{"id":"https://openalex.org/W3160166991","doi":"https://doi.org/10.1109/tmm.2021.3136098","title":"Consistent Multiple Graph Embedding for Multi-View Clustering","display_name":"Consistent Multiple Graph Embedding for Multi-View Clustering","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W3160166991","doi":"https://doi.org/10.1109/tmm.2021.3136098","mag":"3160166991"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3136098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3136098","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.04880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100377941","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0002-8765-7640"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8765-7640","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037345013","display_name":"Dongxia Chang","orcid":"https://orcid.org/0000-0002-9718-4277"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxia Chang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9718-4277","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102923156","display_name":"Zhiqiang Fu","orcid":"https://orcid.org/0000-0002-8756-6423"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Fu","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":4.5404,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.96010625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"1008","last_page":"1018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9976999759674072,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.826546311378479},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6068543791770935},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4775972366333008},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44156789779663086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3080407977104187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826546311378479},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6068543791770935},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4775972366333008},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44156789779663086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3080407977104187}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2021.3136098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3136098","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2105.04880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.04880","pdf_url":"https://arxiv.org/pdf/2105.04880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:2105.04880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.04880","pdf_url":"https://arxiv.org/pdf/2105.04880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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/G3796867913","display_name":null,"funder_award_id":"2021YJS027","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3910816902","display_name":null,"funder_award_id":"2018AAA0102100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"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":63,"referenced_works":["https://openalex.org/W250737475","https://openalex.org/W1566135517","https://openalex.org/W1572158434","https://openalex.org/W1892382968","https://openalex.org/W1973975575","https://openalex.org/W2051618551","https://openalex.org/W2060300932","https://openalex.org/W2089923519","https://openalex.org/W2097117768","https://openalex.org/W2097482982","https://openalex.org/W2121947440","https://openalex.org/W2131744502","https://openalex.org/W2142838865","https://openalex.org/W2161969291","https://openalex.org/W2187089797","https://openalex.org/W2321619235","https://openalex.org/W2554952599","https://openalex.org/W2594033493","https://openalex.org/W2604314403","https://openalex.org/W2604936817","https://openalex.org/W2740464254","https://openalex.org/W2756626360","https://openalex.org/W2770231261","https://openalex.org/W2792991240","https://openalex.org/W2803832867","https://openalex.org/W2804403376","https://openalex.org/W2884277568","https://openalex.org/W2887997457","https://openalex.org/W2893652381","https://openalex.org/W2896169497","https://openalex.org/W2898233200","https://openalex.org/W2899604627","https://openalex.org/W2921065608","https://openalex.org/W2940742116","https://openalex.org/W2948012107","https://openalex.org/W2963764569","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964732194","https://openalex.org/W2965510190","https://openalex.org/W2965744772","https://openalex.org/W2966028836","https://openalex.org/W2970066309","https://openalex.org/W2981206386","https://openalex.org/W2983762999","https://openalex.org/W2988613494","https://openalex.org/W3004946360","https://openalex.org/W3010318487","https://openalex.org/W3012918605","https://openalex.org/W3047358409","https://openalex.org/W3101709902","https://openalex.org/W3168468320","https://openalex.org/W3173532622","https://openalex.org/W3176694003","https://openalex.org/W4285719527","https://openalex.org/W4322614756","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6752051073","https://openalex.org/W6754278344","https://openalex.org/W6763416564","https://openalex.org/W6767098714","https://openalex.org/W7018611383"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Graph-based":[0],"multi-view":[1,28,76,164],"clustering":[2,171],"aiming":[3],"to":[4,34,40,69,117],"obtain":[5],"a":[6,42,52,62,79,100,110,128],"partition":[7],"of":[8,75,93,163],"data":[9,77,156],"across":[10],"multiple":[11,63,152],"views,":[12],"has":[13],"received":[14],"considerable":[15],"attention":[16,81],"in":[17,97,133],"recent":[18],"years.":[19],"Although":[20],"great":[21],"efforts":[22],"have":[23],"been":[24],"made":[25],"for":[26,45],"graph-based":[27],"clustering,":[29],"it":[30],"is":[31,67,107,115],"still":[32],"challenging":[33],"fuse":[35],"characteristics":[36,96],"from":[37,123,151],"various":[38],"views":[39,125,153],"learn":[41],"common":[43,88,129,141],"representation":[44,89,142],"clustering.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"novel":[53],"Consistent":[54],"Multiple":[55],"Graph":[56],"Embedding":[57],"Clustering":[58],"framework":[59],"(CMGEC).":[60],"Specifically,":[61],"graph":[64,111,131],"auto-encoder":[65],"(M-GAE)":[66],"designed":[68],"flexibly":[70],"encode":[71],"the":[72,86,91,94,119,140,169],"complementary":[73,149],"information":[74,150],"using":[78],"multi-graph":[80],"fusion":[82,112],"encoder.":[83],"To":[84],"guide":[85],"learned":[87],"maintaining":[90],"similarity":[92],"neighboring":[95],"each":[98],"view,":[99],"Multi-view":[101],"Mutual":[102],"Information":[103],"Maximization":[104],"module":[105],"(MMIM)":[106],"introduced.":[108],"Furthermore,":[109],"network":[113],"(GFN)":[114],"devised":[116],"explore":[118],"relationship":[120],"among":[121],"graphs":[122],"different":[124],"and":[126,154],"provide":[127],"consensus":[130],"needed":[132],"M-GAE.":[134],"By":[135],"jointly":[136],"training":[137],"these":[138],"models,":[139],"can":[143],"be":[144],"obtained,":[145],"which":[146],"encodes":[147],"more":[148,157],"depicts":[155],"comprehensively.":[158],"Experiments":[159],"on":[160],"three":[161],"types":[162],"datasets":[165],"demonstrate":[166],"CMGEC":[167],"outperforms":[168],"state-of-the-art":[170],"methods.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}