
fcis-14697	25	9	of	of	ADP
fcis-14697	25	10	ai	ai	PROPN
fcis-14697	25	11	model	model	NOUN
fcis-14697	25	12	runtime	runtime	NOUN
fcis-14697	25	13	prediction	prediction	NOUN
fcis-14697	25	14	and	and	CCONJ
fcis-14697	25	15	the	the	DET
fcis-14697	25	16	application	application	NOUN
fcis-14697	25	17	of	of	ADP
fcis-14697	25	18	graph	graph	NOUN
fcis-14697	25	19	neural	neural	ADJ
fcis-14697	25	20	networks	network	NOUN
fcis-14697	25	21	.	.	PUNCT
fcis-14697	26	1	by	by	ADP
fcis-14697	26	2	exploring	explore	VERB
fcis-14697	26	3	the	the	DET
fcis-14697	26	4	potential	potential	NOUN
fcis-14697	26	5	of	of	ADP
fcis-14697	26	6	graph	graph	NOUN
fcis-14697	26	7	neural	neural	ADJ
fcis-14697	26	8	network	network	NOUN
fcis-14697	26	9	models	model	NOUN
fcis-14697	26	10	in	in	ADP
fcis-14697	26	11	comparison	comparison	NOUN
fcis-14697	26	12	to	to	ADP
fcis-14697	26	13	existing	exist	VERB
fcis-14697	26	14	methods	method	NOUN
fcis-14697	26	15	,	,	PUNCT
fcis-14697	26	16	we	we	PRON
fcis-14697	26	17	aim	aim	VERB
fcis-14697	26	18	to	to	PART
fcis-14697	26	19	minimize	minimize	VERB
fcis-14697	26	20	search	search	NOUN
fcis-14697	26	21	time	time	NOUN
fcis-14697	26	22	and	and	CCONJ
fcis-14697	26	23	enhance	enhance	VERB
fcis-14697	26	24	prediction	prediction	NOUN
fcis-14697	26	25	accuracy	accuracy	NOUN
fcis-14697	26	26	.	.	PUNCT
fcis-14697	27	1	this	this	DET
fcis-14697	27	2	endeavor	endeavor	NOUN
fcis-14697	27	3	may	may	AUX
fcis-14697	27	4	pave	pave	VERB
fcis-14697	27	5	the	the	DET
fcis-14697	27	6	way	way	NOUN
fcis-14697	27	7	for	for	ADP
fcis-14697	27	8	more	more	ADV
fcis-14697	27	9	efficient	efficient	ADJ
fcis-14697	27	10	model	model	NOUN
fcis-14697	27	11	compilation	compilation	NOUN
fcis-14697	27	12	configuration	configuration	NOUN
fcis-14697	27	13	selection	selection	NOUN
fcis-14697	27	14	and	and	CCONJ
fcis-14697	27	15	optimization	optimization	NOUN
fcis-14697	27	16	.	.	PUNCT
fcis-14697	28	1	2	2	X
fcis-14697	28	2	.	.	X
fcis-14697	28	3	related	relate	VERB
fcis-14697	28	4	work	work	NOUN
fcis-14697	28	5	numerous	numerous	ADJ
fcis-14697	28	6	academic	academic	ADJ
fcis-14697	28	7	works	work	NOUN
fcis-14697	28	8	leverage	leverage	NOUN
fcis-14697	28	9	machine	machine	NOUN
fcis-14697	28	10	learning	learn	VERB
fcis-14697	28	11	techniques	technique	NOUN
fcis-14697	28	12	for	for	ADP
fcis-14697	28	13	code	code	NOUN
fcis-14697	28	14	optimization	optimization	NOUN
fcis-14697	28	15	.	.	PUNCT
fcis-14697	29	1	our	our	PRON
fcis-14697	29	2	focus	focus	NOUN
fcis-14697	29	3	centers	center	NOUN
fcis-14697	29	4	on	on	ADP
fcis-14697	29	5	papers	paper	NOUN
fcis-14697	29	6	employing	employ	VERB
fcis-14697	29	7	machine	machine	NOUN
fcis-14697	29	8	learning	learn	VERB
fcis-14697	29	9	to	to	PART
fcis-14697	29	10	construct	construct	VERB
fcis-14697	29	11	cost	cost	NOUN
fcis-14697	29	12	models	model	NOUN
fcis-14697	29	13	for	for	ADP
fcis-14697	29	14	the	the	DET
fcis-14697	29	15	prediction	prediction	NOUN
fcis-14697	29	16	of	of	ADP
fcis-14697	29	17	program	program	NOUN
fcis-14697	29	18	execution	execution	NOUN
fcis-14697	29	19	times	time	NOUN
fcis-14697	29	20	.	.	PUNCT
fcis-14697	30	1	the	the	DET
fcis-14697	30	2	ensuing	ensue	VERB
fcis-14697	30	3	studies	study	NOUN
fcis-14697	30	4	illustrate	illustrate	VERB
fcis-14697	30	5	pivotal	pivotal	ADJ
fcis-14697	30	6	advancements	advancement	NOUN
fcis-14697	30	7	in	in	ADP
fcis-14697	30	8	this	this	DET
fcis-14697	30	9	dynamic	dynamic	ADJ
fcis-14697	30	10	domain	domain	NOUN
fcis-14697	30	11	:	:	PUNCT
fcis-14697	30	12	it	it	PRON
fcis-14697	30	13	hemal	hemal	ADJ
fcis-14697	30	14	employs	employ	VERB
fcis-14697	30	15	a	a	DET
fcis-14697	30	16	hierarchical	hierarchical	ADJ
fcis-14697	30	17	recurrent	recurrent	ADJ
fcis-14697	30	18	neural	neural	ADJ
fcis-14697	30	19	network	network	NOUN
fcis-14697	30	20	to	to	PART
fcis-14697	30	21	approximate	approximate	VERB
fcis-14697	30	22	the	the	DET
fcis-14697	30	23	throughput	throughput	NOUN
fcis-14697	30	24	of	of	ADP
fcis-14697	30	25	x86	x86	PROPN
fcis-14697	30	26	-	-	PUNCT
fcis-14697	30	27	64	64	NUM
fcis-14697	30	28	basic	basic	ADJ
fcis-14697	30	29	blocks	block	NOUN
fcis-14697	30	30	[	[	X
fcis-14697	30	31	4	4	NUM
fcis-14697	30	32	]	]	PUNCT
fcis-14697	30	33	.	.	PUNCT
fcis-14697	31	1	with	with	ADP
fcis-14697	31	2	an	an	DET
fcis-14697	31	3	average	average	ADJ
fcis-14697	31	4	error	error	NOUN
fcis-14697	31	5	rate	rate	NOUN
fcis-14697	31	6	of	of	ADP
fcis-14697	31	7	9	9	NUM
fcis-14697	31	8	%	%	NOUN
fcis-14697	31	9	,	,	PUNCT
fcis-14697	31	10	ithemal	ithemal	ADJ
fcis-14697	31	11	adeptly	adeptly	ADV
fcis-14697	31	12	estimates	estimate	VERB
fcis-14697	31	13	throughput	throughput	NOUN
fcis-14697	31	14	.	.	PUNCT
fcis-14697	32	1	while	while	SCONJ
fcis-14697	32	2	its	its	PRON
fcis-14697	32	3	emphasis	emphasis	NOUN
fcis-14697	32	4	lies	lie	VERB
fcis-14697	32	5	on	on	ADP
fcis-14697	32	6	small	small	ADJ
fcis-14697	32	7	loop	loop	NOUN
fcis-14697	32	8	-	-	PUNCT
fcis-14697	32	9	free	free	ADJ
fcis-14697	32	10	programs	program	NOUN
fcis-14697	32	11	,	,	PUNCT
fcis-14697	32	12	represented	represent	VERB
fcis-14697	32	13	sequentially	sequentially	ADV
fcis-14697	32	14	as	as	ADP
fcis-14697	32	15	instruction	instruction	NOUN
fcis-14697	32	16	sequences	sequence	NOUN
fcis-14697	32	17	executing	execute	VERB
fcis-14697	32	18	on	on	ADP
fcis-14697	32	19	intricately	intricately	ADV
fcis-14697	32	20	designed	design	VERB
fcis-14697	32	21	processors	processor	NOUN
fcis-14697	32	22	.	.	PUNCT
fcis-14697	33	1	the	the	DET
fcis-14697	33	2	performance	performance	NOUN
fcis-14697	33	3	model	model	NOUN
fcis-14697	33	4	based	base	VERB
fcis-14697	33	5	on	on	ADP
fcis-14697	33	6	code	code	NOUN
fcis-14697	33	7	features	feature	NOUN
fcis-14697	33	8	[	[	X
fcis-14697	33	9	5	5	NUM
fcis-14697	33	10	]	]	PUNCT
fcis-14697	33	11	and	and	CCONJ
fcis-14697	33	12	halide	halide	NOUN
fcis-14697	33	13	's	's	PART
fcis-14697	33	14	cost	cost	NOUN
fcis-14697	33	15	model	model	NOUN
fcis-14697	33	16	[	[	X
fcis-14697	33	17	6	6	NUM
fcis-14697	33	18	]	]	PUNCT
fcis-14697	33	19	utilize	utilize	VERB
fcis-14697	33	20	simplistic	simplistic	ADJ
fcis-14697	33	21	neural	neural	ADJ
fcis-14697	33	22	networks	network	NOUN
fcis-14697	33	23	to	to	ADP
fcis-14697	33	24	forecast	forecast	NOUN
fcis-14697	33	25	runtime	runtime	NOUN
fcis-14697	33	26	.	.	PUNCT
fcis-14697	34	1	these	these	DET
fcis-14697	34	2	networks	network	NOUN
fcis-14697	34	3	operate	operate	VERB
fcis-14697	34	4	on	on	ADP
fcis-14697	34	5	manuallyengineered	manuallyengineered	ADJ
fcis-14697	34	6	features	feature	NOUN
fcis-14697	34	7	generated	generate	VERB
fcis-14697	34	8	by	by	ADP
fcis-14697	34	9	a	a	DET
fcis-14697	34	10	static	static	ADJ
fcis-14697	34	11	analyzer	analyzer	NOUN
fcis-14697	34	12	from	from	ADP
fcis-14697	34	13	an	an	DET
fcis-14697	34	14	optimized	optimize	VERB
fcis-14697	34	15	program	program	NOUN
fcis-14697	34	16	(	(	PUNCT
fcis-14697	34	17	or	or	CCONJ
fcis-14697	34	18	a	a	DET
fcis-14697	34	19	program	program	NOUN
fcis-14697	34	20	and	and	CCONJ
fcis-14697	34	21	a	a	DET
fcis-14697	34	22	schedule	schedule	NOUN
fcis-14697	34	23	in	in	ADP
fcis-14697	34	24	halide	halide	NOUN
fcis-14697	34	25	)	)	PUNCT
fcis-14697	34	26	.	.	PUNCT
fcis-14697	35	1	given	give	VERB
fcis-14697	35	2	the	the	DET
fcis-14697	35	3	non	non	ADJ
fcis-14697	35	4	-	-	ADJ
fcis-14697	35	5	trivial	trivial	ADJ
fcis-14697	35	6	nature	nature	NOUN
fcis-14697	35	7	of	of	ADP
fcis-14697	35	8	extracting	extract	VERB
fcis-14697	35	9	these	these	DET
fcis-14697	35	10	features	feature	NOUN
fcis-14697	35	11	from	from	ADP
fcis-14697	35	12	an	an	DET
fcis-14697	35	13	xla	xla	X
fcis-14697	35	14	graph	graph	NOUN
fcis-14697	35	15	,	,	PUNCT
fcis-14697	35	16	we	we	PRON
fcis-14697	35	17	train	train	VERB
fcis-14697	35	18	a	a	DET
fcis-14697	35	19	more	more	ADV
fcis-14697	35	20	intricate	intricate	ADJ
fcis-14697	35	21	neural	neural	ADJ
fcis-14697	35	22	network	network	NOUN
fcis-14697	35	23	using	use	VERB
fcis-14697	35	24	features	feature	NOUN
fcis-14697	35	25	directly	directly	ADV
fcis-14697	35	26	extractable	extractable	ADJ
fcis-14697	35	27	from	from	ADP
fcis-14697	35	28	the	the	DET
fcis-14697	35	29	xla	xla	NOUN
fcis-14697	35	30	graph	graph	NOUN
fcis-14697	35	31	,	,	PUNCT
fcis-14697	35	32	possessing	possess	VERB
fcis-14697	35	33	adequate	adequate	ADJ
fcis-14697	35	34	capacity	capacity	NOUN
fcis-14697	35	35	to	to	PART
fcis-14697	35	36	recover	recover	VERB
fcis-14697	35	37	similarly	similarly	ADV
fcis-14697	35	38	potent	potent	ADJ
fcis-14697	35	39	representations	representation	NOUN
fcis-14697	35	40	.	.	PUNCT
fcis-14697	36	1	autotvm	autotvm	PROPN
fcis-14697	36	2	adopts	adopt	VERB
fcis-14697	36	3	a	a	DET
fcis-14697	36	4	distinct	distinct	ADJ
fcis-14697	36	5	form	form	NOUN
fcis-14697	36	6	of	of	ADP
fcis-14697	36	7	a	a	DET
fcis-14697	36	8	cost	cost	NOUN
fcis-14697	36	9	model	model	NOUN
fcis-14697	36	10	to	to	PART
fcis-14697	36	11	steer	steer	VERB
fcis-14697	36	12	its	its	PRON
fcis-14697	36	13	search	search	NOUN
fcis-14697	36	14	for	for	ADP
fcis-14697	36	15	a	a	DET
fcis-14697	36	16	rapid	rapid	ADJ
fcis-14697	36	17	configuration	configuration	NOUN
fcis-14697	36	18	in	in	ADP
fcis-14697	36	19	machine	machine	NOUN
fcis-14697	36	20	learning	learning	NOUN
fcis-14697	36	21	programs	program	NOUN
fcis-14697	36	22	[	[	X
fcis-14697	36	23	7	7	NUM
fcis-14697	36	24	]	]	PUNCT
fcis-14697	36	25	.	.	PUNCT
fcis-14697	37	1	unlike	unlike	ADP
fcis-14697	37	2	estimating	estimate	VERB
fcis-14697	37	3	runtime	runtime	NOUN
fcis-14697	37	4	directly	directly	ADV
fcis-14697	37	5	,	,	PUNCT
fcis-14697	37	6	autotvm	autotvm	PROPN
fcis-14697	37	7	ranks	rank	VERB
fcis-14697	37	8	candidates	candidate	NOUN
fcis-14697	37	9	.	.	PUNCT
fcis-14697	38	1	furthermore	furthermore	ADV
fcis-14697	38	2	,	,	PUNCT
fcis-14697	38	3	autotvm	autotvm	NOUN
fcis-14697	38	4	models	model	NOUN
fcis-14697	38	5	exhibit	exhibit	VERB
fcis-14697	38	6	limited	limited	ADJ
fcis-14697	38	7	generalization	generalization	NOUN
fcis-14697	38	8	across	across	ADP
fcis-14697	38	9	kernels	kernel	NOUN
fcis-14697	38	10	and	and	CCONJ
fcis-14697	38	11	are	be	AUX
fcis-14697	38	12	trained	train	VERB
fcis-14697	38	13	for	for	ADP
fcis-14697	38	14	perkernel	perkernel	NOUN
fcis-14697	38	15	search	search	NOUN
fcis-14697	38	16	within	within	ADP
fcis-14697	38	17	a	a	DET
fcis-14697	38	18	kernel	kernel	NOUN
fcis-14697	38	19	-	-	PUNCT
fcis-14697	38	20	specific	specific	ADJ
fcis-14697	38	21	parameter	parameter	NOUN
fcis-14697	38	22	set	set	NOUN
fcis-14697	38	23	.	.	PUNCT
fcis-14697	39	1	graphs	graph	NOUN
fcis-14697	39	2	offer	offer	VERB
fcis-14697	39	3	a	a	DET
fcis-14697	39	4	natural	natural	ADJ
fcis-14697	39	5	representation	representation	NOUN
fcis-14697	39	6	for	for	ADP
fcis-14697	39	7	real	real	ADJ
fcis-14697	39	8	-	-	PUNCT
fcis-14697	39	9	world	world	NOUN
fcis-14697	39	10	data	datum	NOUN
fcis-14697	39	11	with	with	ADP
fcis-14697	39	12	relational	relational	ADJ
fcis-14697	39	13	structures	structure	NOUN
fcis-14697	39	14	,	,	PUNCT
fcis-14697	39	15	such	such	ADJ
fcis-14697	39	16	as	as	ADP
fcis-14697	39	17	social	social	ADJ
fcis-14697	39	18	networks	network	NOUN
fcis-14697	39	19	,	,	PUNCT
fcis-14697	39	20	molecular	molecular	ADJ
fcis-14697	39	21	networks	network	NOUN
fcis-14697	39	22	,	,	PUNCT
fcis-14697	39	23	and	and	CCONJ
fcis-14697	39	24	webpage	webpage	NOUN
fcis-14697	39	25	graphs	graph	NOUN
fcis-14697	39	26	.	.	PUNCT
fcis-14697	40	1	recent	recent	ADJ
fcis-14697	40	2	endeavors	endeavor	NOUN
fcis-14697	40	3	extend	extend	VERB
fcis-14697	40	4	deep	deep	ADJ
fcis-14697	40	5	neural	neural	ADJ
fcis-14697	40	6	networks	network	NOUN
fcis-14697	40	7	(	(	PUNCT
fcis-14697	40	8	dnns	dnn	NOUN
fcis-14697	40	9	)	)	PUNCT
fcis-14697	40	10	to	to	PART
fcis-14697	40	11	extract	extract	VERB
fcis-14697	40	12	high	high	ADJ
fcis-14697	40	13	-	-	PUNCT
fcis-14697	40	14	level	level	NOUN
fcis-14697	40	15	features	feature	VERB
fcis-14697	40	16	67	67	NUM
fcis-14697	40	17	from	from	ADP
fcis-14697	40	18	graph	graph	NOUN
fcis-14697	40	19	-	-	PUNCT
fcis-14697	40	20	structured	structure	VERB
fcis-14697	40	21	datasets	dataset	NOUN
fcis-14697	40	22	.	.	PUNCT
fcis-14697	41	1	these	these	DET
fcis-14697	41	2	resulting	result	VERB
fcis-14697	41	3	architectures	architecture	NOUN
fcis-14697	41	4	,	,	PUNCT
fcis-14697	41	5	known	know	VERB
fcis-14697	41	6	as	as	ADP
fcis-14697	41	7	graph	graph	NOUN
fcis-14697	41	8	neural	neural	ADJ
fcis-14697	41	9	networks	network	NOUN
fcis-14697	41	10	(	(	PUNCT
fcis-14697	41	11	gnns	gnns	NOUN
fcis-14697	41	12	)	)	PUNCT
fcis-14697	41	13	,	,	PUNCT
fcis-14697	41	14	have	have	AUX
fcis-14697	41	15	recently	recently	ADV
fcis-14697	41	16	demonstrated	demonstrate	VERB
fcis-14697	41	17	state	state	NOUN
fcis-14697	41	18	-	-	PUNCT
fcis-14697	41	19	of	of	ADP
fcis-14697	41	20	-	-	PUNCT
fcis-14697	41	21	the	the	DET
fcis-14697	41	22	-	-	PUNCT
fcis-14697	41	23	art	art	NOUN
fcis-14697	41	24	performance	performance	NOUN
