{"id":"https://openalex.org/W4318686642","doi":"https://doi.org/10.1145/3566097.3567869","title":"NTGAT","display_name":"NTGAT","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318686642","doi":"https://doi.org/10.1145/3566097.3567869"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3567869","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3566097.3567869","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3566097.3567869","source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3566097.3567869","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031432325","display_name":"Wentao Hou","orcid":"https://orcid.org/0000-0001-5665-9478"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Hou","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518558","display_name":"Kai Zhong","orcid":"https://orcid.org/0000-0002-8448-9530"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhong","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026831784","display_name":"Shulin Zeng","orcid":"https://orcid.org/0000-0002-1030-3748"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Zeng","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015946486","display_name":"Guohao Dai","orcid":"https://orcid.org/0000-0003-0849-3252"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohao Dai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103867707","display_name":"Huazhong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445079","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-6908-508X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031432325"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2177,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.33762887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"645","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8602003455162048},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6719996929168701},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5190252065658569},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.49519553780555725},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4863170087337494},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.47756463289260864},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4732131361961365},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.46409741044044495},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43781647086143494},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3212318420410156},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.299790620803833},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2869606614112854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20308509469032288},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14236539602279663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8602003455162048},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6719996929168701},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5190252065658569},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.49519553780555725},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4863170087337494},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.47756463289260864},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4732131361961365},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.46409741044044495},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43781647086143494},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3212318420410156},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.299790620803833},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2869606614112854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20308509469032288},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14236539602279663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3567869","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3566097.3567869","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3566097.3567869","source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3566097.3567869","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3566097.3567869","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3566097.3567869","source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1799421016","display_name":null,"funder_award_id":"61832007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2390919443","display_name":null,"funder_award_id":"2019YFF0301500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G595567771","display_name":null,"funder_award_id":"62104128, U21B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6803541034","display_name":null,"funder_award_id":"U21B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6839492696","display_name":null,"funder_award_id":"U19B2019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8262591375","display_name":null,"funder_award_id":"62104128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8672407290","display_name":null,"funder_award_id":"U19B2019, U21B2031, 61832007, 62104128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318686642.pdf","grobid_xml":"https://content.openalex.org/works/W4318686642.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W3017228913","https://openalex.org/W3047846843","https://openalex.org/W3086821706","https://openalex.org/W3129651170","https://openalex.org/W3132695675","https://openalex.org/W3172512547","https://openalex.org/W3210895150"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2532502681","https://openalex.org/W2518118925","https://openalex.org/W3159273459","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044","https://openalex.org/W3159906349"],"abstract_inverted_index":{"Graph":[0,14],"Attention":[1],"Network":[2],"(GAT)":[3],"has":[4,35],"demonstrated":[5],"better":[6],"performance":[7],"in":[8,46],"many":[9],"graph":[10,21,49],"tasks":[11],"than":[12],"previous":[13,58],"Neural":[15],"Networks":[16],"(GNN).":[17],"However,":[18],"it":[19,75],"involves":[20],"attention":[22,44,50],"operations":[23],"with":[24,94],"extra":[25],"computing":[26],"complexity.":[27],"While":[28],"a":[29,87,102,113,118],"large":[30],"amount":[31],"of":[32,71,138],"existing":[33],"literature":[34],"researched":[36],"GNN":[37,59],"acceleration,":[38],"few":[39],"have":[40],"focused":[41],"on":[42],"the":[43,53,69,79,148,164],"mechanism":[45,51],"GAT.":[47],"The":[48,127],"makes":[52,74],"computation":[54],"flow":[55],"different.":[56],"Therefore,":[57],"accelerators":[60],"can":[61,133,152],"not":[62],"support":[63,122],"GAT":[64,67,93],"well.":[65],"Besides,":[66],"distinguishes":[68],"importance":[70],"neighbors":[72],"and":[73,107,117,158],"possible":[76],"to":[77,91,121,136,155,163],"reduce":[78,134],"workload":[80,140],"through":[81],"runtime":[82,95,103],"tailoring.":[83,97],"We":[84,111],"present":[85],"NTGAT,":[86],"software-hardware":[88],"co-design":[89],"approach":[90],"accelerate":[92],"node":[96,104,123],"Our":[98],"work":[99],"comprises":[100],"both":[101],"tailoring":[105,124],"algorithm":[106,132],"an":[108],"accelerator":[109,151],"design.":[110],"propose":[112],"pipeline":[114],"sorting":[115],"method":[116],"hardware":[119],"unit":[120],"during":[125],"inference.":[126],"experiments":[128],"show":[129],"that":[130],"our":[131],"up":[135,154],"86%":[137],"aggregation":[139],"while":[141],"incurring":[142],"slight":[143],"accuracy":[144],"loss":[145],"(<0.4%).":[146],"And":[147],"FPGA":[149],"based":[150],"achieve":[153],"3.8\u00d7":[156],"speedup":[157],"4.98\u00d7":[159],"energy":[160],"efficiency":[161],"comparing":[162],"GPU":[165],"baseline.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2023-02-01T00:00:00"}