{"id":"https://openalex.org/W4387814614","doi":"https://doi.org/10.1145/3606042.3616455","title":"Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering","display_name":"Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4387814614","doi":"https://doi.org/10.1145/3606042.3616455"},"language":"en","primary_location":{"id":"doi:10.1145/3606042.3616455","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","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/A5101787377","display_name":"Shan Jin","orcid":"https://orcid.org/0000-0003-2544-0531"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Jin","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053156190","display_name":"Zhikui Chen","orcid":"https://orcid.org/0000-0002-9209-2189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikui Chen","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004781883","display_name":"Shuo Yu","orcid":"https://orcid.org/0000-0003-1124-9509"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Yu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827301","display_name":"Muhammad Altaf","orcid":"https://orcid.org/0009-0003-5576-1878"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Altaf","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059988761","display_name":"Zhenchao Ma","orcid":"https://orcid.org/0000-0002-5014-2918"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhenchao Ma","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101787377"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13572605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9958000183105469,"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":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7160325050354004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122493982315063},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5118340849876404},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.4583221971988678},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43601173162460327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4168854355812073},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4105070233345032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3649311661720276},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3318748474121094},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.12427610158920288}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7160325050354004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122493982315063},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5118340849876404},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.4583221971988678},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43601173162460327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4168854355812073},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4105070233345032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3649311661720276},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3318748474121094},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.12427610158920288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606042.3616455","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606042.3616455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2669192471","display_name":null,"funder_award_id":"No. DUT22RC(3)060","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8446831902","display_name":null,"funder_award_id":"No. 62102060","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1981276685","https://openalex.org/W2050385561","https://openalex.org/W2187089797","https://openalex.org/W2474638510","https://openalex.org/W2577472518","https://openalex.org/W2740464254","https://openalex.org/W2808361044","https://openalex.org/W2964732194","https://openalex.org/W3035042697","https://openalex.org/W3035663159","https://openalex.org/W3040516071","https://openalex.org/W3199576129","https://openalex.org/W3204232150","https://openalex.org/W3210242454","https://openalex.org/W4200128785","https://openalex.org/W4205214766","https://openalex.org/W4238216513"],"related_works":["https://openalex.org/W2951567704","https://openalex.org/W2535986621","https://openalex.org/W2040929534","https://openalex.org/W2773356553","https://openalex.org/W4388110928","https://openalex.org/W2607137685","https://openalex.org/W2311450085","https://openalex.org/W2609148028","https://openalex.org/W2106080381","https://openalex.org/W2293953271"],"abstract_inverted_index":{"Multi-view":[0],"attribute":[1,24,65,116],"graph":[2,25,66,146],"clustering":[3,26,50],"is":[4,93,120],"a":[5,57,87],"fundamental":[6],"task":[7],"which":[8,68,104,134],"aims":[9],"to":[10,48,95,122],"partition":[11],"multi-view":[12,23,64,115],"attributes":[13],"into":[14,86],"multiple":[15,141],"clusters":[16],"in":[17,129],"an":[18],"unsupervised":[19],"manner.":[20],"The":[21],"existing":[22],"methods":[27],"lack":[28],"the":[29,41,70,77,98,108,124,130,137,153,164,184],"utilization":[30],"of":[31,74,79,111,126,155,166],"comprehensive":[32,71],"structural":[33,72,99],"information":[34,100,168],"within":[35,101,169],"each":[36,102,112,170],"view":[37,113,171],"and":[38,76,132,143,172],"further":[39],"ignore":[40],"unreliable":[42,173],"relations":[43,82,128,174],"between":[44,83,140,175],"different":[45,84,176],"views,":[46],"leading":[47],"suboptimal":[49],"results.":[51],"To":[52],"this":[53],"end,":[54],"we":[55],"develop":[56],"Self-Augmentation":[58],"Graph":[59,90],"Contrastive":[60],"Learning":[61],"(SAGCL)":[62],"for":[63,114],"clustering,":[67],"integrates":[69],"learning":[73],"view-specific":[75],"alignment":[78],"multi-level":[80],"reliable":[81],"views":[85,142],"unified":[88],"framework.":[89],"self-augmentation":[91],"strategy":[92],"proposed":[94,160],"adaptively":[96],"explore":[97],"view,":[103],"can":[105,135,162],"comprehensively":[106],"capture":[107],"critical":[109],"structure":[110,139],"graph.":[117],"Dual-alignment":[118],"constraint":[119],"developed":[121],"guide":[123],"consistency":[125],"inter-view":[127],"embedding-level":[131],"clustering-level,":[133],"extract":[136],"consistent":[138],"obtain":[144],"cluster-oriented":[145],"embedding":[147],"with":[148,152],"more":[149],"discriminating.":[150],"Furthermore,":[151],"help":[154],"robust":[156],"contrastive":[157],"loss,":[158],"our":[159],"network":[161],"suppress":[163],"existence":[165],"noisy":[167],"views.":[177],"Extensive":[178],"experiments":[179],"prove":[180],"that":[181],"SAGCL":[182],"outperforms":[183],"state-of-the-art":[185],"methods.":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