fcis-14697	41	25	in	in	ADP
fcis-14697	41	26	various	various	ADJ
fcis-14697	41	27	graphrelated	graphrelate	VERB
fcis-14697	41	28	tasks	task	NOUN
fcis-14697	41	29	,	,	PUNCT
fcis-14697	41	30	encompassing	encompass	VERB
fcis-14697	41	31	vertex	vertex	NOUN
fcis-14697	41	32	classification	classification	NOUN
fcis-14697	41	33	,	,	PUNCT
fcis-14697	41	34	graph	graph	NOUN
fcis-14697	41	35	classification	classification	NOUN
fcis-14697	41	36	,	,	PUNCT
fcis-14697	41	37	and	and	CCONJ
fcis-14697	41	38	link	link	VERB
fcis-14697	41	39	prediction	prediction	NOUN
fcis-14697	41	40	.	.	PUNCT
fcis-14697	42	1	noteworthy	noteworthy	ADJ
fcis-14697	42	2	efforts	effort	NOUN
fcis-14697	42	3	have	have	AUX
fcis-14697	42	4	been	be	AUX
fcis-14697	42	5	directed	direct	VERB
fcis-14697	42	6	towards	towards	ADP
fcis-14697	42	7	developing	develop	VERB
fcis-14697	42	8	machine	machine	NOUN
fcis-14697	42	9	learning	learning	NOUN
fcis-14697	42	10	-	-	PUNCT
fcis-14697	42	11	based	base	VERB
fcis-14697	42	12	models	model	NOUN
fcis-14697	42	13	for	for	ADP
fcis-14697	42	14	both	both	CCONJ
fcis-14697	42	15	absolute	absolute	ADJ
fcis-14697	42	16	and	and	CCONJ
fcis-14697	42	17	relative	relative	ADJ
fcis-14697	42	18	runtime	runtime	NOUN
fcis-14697	42	19	estimation	estimation	NOUN
fcis-14697	42	20	.	.	PUNCT
fcis-14697	43	1	huang	huang	PROPN
fcis-14697	43	2	et	et	PROPN
fcis-14697	43	3	al	al	PROPN
fcis-14697	43	4	.	.	PUNCT
fcis-14697	44	1	[	[	X
fcis-14697	44	2	8	8	NUM
fcis-14697	44	3	]	]	PUNCT
fcis-14697	44	4	introduces	introduce	NOUN
fcis-14697	44	5	sparse	sparse	ADJ
fcis-14697	44	6	polynomial	polynomial	ADJ
fcis-14697	44	7	regression	regression	NOUN
fcis-14697	44	8	to	to	PART
fcis-14697	44	9	predict	predict	VERB
fcis-14697	44	10	program	program	NOUN
fcis-14697	44	11	execution	execution	NOUN
fcis-14697	44	12	time	time	NOUN
fcis-14697	44	13	using	use	VERB
fcis-14697	44	14	hand	hand	NOUN
fcis-14697	44	15	-	-	PUNCT
fcis-14697	44	16	crafted	craft	VERB
fcis-14697	44	17	features	feature	NOUN
fcis-14697	44	18	of	of	ADP
fcis-14697	44	19	high	high	ADJ
fcis-14697	44	20	-	-	PUNCT
fcis-14697	44	21	level	level	NOUN
fcis-14697	44	22	programs	program	NOUN
fcis-14697	44	23	.	.	PUNCT
fcis-14697	45	1	dubach	dubach	NOUN
fcis-14697	45	2	et	et	PROPN
fcis-14697	45	3	al	al	PROPN
fcis-14697	45	4	.	.	PUNCT
fcis-14697	46	1	[	[	X
fcis-14697	46	2	9	9	NUM
fcis-14697	46	3	]	]	PUNCT
fcis-14697	46	4	employs	employ	VERB
fcis-14697	46	5	neural	neural	ADJ
fcis-14697	46	6	networks	network	NOUN
fcis-14697	46	7	with	with	ADP
fcis-14697	46	8	hand	hand	NOUN
fcis-14697	46	9	-	-	PUNCT
fcis-14697	46	10	crafted	craft	VERB
fcis-14697	46	11	features	feature	NOUN
fcis-14697	46	12	to	to	PART
fcis-14697	46	13	estimate	estimate	VERB
fcis-14697	46	14	the	the	DET
fcis-14697	46	15	speedup	speedup	NOUN
fcis-14697	46	16	between	between	ADP
fcis-14697	46	17	two	two	NUM
fcis-14697	46	18	code	code	NOUN
fcis-14697	46	19	sequences	sequence	NOUN
fcis-14697	46	20	.	.	PUNCT
fcis-14697	47	1	game	game	NOUN
fcis-14697	47	2	time	time	NOUN
fcis-14697	47	3	utilizes	utilize	VERB
fcis-14697	47	4	smt	smt	PROPN
fcis-14697	47	5	solvers	solver	NOUN
fcis-14697	47	6	to	to	PART
fcis-14697	47	7	generate	generate	VERB
fcis-14697	47	8	inputs	input	NOUN
fcis-14697	47	9	and	and	CCONJ
fcis-14697	47	10	employs	employ	VERB
fcis-14697	47	11	game	game	NOUN
fcis-14697	47	12	-	-	PUNCT
fcis-14697	47	13	theoretic	theoretic	NOUN
fcis-14697	47	14	approaches	approach	NOUN
fcis-14697	47	15	to	to	PART
fcis-14697	47	16	predict	predict	VERB
fcis-14697	47	17	the	the	DET
fcis-14697	47	18	runtime	runtime	NOUN
fcis-14697	47	19	distribution	distribution	NOUN
fcis-14697	47	20	of	of	ADP
fcis-14697	47	21	programs	program	NOUN
fcis-14697	47	22	.	.	PUNCT
fcis-14697	48	1	at	at	ADP
fcis-14697	48	2	any	any	DET
fcis-14697	48	3	rate	rate	NOUN
fcis-14697	48	4	,	,	PUNCT
fcis-14697	48	5	these	these	DET
fcis-14697	48	6	models	model	NOUN
fcis-14697	48	7	necessitate	necessitate	ADJ
fcis-14697	48	8	manual	manual	ADJ
fcis-14697	48	9	feature	feature	NOUN
fcis-14697	48	10	engineering	engineering	NOUN
fcis-14697	48	11	,	,	PUNCT
fcis-14697	48	12	and	and	CCONJ
fcis-14697	48	13	the	the	DET
fcis-14697	48	14	predictions	prediction	NOUN
fcis-14697	48	15	for	for	ADP
fcis-14697	48	16	runtime	runtime	NOUN
fcis-14697	48	17	occur	occur	VERB
fcis-14697	48	18	at	at	ADP
fcis-14697	48	19	a	a	DET
fcis-14697	48	20	more	more	ADV
fcis-14697	48	21	general	general	ADJ
fcis-14697	48	22	granularity	granularity	NOUN
fcis-14697	48	23	,	,	PUNCT
fcis-14697	48	24	such	such	ADJ
fcis-14697	48	25	as	as	ADP
fcis-14697	48	26	the	the	DET
fcis-14697	48	27	entire	entire	ADJ
fcis-14697	48	28	program	program	NOUN
fcis-14697	48	29	level	level	NOUN
fcis-14697	48	30	.	.	PUNCT
fcis-14697	49	1	consequently	consequently	ADV
fcis-14697	49	2	,	,	PUNCT
fcis-14697	49	3	we	we	PRON
fcis-14697	49	4	are	be	AUX
fcis-14697	49	5	in	in	ADP
fcis-14697	49	6	the	the	DET
fcis-14697	49	7	process	process	NOUN
fcis-14697	49	8	of	of	ADP
fcis-14697	49	9	constructing	construct	VERB
fcis-14697	49	10	a	a	DET
fcis-14697	49	11	learned	learn	VERB
fcis-14697	49	12	cost	cost	NOUN
fcis-14697	49	13	model	model	NOUN
fcis-14697	49	14	through	through	ADP
fcis-14697	49	15	a	a	DET
fcis-14697	49	16	neural	neural	ADJ
fcis-14697	49	17	network	network	NOUN
fcis-14697	49	18	,	,	PUNCT
fcis-14697	49	19	a	a	DET
fcis-14697	49	20	significantly	significantly	ADV
fcis-14697	49	21	less	less	ADJ
fcis-14697	49	22	labor	labor	NOUN
fcis-14697	49	23	-	-	PUNCT
fcis-14697	49	24	intensive	intensive	ADJ
fcis-14697	49	25	approach	approach	NOUN
fcis-14697	49	26	compared	compare	VERB
fcis-14697	49	27	to	to	ADP
fcis-14697	49	28	manual	manual	ADJ
fcis-14697	49	29	development	development	NOUN
fcis-14697	49	30	.	.	PUNCT
fcis-14697	50	1	in	in	ADP
fcis-14697	50	2	contrast	contrast	NOUN
fcis-14697	50	3	,	,	PUNCT
fcis-14697	50	4	our	our	PRON
fcis-14697	50	5	model	model	NOUN
fcis-14697	50	6	autonomously	autonomously	ADV
fcis-14697	50	7	acquires	acquire	VERB
fcis-14697	50	8	the	the	DET
fcis-14697	50	9	capability	capability	NOUN
fcis-14697	50	10	to	to	PART
fcis-14697	50	11	predict	predict	VERB
fcis-14697	50	12	the	the	DET
fcis-14697	50	13	throughput	throughput	NOUN
fcis-14697	50	14	of	of	ADP
fcis-14697	50	15	basic	basic	ADJ
fcis-14697	50	16	blocks	block	NOUN
fcis-14697	50	17	,	,	PUNCT
fcis-14697	50	18	incorporating	incorporate	VERB
fcis-14697	50	19	minimal	minimal	ADJ
fcis-14697	50	20	architectural	architectural	ADJ
fcis-14697	50	21	knowledge	knowledge	NOUN
fcis-14697	50	22	into	into	ADP
fcis-14697	50	23	the	the	DET
fcis-14697	50	24	model	model	NOUN
fcis-14697	50	25	.	.	PUNCT
fcis-14697	51	1	3	3	X
fcis-14697	51	2	.	.	X
fcis-14697	51	3	methodology	methodology	NOUN
fcis-14697	51	4	in	in	ADP
fcis-14697	51	5	this	this	DET
fcis-14697	51	6	section	section	NOUN
fcis-14697	51	7	,	,	PUNCT
fcis-14697	51	8	we	we	PRON
fcis-14697	51	9	provide	provide	VERB
fcis-14697	51	10	a	a	DET
fcis-14697	51	11	comprehensive	comprehensive	ADJ
fcis-14697	51	12	overview	overview	NOUN
fcis-14697	51	13	of	of	ADP
fcis-14697	51	14	the	the	DET
fcis-14697	51	15	approach	approach	NOUN
fcis-14697	51	16	we	we	PRON
fcis-14697	51	17	have	have	AUX
fcis-14697	51	18	taken	take	VERB
fcis-14697	51	19	in	in	ADP
fcis-14697	51	20	our	our	PRON
fcis-14697	51	21	research	research	NOUN
fcis-14697	51	22	focused	focus	VERB
fcis-14697	51	23	on	on	ADP
fcis-14697	51	24	model	model	NOUN
fcis-14697	51	25	runtime	runtime	NOUN
fcis-14697	51	26	prediction	prediction	NOUN
fcis-14697	51	27	.	.	PUNCT
fcis-14697	52	1	the	the	DET
fcis-14697	52	2	main	main	ADJ
fcis-14697	52	3	goal	goal	NOUN
fcis-14697	52	4	is	be	AUX
fcis-14697	52	5	to	to	PART
fcis-14697	52	6	develop	develop	VERB
fcis-14697	52	7	a	a	DET
fcis-14697	52	8	reliable	reliable	ADJ
fcis-14697	52	9	predictive	predictive	ADJ
fcis-14697	52	10	model	model	NOUN
fcis-14697	52	11	for	for	ADP
fcis-14697	52	12	model	model	NOUN
fcis-14697	52	13	optimal	optimal	ADJ
fcis-14697	52	14	configuration	configuration	NOUN
fcis-14697	52	15	prediction	prediction	NOUN
fcis-14697	52	16	using	use	VERB
fcis-14697	52	17	tpugraphs	tpugraph	NOUN
fcis-14697	52	18	data	datum	NOUN
fcis-14697	52	19	.	.	PUNCT
fcis-14697	53	1	the	the	DET
fcis-14697	53	2	cornerstone	cornerstone	NOUN
fcis-14697	53	3	of	of	ADP
fcis-14697	53	4	our	our	PRON
fcis-14697	53	5	approach	approach	NOUN
fcis-14697	53	6	is	be	AUX
fcis-14697	53	7	the	the	DET
fcis-14697	53	8	use	use	NOUN
fcis-14697	53	9	of	of	ADP
fcis-14697	53	10	advanced	advanced	ADJ
fcis-14697	53	11	machine	machine	NOUN
fcis-14697	53	12	learning	learn	VERB
fcis-14697	53	13	techniques	technique	NOUN
fcis-14697	53	14	,	,	PUNCT
fcis-14697	53	15	with	with	ADP
fcis-14697	53	16	a	a	DET
fcis-14697	53	17	special	special	ADJ
fcis-14697	53	18	emphasis	emphasis	NOUN
fcis-14697	53	19	on	on	ADP
fcis-14697	53	20	the	the	DET
fcis-14697	53	21	application	application	NOUN
fcis-14697	53	22	of	of	ADP
fcis-14697	53	23	graph	graph	NOUN
fcis-14697	53	24	neural	neural	ADJ
fcis-14697	53	25	networks	network	NOUN
fcis-14697	53	26	(	(	PUNCT
fcis-14697	53	27	gnns	gnns	NOUN
fcis-14697	53	28	)	)	PUNCT
fcis-14697	53	29	.	.	PUNCT
fcis-14697	54	1	this	this	DET
fcis-14697	54	2	choice	choice	NOUN
fcis-14697	54	3	is	be	AUX
fcis-14697	54	4	driven	drive	VERB
fcis-14697	54	5	by	by	ADP
fcis-14697	54	6	the	the	DET
fcis-14697	54	7	potential	potential	NOUN
fcis-14697	54	8	of	of	ADP
fcis-14697	54	9	graph	graph	NOUN
fcis-14697	54	10	neural	neural	ADJ
fcis-14697	54	11	networks	network	NOUN
fcis-14697	54	12	to	to	PART
fcis-14697	54	13	discern	discern	ADJ
fcis-14697	54	14	complex	complex	ADJ
fcis-14697	54	15	patterns	pattern	NOUN
fcis-14697	54	16	,	,	PUNCT
fcis-14697	54	17	which	which	PRON
fcis-14697	54	18	in	in	ADP
fcis-14697	54	19	irregular	irregular	ADJ
fcis-14697	54	20	graph	graph	NOUN
fcis-14697	54	21	data	datum	NOUN
fcis-14697	54	22	is	be	AUX
fcis-14697	54	23	a	a	DET
fcis-14697	54	24	critical	critical	ADJ
fcis-14697	54	25	aspect	aspect	NOUN
fcis-14697	54	26	of	of	ADP
fcis-14697	54	27	accurately	accurately	ADV
fcis-14697	54	28	predicting	predict	VERB
fcis-14697	54	29	the	the	DET
fcis-14697	54	30	optimal	optimal	ADJ
fcis-14697	54	31	configuration	configuration	NOUN
fcis-14697	54	32	for	for	SCONJ
fcis-14697	54	33	the	the	DET
fcis-14697	54	34	model	model	NOUN
fcis-14697	54	35	to	to	PART
fcis-14697	54	36	run	run	VERB
fcis-14697	54	37	.	.	PUNCT
fcis-14697	55	1	to	to	ADP
fcis-14697	55	2	the	the	DET
fcis-14697	55	3	best	good	ADJ
fcis-14697	55	4	of	of	ADP
fcis-14697	55	5	our	our	PRON
fcis-14697	55	6	knowledge	knowledge	NOUN
fcis-14697	55	7	,	,	PUNCT
fcis-14697	55	8	there	there	PRON
fcis-14697	55	9	is	be	VERB
fcis-14697	55	10	only	only	ADV
fcis-14697	55	11	one	one	NUM
fcis-14697	55	12	public	public	ADJ
fcis-14697	55	13	study	study	NOUN
fcis-14697	55	14	by	by	ADP
fcis-14697	55	15	phothilimthana	phothilimthana	PROPN
fcis-14697	55	16	's	's	PART
fcis-14697	55	17	team	team	NOUN
fcis-14697	55	18	that	that	PRON
fcis-14697	55	19	has	have	AUX
fcis-14697	55	20	been	be	AUX
fcis-14697	55	21	done	do	VERB
fcis-14697	55	22	on	on	ADP
fcis-14697	55	23	the	the	DET
fcis-14697	55	24	tpugraphs	tpugraph	NOUN
fcis-14697	55	25	dataset	dataset	NOUN
fcis-14697	55	26	so	so	ADV
fcis-14697	55	27	far	far	ADV
fcis-14697	56	1	[	[	X
fcis-14697	56	2	3	3	NUM
fcis-14697	56	3	]	]	PUNCT
fcis-14697	56	4	.	.	PUNCT
fcis-14697	57	1	so	so	ADV
fcis-14697	57	2	,	,	PUNCT
fcis-14697	57	3	to	to	PART
fcis-14697	57	4	ensure	ensure	VERB
fcis-14697	57	5	rigorous	rigorous	ADJ
fcis-14697	57	6	evaluation	evaluation	NOUN
fcis-14697	57	7	,	,	PUNCT
fcis-14697	57	8	the	the	DET
fcis-14697	57	9	performance	performance	NOUN
fcis-14697	57	10	of	of	ADP
fcis-14697	57	11	the	the	DET
fcis-14697	57	12	gnn	gnn	PROPN
fcis-14697	57	13	model	model	NOUN
fcis-14697	57	14	is	be	AUX
fcis-14697	57	15	juxtaposed	juxtapose	VERB
fcis-14697	57	16	with	with	ADP
fcis-14697	57	17	the	the	DET
fcis-14697	57	18	established	establish	VERB
fcis-14697	57	19	method	method	NOUN
fcis-14697	57	20	for	for	ADP
fcis-14697	57	21	optimal	optimal	ADJ
fcis-14697	57	22	configuration	configuration	NOUN
fcis-14697	57	23	prediction	prediction	NOUN
fcis-14697	57	24	,	,	PUNCT
fcis-14697	57	25	providing	provide	VERB
fcis-14697	57	26	valuable	valuable	ADJ
fcis-14697	57	27	insights	insight	NOUN
fcis-14697	57	28	into	into	ADP
fcis-14697	57	29	the	the	DET
fcis-14697	57	30	effectiveness	effectiveness	NOUN
fcis-14697	57	31	of	of	ADP
fcis-14697	57	32	our	our	PRON
fcis-14697	57	33	approach	approach	NOUN
fcis-14697	57	34	.	.	PUNCT
fcis-14697	58	1	3.1	3.1	NUM
fcis-14697	58	2	.	.	PUNCT
fcis-14697	58	3	model	model	NOUN
fcis-14697	58	4	architectures	architecture	NOUN
fcis-14697	58	5	the	the	DET
fcis-14697	58	6	chosen	choose	VERB
fcis-14697	58	7	graph	graph	NOUN
fcis-14697	58	8	neural	neural	ADJ
fcis-14697	58	9	network	network	NOUN
fcis-14697	58	10	(	(	PUNCT
