{"id":"https://openalex.org/W4388820108","doi":"https://doi.org/10.1109/tbdata.2023.3334674","title":"Graph Structure Aware Contrastive Multi-View Clustering","display_name":"Graph Structure Aware Contrastive Multi-View Clustering","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388820108","doi":"https://doi.org/10.1109/tbdata.2023.3334674"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2023.3334674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3334674","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-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/A5001799007","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0002-7885-6963"},"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/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"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":"Rui Chen","raw_affiliation_strings":["College of Information Science and Technology, Hainan University, Haikou, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7885-6963","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"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"]}]},{"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"],"raw_orcid":"https://orcid.org/0000-0001-9333-8200","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057847421","display_name":"Xiangrui Cai","orcid":"https://orcid.org/0000-0001-5039-0922"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrui Cai","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5039-0922","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062064974","display_name":"Xiaojie Yuan","orcid":"https://orcid.org/0000-0002-5876-6856"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Yuan","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5876-6856","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Cyber Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073125952","display_name":"Wenlong Feng","orcid":"https://orcid.org/0000-0001-7938-6580"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Feng","raw_affiliation_strings":["College of Information Science and Technology, Hainan University, Haikou, China","State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0001-7938-6580","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"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/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"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":["College of Information Science and Technology, Hainan University, Haikou, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0752-941X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]},{"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9369,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92856404,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"3","first_page":"260","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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/T10057","display_name":"Face and Expression Recognition","score":0.9922999739646912,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7858467102050781},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6716282963752747},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5804932117462158},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.5074288249015808},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5068283677101135},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5033621191978455},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4829270541667938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48230576515197754},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4622720181941986},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.4446653127670288},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38112983107566833},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.18385547399520874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858467102050781},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6716282963752747},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5804932117462158},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.5074288249015808},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5068283677101135},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5033621191978455},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4829270541667938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48230576515197754},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4622720181941986},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.4446653127670288},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38112983107566833},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18385547399520874},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2023.3334674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3334674","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5811738602","display_name":null,"funder_award_id":"U1936206","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W53387266","https://openalex.org/W1497960466","https://openalex.org/W1670132599","https://openalex.org/W1672347394","https://openalex.org/W1892382968","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2023925