{"id":"https://openalex.org/W3185645213","doi":"https://doi.org/10.1109/tpami.2022.3177295","title":"Group Contrastive Self-Supervised Learning on Graphs","display_name":"Group Contrastive Self-Supervised Learning on Graphs","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3185645213","doi":"https://doi.org/10.1109/tpami.2022.3177295","mag":"3185645213","pmid":"https://pubmed.ncbi.nlm.nih.gov/35604976"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3177295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3177295","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101694146","display_name":"Xinyi Xu","orcid":"https://orcid.org/0000-0002-4776-2809"},"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":true,"raw_author_name":"Xinyi Xu","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Texas A&amp;M University College Station, 14736 College Station, Texas, United States","Engineering, Texas A&amp","Department of Computer Science &amp"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Texas A&amp;M University College Station, 14736 College Station, Texas, United States","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Engineering, Texas A&amp","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science &amp","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["EE, Xidian University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"EE, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102912591","display_name":"Yaochen Xie","orcid":"https://orcid.org/0000-0003-0320-6728"},"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":"Yaochen Xie","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&amp;M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States","Department of Computer Science and Engineering, Texas A&amp"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&amp;M University Department of Computer Science and Engineering, 199068 College Station, Texas, United States","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&amp","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052278550","display_name":"Shuiwang Ji","orcid":"https://orcid.org/0000-0002-4205-4563"},"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":"Shuiwang Ji","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Texas A&amp;M University College Station, 14736 College Station, Texas, United States, 77843","Engineering, Texas A&amp","Department of Computer Science &amp"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Texas A&amp;M University College Station, 14736 College Station, Texas, United States, 77843","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Engineering, Texas A&amp","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science &amp","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101694146"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":3.1817,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92601461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.998199999332428,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677509546279907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6041514873504639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.428633451461792},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.41751915216445923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4010027050971985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37677115201950073}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677509546279907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041514873504639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.428633451461792},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.41751915216445923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4010027050971985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37677115201950073},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3177295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3177295","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35604976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35604976","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1757990252","https://openalex.org/W1986704581","https://openalex.org/W2128532956","https://openalex.org/W2144502914","https://openalex.org/W2554952599","https://openalex.org/W2594183968","https://openalex.org/W2606738526","https://openalex.org/W2737925311","https://openalex.org/W2767404761","https://openalex.org/W2808803559","https://openalex.org/W2809418595","https://openalex.org/W2887997457","https://openalex.org/W2896457183","https://openalex.org/W2918342466","https://openalex.org/W2948303601","https://openalex.org/W2952938873","https://openalex.org/W2962711740","https://openalex.org/W2962723992","https://openalex.org/W2962756421","https://openalex.org/W2963113119","https://openalex.org/W2963341956","https://openalex.org/W2963420272","https://openalex.org/W2963639956","https://openalex.org/W2963782635","https://openalex.org/W2963800509","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2970597249","https://openalex.org/W2970971581","https://openalex.org/W2994710732","https://openalex.org/W2995480165","https://openalex.org/W2996091850","https://openalex.org/W2996604169","https://openalex.org/W3012816161","https://openalex.org/W3033039844","https://openalex.org/W3034090344","https://openalex.org/W3034978746","https://openalex.org/W3035060230","https://openalex.org/W3042283064","https://openalex.org/W3081963674","https://openalex.org/W3087124270","https://openalex.org/W3087257704","https://openalex.org/W3088375704","https://openalex.org/W3101432304","https://openalex.org/W3101620381","https://openalex.org/W3102419180","https://openalex.org/W3103859462","https://openalex.org/W3105136071","https://openalex.org/W3106060284","https://openalex.org/W3126928293","https://openalex.org/W3129850062","https://openalex.org/W3131407161","https://openalex.org/W3132402977","https://openalex.org/W3168316785","https://openalex.org/W4206482253","https://openalex.org/W4294068600","https://openalex.org/W6717434760","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6741450815","https://openalex.org/W6754278344","https://openalex.org/W6754929296","https://openalex.org/W6760045743","https://openalex.org/W6763701032","https://openalex.org/W6766156693","https://openalex.org/W6766489549","https://openalex.org/W6771510844","https://openalex.org/W6772452955","https://openalex.org/W6774314701","https://openalex.org/W6779459370","https://openalex.org/W6779518175","https://openalex.org/W6779940601","https://openalex.org/W6784614190","https://openalex.org/W6784694379","https://openalex.org/W6784847106","https://openalex.org/W6790763814"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"We":[0,43],"study":[1],"self-supervised":[2],"learning":[3,67],"on":[4,170],"graphs":[5,47],"using":[6],"contrastive":[7,36,66],"methods.":[8],"A":[9],"general":[10],"scheme":[11],"of":[12,20,34,41,81,91,136,173,192],"prior":[13],"methods":[14,148],"is":[15,30,85],"to":[16,54,87,106,129],"optimize":[17],"two-view":[18],"representations":[19,115,131],"input":[21],"graphs.":[22,42,92,193],"In":[23,175],"many":[24],"studies,":[25],"a":[26,64,137,165,171],"single":[27],"graph-level":[28],"representation":[29,84],"computed":[31],"as":[32],"one":[33],"the":[35,75,108,119,155],"objectives,":[37],"capturing":[38],"limited":[39],"characteristics":[40,90,191],"argue":[44],"that":[45,103,132,181],"contrasting":[46],"in":[48,69,116,168],"multiple":[49,79],"subspaces":[50],"enables":[51],"graph":[52,77],"encoders":[53],"capture":[55,107,133,188],"more":[56],"abundant":[57],"characteristics.":[58],"To":[59,93],"this":[60,70],"end,":[61],"we":[62,99,122,144],"propose":[63],"group":[65,127],"framework":[68,73,163],"work.":[71],"Our":[72],"embeds":[74],"given":[76,138],"into":[78,149],"subspaces,":[80],"which":[82],"each":[83],"prompted":[86],"encode":[88],"specific":[89,190],"learn":[94],"diverse":[95],"and":[96,113,151],"informative":[97],"representations,":[98],"develop":[100,124],"principled":[101],"objectives":[102],"enable":[104],"us":[105],"relations":[109],"among":[110],"both":[111],"intra-space":[112],"inter-space":[114],"groups.":[117],"Under":[118],"proposed":[120,156],"framework,":[121,143],"further":[123],"an":[125],"attention-based":[126],"generator":[128],"compute":[130],"different":[134],"substructures":[135],"graph.":[139],"Built":[140],"upon":[141],"our":[142,162,177,185],"extend":[145],"two":[146],"current":[147],"GroupCL":[150],"GroupIG,":[152],"equipped":[153],"with":[154],"objective.":[157],"Comprehensive":[158],"experimental":[159],"results":[160,179],"show":[161,180],"achieves":[164],"promising":[166],"boost":[167],"performance":[169],"variety":[172],"datasets.":[174],"addition,":[176],"qualitative":[178],"features":[182],"generated":[183],"from":[184],"representor":[186],"successfully":[187],"various":[189]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