fcis-14697	58	11	gnn	gnn	NOUN
fcis-14697	58	12	)	)	PUNCT
fcis-14697	58	13	architecture	architecture	NOUN
fcis-14697	58	14	is	be	AUX
fcis-14697	58	15	meticulously	meticulously	ADV
fcis-14697	58	16	designed	design	VERB
fcis-14697	58	17	to	to	PART
fcis-14697	58	18	address	address	VERB
fcis-14697	58	19	the	the	DET
fcis-14697	58	20	intricacies	intricacy	NOUN
fcis-14697	58	21	of	of	ADP
fcis-14697	58	22	specific	specific	ADJ
fcis-14697	58	23	task	task	NOUN
fcis-14697	58	24	.	.	PUNCT
fcis-14697	59	1	the	the	DET
fcis-14697	59	2	overall	overall	ADJ
fcis-14697	59	3	architecture	architecture	NOUN
fcis-14697	59	4	of	of	ADP
fcis-14697	59	5	the	the	DET
fcis-14697	59	6	model	model	NOUN
fcis-14697	59	7	is	be	AUX
fcis-14697	59	8	shown	show	VERB
fcis-14697	59	9	in	in	ADP
fcis-14697	59	10	figure	figure	NOUN
fcis-14697	59	11	1	1	NUM
fcis-14697	59	12	.	.	PUNCT
fcis-14697	60	1	node	node	NOUN
fcis-14697	60	2	features	feature	NOUN
fcis-14697	60	3	consist	consist	VERB
fcis-14697	60	4	of	of	ADP
fcis-14697	60	5	two	two	NUM
fcis-14697	60	6	parts	part	NOUN
fcis-14697	60	7	as	as	SCONJ
fcis-14697	60	8	shown	show	VERB
fcis-14697	60	9	in	in	ADP
fcis-14697	60	10	figure	figure	NOUN
fcis-14697	60	11	1	1	NUM
fcis-14697	60	12	.	.	PUNCT
fcis-14697	61	1	the	the	DET
fcis-14697	61	2	first	first	ADJ
fcis-14697	61	3	part	part	NOUN
fcis-14697	61	4	is	be	AUX
fcis-14697	61	5	an	an	DET
fcis-14697	61	6	opcode	opcode	NOUN
fcis-14697	61	7	i	i	PROPN
fcis-14697	61	8	d	d	PROPN
fcis-14697	61	9	,	,	PUNCT
fcis-14697	61	10	i.e.	i.e.	X
fcis-14697	61	11	,	,	PUNCT
fcis-14697	61	12	type	type	NOUN
fcis-14697	61	13	of	of	ADP
fcis-14697	61	14	tensor	tensor	NOUN
fcis-14697	61	15	operation	operation	NOUN
fcis-14697	61	16	(	(	PUNCT
fcis-14697	61	17	such	such	ADJ
fcis-14697	61	18	as	as	ADP
fcis-14697	61	19	matrix	matrix	NOUN
fcis-14697	61	20	multiplication	multiplication	NOUN
fcis-14697	61	21	)	)	PUNCT
fcis-14697	61	22	.	.	PUNCT
fcis-14697	62	1	our	our	PRON
fcis-14697	62	2	models	model	NOUN
fcis-14697	62	3	map	map	VERB
fcis-14697	62	4	an	an	DET
fcis-14697	62	5	opcode	opcode	NOUN
fcis-14697	62	6	i	i	X
fcis-14697	62	7	d	d	PROPN
fcis-14697	62	8	to	to	ADP
fcis-14697	62	9	an	an	DET
fcis-14697	62	10	opcode	opcode	NOUN
fcis-14697	62	11	embedding	embed	VERB
fcis-14697	62	12	via	via	ADP
fcis-14697	62	13	an	an	DET
fcis-14697	62	14	embedding	embed	VERB
fcis-14697	62	15	lookup	lookup	NOUN
fcis-14697	62	16	table	table	NOUN
fcis-14697	62	17	.	.	PUNCT
fcis-14697	63	1	the	the	DET
fcis-14697	63	2	opcode	opcode	NOUN
fcis-14697	63	3	embedding	embed	VERB
fcis-14697	63	4	is	be	AUX
fcis-14697	63	5	then	then	ADV
fcis-14697	63	6	concatenated	concatenate	VERB
fcis-14697	63	7	with	with	ADP
fcis-14697	63	8	the	the	DET
fcis-14697	63	9	rest	rest	NOUN
fcis-14697	63	10	of	of	ADP
fcis-14697	63	11	the	the	DET
fcis-14697	63	12	node	node	NOUN
fcis-14697	63	13	features	feature	NOUN
fcis-14697	63	14	as	as	ADP
fcis-14697	63	15	inputs	input	NOUN
fcis-14697	63	16	to	to	ADP
fcis-14697	63	17	a	a	DET
fcis-14697	63	18	gnn	gnn	NOUN
fcis-14697	63	19	.	.	PUNCT
fcis-14697	64	1	we	we	PRON
fcis-14697	64	2	combine	combine	VERB
fcis-14697	64	3	the	the	DET
fcis-14697	64	4	node	node	ADJ
fcis-14697	64	5	embeddings	embedding	NOUN
fcis-14697	64	6	produced	produce	VERB
fcis-14697	64	7	by	by	ADP
fcis-14697	64	8	the	the	DET
fcis-14697	64	9	gnn	gnn	PROPN
fcis-14697	64	10	to	to	PART
fcis-14697	64	11	create	create	VERB
fcis-14697	64	12	the	the	DET
fcis-14697	64	13	embedding	embedding	NOUN
fcis-14697	64	14	of	of	ADP
fcis-14697	64	15	the	the	DET
fcis-14697	64	16	graph	graph	NOUN
fcis-14697	64	17	using	use	VERB
fcis-14697	64	18	a	a	DET
fcis-14697	64	19	simple	simple	ADJ
fcis-14697	64	20	pooling	pooling	NOUN
fcis-14697	64	21	reduction	reduction	NOUN
fcis-14697	64	22	.	.	PUNCT
fcis-14697	65	1	the	the	DET
fcis-14697	65	2	resulting	result	VERB
fcis-14697	65	3	graph	graph	NOUN
fcis-14697	65	4	embedding	embed	VERB
fcis-14697	65	5	is	be	AUX
fcis-14697	65	6	then	then	ADV
fcis-14697	65	7	linearly	linearly	ADV
fcis-14697	65	8	transformed	transform	VERB
fcis-14697	65	9	into	into	ADP
fcis-14697	65	10	the	the	DET
fcis-14697	65	11	final	final	ADJ
fcis-14697	65	12	scalar	scalar	ADJ
fcis-14697	65	13	output	output	NOUN
fcis-14697	65	14	by	by	ADP
fcis-14697	65	15	a	a	DET
fcis-14697	65	16	feedforward	feedforward	ADJ
fcis-14697	65	17	layer	layer	NOUN
fcis-14697	65	18	.	.	PUNCT
fcis-14697	66	1	prior	prior	ADJ
fcis-14697	66	2	work	work	NOUN
fcis-14697	66	3	[	[	X
fcis-14697	66	4	10	10	NUM
fcis-14697	66	5	]	]	PUNCT
fcis-14697	66	6	has	have	AUX
fcis-14697	66	7	studied	study	VERB
fcis-14697	66	8	alternative	alternative	ADJ
fcis-14697	66	9	models	model	NOUN
fcis-14697	66	10	,	,	PUNCT
fcis-14697	66	11	including	include	VERB
fcis-14697	66	12	lstm	lstm	NOUN
fcis-14697	66	13	and	and	CCONJ
fcis-14697	66	14	transformer	transformer	NOUN
fcis-14697	66	15	,	,	PUNCT
fcis-14697	66	16	and	and	CCONJ
fcis-14697	66	17	shown	show	VERB
fcis-14697	66	18	that	that	DET
fcis-14697	66	19	gnns	gnns	NOUN
fcis-14697	66	20	offer	offer	VERB
fcis-14697	66	21	the	the	DET
fcis-14697	66	22	best	good	ADJ
fcis-14697	66	23	performance	performance	NOUN
fcis-14697	66	24	.	.	PUNCT
fcis-14697	67	1	figure	figure	NOUN
fcis-14697	67	2	1	1	NUM
fcis-14697	67	3	.	.	PUNCT
fcis-14697	67	4	model	model	NOUN
fcis-14697	67	5	architecture	architecture	NOUN
fcis-14697	67	6	.	.	PUNCT
fcis-14697	68	1	it	it	PRON
fcis-14697	68	2	is	be	AUX
fcis-14697	68	3	worth	worth	ADJ
fcis-14697	68	4	mentioning	mention	VERB
fcis-14697	68	5	that	that	SCONJ
fcis-14697	68	6	the	the	DET
fcis-14697	68	7	graph	graph	NOUN
fcis-14697	68	8	neural	neural	ADJ
fcis-14697	68	9	network	network	NOUN
fcis-14697	68	10	(	(	PUNCT
fcis-14697	68	11	gnn	gnn	PROPN
fcis-14697	68	12	)	)	PUNCT
fcis-14697	68	13	of	of	ADP
fcis-14697	68	14	the	the	DET
fcis-14697	68	15	graph	graph	NOUN
fcis-14697	68	16	structure	structure	NOUN
fcis-14697	68	17	in	in	ADP
fcis-14697	68	18	our	our	PRON
fcis-14697	68	19	model	model	NOUN
fcis-14697	68	20	is	be	AUX
fcis-14697	68	21	implemented	implement	VERB
fcis-14697	68	22	by	by	ADP
fcis-14697	68	23	means	mean	NOUN
fcis-14697	68	24	of	of	ADP
fcis-14697	68	25	message	message	NOUN
fcis-14697	68	26	passing	passing	NOUN
fcis-14697	68	27	,	,	PUNCT
fcis-14697	68	28	and	and	CCONJ
fcis-14697	68	29	the	the	DET
fcis-14697	68	30	multi	multi	ADJ
fcis-14697	68	31	-	-	ADJ
fcis-14697	68	32	layer	layer	ADJ
fcis-14697	68	33	graph	graph	NOUN
fcis-14697	68	34	network	network	NOUN
fcis-14697	68	35	is	be	AUX
fcis-14697	68	36	used	use	VERB
fcis-14697	68	37	to	to	PART
fcis-14697	68	38	complete	complete	VERB
fcis-14697	68	39	the	the	DET
fcis-14697	68	40	point	point	NOUN
fcis-14697	68	41	classification	classification	NOUN
fcis-14697	68	42	task	task	NOUN
fcis-14697	68	43	[	[	X
fcis-14697	68	44	11	11	NUM
fcis-14697	68	45	]	]	PUNCT
fcis-14697	68	46	.	.	PUNCT
fcis-14697	69	1	in	in	ADP
fcis-14697	69	2	order	order	NOUN
fcis-14697	69	3	to	to	PART
fcis-14697	69	4	intuitively	intuitively	ADV
fcis-14697	69	5	understand	understand	VERB
fcis-14697	69	6	graph	graph	NOUN
fcis-14697	69	7	-	-	PUNCT
fcis-14697	69	8	structured	structure	VERB
fcis-14697	69	9	convolutional	convolutional	ADJ
fcis-14697	69	10	neural	neural	ADJ
fcis-14697	69	11	networks	network	NOUN
fcis-14697	69	12	,	,	PUNCT
fcis-14697	69	13	traditional	traditional	ADJ
fcis-14697	69	14	image	image	NOUN
fcis-14697	69	15	convolution	convolution	NOUN
fcis-14697	69	16	superimposes	superimpose	NOUN
fcis-14697	69	17	pixels	pixel	NOUN
fcis-14697	69	18	with	with	ADP
fcis-14697	69	19	different	different	ADJ
fcis-14697	69	20	weights	weight	NOUN
fcis-14697	69	21	around	around	ADP
fcis-14697	69	22	a	a	DET
fcis-14697	69	23	pixel	pixel	NOUN
fcis-14697	69	24	,	,	PUNCT
fcis-14697	69	25	while	while	SCONJ
fcis-14697	69	26	graph	graph	NOUN
fcis-14697	69	27	-	-	PUNCT
fcis-14697	69	28	structured	structure	VERB
fcis-14697	69	29	convolutional	convolutional	ADJ
fcis-14697	69	30	superimposes	superimpose	NOUN
fcis-14697	69	31	neighbors	neighbor	NOUN
fcis-14697	69	32	around	around	ADP
fcis-14697	69	33	a	a	DET
fcis-14697	69	34	node	node	NOUN
fcis-14697	69	35	,	,	PUNCT
fcis-14697	69	36	stacked	stack	VERB
fcis-14697	69	37	together	together	ADV
fcis-14697	69	38	according	accord	VERB
fcis-14697	69	39	to	to	ADP
fcis-14697	69	40	different	different	ADJ
fcis-14697	69	41	weights	weight	NOUN
fcis-14697	69	42	.	.	PUNCT
fcis-14697	70	1	calculation	calculation	NOUN
fcis-14697	70	2	formula	formula	NOUN
fcis-14697	70	3	for	for	ADP
fcis-14697	70	4	graph	graph	NOUN
fcis-14697	70	5	structure	structure	NOUN
fcis-14697	70	6	neural	neural	ADJ
fcis-14697	70	7	network	network	NOUN
fcis-14697	70	8	:	:	PUNCT
fcis-14697	70	9			NOUN
fcis-14697	71	1			SYM
fcis-14697	71	2			NOUN
fcis-14697	71	3			NOUN
fcis-14697	71	4	1	1	NUM
fcis-14697	71	5	1	1	NUM
fcis-14697	71	6	2	2	NUM
fcis-14697	71	7	2	2	NUM
fcis-14697	71	8	(	(	PUNCT
fcis-14697	71	9	1	1	NUM
fcis-14697	71	10	)	)	PUNCT
fcis-14697	71	11	l	l	NOUN
fcis-14697	71	12	llh	llh	PROPN
fcis-14697	71	13	d	d	X
fcis-14697	71	14	ad	ad	NOUN
fcis-14697	71	15	h	h	PROPN
fcis-14697	71	16	w	w	PROPN
fcis-14697	71	17			PROPN
fcis-14697	71	18			PROPN
fcis-14697	71	19			VERB
fcis-14697	71	20			NOUN
fcis-14697	71	21			PROPN
fcis-14697	72	1			PROPN
fcis-14697	72	2			NOUN
fcis-14697	72	3			PROPN
fcis-14697	72	4			PROPN
fcis-14697	72	5			PROPN
fcis-14697	72	6			NOUN
fcis-14697	72	7	(	(	PUNCT
fcis-14697	72	8	1	1	NUM
fcis-14697	72	9	)	)	PUNCT
fcis-14697	72	10	where	where	SCONJ
fcis-14697	72	11	a	a	PRON
fcis-14697	72	12	is	be	AUX
fcis-14697	72	13	the	the	DET
fcis-14697	72	14	adjacency	adjacency	NOUN
fcis-14697	72	15	matrix	matrix	NOUN
fcis-14697	72	16	,	,	PUNCT
fcis-14697	72	17	d	d	NOUN
fcis-14697	72	18	is	be	AUX
fcis-14697	72	19	related	relate	VERB
fcis-14697	72	20	to	to	ADP
fcis-14697	72	21	the	the	DET
fcis-14697	72	22	degree	degree	NOUN
fcis-14697	72	23	matrix	matrix	NOUN
fcis-14697	72	24	,	,	PUNCT
fcis-14697	72	25	and	and	CCONJ
fcis-14697	72	26	h	h	NOUN
fcis-14697	72	27	is	be	AUX
fcis-14697	72	28	the	the	DET
fcis-14697	72	29	node	node	ADJ
fcis-14697	72	30	representation	representation	NOUN
fcis-14697	72	31	of	of	ADP
fcis-14697	72	32	each	each	DET
fcis-14697	72	33	layer	layer	NOUN
fcis-14697	72	34	.	.	PUNCT
fcis-14697	73	1	message	message	NOUN
fcis-14697	73	2	passing	pass	VERB
fcis-14697	73	3	mechanism	mechanism	NOUN
fcis-14697	73	4	:	:	PUNCT
fcis-14697	73	5	message	message	NOUN
fcis-14697	73	6	delivery	delivery	NOUN
fcis-14697	73	7	consists	consist	VERB
fcis-14697	73	8	of	of	ADP
fcis-14697	73	9	two	two	NUM
fcis-14697	73	10	steps	step	NOUN
fcis-14697	73	11	,	,	PUNCT
fcis-14697	73	12	namely	namely	ADV
fcis-14697	73	13	,	,	PUNCT
fcis-14697	73	14	the	the	DET
fcis-14697	73	15	generation	generation	NOUN
fcis-14697	73	16	of	of	ADP
fcis-14697	73	17	features	feature	NOUN
fcis-14697	73	18	from	from	ADP
fcis-14697	73	19	the	the	DET
fcis-14697	73	20	source	source	NOUN
fcis-14697	73	21	node	node	NOUN
fcis-14697	73	22	on	on	ADP
fcis-14697	73	23	the	the	DET
fcis-14697	73	24	edge	edge	NOUN
fcis-14697	73	25	to	to	ADP
fcis-14697	73	26	the	the	DET
fcis-14697	73	27	target	target	NOUN
fcis-14697	73	28	node	node	NOUN
fcis-14697	73	29	,	,	PUNCT
fcis-14697	73	30	and	and	CCONJ
fcis-14697	73	31	the	the	DET
fcis-14697	73	32	aggregation	aggregation	NOUN
fcis-14697	73	33	of	of	ADP
fcis-14697	73	34	the	the	DET
fcis-14697	73	35	received	receive	VERB
fcis-14697	73	36	features	feature	NOUN
fcis-14697	73	37	by	by	ADP
fcis-14697	73	38	the	the	DET
fcis-14697	73	39	target	target	NOUN
fcis-14697	73	40	node	node	NOUN
fcis-14697	73	41	[	[	X
fcis-14697	73	42	12	12	NUM
fcis-14697	73	43	]	]	PUNCT
fcis-14697	73	44	.	.	PUNCT
fcis-14697	74	1	when	when	SCONJ
fcis-14697	74	2	the	the	DET
fcis-14697	74	3	neighbor	neighbor	NOUN
fcis-14697	74	4	node	node	NOUN
fcis-14697	74	5	is	be	AUX
fcis-14697	74	6	adjacent	adjacent	ADJ
fcis-14697	74	7	to	to	ADP
fcis-14697	74	8	a	a	DET
fcis-14697	74	9	large	large	ADJ
fcis-14697	74	10	number	number	NOUN
fcis-14697	74	11	of	of	ADP
fcis-14697	74	12	nodes	node	NOUN
fcis-14697	74	13	,	,	PUNCT
fcis-14697	74	14	the	the	DET
fcis-14697	74	15	importance	importance	NOUN
fcis-14697	74	16	of	of	ADP
fcis-14697	74	17	the	the	DET
fcis-14697	74	18	neighbor	neighbor	NOUN
fcis-14697	74	19	node	node	VERB
fcis-14697	74	20	to	to	ADP
fcis-14697	74	21	the	the	DET
fcis-14697	74	22	target	target	NOUN
fcis-14697	74	23	node	node	NOUN
fcis-14697	74	24	should	should	AUX
fcis-14697	74	25	be	be	AUX
fcis-14697	74	26	smaller	small	ADJ
fcis-14697	74	27	,	,	PUNCT
fcis-14697	74	28	so	so	CCONJ
fcis-14697	74	29	the	the	DET
fcis-14697	74	30	method	method	NOUN
fcis-14697	74	31	of	of	ADP
fcis-14697	74	32	weighting	weight	VERB
fcis-14697	74	33	the	the	DET
fcis-14697	74	34	edge	edge	NOUN
fcis-14697	74	35	is	be	AUX
fcis-14697	74	36	adopted	adopt	VERB
fcis-14697	74	37	.	.	PUNCT
fcis-14697	75	1	the	the	DET
