{"id":"https://openalex.org/W3154975182","doi":"https://doi.org/10.1145/3404835.3463007","title":"GraphPAS: Parallel Architecture Search for Graph Neural Networks","display_name":"GraphPAS: Parallel Architecture Search for Graph Neural Networks","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3154975182","doi":"https://doi.org/10.1145/3404835.3463007","mag":"3154975182"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463007","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.03461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100687405","display_name":"Jiamin Chen","orcid":"https://orcid.org/0000-0002-3005-4064"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Chen","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060720664","display_name":"Jianliang Gao","orcid":"https://orcid.org/0000-0002-9363-9908"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang Gao","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722130","display_name":"Yibo Chen","orcid":"https://orcid.org/0000-0002-7391-8790"},"institutions":[{"id":"https://openalex.org/I4210122501","display_name":"Hunan Xiangdian Test Research Institute (China)","ror":"https://ror.org/0391pty66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210122501"]},{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":null,"type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Chen","raw_affiliation_strings":["State Grid Hunan ElectricPower Company Limited, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Hunan ElectricPower Company Limited, Changsha, China","institution_ids":["https://openalex.org/I4210122501","https://openalex.org/I4387155567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011781981","display_name":"Babatound\u00e9 Moctard Oloulad\u00e9","orcid":"https://orcid.org/0000-0003-0078-2148"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Moctard Babatounde Oloulade","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007255322","display_name":"Tengfei Lyu","orcid":"https://orcid.org/0000-0002-2158-0740"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Lyu","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2182","last_page":"2186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7608557939529419},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5650399923324585},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5313297510147095},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.520969033241272},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47950440645217896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47391995787620544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47068578004837036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3571137487888336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608557939529419},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5650399923324585},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5313297510147095},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.520969033241272},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47950440645217896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47391995787620544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47068578004837036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3571137487888336},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3404835.3463007","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.03461","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.03461","pdf_url":"https://arxiv.org/pdf/2112.03461","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.03461","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.03461","pdf_url":"https://arxiv.org/pdf/2112.03461","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6745562962","display_name":null,"funder_award_id":"61873288","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":27,"referenced_works":["https://openalex.org/W1578945709","https://openalex.org/W1989993068","https://openalex.org/W2153959628","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2559655401","https://openalex.org/W2624431344","https://openalex.org/W2809418595","https://openalex.org/W2885311373","https://openalex.org/W2908411392","https://openalex.org/W2918342466","https://openalex.org/W2952575904","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W3021402147","https://openalex.org/W3034457099","https://openalex.org/W3034723893","https://openalex.org/W3087896801","https://openalex.org/W3105136071","https://openalex.org/W3106433415","https://openalex.org/W4288419263","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4309609199","https://openalex.org/W6745537798","https://openalex.org/W6753278433","https://openalex.org/W6763057493"],"related_works":["https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W4205824991","https://openalex.org/W3200723557","https://openalex.org/W4312713546","https://openalex.org/W2362195430","https://openalex.org/W2347494122","https://openalex.org/W2567983276","https://openalex.org/W2802298219","https://openalex.org/W2393996461"],"abstract_inverted_index":{"Graph":[0,11],"neural":[1,58],"architecture":[2,52,86],"search":[3,33,53,65,79],"has":[4,15],"received":[5],"a":[6,49,71],"lot":[7],"of":[8],"attention":[9],"as":[10],"Neural":[12],"Networks":[13],"(GNNs)":[14],"been":[16],"successfully":[17],"applied":[18],"on":[19],"the":[20,31,64,78,83],"non-Euclidean":[21],"data":[22],"recently.":[23],"However,":[24],"exploring":[25],"all":[26],"possible":[27],"GNNs":[28],"architectures":[29],"in":[30,67],"huge":[32],"space":[34,66,99],"is":[35,89],"too":[36],"time-consuming":[37],"or":[38],"impossible":[39],"for":[40,56,92],"big":[41],"graph":[42,51,57],"data.":[43],"In":[44,60],"this":[45],"paper,":[46],"we":[47,62],"propose":[48],"parallel":[50,68],"(GraphPAS)":[54],"framework":[55],"networks.":[59],"GraphPAS,":[61],"explore":[63],"by":[69],"designing":[70],"sharing-based":[72],"evolution":[73],"learning,":[74],"which":[75,96],"can":[76,97],"improve":[77],"efficiency":[80,111],"without":[81],"losing":[82],"accuracy.":[84],"Additionally,":[85],"information":[87],"entropy":[88],"adopted":[90],"dynamically":[91],"mutation":[93],"selection":[94],"probability,":[95],"reduce":[98],"exploration.":[100],"The":[101],"experimental":[102],"result":[103],"shows":[104],"that":[105],"GraphPAS":[106],"outperforms":[107],"state-of-art":[108],"models":[109],"with":[110],"and":[112],"accuracy":[113],"simultaneously.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
