{"id":"https://openalex.org/W4318685693","doi":"https://doi.org/10.1145/3566097.3567904","title":"Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis","display_name":"Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318685693","doi":"https://doi.org/10.1145/3566097.3567904"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3567904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567904","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053598579","display_name":"Yuyang Ye","orcid":"https://orcid.org/0000-0002-0726-0468"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuyang Ye","raw_affiliation_strings":["Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022945347","display_name":"Tinghuan Chen","orcid":"https://orcid.org/0000-0002-9195-6619"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tinghuan Chen","raw_affiliation_strings":["Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114804187","display_name":"Yifei Gao","orcid":"https://orcid.org/0009-0006-0436-5930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifei Gao","raw_affiliation_strings":["Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652901","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-4322-7323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051340429","display_name":"Bei Yu","orcid":"https://orcid.org/0000-0001-6406-4810"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Yu","raw_affiliation_strings":["Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101499715","display_name":"Longxing Shi","orcid":"https://orcid.org/0000-0002-0629-7154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longxing Shi","raw_affiliation_strings":["Southeast University"],"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053598579"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5472,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98550725,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9721999764442444,"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":0.7385913729667664},{"id":"https://openalex.org/keywords/static-timing-analysis","display_name":"Static timing analysis","score":0.7345584034919739},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5983614921569824},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5655977725982666},{"id":"https://openalex.org/keywords/path-analysis","display_name":"Path analysis (statistics)","score":0.5615721940994263},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4707663059234619},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.46528807282447815},{"id":"https://openalex.org/keywords/pessimism","display_name":"Pessimism","score":0.45059120655059814},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.31787461042404175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18693619966506958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1741039752960205},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11928200721740723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385913729667664},{"id":"https://openalex.org/C93682380","wikidata":"https://www.wikidata.org/wiki/Q2025226","display_name":"Static timing analysis","level":2,"score":0.7345584034919739},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5983614921569824},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5655977725982666},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.5615721940994263},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4707663059234619},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.46528807282447815},{"id":"https://openalex.org/C9992130","wikidata":"https://www.wikidata.org/wiki/Q484954","display_name":"Pessimism","level":2,"score":0.45059120655059814},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.31787461042404175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18693619966506958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1741039752960205},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11928200721740723},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3567904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567904","pdf_url":null,"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":null,"license_id":null,"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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1448638579","display_name":null,"funder_award_id":"62274034","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2624431344","https://openalex.org/W2911181151","https://openalex.org/W2945759188","https://openalex.org/W3194360729","https://openalex.org/W4280510627","https://openalex.org/W4280619382","https://openalex.org/W4293023278","https://openalex.org/W6631190155","https://openalex.org/W6758616918","https://openalex.org/W6779961489"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2157978810","https://openalex.org/W2111089054","https://openalex.org/W4318685693"],"abstract_inverted_index":{"With":[0],"diminishing":[1],"margins":[2],"in":[3],"advanced":[4],"technology":[5],"nodes,":[6],"the":[7,38,52,63,102,124,157],"performance":[8],"of":[9,65,82,137],"static":[10],"timing":[11,39,53,85,114,130,135],"analysis":[12,30,34],"(STA)":[13],"is":[14,55],"a":[15,77],"serious":[16],"concern,":[17],"including":[18],"accuracy":[19],"and":[20,32,79,105,133,145],"runtime.":[21],"The":[22],"STA":[23,159],"can":[24,111],"generally":[25],"be":[26],"divided":[27],"into":[28],"graph-based":[29],"(GBA)":[31],"path-based":[33],"(PBA).":[35],"For":[36,50],"GBA,":[37],"results":[40,86,118,131],"are":[41],"always":[42],"pessimistic,":[43],"leading":[44],"to":[45,70,126],"overdesign":[46],"during":[47],"design":[48],"optimization.":[49],"PBA,":[51],"pessimism":[54,136],"reduced":[56],"via":[57],"propagating":[58],"real":[59],"path-specific":[60],"slews":[61],"with":[62,101,139],"cost":[64],"severe":[66],"runtime":[67],"overheads":[68],"relative":[69],"GBA.":[71],"In":[72],"this":[73],"work,":[74],"we":[75],"present":[76],"fast":[78],"accurate":[80],"predictor":[81,122],"post-layout":[83],"PBA":[84,129,155],"from":[87],"inexpensive":[88],"GBA":[89,138],"based":[90],"on":[91],"deep":[92,98,109],"edge-featured":[93],"graph":[94,106],"attention":[95],"network,":[96],"namely":[97],"EdgeGAT.":[99],"Compared":[100],"conventional":[103],"machine":[104],"learning":[107],"methods,":[108],"EdgeGAT":[110],"learn":[112],"global":[113],"path":[115],"information.":[116],"Experimental":[117],"demonstrate":[119],"that":[120],"our":[121,146],"has":[123],"potential":[125],"substantially":[127],"predict":[128],"accurately":[132],"reduce":[134],"maximum":[140],"error":[141],"reaching":[142],"6.81":[143],"ps,":[144],"work":[147],"achieves":[148],"an":[149],"average":[150],"24.80\u00d7":[151],"speedup":[152],"faster":[153],"than":[154],"using":[156],"commercial":[158],"tool.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