fcis-14697	75	2	attentionbased	attentionbase	VERB
fcis-14697	75	3	weighting	weighting	NOUN
fcis-14697	75	4	and	and	CCONJ
fcis-14697	75	5	feature	feature	NOUN
fcis-14697	75	6	aggregation	aggregation	NOUN
fcis-14697	75	7	formulas	formula	NOUN
fcis-14697	75	8	are	be	AUX
fcis-14697	75	9	as	as	SCONJ
fcis-14697	75	10	follows	follow	VERB
fcis-14697	75	11	:	:	PUNCT
fcis-14697	75	12	the	the	DET
fcis-14697	75	13	attention	attention	NOUN
fcis-14697	75	14	calculation	calculation	NOUN
fcis-14697	75	15	method	method	NOUN
fcis-14697	75	16	is	be	AUX
fcis-14697	75	17	as	as	SCONJ
fcis-14697	75	18	follows	follow	VERB
fcis-14697	75	19	:	:	PUNCT
fcis-14697	75	20	exp	exp	NOUN
fcis-14697	75	21	(	(	PUNCT
fcis-14697	75	22	re	re	X
fcis-14697	75	23	(	(	PUNCT
fcis-14697	75	24	,	,	PUNCT
fcis-14697	75	25	)	)	PUNCT
fcis-14697	75	26	)	)	PUNCT
fcis-14697	75	27	exp	exp	NOUN
fcis-14697	75	28	(	(	PUNCT
fcis-14697	75	29	re	re	X
fcis-14697	75	30	(	(	PUNCT
fcis-14697	75	31	,	,	PUNCT
fcis-14697	75	32	)	)	PUNCT
fcis-14697	75	33	)	)	PUNCT
fcis-14697	76	1	i	i	PRON
fcis-14697	76	2	t	t	VERB
fcis-14697	77	1	i	i	PRON
fcis-14697	77	2	j	j	PROPN
fcis-14697	78	1	ij	ij	INTJ
fcis-14697	78	2	t	t	INTJ
fcis-14697	79	1	i	i	PRON
fcis-14697	79	2	kk	kk	INTJ
fcis-14697	79	3	n	n	PROPN
fcis-14697	79	4	leaky	leaky	ADV
fcis-14697	79	5	lu	lu	VERB
fcis-14697	79	6	a	a	DET
fcis-14697	79	7	w	w	NOUN
fcis-14697	79	8	h	h	NOUN
fcis-14697	79	9	w	w	NOUN
fcis-14697	79	10	h	h	NOUN
fcis-14697	80	1	leaky	leaky	PROPN
fcis-14697	80	2	lu	lu	VERB
fcis-14697	80	3	a	a	DET
fcis-14697	80	4	w	w	NOUN
fcis-14697	80	5	h	h	NOUN
fcis-14697	80	6	w	w	PROPN
fcis-14697	80	7	h	h	NOUN
fcis-14697	80	8			NOUN
fcis-14697	80	9			NOUN
fcis-14697	80	10			NOUN
fcis-14697	80	11			NOUN
fcis-14697	80	12			NOUN
fcis-14697	80	13			NOUN
fcis-14697	80	14			AUX
fcis-14697	81	1			NOUN
fcis-14697	81	2			NUM
fcis-14697	81	3			NOUN
fcis-14697	81	4			NOUN
fcis-14697	81	5			X
fcis-14697	81	6			PRON
fcis-14697	81	7			PROPN
fcis-14697	81	8			NOUN
fcis-14697	81	9			NOUN
fcis-14697	81	10			PROPN
fcis-14697	81	11			PROPN
fcis-14697	81	12			X
fcis-14697	81	13	(	(	PUNCT
fcis-14697	81	14	2	2	NUM
fcis-14697	81	15	)	)	PUNCT
fcis-14697	81	16	where	where	SCONJ
fcis-14697	81	17	"	"	PUNCT
fcis-14697	81	18	,	,	PUNCT
fcis-14697	81	19	"	"	PUNCT
fcis-14697	81	20	represents	represent	VERB
fcis-14697	81	21	the	the	DET
fcis-14697	81	22	connection	connection	NOUN
fcis-14697	81	23	operation	operation	NOUN
fcis-14697	81	24	,	,	PUNCT
fcis-14697	81	25	which	which	DET
fcis-14697	81	26	leakyrelu	leakyrelu	NOUN
fcis-14697	81	27	is	be	AUX
fcis-14697	81	28	the	the	DET
fcis-14697	81	29	activation	activation	NOUN
fcis-14697	81	30	function	function	NOUN
fcis-14697	81	31	.	.	PUNCT
fcis-14697	82	1	feature	feature	NOUN
fcis-14697	82	2	aggregation	aggregation	NOUN
fcis-14697	82	3	calculation	calculation	NOUN
fcis-14697	82	4	method	method	NOUN
fcis-14697	82	5	:	:	PUNCT
fcis-14697	82	6	'	'	PUNCT
fcis-14697	82	7	(	(	PUNCT
fcis-14697	82	8	)	)	PUNCT
fcis-14697	83	1	i	i	PRON
fcis-14697	83	2	i	i	PRON
fcis-14697	84	1	ij	ij	VERB
fcis-14697	84	2	j	j	PROPN
fcis-14697	84	3	j	j	PROPN
fcis-14697	84	4	n	n	NUM
fcis-14697	84	5	h	h	NOUN
fcis-14697	84	6	w	w	PROPN
fcis-14697	84	7	h	h	PROPN
fcis-14697	84	8			X
fcis-14697	84	9			NOUN
fcis-14697	84	10			VERB
fcis-14697	85	1			NOUN
fcis-14697	85	2			NUM
fcis-14697	85	3			X
fcis-14697	85	4	(	(	PUNCT
fcis-14697	85	5	3	3	X
fcis-14697	85	6	)	)	PUNCT
fcis-14697	85	7	where	where	SCONJ
fcis-14697	85	8			PROPN
fcis-14697	85	9	is	be	AUX
fcis-14697	85	10	the	the	DET
fcis-14697	85	11	activation	activation	NOUN
fcis-14697	85	12	function	function	NOUN
fcis-14697	85	13	.	.	PUNCT
fcis-14697	86	1	3.2	3.2	NUM
fcis-14697	86	2	.	.	PUNCT
fcis-14697	87	1	dataset	dataset	NOUN
fcis-14697	87	2	introduction	introduction	NOUN
fcis-14697	87	3	the	the	DET
fcis-14697	87	4	data	datum	NOUN
fcis-14697	87	5	in	in	ADP
fcis-14697	87	6	this	this	DET
fcis-14697	87	7	dataset	dataset	NOUN
fcis-14697	87	8	is	be	AUX
fcis-14697	87	9	obtained	obtain	VERB
fcis-14697	87	10	from	from	ADP
fcis-14697	87	11	classical	classical	ADJ
fcis-14697	87	12	open	open	ADJ
fcis-14697	87	13	68	68	NUM
fcis-14697	87	14	source	source	NOUN
fcis-14697	87	15	models	model	NOUN
fcis-14697	87	16	such	such	ADJ
fcis-14697	87	17	as	as	ADP
fcis-14697	87	18	resnet	resnet	NOUN
fcis-14697	87	19	,	,	PUNCT
fcis-14697	87	20	mask	mask	NOUN
fcis-14697	87	21	r	r	NOUN
fcis-14697	87	22	-	-	PUNCT
fcis-14697	87	23	cnn	cnn	PROPN
fcis-14697	87	24	and	and	CCONJ
fcis-14697	87	25	various	various	ADJ
fcis-14697	87	26	types	type	NOUN
fcis-14697	87	27	of	of	ADP
fcis-14697	87	28	transform	transform	NOUN
fcis-14697	87	29	models	model	NOUN
fcis-14697	87	30	in	in	ADP
fcis-14697	87	31	the	the	DET
fcis-14697	87	32	process	process	NOUN
fcis-14697	87	33	of	of	ADP
fcis-14697	87	34	various	various	ADJ
fcis-14697	87	35	tasks	task	NOUN
fcis-14697	87	36	,	,	PUNCT
fcis-14697	87	37	and	and	CCONJ
fcis-14697	87	38	the	the	DET
fcis-14697	87	39	dataset	dataset	NOUN
fcis-14697	87	40	is	be	AUX
fcis-14697	87	41	further	far	ADV
fcis-14697	87	42	analyzed	analyze	VERB
fcis-14697	87	43	,	,	PUNCT
fcis-14697	87	44	and	and	CCONJ
fcis-14697	87	45	each	each	DET
fcis-14697	87	46	data	datum	NOUN
fcis-14697	87	47	sample	sample	NOUN
fcis-14697	87	48	contains	contain	VERB
fcis-14697	87	49	a	a	DET
fcis-14697	87	50	computational	computational	ADJ
fcis-14697	87	51	graph	graph	NOUN
fcis-14697	87	52	,	,	PUNCT
fcis-14697	87	53	a	a	DET
fcis-14697	87	54	compilation	compilation	NOUN
fcis-14697	87	55	configuration	configuration	NOUN
fcis-14697	87	56	,	,	PUNCT
fcis-14697	87	57	and	and	CCONJ
fcis-14697	87	58	the	the	DET
fcis-14697	87	59	time	time	NOUN
fcis-14697	87	60	to	to	PART
fcis-14697	87	61	run	run	VERB
fcis-14697	87	62	on	on	ADP
fcis-14697	87	63	the	the	DET
fcis-14697	87	64	tpu	tpu	NOUN
fcis-14697	87	65	under	under	ADP
fcis-14697	87	66	the	the	DET
fcis-14697	87	67	configuration	configuration	NOUN
fcis-14697	87	68	.	.	PUNCT
fcis-14697	88	1	the	the	DET
fcis-14697	88	2	tpugraphs	tpugraphs	PROPN
fcis-14697	88	3	dataset	dataset	NOUN
fcis-14697	88	4	can	can	AUX
fcis-14697	88	5	be	be	AUX
fcis-14697	88	6	divided	divide	VERB
fcis-14697	88	7	into	into	ADP
fcis-14697	88	8	5	5	NUM
fcis-14697	88	9	sections	section	NOUN
fcis-14697	88	10	,	,	PUNCT
fcis-14697	88	11	and	and	CCONJ
fcis-14697	88	12	the	the	DET
fcis-14697	88	13	statistics	statistic	NOUN
fcis-14697	88	14	are	be	AUX
fcis-14697	88	15	shown	show	VERB
fcis-14697	88	16	in	in	ADP
fcis-14697	88	17	table	table	NOUN
fcis-14697	88	18	1	1	NUM
fcis-14697	88	19	.	.	PUNCT
fcis-14697	88	20	table	table	NOUN
fcis-14697	88	21	1	1	NUM
fcis-14697	88	22	.	.	PUNCT
fcis-14697	89	1	statistics	statistic	NOUN
fcis-14697	89	2	of	of	ADP
fcis-14697	89	3	tpugraphs	tpugraphs	PROPN
fcis-14697	89	4	collections	collection	NOUN
fcis-14697	89	5	collection	collection	NOUN
fcis-14697	89	6	core	core	NOUN
fcis-14697	89	7	(	(	PUNCT
fcis-14697	89	8	sub)graphs	sub)graphs	PROPN
fcis-14697	89	9	avg.nodes	avg.node	NOUN
fcis-14697	89	10	configs	config	NOUN
fcis-14697	89	11	per	per	ADP
fcis-14697	89	12	graph	graph	NOUN
fcis-14697	89	13	total	total	ADJ
fcis-14697	89	14	graphs	graph	NOUN
fcis-14697	90	1	+	+	PRON
fcis-14697	90	2	configs	config	NOUN
fcis-14697	90	3	samples	sample	NOUN
fcis-14697	90	4	tiles	tile	NOUN
fcis-14697	90	5	6988	6988	NUM
fcis-14697	90	6	40	40	NUM
fcis-14697	90	7	1,842	1,842	NUM
fcis-14697	90	8	12,870,077	12,870,077	NUM
fcis-14697	90	9	12,870,077	12,870,077	NUM
fcis-14697	90	10	layout	layout	NOUN
fcis-14697	90	11	:	:	PUNCT
fcis-14697	90	12	xla	xla	PROPN
fcis-14697	90	13	:	:	PUNCT
fcis-14697	90	14	random	random	ADJ
fcis-14697	90	15	11,648	11,648	NUM
fcis-14697	90	16	908,561	908,561	NUM
fcis-14697	90	17	1,115,709	1,115,709	NUM
fcis-14697	90	18	layout	layout	NOUN
fcis-14697	90	19	:	:	PUNCT
fcis-14697	90	20	xla	xla	PROPN
fcis-14697	90	21	:	:	PUNCT
fcis-14697	90	22	default	default	NOUN
fcis-14697	90	23	78	78	NUM
fcis-14697	90	24	14,105	14,105	NUM
fcis-14697	90	25	10,147	10,147	NUM
fcis-14697	90	26	771,496	771,496	NUM
fcis-14697	90	27	1,272,5381	1,272,5381	NUM
fcis-14697	90	28	layout	layout	NOUN
fcis-14697	90	29	:	:	PUNCT
fcis-14697	90	30	nlp	nlp	ADJ
fcis-14697	90	31	:	:	PUNCT
fcis-14697	90	32	random	random	ADJ
fcis-14697	90	33	66,089	66,089	NUM
fcis-14697	90	34	16,125,781	16,125,781	NUM
fcis-14697	90	35	16,135,731	16,135,731	NUM
fcis-14697	90	36	layout	layout	NOUN
fcis-14697	90	37	:	:	PUNCT
fcis-14697	90	38	nlp	nlp	NOUN
fcis-14697	90	39	:	:	PUNCT
fcis-14697	90	40	default	default	NOUN
fcis-14697	90	41	244	244	NUM
fcis-14697	90	42	5,659	5,659	NUM
fcis-14697	90	43	56,534	56,534	NUM
fcis-14697	90	44	13,285,415	13,285,415	NUM
fcis-14697	90	45	15,479,038	15,479,038	NUM
fcis-14697	90	46	3.3	3.3	NUM
fcis-14697	90	47	.	.	PUNCT
fcis-14697	91	1	data	datum	NOUN
fcis-14697	91	2	analysis	analysis	NOUN
fcis-14697	91	3	and	and	CCONJ
fcis-14697	91	4	preprocessing	preprocesse	VERB
fcis-14697	91	5	we	we	PRON
fcis-14697	91	6	conducted	conduct	VERB
fcis-14697	91	7	a	a	DET
fcis-14697	91	8	thorough	thorough	ADJ
fcis-14697	91	9	analysis	analysis	NOUN
fcis-14697	91	10	of	of	ADP
fcis-14697	91	11	runtime	runtime	NOUN
fcis-14697	91	12	data	datum	NOUN
fcis-14697	91	13	from	from	ADP
fcis-14697	91	14	open	open	ADJ
fcis-14697	91	15	-	-	PUNCT
fcis-14697	91	16	source	source	NOUN
fcis-14697	91	17	machine	machine	NOUN
fcis-14697	91	18	learning	learning	NOUN
fcis-14697	91	19	programs	program	NOUN
fcis-14697	91	20	,	,	PUNCT
fcis-14697	91	21	focusing	focus	VERB
fcis-14697	91	22	on	on	ADP
fcis-14697	91	23	popular	popular	ADJ
fcis-14697	91	24	model	model	NOUN
fcis-14697	91	25	architectures	architecture	NOUN
fcis-14697	91	26	such	such	ADJ
fcis-14697	91	27	as	as	ADP
fcis-14697	91	28	resnet	resnet	NOUN
fcis-14697	91	29	,	,	PUNCT
fcis-14697	91	30	efficientnet	efficientnet	NOUN
fcis-14697	91	31	,	,	PUNCT
fcis-14697	91	32	mask	mask	NOUN
fcis-14697	91	33	rcnn	rcnn	NOUN
fcis-14697	91	34	,	,	PUNCT
fcis-14697	91	35	and	and	CCONJ
fcis-14697	91	36	transformer	transformer	NOUN
fcis-14697	91	37	.	.	PUNCT
fcis-14697	92	1	this	this	DET
fcis-14697	92	2	field	field	NOUN
fcis-14697	92	3	can	can	AUX
fcis-14697	92	4	be	be	AUX
fcis-14697	92	5	seen	see	VERB
fcis-14697	92	6	as	as	ADP
fcis-14697	92	7	the	the	DET
fcis-14697	92	8	target	target	NOUN
fcis-14697	92	9	of	of	ADP
fcis-14697	92	10	the	the	DET
fcis-14697	92	11	regression	regression	NOUN
fcis-14697	92	12	task	task	NOUN
fcis-14697	92	13	if	if	SCONJ
fcis-14697	92	14	you	you	PRON
fcis-14697	92	15	want	want	VERB
fcis-14697	92	16	to	to	PART
fcis-14697	92	17	predict	predict	VERB
fcis-14697	92	18	the	the	DET
fcis-14697	92	19	runtime	runtime	NOUN
fcis-14697	92	20	directly	directly	ADV
fcis-14697	92	21	.	.	PUNCT
fcis-14697	93	1	following	follow	VERB
fcis-14697	93	2	shows	show	VERB
fcis-14697	93	3	the	the	DET
fcis-14697	93	4	distribution	distribution	NOUN
fcis-14697	93	5	of	of	ADP
fcis-14697	93	6	config_runtime	config_runtime	NOUN
fcis-14697	93	7	of	of	ADP
fcis-14697	93	8	the	the	DET
fcis-14697	93	9	demo	demo	NOUN
fcis-14697	93	10	example	example	NOUN
fcis-14697	93	11	.	.	PUNCT
fcis-14697	94	1	as	as	SCONJ
fcis-14697	94	2	can	can	AUX
fcis-14697	94	3	be	be	AUX
fcis-14697	94	4	observed	observe	VERB
fcis-14697	94	5	,	,	PUNCT
fcis-14697	94	6	there	there	PRON
fcis-14697	94	7	seems	seem	VERB
fcis-14697	94	8	to	to	PART
fcis-14697	94	9	exist	exist	VERB
fcis-14697	94	10	multiple	multiple	ADJ
fcis-14697	94	11	modals	modal	NOUN
fcis-14697	94	12	in	in	ADP
fcis-14697	94	13	different	different	ADJ
fcis-14697	94	14	regions	region	NOUN
fcis-14697	94	15	in	in	ADP
fcis-14697	94	16	default	default	NOUN
fcis-14697	94	17	search	search	NOUN
fcis-14697	94	18	strategy	strategy	NOUN
fcis-14697	94	19	.	.	PUNCT
fcis-14697	95	1	(	(	PUNCT
fcis-14697	95	2	a	a	X
fcis-14697	95	3	)	)	PUNCT
fcis-14697	95	4	layout	layout	NOUN
fcis-14697	95	5	:	:	PUNCT
fcis-14697	95	6	nlp	nlp	NOUN
fcis-14697	95	7	:	:	PUNCT
fcis-14697	95	8	defaultopcodes	defaultopcode	NOUN
fcis-14697	95	9	(	(	PUNCT
fcis-14697	95	10	b	b	NOUN
fcis-14697	95	11	)	)	PUNCT
fcis-14697	95	12	layout	layout	NOUN
fcis-14697	95	13	:	:	PUNCT
fcis-14697	95	14	xla	xla	PROPN
fcis-14697	95	15	:	:	PUNCT
fcis-14697	95	16	defaultopcodes	defaultopcode	NOUN
fcis-14697	95	17	(	(	PUNCT
fcis-14697	95	18	c	c	NOUN
fcis-14697	95	19	)	)	PUNCT
fcis-14697	95	20	tile	tile	NOUN
fcis-14697	95	21	-	-	PUNCT
fcis-14697	95	22	opcodes	opcode	NOUN
fcis-14697	95	23	(	(	PUNCT
fcis-14697	95	24	d)layout	d)layout	NOUN
fcis-14697	95	25	:	:	PUNCT
fcis-14697	95	26	nlp	nlp	ADJ
fcis-14697	95	27	:	:	PUNCT
fcis-14697	95	28	defaultruntime	defaultruntime	NOUN
fcis-14697	95	29	(	(	PUNCT
fcis-14697	95	30	e	e	NOUN
fcis-14697	95	31	)	)	PUNCT
fcis-14697	95	32	layout	layout	NOUN
fcis-14697	95	33	:	:	PUNCT
fcis-14697	95	34	xla	xla	PROPN
fcis-14697	95	35	:	:	PUNCT
fcis-14697	95	36	defaultruntime	defaultruntime	NOUN
