{"id":"https://openalex.org/W4389105104","doi":"https://doi.org/10.1109/tnnls.2023.3334751","title":"Clustering Enhanced Multiplex Graph Contrastive Representation Learning","display_name":"Clustering Enhanced Multiplex Graph Contrastive Representation Learning","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389105104","doi":"https://doi.org/10.1109/tnnls.2023.3334751","pmid":"https://pubmed.ncbi.nlm.nih.gov/38015684"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3334751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3334751","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","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/A5024939023","display_name":"Ruiwen Yuan","orcid":"https://orcid.org/0000-0003-4649-0167"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiwen Yuan","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012722","display_name":"Yongqiang Tang","orcid":"https://orcid.org/0000-0001-9333-8200"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Tang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070985443","display_name":"Yajing Wu","orcid":"https://orcid.org/0000-0003-4735-0377"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Wu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414787","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0003-0752-941X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024939023"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.5657,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86800109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"1341","last_page":"1355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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":0.9973999857902527,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10737","display_name":"Health Literacy and Information Accessibility","score":0.9194999933242798,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7405992746353149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047369480133057},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6033271551132202},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5757095813751221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5593944191932678},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5266347527503967},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5011940002441406},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46042513847351074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4125916361808777},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3598673343658447},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31633836030960083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2791523039340973}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7405992746353149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047369480133057},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6033271551132202},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5757095813751221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593944191932678},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5266347527503967},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5011940002441406},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46042513847351074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4125916361808777},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3598673343658447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31633836030960083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2791523039340973},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3334751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3334751","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38015684","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38015684","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3136496298","display_name":null,"funder_award_id":"2021ZD0201600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5604640193","display_name":null,"funder_award_id":"62203437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6244735155","display_name":null,"funder_award_id":"62206292","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8871594933","display_name":null,"funder_award_id":"U22B2048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8919716214","display_name":null,"funder_award_id":"62106266","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2808361044","https://openalex.org/W2907492528","https://openalex.org/W2908461307","https://openalex.org/W2916047525","https://openalex.org/W2964744810","https://openalex.org/W2997461192","https://openalex.org/W3012816161","https://openalex.org/W3012918605","https://openalex.org/W3016163458","https://openalex.org/W3028772300","https://openalex.org/W3034903580","https://openalex.org/W3035524453","https://openalex.org/W3036446966","https://openalex.org/W3130828726","https://openalex.org/W3134210100","https://openalex.org/W3149863265","https://openalex.org/W3164338400","https://openalex.org/W3171713821","https://openalex.org/W3172710079","https://openalex.org/W3173294575","https://openalex.org/W3183553932","https://openalex.org/W3189403855","https://openalex.org/W3191244312","https://openalex.org/W3197314389","https://openalex.org/W3200804773","https://openalex.org/W3201013727","https://openalex.org/W4226087736","https://openalex.org/W4226190109","https://openalex.org/W4226219101","https://openalex.org/W4280547572","https://openalex.org/W4282913028","https://openalex.org/W4284968770","https://openalex.org/W4306316983","https://openalex.org/W4312973985","https://openalex.org/W4313644241","https://openalex.org/W4322505688","https://openalex.org/W4323065138","https://openalex.org/W4324292597","https://openalex.org/W4327524127","https://openalex.org/W4367047265","https://openalex.org/W4367147048","https://openalex.org/W4378804891","https://openalex.org/W4385489739","https://openalex.org/W4386973885","https://openalex.org/W6636883489","https://openalex.org/W6755573351","https://openalex.org/W6770592035","https://openalex.org/W6772452955","https://openalex.org/W6774314701","https://openalex.org/W6779518175","https://openalex.org/W6780721981","https://openalex.org/W6782808188","https://openalex.org/W6784694379","https://openalex.org/W6803276269","https://openalex.org/W6803318553","https://openalex.org/W6845837341","https://openalex.org/W6852583479","https://openalex.org/W6929809198"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Multiplex":[0],"graph":[1,73,93],"representation":[2,75],"learning":[3,76,121,140],"has":[4],"attracted":[5],"considerable":[6],"attention":[7],"due":[8],"to":[9,13,96,105,126,154,172,195],"its":[10],"powerful":[11],"capacity":[12],"depict":[14],"multiple":[15],"relation":[16,59,84],"types":[17,60],"between":[18],"nodes.":[19],"Previous":[20],"methods":[21],"generally":[22],"learn":[23],"representations":[24,104,153],"of":[25,190],"each":[26,83],"relation-based":[27],"subgraph":[28],"and":[29,52,55,122,129],"then":[30],"aggregate":[31],"them":[32],"into":[33],"final":[34],"representations.":[35],"Despite":[36],"the":[37,46,98,112,137,151,165,188,196],"enormous":[38],"success,":[39],"they":[40],"commonly":[41],"encounter":[42],"two":[43],"challenges:":[44],"1)":[45],"latent":[47],"community":[48,100],"structure":[49],"is":[50],"overlooked":[51],"2)":[53],"consistent":[54,128],"complementary":[56,130,167],"information":[57,131,168],"across":[58,158],"remains":[61],"largely":[62],"unexplored.":[63],"To":[64],"address":[65],"these":[66],"issues,":[67],"we":[68,89,117],"propose":[69,90],"a":[70,87,91,144],"clustering-enhanced":[71],"multiplex":[72],"contrastive":[74,120,139,180],"model":[77],"(CEMR).":[78],"In":[79],"CEMR,":[80],"by":[81,179],"formulating":[82],"type":[85],"as":[86],"view,":[88],"multiview":[92,114],"clustering":[94,115,175],"framework":[95],"discover":[97],"potential":[99],"structure,":[101],"which":[102],"promotes":[103],"incorporate":[106],"global":[107],"semantic":[108],"correlations.":[109],"Moreover,":[110],"under":[111],"proposed":[113],"framework,":[116],"develop":[118],"cross-view":[119,123,138,161],"cosupervision":[124,162],"modules":[125],"explore":[127],"in":[132,169,176],"different":[133],"views,":[134],"respectively.":[135],"Specifically,":[136],"module":[141,163],"equipped":[142],"with":[143],"novel":[145],"negative":[146],"pairs":[147],"selecting":[148],"mechanism":[149],"enables":[150],"view-specific":[152],"extract":[155],"common":[156],"knowledge":[157],"views.":[159],"The":[160],"exploits":[164],"high-confidence":[166],"one":[170],"view":[171],"guide":[173],"low-confidence":[174],"other":[177],"views":[178],"learning.":[181],"Comprehensive":[182],"experiments":[183],"on":[184],"four":[185],"datasets":[186],"confirm":[187],"superiority":[189],"our":[191],"CEMR":[192],"when":[193],"compared":[194],"state-of-the-art":[197],"rivals.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}