{"id":"https://openalex.org/W4414197072","doi":"https://doi.org/10.1109/dac63849.2025.11132887","title":"IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction","display_name":"IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414197072","doi":"https://doi.org/10.1109/dac63849.2025.11132887"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5101544239","display_name":"Feng Guo","orcid":"https://orcid.org/0009-0000-5165-5515"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038377162","display_name":"Yugeng Xi","orcid":"https://orcid.org/0000-0001-8869-5676"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyue Xi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016813457","display_name":"Jianwang Zhai","orcid":"https://orcid.org/0000-0002-1581-3536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwang Zhai","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029730419","display_name":"Jingyu Jia","orcid":"https://orcid.org/0009-0001-6027-4842"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Jia","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320744","display_name":"Jiawei Liu","orcid":"https://orcid.org/0000-0002-2774-1509"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035246366","display_name":"Kang Zhao","orcid":"https://orcid.org/0000-0002-8321-2804"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705848","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-2627-1189"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":6.7169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95723684,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9107999801635742,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12696","display_name":"Icing and De-icing Technologies","score":0.9035999774932861,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/interpretability","display_name":"Interpretability","score":0.7792999744415283},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6061999797821045},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5138000249862671},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.46970000863075256},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.44530001282691956},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4205000102519989},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38190001249313354},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7792999744415283},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651000142097473},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3212999999523163},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30000001192092896},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2517000138759613},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11132887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2014505173","https://openalex.org/W2131254145","https://openalex.org/W2401844609","https://openalex.org/W2963727135","https://openalex.org/W3127939301","https://openalex.org/W3144470797","https://openalex.org/W3186706634","https://openalex.org/W4200338900","https://openalex.org/W4213229848","https://openalex.org/W4293261952","https://openalex.org/W4310904528","https://openalex.org/W4318685693","https://openalex.org/W4379115826","https://openalex.org/W4399487303","https://openalex.org/W4401568763","https://openalex.org/W4404133602","https://openalex.org/W4404134074","https://openalex.org/W4409282642"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,51,76,80,172],"continued":[2],"scaling":[3],"of":[4,57,82,115,175],"integrated":[5],"circuits":[6],"(ICs),":[7],"IR":[8,173],"drop":[9,174],"analysis":[10],"for":[11,105,149],"on-chip":[12],"power":[13],"grids":[14],"(PGs)":[15],"is":[16,139],"crucial":[17],"but":[18,28],"increasingly":[19],"computationally":[20],"demanding.":[21],"Traditional":[22],"numerical":[23,83,92,98,200],"methods":[24,37,49,182],"deliver":[25],"high":[26],"accuracy":[27,194],"are":[29],"prohibitively":[30],"time-intensive,":[31],"while":[32,202],"various":[33],"machine":[34],"learning":[35],"(ML)":[36],"have":[38],"been":[39],"introduced":[40],"to":[41,95,108,159],"alleviate":[42],"these":[43],"computational":[44],"burdens.":[45],"However,":[46],"most":[47],"CNN-based":[48,181,197],"ignore":[50],"fine":[52],"structure":[53],"and":[54,59,85,120,125,154,199],"topological":[55],"information":[56],"PGs,":[58],"face":[60],"interpretability":[61,103],"or":[62],"scalability":[63],"issues.":[64],"In":[65],"this":[66],"work,":[67],"we":[68,112,126],"propose":[69],"a":[70,91,101,128,134,142],"novel":[71,129,135],"graphbased":[72],"framework,":[73],"IRGNN,":[74],"leveraging":[75],"PG":[77,110,116,151],"topology":[78],"with":[79],"integration":[81],"solutions":[84,99],"point":[86,118,122],"clouds.":[87],"Our":[88],"framework":[89,169,190],"applies":[90],"solver,":[93],"AMG-PCG,":[94],"generate":[96],"rough":[97],"as":[100,117],"reliable":[102],"foundation":[104],"ML.":[106],"Then,":[107],"capture":[109,160],"topology,":[111],"regard":[113],"nodes":[114],"clouds":[119],"extract":[121],"cloud":[123],"features,":[124],"introduce":[127],"graph":[130,155],"structure,":[131],"IRGraph.":[132],"Furthermore,":[133],"graph-based":[136],"model":[137],"IRGNN":[138],"designed,":[140],"incorporating":[141],"designed":[143],"neighbor":[144],"distance":[145],"attention":[146],"(NDA)":[147],"layer":[148,158],"distanceaware":[150],"features":[152],"aggregation":[153],"transformer":[156],"(GT)":[157],"global":[161],"information.":[162],"It":[163],"should":[164],"be":[165],"noted":[166],"that":[167,188],"our":[168,189],"can":[170],"analyze":[171],"each":[176],"node":[177],"in":[178],"PG,":[179],"which":[180],"cannot":[183],"do.":[184],"Experimental":[185],"evaluations":[186],"demonstrate":[187],"achieves":[191],"significantly":[192],"higher":[193],"than":[195],"previous":[196],"approaches":[198],"solvers":[201],"substantially":[203],"reducing":[204],"computation":[205],"time.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