753","https://openalex.org/W2085789144","https://openalex.org/W2089468765","https://openalex.org/W2121947440","https://openalex.org/W2124890708","https://openalex.org/W2141245797","https://openalex.org/W2187089797","https://openalex.org/W2222512263","https://openalex.org/W2490662969","https://openalex.org/W2565835729","https://openalex.org/W2619383789","https://openalex.org/W2741943936","https://openalex.org/W2758611985","https://openalex.org/W2765741717","https://openalex.org/W2809299793","https://openalex.org/W2892816441","https://openalex.org/W2939176882","https://openalex.org/W2964732194","https://openalex.org/W2970240670","https://openalex.org/W2970948008","https://openalex.org/W3004946360","https://openalex.org/W3005916310","https://openalex.org/W3008739840","https://openalex.org/W3015899030","https://openalex.org/W3035524453","https://openalex.org/W3048001603","https://openalex.org/W3087124270","https://openalex.org/W3101709902","https://openalex.org/W3108202858","https://openalex.org/W3108655343","https://openalex.org/W3122451732","https://openalex.org/W3135754249","https://openalex.org/W3156636935","https://openalex.org/W3163644211","https://openalex.org/W3163957165","https://openalex.org/W3173294575","https://openalex.org/W3176694003","https://openalex.org/W3181419498","https://openalex.org/W3192357652","https://openalex.org/W3197314389","https://openalex.org/W3204134187","https://openalex.org/W3213303594","https://openalex.org/W4210482833","https://openalex.org/W4214876032","https://openalex.org/W4220873374","https://openalex.org/W4225693658","https://openalex.org/W4226219101","https://openalex.org/W4235169531","https://openalex.org/W4237723258","https://openalex.org/W4244030505","https://openalex.org/W4281812601","https://openalex.org/W4285504878","https://openalex.org/W4285601884","https://openalex.org/W4285603626","https://openalex.org/W4287891019","https://openalex.org/W4290713716","https://openalex.org/W4297808394","https://openalex.org/W4312973985","https://openalex.org/W4313156423","https://openalex.org/W4327524127","https://openalex.org/W4378804891","https://openalex.org/W6629823275","https://openalex.org/W6631190155","https://openalex.org/W6631216910","https://openalex.org/W6636883489","https://openalex.org/W6639103823","https://openalex.org/W6678914141","https://openalex.org/W6685357932","https://openalex.org/W6685380521","https://openalex.org/W6696851070","https://openalex.org/W6728550200","https://openalex.org/W6754278344","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W4389832810","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,96],"has":[2],"become":[3],"a":[4,19,90],"research":[5],"hotspot":[6],"in":[7,14,85],"recent":[8],"decades":[9],"because":[10],"of":[11,22,32,40,57,69,119,127,153],"its":[12],"effectiveness":[13],"heterogeneous":[15],"data":[16,42],"fusion.":[17],"Although":[18],"large":[20],"number":[21],"related":[23],"studies":[24],"have":[25],"been":[26],"developed":[27],"one":[28,70],"after":[29],"another,":[30],"most":[31],"them":[33,52],"usually":[34],"only":[35],"concern":[36],"with":[37,107],"the":[38,41,46,67,74,103,114,124,137,150,157,162,195,202],"characteristics":[39],"themselves":[43],"and":[44,116,182],"overlook":[45],"inherent":[47],"connection":[48],"among":[49],"samples,":[50],"hindering":[51],"from":[53],"exploring":[54],"structural":[55,115],"knowledge":[56],"graph":[58,91,105],"space.":[59],"Moreover,":[60],"many":[61],"current":[62],"works":[63],"tend":[64],"to":[65,112,147],"highlight":[66],"compactness":[68,181],"cluster":[71,174],"without":[72],"taking":[73],"differences":[75],"between":[76,164],"clusters":[77],"into":[78],"account.":[79],"To":[80],"track":[81],"these":[82],"two":[83],"drawbacks,":[84],"this":[86],"paper,":[87],"we":[88,101,192],"propose":[89],"structure":[92],"aware":[93],"contrastive":[94,138],"multi-view":[95,120],"(namely,":[97],"GCMC)":[98],"approach.":[99],"Specifically,":[100],"incorporate":[102],"well-designed":[104],"autoencoder":[106,111],"conventional":[108],"multi-layer":[109],"perception":[110],"extract":[113],"high-level":[117],"representation":[118],"data,":[121],"so":[122],"that":[123,149,194],"underlying":[125],"correlation":[126],"samples":[128],"can":[129,198],"be":[130],"effectively":[131],"squeezed":[132],"for":[133],"model":[134],"learning.":[135],"Then":[136],"learning":[139],"paradigm":[140],"is":[141,167],"performed":[142],"on":[143,188],"multiple":[144],"pseudo-label":[145,154],"distributions":[146],"ensure":[148],"positive":[151],"pairs":[152,166],"representations":[155],"share":[156],"complementarity":[158],"across":[159],"views":[160],"while":[161],"divergence":[163],"negative":[165],"sufficiently":[168],"large.":[169],"This":[170],"makes":[171],"each":[172],"semantic":[173],"more":[175],"discriminative,":[176],"i.e.,":[177],"jointly":[178],"satisfying":[179],"intra-cluster":[180],"inter-cluster":[183],"exclusiveness.":[184],"Through":[185],"comprehensive":[186],"experiments":[187],"eight":[189],"widely-known":[190],"datasets,":[191],"prove":[193],"proposed":[196],"approach":[197],"perform":[199],"better":[200],"than":[201],"state-of-the-art":[203],"opponents.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
