{"id":"https://openalex.org/W4415004435","doi":"https://doi.org/10.1109/mlcad65511.2025.11189191","title":"Post-Routing Path Statistical Delay Estimation Based on SGAT-GRU Prediction Framework","display_name":"Post-Routing Path Statistical Delay Estimation Based on SGAT-GRU Prediction Framework","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4415004435","doi":"https://doi.org/10.1109/mlcad65511.2025.11189191"},"language":"en","primary_location":{"id":"doi:10.1109/mlcad65511.2025.11189191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad65511.2025.11189191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 ACM/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100299955","display_name":"Guo Jingjing","orcid":"https://orcid.org/0009-0008-8408-9693"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Guo","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"XueJie Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XueJie Ning","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061439650","display_name":"Silin Yang","orcid":"https://orcid.org/0009-0005-1578-2089"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suohang Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085139070","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-4290-9568"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Southeast University,School of Integrated Circuits,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Integrated Circuits,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062180403","display_name":"Zhikuang Cai","orcid":"https://orcid.org/0000-0002-0264-3849"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikuang Cai","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Integrated Circuit Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5475000143051147},{"id":"https://openalex.org/keywords/static-timing-analysis","display_name":"Static timing analysis","score":0.5282999873161316},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5123000144958496},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4293999969959259},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.41350001096725464},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4081999957561493},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.3723999857902527},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.36320000886917114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333000063896179},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C93682380","wikidata":"https://www.wikidata.org/wiki/Q2025226","display_name":"Static timing analysis","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.3573000133037567},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C174086752","wikidata":"https://www.wikidata.org/wiki/Q5253471","display_name":"Delay calculation","level":3,"score":0.3411000072956085},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlcad65511.2025.11189191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad65511.2025.11189191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 ACM/IEEE 7th Symposium on Machine Learning for CAD (MLCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2122442616","https://openalex.org/W3029530502","https://openalex.org/W3091933103","https://openalex.org/W3092027164","https://openalex.org/W3092337895","https://openalex.org/W3135561498","https://openalex.org/W3194360729","https://openalex.org/W4212927526","https://openalex.org/W4287557841","https://openalex.org/W4293243546","https://openalex.org/W4312729670","https://openalex.org/W4312939495","https://openalex.org/W4379116093"],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,47,65,115,142,156,205,208],"the":[2,34,54,158,165,168],"absence":[3],"of":[4,129,167,190,198,203],"actual":[5],"interconnect":[6],"parasitic":[7],"parameters":[8],"in":[9],"pre-routing":[10],"timing":[11,14,67],"analysis":[12,15],"tools,":[13],"results":[16,172],"exhibit":[17],"significant":[18],"errors.":[19],"This":[20],"necessitates":[21],"extensive":[22],"Statistical":[23],"Static":[24],"Timing":[25],"Analysis":[26],"(SSTA)":[27],"and":[28,40,78,92,110,118,147,182,193],"repeated":[29],"routing":[30,55],"iterations,":[31],"substantially":[32],"prolonging":[33],"design":[35],"cycle.":[36],"Therefore,":[37],"a":[38,90,104],"fast":[39],"accurate":[41,93],"prediction":[42,127],"framework":[43,94,102],"is":[44],"urgently":[45],"needed":[46],"forecast":[48],"post-routing":[49,96],"path":[50,97,130,144,148,160],"statistical":[51,98,131,159],"delays":[52],"before":[53],"stage.":[56],"Although":[57],"existing":[58,174],"models":[59,175],"utilize":[60],"Graph":[61,106],"Neural":[62],"Networks":[63],"(GNN)":[64],"accelerate":[66],"analysis,":[68],"they":[69],"suffer":[70],"from":[71],"limitations":[72],"such":[73],"as":[74],"restricted":[75],"receptive":[76],"fields":[77],"feature":[79],"smoothing.":[80],"To":[81],"address":[82],"these":[83],"challenges,":[84],"this":[85],"paper":[86],"proposes":[87],"SGAT-GRU":[88,169,185],"\u2013":[89],"rapid":[91],"for":[95],"delay":[99,146],"prediction.":[100],"The":[101,122],"employs":[103],"Self-supervised":[105],"Attention":[107],"Network":[108],"(SGAT)":[109],"Gated":[111],"Recurrent":[112],"Unit":[113],"(GRU)":[114],"embed":[116],"local":[117],"global":[119],"information":[120],"respectively.":[121],"resulting":[123],"cell":[124],"embeddings":[125,134],"enhance":[126],"accuracy":[128],"delays.":[132],"These":[133],"are":[135,153],"fed":[136],"into":[137],"two":[138],"Multi-Layer":[139],"Perceptrons":[140],"(MLPs)":[141],"obtain":[143],"mean":[145],"standard":[149],"deviation":[150],"delay,":[151],"which":[152],"then":[154],"combined":[155],"derive":[157],"delay.":[161],"Ablation":[162],"experiments":[163],"demonstrate":[164],"superiority":[166],"framework.":[170],"Comparative":[171],"with":[173,200],"confirm":[176],"that":[177],"our":[178],"approach":[179],"achieves":[180,186],"high-precision":[181],"efficient":[183],"prediction:":[184],"an":[187],"MAE":[188],"range":[189,197],"0.02\u20133.77":[191],"ps":[192],"R<sup":[194],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[195],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[196],"0.93\u20130.99,":[199],"speed":[201],"improvements":[202],"277.48\u00d7":[204],"1536.68\u00d7":[206],"compared":[207],"conventional":[209],"commercial":[210],"tools.":[211]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}