fcis-14697	95	37	(	(	PUNCT
fcis-14697	95	38	f	f	X
fcis-14697	95	39	)	)	PUNCT
fcis-14697	95	40	tile	tile	NOUN
fcis-14697	95	41	-	-	PUNCT
fcis-14697	95	42	runtime	runtime	NOUN
fcis-14697	95	43	figure	figure	NOUN
fcis-14697	95	44	2	2	NUM
fcis-14697	95	45	.	.	PUNCT
fcis-14697	95	46	dataset	dataset	ADJ
fcis-14697	95	47	exploration	exploration	NOUN
fcis-14697	95	48	for	for	ADP
fcis-14697	95	49	node	node	ADJ
fcis-14697	95	50	opcodes	opcode	NOUN
fcis-14697	95	51	,	,	PUNCT
fcis-14697	95	52	operation	operation	NOUN
fcis-14697	95	53	codes	code	NOUN
fcis-14697	95	54	(	(	PUNCT
fcis-14697	95	55	opcodes	opcode	NOUN
fcis-14697	95	56	)	)	PUNCT
fcis-14697	95	57	span	span	NOUN
fcis-14697	95	58	across	across	ADP
fcis-14697	95	59	a	a	DET
fcis-14697	95	60	wide	wide	ADJ
fcis-14697	95	61	range	range	NOUN
fcis-14697	95	62	from	from	ADP
fcis-14697	95	63	0	0	NUM
fcis-14697	95	64	to	to	ADP
fcis-14697	95	65	100	100	NUM
fcis-14697	95	66	.	.	PUNCT
fcis-14697	96	1	regarding	regard	VERB
fcis-14697	96	2	config	config	PROPN
fcis-14697	96	3	runtime	runtime	NOUN
fcis-14697	96	4	,	,	PUNCT
fcis-14697	96	5	the	the	DET
fcis-14697	96	6	runtime	runtime	NOUN
fcis-14697	96	7	values	value	NOUN
fcis-14697	96	8	are	be	AUX
fcis-14697	96	9	distributed	distribute	VERB
fcis-14697	96	10	between	between	ADP
fcis-14697	96	11	2.15	2.15	NUM
fcis-14697	96	12	×	×	NOUN
fcis-14697	96	13	10	10	NUM
fcis-14697	96	14	^	^	SYM
fcis-14697	96	15	7	7	NUM
fcis-14697	96	16	and	and	CCONJ
fcis-14697	96	17	2.31	2.31	NUM
fcis-14697	96	18	×	×	NOUN
fcis-14697	96	19	10	10	NUM
fcis-14697	96	20	^	^	SYM
fcis-14697	96	21	7	7	NUM
fcis-14697	96	22	.	.	PUNCT
fcis-14697	97	1	although	although	SCONJ
fcis-14697	97	2	there	there	PRON
fcis-14697	97	3	is	be	VERB
fcis-14697	97	4	no	no	DET
fcis-14697	97	5	distinct	distinct	ADJ
fcis-14697	97	6	peak	peak	NOUN
fcis-14697	97	7	,	,	PUNCT
fcis-14697	97	8	the	the	DET
fcis-14697	97	9	data	datum	NOUN
fcis-14697	97	10	exhibits	exhibit	VERB
fcis-14697	97	11	a	a	DET
fcis-14697	97	12	slight	slight	ADJ
fcis-14697	97	13	right	right	NOUN
fcis-14697	97	14	-	-	PUNCT
fcis-14697	97	15	skew	skew	NOUN
fcis-14697	97	16	.	.	PUNCT
fcis-14697	98	1	this	this	DET
fcis-14697	98	2	exploratory	exploratory	ADJ
fcis-14697	98	3	data	datum	NOUN
fcis-14697	98	4	analysis	analysis	NOUN
fcis-14697	98	5	(	(	PUNCT
fcis-14697	98	6	eda	eda	X
fcis-14697	98	7	)	)	PUNCT
fcis-14697	98	8	has	have	AUX
fcis-14697	98	9	unveiled	unveil	VERB
fcis-14697	98	10	the	the	DET
fcis-14697	98	11	fundamental	fundamental	ADJ
fcis-14697	98	12	characteristics	characteristic	NOUN
fcis-14697	98	13	and	and	CCONJ
fcis-14697	98	14	distributions	distribution	NOUN
fcis-14697	98	15	of	of	ADP
fcis-14697	98	16	each	each	DET
fcis-14697	98	17	feature	feature	NOUN
fcis-14697	98	18	and	and	CCONJ
fcis-14697	98	19	the	the	DET
fcis-14697	98	20	target	target	NOUN
fcis-14697	98	21	variable	variable	NOUN
fcis-14697	98	22	.	.	PUNCT
fcis-14697	99	1	3.4	3.4	NUM
fcis-14697	99	2	.	.	PUNCT
fcis-14697	100	1	loss	loss	NOUN
fcis-14697	100	2	function	function	NOUN
fcis-14697	100	3	to	to	PART
fcis-14697	100	4	guide	guide	VERB
fcis-14697	100	5	the	the	DET
fcis-14697	100	6	optimization	optimization	NOUN
fcis-14697	100	7	process	process	NOUN
fcis-14697	100	8	,	,	PUNCT
fcis-14697	100	9	we	we	PRON
fcis-14697	100	10	can	can	AUX
fcis-14697	100	11	train	train	VERB
fcis-14697	100	12	the	the	DET
fcis-14697	100	13	model	model	NOUN
fcis-14697	100	14	using	use	VERB
fcis-14697	100	15	regression	regression	NOUN
fcis-14697	100	16	losses	loss	NOUN
fcis-14697	100	17	(	(	PUNCT
fcis-14697	100	18	e.g.	e.g.	ADV
fcis-14697	100	19	,	,	PUNCT
fcis-14697	100	20	mean	mean	ADJ
fcis-14697	100	21	square	square	ADJ
fcis-14697	100	22	error	error	NOUN
fcis-14697	100	23	(	(	PUNCT
fcis-14697	100	24	mse	mse	NOUN
fcis-14697	100	25	)	)	PUNCT
fcis-14697	100	26	)	)	PUNCT
fcis-14697	100	27	or	or	CCONJ
fcis-14697	100	28	ranking	rank	VERB
fcis-14697	100	29	losses	loss	NOUN
fcis-14697	100	30	(	(	PUNCT
fcis-14697	100	31	e.g.	e.g.	ADV
fcis-14697	100	32	,	,	PUNCT
fcis-14697	100	33	listmle	listmle	NOUN
fcis-14697	100	34	[	[	X
fcis-14697	100	35	13	13	NUM
fcis-14697	100	36	]	]	NUM
fcis-14697	100	37	)	)	PUNCT
fcis-14697	100	38	.	.	PUNCT
fcis-14697	101	1	calculate	calculate	VERB
fcis-14697	101	2	the	the	DET
fcis-14697	101	3	ranking	rank	VERB
fcis-14697	101	4	loss	loss	NOUN
fcis-14697	101	5	between	between	ADP
fcis-14697	101	6	pairs	pair	NOUN
fcis-14697	101	7	of	of	ADP
fcis-14697	101	8	samples	sample	NOUN
fcis-14697	101	9	within	within	ADP
fcis-14697	101	10	the	the	DET
fcis-14697	101	11	same	same	ADJ
fcis-14697	101	12	plot	plot	NOUN
fcis-14697	101	13	in	in	ADP
fcis-14697	101	14	the	the	DET
fcis-14697	101	15	same	same	ADJ
fcis-14697	101	16	batch	batch	NOUN
fcis-14697	101	17	and	and	CCONJ
fcis-14697	101	18	reduce	reduce	VERB
fcis-14697	101	19	the	the	DET
fcis-14697	101	20	loss	loss	NOUN
fcis-14697	101	21	of	of	ADP
fcis-14697	101	22	different	different	ADJ
fcis-14697	101	23	plots	plot	NOUN
fcis-14697	101	24	in	in	ADP
fcis-14697	101	25	the	the	DET
fcis-14697	101	26	batch	batch	NOUN
fcis-14697	101	27	to	to	PART
fcis-14697	101	28	get	get	VERB
fcis-14697	101	29	the	the	DET
fcis-14697	101	30	total	total	ADJ
fcis-14697	101	31	loss	loss	NOUN
fcis-14697	101	32	.	.	PUNCT
fcis-14697	102	1	the	the	DET
fcis-14697	102	2	formula	formula	NOUN
fcis-14697	102	3	for	for	ADP
fcis-14697	102	4	calculating	calculate	VERB
fcis-14697	102	5	mse	mse	NOUN
fcis-14697	102	6	is	be	AUX
fcis-14697	102	7	as	as	SCONJ
fcis-14697	102	8	follows	follow	VERB
fcis-14697	102	9	:	:	PUNCT
fcis-14697	103	1	2	2	NUM
fcis-14697	103	2	1	1	NUM
fcis-14697	103	3	n	n	DET
fcis-14697	103	4	mse	mse	NOUN
fcis-14697	103	5	y	y	PROPN
fcis-14697	103	6	y	y	PROPN
fcis-14697	103	7			PROPN
fcis-14697	103	8			X
fcis-14697	103	9			PROPN
fcis-14697	103	10			PROPN
fcis-14697	104	1			PROPN
fcis-14697	104	2			NOUN
fcis-14697	104	3			X
fcis-14697	104	4	(	(	PUNCT
fcis-14697	104	5	4	4	NUM
fcis-14697	104	6	)	)	PUNCT
fcis-14697	104	7	where	where	SCONJ
fcis-14697	104	8	y	y	PROPN
fcis-14697	104	9	represents	represent	VERB
fcis-14697	104	10	the	the	DET
fcis-14697	104	11	true	true	ADJ
fcis-14697	104	12	labels	label	NOUN
fcis-14697	104	13	,	,	PUNCT
fcis-14697	104	14	yrepresents	yrepresent	NOUN
fcis-14697	104	15	the	the	DET
fcis-14697	104	16	predicted	predict	VERB
fcis-14697	104	17	probabilities	probability	NOUN
fcis-14697	104	18	,	,	PUNCT
fcis-14697	104	19	and	and	CCONJ
fcis-14697	104	20	n	n	PRON
fcis-14697	104	21	is	be	AUX
fcis-14697	104	22	the	the	DET
fcis-14697	104	23	total	total	ADJ
fcis-14697	104	24	number	number	NOUN
fcis-14697	104	25	of	of	ADP
fcis-14697	104	26	samples	sample	NOUN
fcis-14697	104	27	.	.	PUNCT
fcis-14697	105	1	mse	mse	PROPN
fcis-14697	105	2	,	,	PUNCT
fcis-14697	105	3	as	as	ADP
fcis-14697	105	4	a	a	DET
fcis-14697	105	5	regression	regression	NOUN
fcis-14697	105	6	loss	loss	NOUN
fcis-14697	105	7	,	,	PUNCT
fcis-14697	105	8	is	be	AUX
fcis-14697	105	9	not	not	PART
fcis-14697	105	10	a	a	DET
fcis-14697	105	11	good	good	ADJ
fcis-14697	105	12	measure	measure	NOUN
fcis-14697	105	13	of	of	ADP
fcis-14697	105	14	the	the	DET
fcis-14697	105	15	difference	difference	NOUN
fcis-14697	105	16	between	between	ADP
fcis-14697	105	17	the	the	DET
fcis-14697	105	18	predicted	predict	VERB
fcis-14697	105	19	optimal	optimal	ADJ
fcis-14697	105	20	top	top	ADJ
fcis-14697	105	21	k	k	NOUN
fcis-14697	105	22	configuration	configuration	NOUN
fcis-14697	105	23	of	of	ADP
fcis-14697	105	24	the	the	DET
fcis-14697	105	25	model	model	NOUN
fcis-14697	105	26	and	and	CCONJ
fcis-14697	105	27	the	the	DET
fcis-14697	105	28	true	true	ADJ
fcis-14697	105	29	optimal	optimal	ADJ
fcis-14697	105	30	top	top	ADJ
fcis-14697	105	31	k	k	NOUN
fcis-14697	105	32	configuration	configuration	NOUN
fcis-14697	105	33	when	when	SCONJ
fcis-14697	105	34	doing	do	VERB
fcis-14697	105	35	ordered	order	VERB
fcis-14697	105	36	prediction	prediction	NOUN
fcis-14697	105	37	tasks	task	NOUN
fcis-14697	105	38	.	.	PUNCT
fcis-14697	106	1	therefore	therefore	ADV
fcis-14697	106	2	,	,	PUNCT
fcis-14697	106	3	the	the	DET
fcis-14697	106	4	layout	layout	NOUN
fcis-14697	106	5	and	and	CCONJ
fcis-14697	106	6	tile	tile	NOUN
fcis-14697	106	7	models	model	NOUN
fcis-14697	106	8	use	use	VERB
fcis-14697	106	9	the	the	DET
fcis-14697	106	10	listmle	listmle	NOUN
fcis-14697	106	11	loss	loss	NOUN
fcis-14697	106	12	function	function	NOUN
fcis-14697	106	13	,	,	PUNCT
fcis-14697	106	14	and	and	CCONJ
fcis-14697	106	15	the	the	DET
fcis-14697	106	16	listmle	listmle	NOUN
fcis-14697	106	17	is	be	AUX
fcis-14697	106	18	calculated	calculate	VERB
fcis-14697	106	19	as	as	SCONJ
fcis-14697	106	20	follows	follow	VERB
fcis-14697	106	21	:	:	PUNCT
fcis-14697	106	22			PROPN
fcis-14697	106	23			PROPN
fcis-14697	106	24			PROPN
fcis-14697	106	25			NOUN
fcis-14697	106	26			PROPN
fcis-14697	106	27			NOUN
fcis-14697	106	28			X
fcis-14697	107	1			PROPN
fcis-14697	107	2	,	,	PUNCT
fcis-14697	107	3	log	log	VERB
fcis-14697	107	4	|ylistmle	|ylistmle	NOUN
fcis-14697	107	5	y	y	PROPN
fcis-14697	107	6	s	s	PROPN
fcis-14697	107	7	p	p	PROPN
fcis-14697	107	8	s	s	PROPN
fcis-14697	107	9			PROPN
fcis-14697	107	10			NOUN
fcis-14697	107	11	(	(	PUNCT
fcis-14697	107	12	5	5	NUM
fcis-14697	107	13	)	)	PUNCT
fcis-14697	107	14	where	where	SCONJ
fcis-14697	107	15			PROPN
fcis-14697	107	16	|yp	|yp	NOUN
fcis-14697	107	17	s	s	PROPN
fcis-14697	107	18	is	be	AUX
fcis-14697	107	19	the	the	DET
fcis-14697	107	20	plackett	plackett	NOUN
fcis-14697	107	21	-	-	PUNCT
fcis-14697	107	22	luce	luce	NOUN
fcis-14697	107	23	probability	probability	NOUN
fcis-14697	107	24	of	of	ADP
fcis-14697	107	25	permutation	permutation	NOUN
fcis-14697	107	26	y	y	PROPN
fcis-14697	107	27	conditional	conditional	ADJ
fcis-14697	107	28	on	on	ADP
fcis-14697	107	29	fraction	fraction	NOUN
fcis-14697	107	30	s	s	PROPN
fcis-14697	107	31	,	,	PUNCT
fcis-14697	107	32	which	which	PRON
fcis-14697	107	33	randomly	randomly	ADV
fcis-14697	107	34	breaks	break	VERB
fcis-14697	107	35	the	the	DET
fcis-14697	107	36	relationship	relationship	NOUN
fcis-14697	107	37	of	of	ADP
fcis-14697	107	38	the	the	DET
fcis-14697	107	39	number	number	NOUN
fcis-14697	107	40	of	of	ADP
fcis-14697	107	41	items	item	NOUN
fcis-14697	107	42	y	y	PROPN
fcis-14697	107	43	sorted	sort	VERB
fcis-14697	107	44	by	by	ADP
fcis-14697	107	45	correlation	correlation	NOUN
fcis-14697	107	46	labels	label	NOUN
fcis-14697	107	47	.	.	PUNCT
fcis-14697	108	1	3.5	3.5	NUM
fcis-14697	108	2	.	.	PUNCT
fcis-14697	108	3	evaluation	evaluation	NOUN
fcis-14697	108	4	metrics	metric	NOUN
fcis-14697	108	5	for	for	ADP
fcis-14697	108	6	both	both	CCONJ
fcis-14697	108	7	tile	tile	NOUN
fcis-14697	108	8	and	and	CCONJ
fcis-14697	108	9	layout	layout	PROPN
fcis-14697	108	10	data	datum	NOUN
fcis-14697	108	11	,	,	PUNCT
fcis-14697	108	12	we	we	PRON
fcis-14697	108	13	consider	consider	VERB
fcis-14697	108	14	using	use	VERB
fcis-14697	108	15	a	a	DET
fcis-14697	108	16	combination	combination	NOUN
fcis-14697	108	17	of	of	ADP
fcis-14697	108	18	two	two	NUM
fcis-14697	108	19	different	different	ADJ
fcis-14697	108	20	evaluation	evaluation	NOUN
fcis-14697	108	21	metrics	metric	NOUN
fcis-14697	108	22	,	,	PUNCT
fcis-14697	108	23	as	as	SCONJ
fcis-14697	108	24	shown	show	VERB
fcis-14697	108	25	below	below	ADP
fcis-14697	108	26	.	.	PUNCT
fcis-14697	109	1	3.5.1	3.5.1	X
fcis-14697	109	2	.	.	PUNCT
fcis-14697	109	3	tile	tile	NOUN
fcis-14697	109	4	evaluation	evaluation	NOUN
fcis-14697	109	5	for	for	ADP
fcis-14697	109	6	tile	tile	NOUN
fcis-14697	109	7	configuration	configuration	NOUN
fcis-14697	109	8	ranking	ranking	NOUN
fcis-14697	109	9	evaluation	evaluation	NOUN
fcis-14697	109	10	,	,	PUNCT
fcis-14697	109	11	we	we	PRON
fcis-14697	109	12	use	use	VERB
fcis-14697	109	13	ordered	order	VERB
fcis-14697	109	14	pair	pair	NOUN
fcis-14697	109	15	accuracy	accuracy	NOUN
fcis-14697	109	16	(	(	PUNCT
fcis-14697	109	17	opa	opa	NOUN
fcis-14697	109	18	)	)	PUNCT
fcis-14697	110	1	[	[	X
fcis-14697	110	2	14	14	NUM
fcis-14697	110	3	]	]	PUNCT
fcis-14697	110	4	as	as	ADP
fcis-14697	110	5	a	a	DET
fcis-14697	110	6	validation	validation	NOUN
fcis-14697	110	7	metric	metric	NOUN
fcis-14697	110	8	to	to	PART
fcis-14697	110	9	select	select	VERB
fcis-14697	110	10	the	the	DET
fcis-14697	110	11	best	good	ADJ
fcis-14697	110	12	model	model	NOUN
fcis-14697	110	13	checkpoint	checkpoint	NOUN
fcis-14697	110	14	,	,	PUNCT
fcis-14697	110	15	and	and	CCONJ
fcis-14697	110	16	top	top	ADJ
fcis-14697	110	17	-	-	PUNCT
fcis-14697	110	18	k	k	NOUN
fcis-14697	110	19	error	error	NOUN
fcis-14697	110	20	as	as	ADP
fcis-14697	110	21	an	an	DET
fcis-14697	110	22	evaluation	evaluation	NOUN
fcis-14697	110	23	metric	metric	NOUN
fcis-14697	110	24	as	as	SCONJ
fcis-14697	110	25	they	they	PRON
fcis-14697	110	26	evaluate	evaluate	VERB
fcis-14697	110	27	the	the	DET
fcis-14697	110	28	quality	quality	NOUN
