{"id":"https://openalex.org/W4411726780","doi":"https://doi.org/10.1109/iscas56072.2025.11043324","title":"Differentiable Graph Neural Networks for Wirelength Estimation","display_name":"Differentiable Graph Neural Networks for Wirelength Estimation","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726780","doi":"https://doi.org/10.1109/iscas56072.2025.11043324"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5090272656","display_name":"Zhengfeng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengfeng Wu","raw_affiliation_strings":["Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037714507","display_name":"Pratik Shrestha","orcid":"https://orcid.org/0000-0002-7128-0893"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pratik Shrestha","raw_affiliation_strings":["Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003446575","display_name":"Saran Phatharodom","orcid":"https://orcid.org/0009-0006-4303-7702"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saran Phatharodom","raw_affiliation_strings":["Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059641297","display_name":"Ioannis Savidis","orcid":"https://orcid.org/0000-0003-4230-1795"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Savidis","raw_affiliation_strings":["Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15925034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12146","display_name":"Power Line Communications and Noise","score":0.9733999967575073,"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"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9473000168800354,"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/differentiable-function","display_name":"Differentiable function","score":0.6532783508300781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.63083416223526},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5233689546585083},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4995853900909424},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4151419699192047},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3637760281562805},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36050093173980713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3345468044281006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2998560667037964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24777814745903015},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12620967626571655}],"concepts":[{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6532783508300781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63083416223526},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5233689546585083},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4995853900909424},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4151419699192047},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3637760281562805},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36050093173980713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3345468044281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2998560667037964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24777814745903015},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12620967626571655},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2016990398","https://openalex.org/W2020461489","https://openalex.org/W2049823658","https://openalex.org/W2125831674","https://openalex.org/W2155462145","https://openalex.org/W2604314403","https://openalex.org/W2914393402","https://openalex.org/W2942231644","https://openalex.org/W2944851644","https://openalex.org/W4210938977","https://openalex.org/W4226039771","https://openalex.org/W4253903241","https://openalex.org/W4297983955","https://openalex.org/W4385679829","https://openalex.org/W4386763494","https://openalex.org/W4388040426","https://openalex.org/W4399487124","https://openalex.org/W6638545294","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"A":[0],"model":[1,22,96],"that":[2,41],"utilizes":[3],"a":[4,28,53],"graph":[5],"neural":[6],"network":[7],"(GNN)":[8],"is":[9,97],"proposed":[10],"to":[11,43],"estimate":[12],"wirelength":[13,26,39,48],"in":[14,110],"the":[15,24,32,45,59],"early":[16],"stages":[17],"of":[18,27,34,49,55,80],"physical":[19],"design.":[20],"The":[21,73,94],"predicts":[23],"post-routing":[25],"net,":[29],"which":[30,68],"addresses":[31],"limitations":[33],"current":[35],"estimators":[36],"including":[37],"half-perimeter":[38],"(HPWL)":[40],"tend":[42],"under-estimate":[44],"true":[46],"post-routed":[47],"complex":[50],"nets.":[51,93],"Utilizing":[52],"dataset":[54],"18":[56],"benchmark":[57],"circuits,":[58],"GNN":[60,74,95],"achieves":[61],"an":[62,70,107],"average":[63],"R2of":[64,71],"0.825,":[65],"outperforming":[66],"HPWL,":[67],"yields":[69],"0.764.":[72],"demonstrates":[75],"consistent":[76],"performance":[77],"across":[78],"nets":[79],"varying":[81],"lengths,":[82],"providing":[83,106],"significantly":[84],"improved":[85],"accuracy":[86],"over":[87],"HPWL":[88],"for":[89],"long":[90],"and":[91,99],"multi-path":[92],"differentiable":[98],"compatible":[100],"with":[101],"gradient-based":[102],"optimization":[103],"methods,":[104],"while":[105],"8\u00d7":[108],"improvement":[109],"inference":[111],"time.":[112]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
