{"id":"https://openalex.org/W3036312847","doi":"https://doi.org/10.23919/date48585.2020.9116329","title":"GANA: Graph Convolutional Network Based Automated Netlist Annotation for Analog Circuits","display_name":"GANA: Graph Convolutional Network Based Automated Netlist Annotation for Analog Circuits","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3036312847","doi":"https://doi.org/10.23919/date48585.2020.9116329","mag":"3036312847"},"language":"en","primary_location":{"id":"doi:10.23919/date48585.2020.9116329","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5063963932","display_name":"Kishor Kunal","orcid":"https://orcid.org/0000-0003-3510-9850"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kishor Kunal","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006995274","display_name":"Tonmoy Dhar","orcid":"https://orcid.org/0000-0003-0980-9749"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonmoy Dhar","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063857392","display_name":"Meghna Madhusudan","orcid":"https://orcid.org/0000-0001-5101-2421"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meghna Madhusudan","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004779677","display_name":"Jitesh Poojary","orcid":"https://orcid.org/0000-0001-7548-9064"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jitesh Poojary","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732194","display_name":"Arvind Sharma","orcid":"https://orcid.org/0000-0002-9250-9642"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arvind Sharma","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055673445","display_name":"Wenbin Xu","orcid":"https://orcid.org/0000-0001-5165-8556"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbin Xu","raw_affiliation_strings":["Texas A&M University,College Station,TX"],"affiliations":[{"raw_affiliation_string":"Texas A&M University,College Station,TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053468539","display_name":"Steven M. Burns","orcid":"https://orcid.org/0000-0003-0248-5403"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven M. Burns","raw_affiliation_strings":["Intel Corporation,Hillsboro,OR","Intel Corporation, Hillsboro, OR"],"affiliations":[{"raw_affiliation_string":"Intel Corporation,Hillsboro,OR","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Corporation, Hillsboro, OR","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103246390","display_name":"Jiang Hu","orcid":"https://orcid.org/0000-0003-1157-7799"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Hu","raw_affiliation_strings":["Texas A&M University,College Station,TX"],"affiliations":[{"raw_affiliation_string":"Texas A&M University,College Station,TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059037025","display_name":"Ramesh Harjani","orcid":"https://orcid.org/0000-0001-7691-566X"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramesh Harjani","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN","University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5063963932"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":4.5622,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.95456879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":1.0,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9994000196456909,"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/netlist","display_name":"Netlist","score":0.9553746581077576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6984925270080566},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5926852226257324},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4810197949409485},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4727036952972412},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.4615030884742737},{"id":"https://openalex.org/keywords/electronic-design-automation","display_name":"Electronic design automation","score":0.45861032605171204},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4127964377403259},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.37272951006889343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3600437641143799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3444707989692688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17329394817352295},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16769787669181824},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15845215320587158}],"concepts":[{"id":"https://openalex.org/C177650935","wikidata":"https://www.wikidata.org/wiki/Q1760303","display_name":"Netlist","level":2,"score":0.9553746581077576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984925270080566},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5926852226257324},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4810197949409485},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4727036952972412},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.4615030884742737},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.45861032605171204},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4127964377403259},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.37272951006889343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3600437641143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3444707989692688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17329394817352295},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16769787669181824},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15845215320587158},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date48585.2020.9116329","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":29,"referenced_works":["https://openalex.org/W1566916904","https://openalex.org/W2001822849","https://openalex.org/W2011039300","https://openalex.org/W2019544124","https://openalex.org/W2020787948","https://openalex.org/W2046328375","https://openalex.org/W2070232376","https://openalex.org/W2103153585","https://openalex.org/W2121456807","https://openalex.org/W2134152592","https://openalex.org/W2135957668","https://openalex.org/W2142593600","https://openalex.org/W2147405597","https://openalex.org/W2340429540","https://openalex.org/W2346205343","https://openalex.org/W2381518922","https://openalex.org/W2789404248","https://openalex.org/W2807021761","https://openalex.org/W2885085956","https://openalex.org/W2899434164","https://openalex.org/W2945221971","https://openalex.org/W2963460103","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W3100848837","https://openalex.org/W4293651439","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6744557953"],"related_works":["https://openalex.org/W2098869417","https://openalex.org/W2503215586","https://openalex.org/W2124342848","https://openalex.org/W2106223679","https://openalex.org/W3112109996","https://openalex.org/W2171786655","https://openalex.org/W4386694274","https://openalex.org/W2099346120","https://openalex.org/W2795180100","https://openalex.org/W3146543203"],"abstract_inverted_index":{"Automated":[0],"subcircuit":[1,123],"identification":[2,30,115,124],"and":[3,14,27,112,152,155],"annotation":[4],"enables":[5],"the":[6,33,50,66,87],"creation":[7],"of":[8,11,19,53,68,86,94,130,136,159],"hierarchical":[9,120,157],"representations":[10],"analog":[12,41,137],"netlists,":[13],"can":[15,38],"facilitate":[16],"a":[17,69,127,133],"variety":[18],"design":[20,88],"automation":[21],"tasks":[22],"such":[23,54,109,146,160],"as":[24,110,147],"circuit":[25,81],"layout":[26,107],"optimization.":[28],"Subcircuit":[29],"must":[31],"navigate":[32],"numerous":[34],"alternative":[35],"structures":[36],"that":[37,76,143],"implement":[39],"any":[40],"function,":[42],"but":[43],"traditional":[44],"graph-based":[45,99],"methods":[46],"cannot":[47],"easily":[48],"identify":[49],"large":[51],"number":[52],"structural":[55],"variants.":[56],"The":[57,101,122],"novel":[58],"approach":[59],"in":[60],"this":[61],"paper":[62],"is":[63,116],"based":[64],"on":[65],"use":[67],"trained":[70],"graph":[71],"convolutional":[72],"neural":[73],"network":[74],"(GCN)":[75],"identifies":[77,140],"netlist":[78],"elements":[79],"for":[80,118],"blocks":[82],"at":[83,91],"upper":[84],"levels":[85,93],"hierarchy.":[89],"Structures":[90],"lower":[92],"hierarchy":[95],"are":[96],"identified":[97],"using":[98],"algorithms.":[100],"proposed":[102],"recognition":[103],"scheme":[104],"organically":[105],"detects":[106],"constraints,":[108],"symmetry":[111],"matching,":[113],"whose":[114],"essential":[117],"high-quality":[119],"layout.":[121],"method":[125],"demonstrates":[126],"high":[128],"degree":[129],"accuracy":[131],"over":[132],"wide":[134],"range":[135],"designs,":[138],"successfully":[139],"larger":[141],"circuits":[142],"contain":[144],"subblocks":[145],"OTAs,":[148],"LNAs,":[149],"mixers,":[150],"oscillators,":[151],"band-pass":[153],"filters,":[154],"provides":[156],"decompositions":[158],"circuits.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}