fcis-14697	110	29	of	of	ADP
fcis-14697	110	30	ranking	ranking	NOUN
fcis-14697	110	31	.	.	PUNCT
fcis-14697	111	1	we	we	PRON
fcis-14697	111	2	define	define	VERB
fcis-14697	111	3	a	a	DET
fcis-14697	111	4	top	top	ADJ
fcis-14697	111	5	-	-	PUNCT
fcis-14697	111	6	k	k	NOUN
fcis-14697	111	7	error	error	NOUN
fcis-14697	111	8	to	to	PART
fcis-14697	111	9	reflect	reflect	VERB
fcis-14697	111	10	how	how	SCONJ
fcis-14697	111	11	much	much	ADV
fcis-14697	111	12	slower	slow	ADJ
fcis-14697	111	13	the	the	DET
fcis-14697	111	14	top	top	ADJ
fcis-14697	111	15	-	-	PUNCT
fcis-14697	111	16	k	k	NOUN
fcis-14697	111	17	configurations	configuration	NOUN
fcis-14697	111	18	predicted	predict	VERB
fcis-14697	111	19	by	by	ADP
fcis-14697	111	20	the	the	DET
fcis-14697	111	21	model	model	NOUN
fcis-14697	111	22	is	be	AUX
fcis-14697	111	23	from	from	ADP
fcis-14697	111	24	the	the	DET
fcis-14697	111	25	actual	actual	ADJ
fcis-14697	111	26	fastest	fast	ADJ
fcis-14697	111	27	configuration	configuration	NOUN
fcis-14697	111	28	as	as	SCONJ
fcis-14697	111	29	follows	follow	VERB
fcis-14697	111	30	:	:	PUNCT
fcis-14697	111	31	where	where	SCONJ
fcis-14697	111	32	k	k	PROPN
fcis-14697	111	33	is	be	AUX
fcis-14697	111	34	the	the	DET
fcis-14697	111	35	top	top	ADJ
fcis-14697	111	36	-	-	PUNCT
fcis-14697	111	37	k	k	NOUN
fcis-14697	111	38	predictions	prediction	NOUN
fcis-14697	111	39	,	,	PUNCT
fcis-14697	111	40	a	a	PRON
fcis-14697	111	41	is	be	AUX
fcis-14697	111	42	all	all	DET
fcis-14697	111	43	configurations	configuration	NOUN
fcis-14697	111	44	of	of	ADP
fcis-14697	111	45	the	the	DET
fcis-14697	111	46	given	give	VERB
fcis-14697	111	47	graph	graph	NOUN
fcis-14697	111	48	from	from	ADP
fcis-14697	111	49	the	the	DET
fcis-14697	111	50	dataset	dataset	NOUN
fcis-14697	111	51	collection	collection	NOUN
fcis-14697	111	52	,	,	PUNCT
fcis-14697	111	53	and	and	CCONJ
fcis-14697	111	54	y	y	PROPN
fcis-14697	111	55	is	be	AUX
fcis-14697	111	56	the	the	DET
fcis-14697	111	57	measured	measured	ADJ
fcis-14697	111	58	execution	execution	NOUN
fcis-14697	111	59	time	time	NOUN
fcis-14697	111	60	.	.	PUNCT
fcis-14697	112	1	min	min	NOUN
fcis-14697	112	2	1	1	NUM
fcis-14697	112	3	1	1	NUM
fcis-14697	112	4	2	2	NUM
fcis-14697	112	5	min	min	NOUN
fcis-14697	113	1	i	i	NOUN
fcis-14697	113	2	k	k	INTJ
fcis-14697	114	1	i	i	PRON
fcis-14697	114	2	i	i	PRON
fcis-14697	114	3	a	a	VERB
fcis-14697	115	1	i	i	PRON
fcis-14697	115	2	ythebestruntimeof	ythebestruntimeof	X
fcis-14697	115	3	thetop	thetop	VERB
fcis-14697	115	4	kpredictions	kprediction	NOUN
fcis-14697	115	5	thebestruntimeof	thebestruntimeof	PROPN
fcis-14697	115	6	allconfigurations	allconfiguration	NOUN
fcis-14697	115	7	y	y	PROPN
fcis-14697	115	8			PROPN
fcis-14697	115	9			PROPN
fcis-14697	115	10			NOUN
fcis-14697	115	11			VERB
fcis-14697	115	12			PROPN
fcis-14697	115	13			PROPN
fcis-14697	115	14			PROPN
fcis-14697	115	15			PROPN
fcis-14697	115	16			CCONJ
fcis-14697	116	1			PROPN
fcis-14697	116	2			NOUN
fcis-14697	116	3	(	(	PUNCT
fcis-14697	116	4	6	6	NUM
fcis-14697	116	5	)	)	PUNCT
fcis-14697	116	6	3.5.2	3.5.2	NUM
fcis-14697	116	7	.	.	PUNCT
fcis-14697	116	8	layout	layout	NOUN
fcis-14697	116	9	evaluation	evaluation	NOUN
fcis-14697	116	10	for	for	ADP
fcis-14697	116	11	the	the	DET
fcis-14697	116	12	layout	layout	PROPN
fcis-14697	116	13	configuration	configuration	NOUN
fcis-14697	116	14	ranking	ranking	NOUN
fcis-14697	116	15	evaluation	evaluation	NOUN
fcis-14697	116	16	,	,	PUNCT
fcis-14697	116	17	the	the	DET
fcis-14697	116	18	kendall	kendall	PROPN
fcis-14697	116	19	rank	rank	PROPN
fcis-14697	116	20	correlation	correlation	NOUN
fcis-14697	116	21	coefficient	coefficient	NOUN
fcis-14697	116	22	is	be	AUX
fcis-14697	116	23	used	use	VERB
fcis-14697	116	24	,	,	PUNCT
fcis-14697	116	25	that	that	ADV
fcis-14697	116	26	is	is	ADV
fcis-14697	116	27	,	,	PUNCT
fcis-14697	116	28	the	the	DET
fcis-14697	116	29	degree	degree	NOUN
fcis-14697	116	30	to	to	PART
fcis-14697	116	31	which	which	PRON
fcis-14697	116	32	the	the	DET
fcis-14697	116	33	configuration	configuration	NOUN
fcis-14697	116	34	ranking	ranking	NOUN
fcis-14697	116	35	predicted	predict	VERB
fcis-14697	116	36	by	by	ADP
fcis-14697	116	37	the	the	DET
fcis-14697	116	38	model	model	NOUN
fcis-14697	116	39	corresponds	correspond	VERB
fcis-14697	116	40	to	to	ADP
fcis-14697	116	41	the	the	DET
fcis-14697	116	42	actual	actual	ADJ
fcis-14697	116	43	ranking	ranking	NOUN
fcis-14697	116	44	at	at	ADP
fcis-14697	116	45	runtime	runtime	NOUN
fcis-14697	116	46	.	.	PUNCT
fcis-14697	117	1			NOUN
fcis-14697	118	1			PUNCT
fcis-14697	118	2			NOUN
fcis-14697	118	3			SYM
fcis-14697	118	4			NOUN
fcis-14697	118	5			NOUN
fcis-14697	118	6	number	number	NOUN
fcis-14697	118	7	of	of	ADP
fcis-14697	118	8	concordant	concordant	ADJ
fcis-14697	118	9	pairs	pair	NOUN
fcis-14697	118	10	number	number	NOUN
fcis-14697	118	11	of	of	ADP
fcis-14697	118	12	discordant	discordant	ADJ
fcis-14697	118	13	pairs	pair	NOUN
fcis-14697	118	14	number	number	NOUN
fcis-14697	118	15	of	of	ADP
fcis-14697	118	16	pairs	pair	NOUN
fcis-14697	118	17			NOUN
fcis-14697	118	18			NOUN
fcis-14697	118	19			PRON
fcis-14697	118	20	(	(	PUNCT
fcis-14697	118	21	7	7	NUM
fcis-14697	118	22	)	)	SYM
fcis-14697	118	23	4	4	NUM
fcis-14697	118	24	.	.	PUNCT
fcis-14697	119	1	experiment	experiment	NOUN
fcis-14697	119	2	results	result	NOUN
fcis-14697	119	3	observing	observe	VERB
fcis-14697	119	4	the	the	DET
fcis-14697	119	5	above	above	ADJ
fcis-14697	119	6	results	result	NOUN
fcis-14697	119	7	,	,	PUNCT
fcis-14697	119	8	it	it	PRON
fcis-14697	119	9	is	be	AUX
fcis-14697	119	10	found	find	VERB
fcis-14697	119	11	that	that	SCONJ
fcis-14697	119	12	the	the	DET
fcis-14697	119	13	model	model	NOUN
fcis-14697	119	14	has	have	VERB
fcis-14697	119	15	the	the	DET
fcis-14697	119	16	best	good	ADJ
fcis-14697	119	17	effect	effect	NOUN
fcis-14697	119	18	for	for	ADP
fcis-14697	119	19	tile	tile	NOUN
fcis-14697	119	20	training	training	NOUN
fcis-14697	119	21	and	and	CCONJ
fcis-14697	119	22	prediction	prediction	NOUN
fcis-14697	119	23	.	.	PUNCT
fcis-14697	120	1	for	for	ADP
fcis-14697	120	2	layout	layout	PROPN
fcis-14697	120	3	data	datum	NOUN
fcis-14697	120	4	,	,	PUNCT
fcis-14697	120	5	69	69	NUM
fcis-14697	120	6	the	the	DET
fcis-14697	120	7	training	training	NOUN
fcis-14697	120	8	and	and	CCONJ
fcis-14697	120	9	prediction	prediction	NOUN
fcis-14697	120	10	effect	effect	NOUN
fcis-14697	120	11	of	of	ADP
fcis-14697	120	12	random	random	ADJ
fcis-14697	120	13	in	in	ADP
fcis-14697	120	14	nlp	nlp	NOUN
fcis-14697	120	15	is	be	AUX
fcis-14697	120	16	significantly	significantly	ADV
fcis-14697	120	17	greater	great	ADJ
fcis-14697	120	18	than	than	ADP
fcis-14697	120	19	that	that	PRON
fcis-14697	120	20	of	of	ADP
fcis-14697	120	21	other	other	ADJ
fcis-14697	120	22	data	datum	NOUN
fcis-14697	120	23	in	in	ADP
fcis-14697	120	24	layout	layout	NOUN
fcis-14697	120	25	,	,	PUNCT
fcis-14697	120	26	and	and	CCONJ
fcis-14697	120	27	the	the	DET
fcis-14697	120	28	accuracy	accuracy	NOUN
fcis-14697	120	29	rate	rate	NOUN
fcis-14697	120	30	is	be	AUX
fcis-14697	120	31	improved	improve	VERB
fcis-14697	120	32	by	by	ADP
fcis-14697	120	33	about	about	ADP
fcis-14697	120	34	20%~30	20%~30	NUM
fcis-14697	120	35	%	%	NOUN
fcis-14697	120	36	.	.	PUNCT
fcis-14697	121	1	for	for	ADP
fcis-14697	121	2	the	the	DET
fcis-14697	121	3	data	datum	NOUN
fcis-14697	121	4	in	in	ADP
fcis-14697	121	5	the	the	DET
fcis-14697	121	6	third	third	ADJ
fcis-14697	121	7	and	and	CCONJ
fcis-14697	121	8	fourth	fourth	ADJ
fcis-14697	121	9	parts	part	NOUN
fcis-14697	121	10	,	,	PUNCT
fcis-14697	121	11	the	the	DET
fcis-14697	121	12	accuracy	accuracy	NOUN
fcis-14697	121	13	of	of	ADP
fcis-14697	121	14	the	the	DET
fcis-14697	121	15	model	model	NOUN
fcis-14697	121	16	on	on	ADP
fcis-14697	121	17	the	the	DET
fcis-14697	121	18	validation	validation	NOUN
fcis-14697	121	19	set	set	NOUN
fcis-14697	121	20	is	be	AUX
fcis-14697	121	21	higher	high	ADJ
fcis-14697	121	22	than	than	ADP
fcis-14697	121	23	that	that	PRON
fcis-14697	121	24	of	of	ADP
fcis-14697	121	25	the	the	DET
fcis-14697	121	26	training	training	NOUN
fcis-14697	121	27	set	set	NOUN
fcis-14697	121	28	.	.	PUNCT
fcis-14697	122	1	table	table	NOUN
fcis-14697	122	2	2	2	NUM
fcis-14697	122	3	.	.	PUNCT
fcis-14697	122	4	model	model	NOUN
fcis-14697	122	5	results	result	VERB
fcis-14697	122	6	data	data	PROPN
fcis-14697	122	7	accuracy	accuracy	NOUN
fcis-14697	122	8	train	train	NOUN
fcis-14697	122	9	test	test	NOUN
fcis-14697	122	10	tiles	tile	NOUN
fcis-14697	122	11	0.8785	0.8785	NUM
fcis-14697	122	12	0.8622	0.8622	NUM
fcis-14697	122	13	layout	layout	NOUN
fcis-14697	122	14	:	:	PUNCT
fcis-14697	122	15	xla	xla	PROPN
fcis-14697	122	16	:	:	PUNCT
fcis-14697	122	17	random	random	ADJ
fcis-14697	122	18	0.6841	0.6841	NUM
fcis-14697	122	19	0.5285	0.5285	NUM
fcis-14697	122	20	layout	layout	NOUN
fcis-14697	122	21	:	:	PUNCT
fcis-14697	122	22	xla	xla	PROPN
fcis-14697	122	23	:	:	PUNCT
fcis-14697	122	24	default	default	NOUN
fcis-14697	122	25	0.5631	0.5631	NUM
fcis-14697	122	26	0.5887	0.5887	NUM
fcis-14697	122	27	layout	layout	NOUN
fcis-14697	122	28	:	:	PUNCT
fcis-14697	122	29	nlp	nlp	ADJ
fcis-14697	122	30	:	:	PUNCT
fcis-14697	122	31	random	random	ADJ
fcis-14697	122	32	0.8197	0.8197	NUM
fcis-14697	122	33	0.8387	0.8387	NUM
fcis-14697	122	34	layout	layout	NOUN
fcis-14697	122	35	:	:	PUNCT
fcis-14697	122	36	nlp	nlp	NOUN
fcis-14697	122	37	:	:	PUNCT
fcis-14697	122	38	default	default	NOUN
fcis-14697	122	39	0.5036	0.5036	NUM
fcis-14697	122	40	0.4841	0.4841	NUM
fcis-14697	122	41	these	these	DET
fcis-14697	122	42	results	result	NOUN
fcis-14697	122	43	reinforce	reinforce	VERB
fcis-14697	122	44	the	the	DET
fcis-14697	122	45	potential	potential	NOUN
fcis-14697	122	46	of	of	ADP
fcis-14697	122	47	advanced	advanced	ADJ
fcis-14697	122	48	deep	deep	ADJ
fcis-14697	122	49	learning	learning	NOUN
fcis-14697	122	50	techniques	technique	NOUN
fcis-14697	122	51	,	,	PUNCT
fcis-14697	122	52	especially	especially	ADV
fcis-14697	122	53	gnn	gnn	NOUN
fcis-14697	122	54	models	model	NOUN
fcis-14697	122	55	,	,	PUNCT
fcis-14697	122	56	to	to	PART
fcis-14697	122	57	improve	improve	VERB
fcis-14697	122	58	the	the	DET
fcis-14697	122	59	accuracy	accuracy	NOUN
fcis-14697	122	60	of	of	ADP
fcis-14697	122	61	model	model	NOUN
fcis-14697	122	62	runtime	runtime	NOUN
fcis-14697	122	63	predictions	prediction	NOUN
fcis-14697	122	64	.	.	PUNCT
fcis-14697	123	1	gnn	gnn	PROPN
fcis-14697	123	2	's	's	PART
fcis-14697	123	3	ability	ability	NOUN
fcis-14697	123	4	to	to	PART
fcis-14697	123	5	capture	capture	VERB
fcis-14697	123	6	complex	complex	ADJ
fcis-14697	123	7	patterns	pattern	NOUN
fcis-14697	123	8	in	in	ADP
fcis-14697	123	9	high	high	ADJ
fcis-14697	123	10	-	-	PUNCT
fcis-14697	123	11	dimensional	dimensional	ADJ
fcis-14697	123	12	data	datum	NOUN
fcis-14697	123	13	has	have	AUX
fcis-14697	123	14	proven	prove	VERB
fcis-14697	123	15	to	to	PART
fcis-14697	123	16	help	help	VERB
fcis-14697	123	17	achieve	achieve	VERB
fcis-14697	123	18	such	such	ADJ
fcis-14697	123	19	high	high	ADJ
fcis-14697	123	20	prediction	prediction	NOUN
fcis-14697	123	21	accuracy	accuracy	NOUN
fcis-14697	123	22	.	.	PUNCT
fcis-14697	124	1	5	5	X
fcis-14697	124	2	.	.	X
fcis-14697	124	3	conclusion	conclusion	NOUN
fcis-14697	124	4	in	in	ADP
fcis-14697	124	5	the	the	DET
fcis-14697	124	6	pursuit	pursuit	NOUN
fcis-14697	124	7	of	of	ADP
fcis-14697	124	8	determining	determine	VERB
fcis-14697	124	9	the	the	DET
fcis-14697	124	10	optimal	optimal	ADJ
fcis-14697	124	11	compilation	compilation	NOUN
fcis-14697	124	12	configuration	configuration	NOUN
fcis-14697	124	13	for	for	ADP
fcis-14697	124	14	a	a	DET
fcis-14697	124	15	model	model	NOUN
fcis-14697	124	16	,	,	PUNCT
fcis-14697	124	17	this	this	DET
fcis-14697	124	18	study	study	NOUN
fcis-14697	124	19	advocates	advocate	VERB
fcis-14697	124	20	a	a	DET
fcis-14697	124	21	model	model	NOUN
fcis-14697	124	22	architecture	architecture	NOUN
fcis-14697	124	23	founded	found	VERB
fcis-14697	124	24	on	on	ADP
fcis-14697	124	25	a	a	DET
fcis-14697	124	26	graph	graph	NOUN
fcis-14697	124	27	neural	neural	ADJ
fcis-14697	124	28	network	network	NOUN
fcis-14697	124	29	.	.	PUNCT
fcis-14697	125	1	the	the	DET
fcis-14697	125	2	achieved	achieve	VERB
fcis-14697	125	3	test	test	NOUN
fcis-14697	125	4	effect	effect	NOUN
fcis-14697	125	5	on	on	ADP
fcis-14697	125	6	the	the	DET
fcis-14697	125	7	test	test	NOUN
fcis-14697	125	8	set	set	NOUN
fcis-14697	125	9	is	be	AUX
fcis-14697	125	10	noteworthy	noteworthy	ADJ
fcis-14697	125	11	,	,	PUNCT
fcis-14697	125	12	reaching	reach	VERB
fcis-14697	125	13	0.417	0.417	NUM
fcis-14697	125	14	.	.	PUNCT
fcis-14697	126	1	the	the	DET
fcis-14697	126	2	ability	ability	NOUN
fcis-14697	126	3	to	to	PART
fcis-14697	126	4	predict	predict	VERB
fcis-14697	126	5	the	the	DET
fcis-14697	126	6	best	good	ADJ
fcis-14697	126	7	compilation	compilation	NOUN
fcis-14697	126	8	configuration	configuration	NOUN
fcis-14697	126	9	enhances	enhance	VERB
fcis-14697	126	10	the	the	DET
fcis-14697	126	11	efficiency	efficiency	NOUN
fcis-14697	126	12	of	of	ADP
fcis-14697	126	13	ai	ai	ADJ
fcis-14697	126	14	model	model	NOUN
fcis-14697	126	15	execution	execution	NOUN
fcis-14697	126	16	,	,	PUNCT
fcis-14697	126	17	thereby	thereby	ADV
fcis-14697	126	18	mitigating	mitigate	VERB
fcis-14697	126	19	overall	overall	ADJ
fcis-14697	126	20	time	time	NOUN
fcis-14697	126	21	and	and	CCONJ
fcis-14697	126	22	resource	resource	NOUN
fcis-14697	126	23	consumption	consumption	NOUN
fcis-14697	126	24	.	.	PUNCT
fcis-14697	127	1	additionally	additionally	ADV
fcis-14697	127	2	,	,	PUNCT
fcis-14697	127	3	an	an	DET
fcis-14697	127	4	attention	attention	NOUN
fcis-14697	127	5	mechanism	mechanism	NOUN
fcis-14697	127	6	is	be	AUX
fcis-14697	127	7	incorporated	incorporate	VERB
fcis-14697	127	8	to	to	PART
fcis-14697	127	9	assign	assign	VERB
fcis-14697	127	10	weights	weight	NOUN
fcis-14697	127	11	to	to	ADP
fcis-14697	127	12	neighbors	neighbor	NOUN
fcis-14697	127	13	,	,	PUNCT
fcis-14697	127	14	thereby	thereby	ADV
fcis-14697	127	15	enhancing	enhance	VERB
fcis-14697	127	16	the	the	DET
fcis-14697	127	17	model	model	NOUN
fcis-14697	127	18	's	's	PART
fcis-14697	127	19	generalization	generalization	NOUN
fcis-14697	127	20	ability	ability	NOUN
fcis-14697	127	21	and	and	CCONJ
fcis-14697	127	22	overall	overall	ADJ
fcis-14697	127	23	performance	performance	NOUN
fcis-14697	127	24	.	.	PUNCT
fcis-14697	128	1	employing	employ	VERB
fcis-14697	128	2	models	model	NOUN
fcis-14697	128	3	for	for	ADP
fcis-14697	128	4	optimizing	optimize	VERB
fcis-14697	128	5	compiler	compiler	NOUN
fcis-14697	128	6	configurations	configuration	NOUN
fcis-14697	128	7	serves	serve	VERB
fcis-14697	128	8	the	the	DET
fcis-14697	128	9	dual	dual	ADJ
fcis-14697	128	10	purpose	purpose	NOUN
fcis-14697	128	11	of	of	ADP
fcis-14697	128	12	enhancing	enhance	VERB
fcis-14697	128	13	running	running	NOUN
fcis-14697	128	14	speed	speed	NOUN
fcis-14697	128	15	and	and	CCONJ
fcis-14697	128	16	providing	provide	VERB
fcis-14697	128	17	predictive	predictive	ADJ
fcis-14697	128	18	insights	insight	NOUN
fcis-14697	128	19	into	into	ADP
fcis-14697	128	20	each	each	DET
fcis-14697	128	21	model	model	NOUN
fcis-14697	128	22	's	's	PART
fcis-14697	128	23	behavior	behavior	NOUN
fcis-14697	128	24	under	under	ADP
fcis-14697	128	25	optimal	optimal	ADJ
fcis-14697	128	26	compiler	compiler	NOUN
fcis-14697	128	27	configurations	configuration	NOUN
fcis-14697	128	28	.	.	PUNCT
fcis-14697	129	1	this	this	DET
fcis-14697	129	2	comprehensive	comprehensive	ADJ
fcis-14697	129	3	approach	approach	NOUN
fcis-14697	129	4	integrates	integrate	VERB
fcis-14697	129	5	aspects	aspect	NOUN
fcis-14697	129	6	of	of	ADP
fcis-14697	129	7	performance	performance	NOUN
fcis-14697	129	8	optimization	optimization	NOUN
fcis-14697	129	9	,	,	PUNCT
fcis-14697	129	10	machine	machine	NOUN
fcis-14697	129	11	learning	learning	NOUN
fcis-14697	129	12	,	,	PUNCT
fcis-14697	129	13	and	and	CCONJ
fcis-14697	129	14	graph	graph	NOUN
fcis-14697	129	15	data	datum	NOUN
fcis-14697	129	16	processing	processing	NOUN
fcis-14697	129	17	.	.	PUNCT
fcis-14697	130	1	the	the	DET
fcis-14697	130	2	utilization	utilization	NOUN
fcis-14697	130	3	of	of	ADP
fcis-14697	130	4	graph	graph	NOUN
fcis-14697	130	5	neural	neural	ADJ
fcis-14697	130	6	networks	network	NOUN
fcis-14697	130	7	(	(	PUNCT
fcis-14697	130	8	gnns	gnns	NOUN
fcis-14697	130	9	)	)	PUNCT
fcis-14697	130	10	in	in	ADP
fcis-14697	130	11	performance	performance	NOUN
fcis-14697	130	12	optimization	optimization	NOUN
fcis-14697	130	13	extends	extend	VERB
fcis-14697	130	14	to	to	ADP
fcis-14697	130	15	various	various	ADJ
fcis-14697	130	16	domains	domain	NOUN
fcis-14697	130	17	,	,	PUNCT
fcis-14697	130	18	including	include	VERB
fcis-14697	130	19	combinatorial	combinatorial	ADJ
fcis-14697	130	20	optimization	optimization	NOUN
fcis-14697	130	21	,	,	PUNCT
fcis-14697	130	22	such	such	ADJ
fcis-14697	130	23	as	as	ADP
fcis-14697	130	24	the	the	DET
fcis-14697	130	25	google	google	PROPN
fcis-14697	130	26	brain	brain	NOUN
fcis-14697	130	27	team	team	NOUN
fcis-14697	130	28	's	's	PART
fcis-14697	130	29	application	application	NOUN
fcis-14697	130	30	of	of	ADP
fcis-14697	130	31	gnns	gnns	NOUN
fcis-14697	130	32	to	to	PART
fcis-14697	130	33	optimize	optimize	VERB
fcis-14697	130	34	power	power	NOUN
fcis-14697	130	35	,	,	PUNCT
fcis-14697	130	36	area	area	NOUN
fcis-14697	130	37	,	,	PUNCT
fcis-14697	130	38	and	and	CCONJ
fcis-14697	130	39	performance	performance	NOUN
fcis-14697	130	40	in	in	ADP
fcis-14697	130	41	new	new	ADJ
fcis-14697	130	42	hardware	hardware	NOUN
fcis-14697	130	43	chip	chip	NOUN
fcis-14697	130	44	blocks	block	NOUN
fcis-14697	130	45	.	.	PUNCT
fcis-14697	131	1	the	the	DET
fcis-14697	131	2	robust	robust	ADJ
fcis-14697	131	3	learning	learning	NOUN
fcis-14697	131	4	and	and	CCONJ
fcis-14697	131	5	representation	representation	NOUN
fcis-14697	131	6	capabilities	capability	NOUN
fcis-14697	131	7	of	of	ADP
fcis-14697	131	8	gnns	gnns	ADJ
fcis-14697	131	9	position	position	VERB
fcis-14697	131	10	them	they	PRON
fcis-14697	131	11	as	as	ADP
fcis-14697	131	12	valuable	valuable	ADJ
fcis-14697	131	13	tools	tool	NOUN
fcis-14697	131	14	across	across	ADP
fcis-14697	131	15	diverse	diverse	ADJ
fcis-14697	131	16	fields	field	NOUN
fcis-14697	131	17	.	.	PUNCT
fcis-14697	132	1	the	the	DET
fcis-14697	132	2	introduction	introduction	NOUN
fcis-14697	132	3	should	should	AUX
fcis-14697	132	4	provide	provide	VERB
fcis-14697	132	5	background	background	NOUN
fcis-14697	132	6	information	information	NOUN
fcis-14697	132	7	(	(	PUNCT
fcis-14697	132	8	including	include	VERB
fcis-14697	132	9	relevant	relevant	ADJ
fcis-14697	132	10	references	reference	NOUN
fcis-14697	132	11	)	)	PUNCT
fcis-14697	132	12	and	and	CCONJ
fcis-14697	132	13	should	should	AUX
fcis-14697	132	14	indicate	indicate	VERB
fcis-14697	132	15	the	the	DET
fcis-14697	132	16	purpose	purpose	NOUN
fcis-14697	132	17	of	of	ADP
fcis-14697	132	18	the	the	DET
fcis-14697	132	19	manuscript	manuscript	NOUN
fcis-14697	132	20	.	.	PUNCT
fcis-14697	133	1	cite	cite	VERB
fcis-14697	133	2	relevant	relevant	ADJ
fcis-14697	133	3	work	work	NOUN
fcis-14697	133	4	by	by	ADP
fcis-14697	133	5	others	other	NOUN
fcis-14697	133	6	,	,	PUNCT
fcis-14697	133	7	including	include	VERB
fcis-14697	133	8	research	research	NOUN
fcis-14697	133	9	outside	outside	ADP
fcis-14697	133	10	your	your	PRON
fcis-14697	133	11	company	company	NOUN
fcis-14697	133	12	.	.	PUNCT
fcis-14697	134	1	place	place	VERB
fcis-14697	134	2	your	your	PRON
fcis-14697	134	3	work	work	NOUN
fcis-14697	134	4	in	in	ADP
fcis-14697	134	5	perspective	perspective	NOUN
fcis-14697	134	6	by	by	ADP
fcis-14697	134	7	referring	refer	VERB
fcis-14697	134	8	to	to	ADP
fcis-14697	134	9	other	other	ADJ
fcis-14697	134	10	research	research	NOUN
fcis-14697	134	11	papers	paper	NOUN
fcis-14697	134	12	.	.	PUNCT
fcis-14697	135	1	inclusion	inclusion	NOUN
fcis-14697	135	2	of	of	ADP
fcis-14697	135	3	statements	statement	NOUN
fcis-14697	135	4	at	at	ADP
fcis-14697	135	5	the	the	DET
fcis-14697	135	6	end	end	NOUN
fcis-14697	135	7	of	of	ADP
fcis-14697	135	8	the	the	DET
fcis-14697	135	9	introduction	introduction	NOUN
fcis-14697	135	10	regarding	regard	VERB
fcis-14697	135	11	the	the	DET
fcis-14697	135	12	organization	organization	NOUN
fcis-14697	135	13	of	of	ADP
fcis-14697	135	14	the	the	DET
fcis-14697	135	15	manuscript	manuscript	NOUN
fcis-14697	135	16	can	can	AUX
fcis-14697	135	17	be	be	AUX
fcis-14697	135	18	helpful	helpful	ADJ
fcis-14697	135	19	to	to	ADP
fcis-14697	135	20	the	the	DET
fcis-14697	135	21	reader	reader	NOUN
fcis-14697	135	22	.	.	PUNCT
fcis-14697	136	1	in	in	ADP
fcis-14697	136	2	this	this	DET
fcis-14697	136	3	template	template	NOUN
fcis-14697	136	4	,	,	PUNCT
fcis-14697	136	5	the	the	DET
fcis-14697	136	6	“	"	PUNCT
fcis-14697	136	7	styles	style	NOUN
fcis-14697	136	8	”	"	PUNCT
fcis-14697	136	9	menu	menu	NOUN
fcis-14697	136	10	should	should	AUX
fcis-14697	136	11	be	be	AUX
fcis-14697	136	12	used	use	VERB
fcis-14697	136	13	to	to	PART
fcis-14697	136	14	format	format	VERB
fcis-14697	136	15	your	your	PRON
fcis-14697	136	16	text	text	NOUN
fcis-14697	136	17	if	if	SCONJ
fcis-14697	136	18	needed	need	VERB
fcis-14697	136	19	.	.	PUNCT
fcis-14697	137	1	highlight	highlight	VERB
fcis-14697	137	2	the	the	DET
fcis-14697	137	3	text	text	NOUN
fcis-14697	137	4	you	you	PRON
fcis-14697	137	5	want	want	VERB
fcis-14697	137	6	to	to	PART
fcis-14697	137	7	designate	designate	VERB
fcis-14697	137	8	with	with	ADP
fcis-14697	137	9	a	a	DET
fcis-14697	137	10	certain	certain	ADJ
fcis-14697	137	11	style	style	NOUN
fcis-14697	137	12	,	,	PUNCT
fcis-14697	137	13	and	and	CCONJ
fcis-14697	137	14	then	then	ADV
fcis-14697	137	15	select	select	VERB
fcis-14697	137	16	the	the	DET
fcis-14697	137	17	appropriate	appropriate	ADJ
fcis-14697	137	18	name	name	NOUN
fcis-14697	137	19	on	on	ADP
fcis-14697	137	20	the	the	DET
fcis-14697	137	21	style	style	NOUN
fcis-14697	137	22	menu	menu	NOUN
fcis-14697	137	23	.	.	PUNCT
fcis-14697	138	1	the	the	DET
fcis-14697	138	2	style	style	NOUN
fcis-14697	138	3	will	will	AUX
fcis-14697	138	4	adjust	adjust	VERB
fcis-14697	138	5	your	your	PRON
fcis-14697	138	6	fonts	font	NOUN
fcis-14697	138	7	and	and	CCONJ
fcis-14697	138	8	line	line	NOUN
fcis-14697	138	9	spacing	spacing	NOUN
fcis-14697	138	10	.	.	PUNCT
fcis-14697	139	1	use	use	VERB
fcis-14697	139	2	italics	italic	NOUN
fcis-14697	139	3	for	for	ADP
fcis-14697	139	4	emphasis	emphasis	NOUN
fcis-14697	139	5	;	;	PUNCT
fcis-14697	139	6	do	do	AUX
fcis-14697	139	7	not	not	PART
fcis-14697	139	8	underline	underline	VERB
fcis-14697	139	9	as	as	SCONJ
fcis-14697	139	10	shown	show	VERB
fcis-14697	139	11	in	in	ADP
fcis-14697	139	12	table	table	NOUN
fcis-14697	139	13	1	1	NUM
fcis-14697	139	14	.	.	PUNCT
fcis-14697	139	15	references	reference	NOUN
fcis-14697	140	1	[	[	X
fcis-14697	140	2	1	1	NUM
fcis-14697	140	3	]	]	PUNCT
fcis-14697	140	4	gcc.autovectorizationingcc.https://www.gnu.org/software	gcc.autovectorizationingcc.https://www.gnu.org/software	VERB
fcis-14697	140	5	/gcc	/gcc	SYM
fcis-14697	140	6	/	/	SYM
fcis-14697	140	7	projects	project	NOUN
fcis-14697	140	8	/	/	SYM
fcis-14697	140	9	treessa	treessa	ADJ
fcis-14697	140	10	/	/	SYM
fcis-14697	140	11	vectorization.html	vectorization.html	PROPN
fcis-14697	140	12	,	,	PUNCT
fcis-14697	140	13	august	august	PROPN
fcis-14697	140	14	2019	2019	NUM
fcis-14697	140	15	.	.	PUNCT
fcis-14697	141	1	[	[	X
fcis-14697	141	2	online	online	ADV
fcis-14697	141	3	;	;	PUNCT
fcis-14697	141	4	last	last	ADJ
fcis-14697	141	5	modified	modify	VERB
fcis-14697	141	6	18	18	NUM
fcis-14697	141	7	-	-	PUNCT
fcis-14697	141	8	august-2019	august-2019	NOUN
fcis-14697	141	9	]	]	X
fcis-14697	141	10	.	.	PUNCT
fcis-14697	142	1	[	[	X
fcis-14697	142	2	2	2	NUM
fcis-14697	142	3	]	]	X
fcis-14697	142	4	andrew	andrew	PROPN
fcis-14697	142	5	adams	adams	PROPN
fcis-14697	142	6	,	,	PUNCT
fcis-14697	142	7	karima	karima	PROPN
fcis-14697	142	8	ma	ma	PROPN
fcis-14697	142	9	,	,	PUNCT
fcis-14697	142	10	luke	luke	PROPN
fcis-14697	142	11	anderson	anderson	PROPN
fcis-14697	142	12	,	,	PUNCT
fcis-14697	142	13	riyadh	riyadh	PROPN
fcis-14697	142	14	baghdadi	baghdadi	PROPN
fcis-14697	142	15	,	,	PUNCT
fcis-14697	142	16	tzu	tzu	PROPN
fcis-14697	142	17	-	-	PUNCT
fcis-14697	142	18	mao	mao	NOUN
fcis-14697	142	19	li	li	PROPN
fcis-14697	142	20	,	,	PUNCT
fcis-14697	142	21	michaël	michaël	PROPN
fcis-14697	142	22	gharbi	gharbi	PROPN
fcis-14697	142	23	,	,	PUNCT
fcis-14697	142	24	benoit	benoit	NOUN
fcis-14697	142	25	steiner	steiner	PROPN
fcis-14697	142	26	,	,	PUNCT
fcis-14697	142	27	steven	steven	PROPN
fcis-14697	142	28	johnson	johnson	PROPN
fcis-14697	142	29	,	,	PUNCT
fcis-14697	142	30	kayvon	kayvon	PROPN
fcis-14697	142	31	fatahalian	fatahalian	PROPN
fcis-14697	142	32	,	,	PUNCT
fcis-14697	142	33	frédo	frédo	NOUN
fcis-14697	142	34	durand	durand	NOUN
fcis-14697	142	35	,	,	PUNCT
fcis-14697	142	36	and	and	CCONJ
fcis-14697	142	37	jonathan	jonathan	PROPN
fcis-14697	142	38	ragan	ragan	PROPN
fcis-14697	142	39	-	-	PUNCT
fcis-14697	142	40	kelley	kelley	NOUN
fcis-14697	142	41	.	.	PUNCT
fcis-14697	143	1	learning	learn	VERB
fcis-14697	143	2	to	to	PART
fcis-14697	143	3	optimize	optimize	VERB
fcis-14697	143	4	halide	halide	NOUN
fcis-14697	143	5	with	with	ADP
fcis-14697	143	6	tree	tree	NOUN
fcis-14697	143	7	search	search	NOUN
fcis-14697	143	8	and	and	CCONJ
fcis-14697	143	9	random	random	ADJ
fcis-14697	143	10	programs	program	NOUN
fcis-14697	143	11	.	.	PUNCT
fcis-14697	144	1	acm	acm	PROPN
fcis-14697	144	2	trans	trans	PROPN
fcis-14697	144	3	.	.	PUNCT
fcis-14697	144	4	graph	graph	NOUN
fcis-14697	144	5	.	.	PUNCT
fcis-14697	144	6	,38(4):121:1	,38(4):121:1	PUNCT
fcis-14697	144	7	–	–	PUNCT
fcis-14697	144	8	121:12	121:12	NUM
fcis-14697	144	9	,	,	PUNCT
fcis-14697	144	10	july	july	PROPN
fcis-14697	144	11	2019	2019	NUM
fcis-14697	144	12	.	.	PUNCT
fcis-14697	145	1	[	[	X
fcis-14697	145	2	3	3	X
fcis-14697	145	3	]	]	X
fcis-14697	145	4	phitchaya	phitchaya	NOUN
fcis-14697	145	5	mangpo	mangpo	NOUN
fcis-14697	145	6	phothilimthana	phothilimthana	PROPN
fcis-14697	145	7	,	,	PUNCT
fcis-14697	145	8	sami	sami	PROPN
fcis-14697	145	9	abu	abu	PROPN
fcis-14697	145	10	-	-	PUNCT
fcis-14697	145	11	el	el	PROPN
fcis-14697	145	12	-	-	PUNCT
fcis-14697	145	13	haija	haija	NOUN
fcis-14697	145	14	,	,	PUNCT
fcis-14697	145	15	kaidi	kaidi	PROPN
fcis-14697	145	16	cao	cao	PROPN
fcis-14697	145	17	,	,	PUNCT
fcis-14697	145	18	bahare	bahare	ADJ
fcis-14697	145	19	fatemi	fatemi	PROPN
fcis-14697	145	20	,	,	PUNCT
fcis-14697	145	21	c	c	PROPN
fcis-14697	145	22	harith	harith	PROPN
fcis-14697	145	23	mendis	mendi	NOUN
fcis-14697	145	24	,	,	PUNCT
fcis-14697	145	25	bryan	bryan	PROPN
fcis-14697	145	26	perozzi	perozzi	PROPN
fcis-14697	145	27	:	:	PUNCT
fcis-14697	145	28	“	"	PUNCT
fcis-14697	145	29	tpugraphs	tpugraph	NOUN
fcis-14697	145	30	:	:	PUNCT
fcis-14697	145	31	a	a	DET
fcis-14697	145	32	performance	performance	NOUN
fcis-14697	145	33	prediction	prediction	NOUN
fcis-14697	145	34	dataset	dataset	VERB
fcis-14697	145	35	on	on	ADP
fcis-14697	145	36	large	large	ADJ
fcis-14697	145	37	tensor	tensor	NOUN
fcis-14697	145	38	computational	computational	ADJ
fcis-14697	145	39	graphs	graph	NOUN
fcis-14697	145	40	”	"	PUNCT
fcis-14697	145	41	,	,	PUNCT
fcis-14697	145	42	2023	2023	NUM
fcis-14697	145	43	;	;	PUNCT
fcis-14697	146	1	[	[	X
fcis-14697	146	2	http://arxiv.org/	http://arxiv.org/	PRON
fcis-14697	146	3	abs/	abs/	ADJ
fcis-14697	146	4	2308	2308	NUM
fcis-14697	146	5	.	.	PUNCT
fcis-14697	146	6	13490	13490	NUM
fcis-14697	146	7	arxiv:2308.13490	arxiv:2308.13490	X
fcis-14697	146	8	]	]	PUNCT
fcis-14697	146	9	.	.	PUNCT
fcis-14697	147	1	[	[	X
fcis-14697	147	2	4	4	NUM
fcis-14697	147	3	]	]	X
fcis-14697	147	4	charith	charith	NOUN
fcis-14697	147	5	mendis	mendi	NOUN
fcis-14697	147	6	,	,	PUNCT
fcis-14697	147	7	alex	alex	PROPN
fcis-14697	147	8	renda	renda	PROPN
fcis-14697	147	9	,	,	PUNCT
fcis-14697	147	10	saman	saman	PROPN
fcis-14697	147	11	p.	p.	PROPN
fcis-14697	147	12	amarasinghe	amarasinghe	PROPN
fcis-14697	147	13	,	,	PUNCT
fcis-14697	147	14	and	and	CCONJ
fcis-14697	147	15	michael	michael	PROPN
fcis-14697	147	16	carbin	carbin	PROPN
fcis-14697	147	17	.	.	PUNCT
fcis-14697	148	1	ithemal	ithemal	PROPN
fcis-14697	148	2	:	:	PUNCT
fcis-14697	148	3	accurate	accurate	ADJ
fcis-14697	148	4	,	,	PUNCT
fcis-14697	148	5	portable	portable	ADJ
fcis-14697	148	6	and	and	CCONJ
fcis-14697	148	7	fast	fast	ADJ
fcis-14697	148	8	basic	basic	ADJ
fcis-14697	148	9	block	block	NOUN
fcis-14697	148	10	throughput	throughput	NOUN
fcis-14697	148	11	estimation	estimation	NOUN
fcis-14697	148	12	using	use	VERB
fcis-14697	148	13	deep	deep	ADJ
fcis-14697	148	14	neural	neural	ADJ
fcis-14697	148	15	networks	network	NOUN
fcis-14697	148	16	.	.	PUNCT
fcis-14697	149	1	in	in	ADP
fcis-14697	149	2	proceedings	proceeding	NOUN
fcis-14697	149	3	of	of	ADP
fcis-14697	149	4	the	the	DET
fcis-14697	149	5	36th	36th	ADJ
fcis-14697	149	6	international	international	ADJ
fcis-14697	149	7	conference	conference	NOUN
fcis-14697	149	8	on	on	ADP
fcis-14697	149	9	machine	machine	NOUN
fcis-14697	149	10	learning	learning	NOUN
fcis-14697	149	11	,	,	PUNCT
fcis-14697	149	12	icml	icml	NOUN
fcis-14697	149	13	,	,	PUNCT
fcis-14697	149	14	2019	2019	NUM
fcis-14697	149	15	.	.	PUNCT
fcis-14697	150	1	[	[	X
fcis-14697	150	2	5	5	X
fcis-14697	150	3	]	]	PUNCT
fcis-14697	150	4	christophe	christophe	PROPN
fcis-14697	150	5	dubach	dubach	PROPN
fcis-14697	150	6	,	,	PUNCT
fcis-14697	150	7	john	john	PROPN
fcis-14697	150	8	cavazos	cavazos	PROPN
fcis-14697	150	9	,	,	PUNCT
fcis-14697	150	10	björn	björn	PROPN
fcis-14697	150	11	franke	franke	PROPN
fcis-14697	150	12	,	,	PUNCT
fcis-14697	150	13	grigori	grigori	PROPN
fcis-14697	150	14	fursin	fursin	PROPN
fcis-14697	150	15	,	,	PUNCT
fcis-14697	150	16	michael	michael	PROPN
fcis-14697	150	17	f.p	f.p	PROPN
fcis-14697	150	18	.	.	PROPN
fcis-14697	150	19	o’boyle	o’boyle	PROPN
fcis-14697	150	20	,	,	PUNCT
fcis-14697	150	21	and	and	CCONJ
fcis-14697	150	22	olivier	olivier	PROPN
fcis-14697	150	23	temam	temam	NOUN
fcis-14697	150	24	.	.	PUNCT
fcis-14697	151	1	fast	fast	ADJ
fcis-14697	151	2	compiler	compiler	NOUN
fcis-14697	151	3	optimisation	optimisation	NOUN
fcis-14697	151	4	evaluation	evaluation	NOUN
fcis-14697	151	5	using	use	VERB
fcis-14697	151	6	code	code	NOUN
fcis-14697	151	7	-	-	PUNCT
fcis-14697	151	8	feature	feature	NOUN
fcis-14697	151	9	based	base	VERB
fcis-14697	151	10	performance	performance	NOUN
fcis-14697	151	11	prediction	prediction	NOUN
fcis-14697	151	12	.	.	PUNCT
fcis-14697	152	1	in	in	ADP
fcis-14697	152	2	proceedings	proceeding	NOUN
fcis-14697	152	3	of	of	ADP
fcis-14697	152	4	the	the	DET
fcis-14697	152	5	4th	4th	ADJ
fcis-14697	152	6	international	international	ADJ
fcis-14697	152	7	conference	conference	NOUN
fcis-14697	152	8	on	on	ADP
fcis-14697	152	9	computing	compute	VERB
fcis-14697	152	10	frontiers	frontier	NOUN
fcis-14697	152	11	,	,	PUNCT
fcis-14697	152	12	cf’07	cf’07	PROPN
fcis-14697	152	13	,	,	PUNCT
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fcis-14697	152	15	.	.	PUNCT
fcis-14697	153	1	[	[	X
fcis-14697	153	2	6	6	NUM
fcis-14697	153	3	]	]	PUNCT
fcis-14697	153	4	thomas	thomas	PROPN
fcis-14697	153	5	elsken	elsken	PROPN
fcis-14697	153	6	,	,	PUNCT
fcis-14697	153	7	jan	jan	PROPN
fcis-14697	153	8	hendrik	hendrik	PROPN
fcis-14697	153	9	metzen	metzen	PROPN
fcis-14697	153	10	,	,	PUNCT
fcis-14697	153	11	and	and	CCONJ
fcis-14697	153	12	frank	frank	PROPN
fcis-14697	153	13	hutter	hutter	NOUN
fcis-14697	153	14	.	.	PUNCT
fcis-14697	154	1	efficient	efficient	ADJ
fcis-14697	154	2	multi	multi	ADJ
fcis-14697	154	3	-	-	ADJ
fcis-14697	154	4	objective	objective	ADJ
fcis-14697	154	5	neural	neural	ADJ
fcis-14697	154	6	architecture	architecture	NOUN
fcis-14697	154	7	search	search	NOUN
fcis-14697	154	8	via	via	ADP
fcis-14697	154	9	lamarckian	lamarckian	ADJ
fcis-14697	154	10	evolution	evolution	NOUN
fcis-14697	154	11	.	.	PUNCT
fcis-14697	155	1	arxiv	arxiv	PROPN
fcis-14697	155	2	e	e	PROPN
fcis-14697	155	3	-	-	NOUN
fcis-14697	155	4	prints	print	NOUN
fcis-14697	155	5	,	,	PUNCT
fcis-14697	155	6	page	page	NOUN
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fcis-14697	155	8	,	,	PUNCT
fcis-14697	155	9	apr2018	apr2018	PROPN
fcis-14697	155	10	.	.	PUNCT
fcis-14697	156	1	[	[	X
fcis-14697	156	2	7	7	X
fcis-14697	156	3	]	]	X
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fcis-14697	156	6	,	,	PUNCT
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fcis-14697	156	9	,	,	PUNCT
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fcis-14697	156	12	,	,	PUNCT
fcis-14697	156	13	ziheng	ziheng	PROPN
fcis-14697	156	14	jiang	jiang	PROPN
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fcis-14697	157	1	learning	learn	VERB
fcis-14697	157	2	to	to	PART
fcis-14697	157	3	optimize	optimize	VERB
fcis-14697	157	4	tensor	tensor	NOUN
fcis-14697	157	5	programs	program	NOUN
fcis-14697	157	6	.	.	PUNCT
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fcis-14697	158	2	proceedings	proceeding	NOUN
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fcis-14697	158	4	the	the	DET
fcis-14697	158	5	32nd	32nd	ADJ
fcis-14697	158	6	international	international	ADJ
fcis-14697	158	7	conference	conference	NOUN
fcis-14697	158	8	on	on	ADP
fcis-14697	158	9	neural	neural	ADJ
fcis-14697	158	10	information	information	NOUN
fcis-14697	158	11	processing	processing	NOUN
fcis-14697	158	12	systems	system	NOUN
fcis-14697	158	13	,	,	PUNCT
fcis-14697	158	14	nips’18	nips’18	PROPN
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fcis-14697	158	17	.	.	PUNCT
fcis-14697	159	1	[	[	X
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fcis-14697	159	5	,	,	PUNCT
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fcis-14697	159	7	,	,	PUNCT
fcis-14697	159	8	hu	hu	PROPN
fcis-14697	159	9	,	,	PUNCT
fcis-14697	159	10	h.	h.	PROPN
fcis-14697	159	11	,	,	PUNCT
fcis-14697	159	12	zhao	zhao	PROPN
fcis-14697	159	13	,	,	PUNCT
fcis-14697	159	14	x.	x.	PROPN
fcis-14697	159	15	,	,	PUNCT
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fcis-14697	159	17	,	,	PUNCT
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fcis-14697	159	19	,	,	PUNCT
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fcis-14697	159	22	,	,	PUNCT
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fcis-14697	159	27	.	.	PUNCT
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fcis-14697	160	3	document	document	NOUN
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fcis-14697	160	8	forest	forest	NOUN
fcis-14697	160	9	.	.	PUNCT
fcis-14697	161	1	academic	academic	ADJ
fcis-14697	161	2	journal	journal	NOUN
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fcis-14697	161	4	science	science	NOUN
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fcis-14697	161	7	,	,	PUNCT
fcis-14697	161	8	8(1	8(1	NOUN
fcis-14697	161	9	)	)	PUNCT
fcis-14697	161	10	,	,	PUNCT
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fcis-14697	161	12	.	.	PUNCT
fcis-14697	162	1	[	[	X
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fcis-14697	162	9	,	,	PUNCT
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fcis-14697	162	13	,	,	PUNCT
fcis-14697	162	14	h.	h.	PROPN
fcis-14697	162	15	,	,	PUNCT
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fcis-14697	162	17	,	,	PUNCT
fcis-14697	162	18	x.	x.	PROPN
fcis-14697	162	19	,	,	PUNCT
fcis-14697	162	20	&	&	CCONJ
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fcis-14697	162	22	,	,	PUNCT
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fcis-14697	162	25	2023	2023	NUM
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fcis-14697	162	27	.	.	PUNCT
fcis-14697	163	1	a	a	DET
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fcis-14697	163	5	early	early	PROPN
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fcis-14697	163	9	detection	detection	NOUN
fcis-14697	163	10	through	through	ADP
fcis-14697	163	11	advanced	advanced	ADJ
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fcis-14697	163	13	learning	learn	VERB
fcis-14697	163	14	techniques	technique	NOUN
fcis-14697	163	15	on	on	ADP
fcis-14697	163	16	mri	mri	NOUN
fcis-14697	163	17	data	datum	NOUN
fcis-14697	163	18	.	.	PUNCT
fcis-14697	164	1	academic	academic	ADJ
fcis-14697	164	2	journal	journal	NOUN
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fcis-14697	164	4	science	science	NOUN
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fcis-14697	164	7	,	,	PUNCT
fcis-14697	164	8	8(1	8(1	NOUN
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fcis-14697	164	12	.	.	PUNCT
fcis-14697	165	1	[	[	X
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fcis-14697	165	17	,	,	PUNCT
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fcis-14697	165	23	,	,	PUNCT
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fcis-14697	165	27	.	.	PUNCT
fcis-14697	166	1	a	a	DET
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fcis-14697	166	8	units	unit	NOUN
fcis-14697	166	9	.	.	PUNCT
fcis-14697	167	1	in	in	ADP
fcis-14697	167	2	proceedings	proceeding	NOUN
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fcis-14697	167	4	machine	machine	NOUN
fcis-14697	167	5	learning	learning	NOUN
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fcis-14697	167	7	systems	system	NOUN
fcis-14697	167	8	,	,	PUNCT
fcis-14697	167	9	2021	2021	NUM
fcis-14697	167	10	.	.	PUNCT
fcis-14697	168	1	[	[	X
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fcis-14697	170	9	,	,	PUNCT
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fcis-14697	170	13	.	.	PUNCT
fcis-14697	171	1	[	[	X
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fcis-14697	171	17	graphs[c]//advances	graphs[c]//advances	PROPN
fcis-14697	171	18	in	in	ADP
fcis-14697	171	19	neural	neural	ADJ
fcis-14697	171	20	information	information	NOUN
fcis-14697	171	21	processing	processing	NOUN
fcis-14697	171	22	systems	system	NOUN
fcis-14697	171	23	.	.	PUNCT
fcis-14697	172	1	2017	2017	NUM
fcis-14697	172	2	:	:	PUNCT
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fcis-14697	172	4	-	-	SYM
fcis-14697	172	5	1034	1034	NUM
fcis-14697	172	6	[	[	X
fcis-14697	172	7	13	13	NUM
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fcis-14697	173	1	"	"	PUNCT
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fcis-14697	174	12	(	(	PUNCT
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fcis-14697	175	2	-	-	SYM
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fcis-14697	177	1	[	[	X
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fcis-14697	179	11	,	,	PUNCT
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fcis-14697	179	15	-	-	SYM
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