{"id":"https://openalex.org/W4404238543","doi":"https://doi.org/10.1109/tcss.2024.3478351","title":"Deep Graph Clustering With Triple Fusion Mechanism for Community Detection","display_name":"Deep Graph Clustering With Triple Fusion Mechanism for Community Detection","publication_year":2024,"publication_date":"2024-11-11","ids":{"openalex":"https://openalex.org/W4404238543","doi":"https://doi.org/10.1109/tcss.2024.3478351"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3478351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3478351","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5112506857","display_name":"Yuanchi Ma","orcid":"https://orcid.org/0000-0003-4220-6317"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchi Ma","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4220-6317","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034376285","display_name":"Kaize Shi","orcid":"https://orcid.org/0000-0003-3561-3627"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaize Shi","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3561-3627","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043549588","display_name":"Xueping Peng","orcid":"https://orcid.org/0000-0002-8901-1472"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xueping Peng","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8901-1472","affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050350085","display_name":"Hui He","orcid":"https://orcid.org/0000-0001-5515-2739"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui He","raw_affiliation_strings":["School of Medical Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5515-2739","affiliations":[{"raw_affiliation_string":"School of Medical Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024061562","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-5496-4487"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5496-4487","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101838647","display_name":"Jinyan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4595-7442","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024426789","display_name":"Z. H. Lei","orcid":"https://orcid.org/0009-0003-5094-0957"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxiang Lei","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-5094-0957","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082774439","display_name":"Zhendong Niu","orcid":"https://orcid.org/0000-0002-0576-7572"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Niu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0576-7572","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2503,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55124842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"4","first_page":"1743","last_page":"1758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9943000078201294,"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":0.9943000078201294,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9829000234603882,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.972599983215332,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6597004532814026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528860867023468},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.519074022769928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4742766320705414},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4391840100288391},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4273323118686676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34862348437309265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32893073558807373},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15358981490135193}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6597004532814026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528860867023468},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.519074022769928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4742766320705414},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4391840100288391},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4273323118686676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34862348437309265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32893073558807373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15358981490135193},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3478351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3478351","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3883314779","display_name":null,"funder_award_id":"2019YFB1406302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8023270376","display_name":null,"funder_award_id":"62272048","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":79,"referenced_works":["https://openalex.org/W1587744656","https://openalex.org/W1906977363","https://openalex.org/W1971421925","https://openalex.org/W1975086969","https://openalex.org/W1993459271","https://openalex.org/W2012662151","https://openalex.org/W2016477260","https://openalex.org/W2033852356","https://openalex.org/W2100659887","https://openalex.org/W2106662996","https://openalex.org/W2132914434","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2165835468","https://openalex.org/W2170321652","https://openalex.org/W2188193460","https://openalex.org/W2405933695","https://openalex.org/W2415243320","https://openalex.org/W2524039959","https://openalex.org/W2554897051","https://openalex.org/W2579393094","https://openalex.org/W2592380430","https://openalex.org/W2592804878","https://openalex.org/W2741943936","https://openalex.org/W2808409763","https://openalex.org/W2901444528","https://openalex.org/W2905055293","https://openalex.org/W2955058313","https://openalex.org/W2962876161","https://openalex.org/W2963084622","https://openalex.org/W2964368963","https://openalex.org/W2964732194","https://openalex.org/W2966502719","https://openalex.org/W2970417259","https://openalex.org/W2972209102","https://openalex.org/W2974156130","https://openalex.org/W3004946360","https://openalex.org/W3022582283","https://openalex.org/W3046073088","https://openalex.org/W3126380281","https://openalex.org/W3136526008","https://openalex.org/W3153149826","https://openalex.org/W3173294575","https://openalex.org/W3202998373","https://openalex.org/W3208234528","https://openalex.org/W3212410763","https://openalex.org/W3212924718","https://openalex.org/W4226219101","https://openalex.org/W4239573432","https://openalex.org/W4248936881","https://openalex.org/W4253728774","https://openalex.org/W4312500569","https://openalex.org/W4312524345","https://openalex.org/W4312925207","https://openalex.org/W4312947916","https://openalex.org/W4321483883","https://openalex.org/W4385521862","https://openalex.org/W4386365860","https://openalex.org/W4387197137","https://openalex.org/W4387309424","https://openalex.org/W4387623852","https://openalex.org/W4388505202","https://openalex.org/W4393156516","https://openalex.org/W4393160919","https://openalex.org/W4396535339","https://openalex.org/W6637131181","https://openalex.org/W6678914141","https://openalex.org/W6685380521","https://openalex.org/W6690230747","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6745537798","https://openalex.org/W6767032894","https://openalex.org/W6779518175","https://openalex.org/W6855735408","https://openalex.org/W6858267978","https://openalex.org/W6858721613","https://openalex.org/W6860568881","https://openalex.org/W6866645506"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Deep":[0],"graph":[1,37,45,158,176],"clustering":[2,38],"is":[3,25],"a":[4,21,76,92,113,119],"highly":[5],"significant":[6],"tool":[7],"for":[8,87],"community":[9,66,88],"detection,":[10,89],"enabling":[11],"the":[12,44,69,99,131,138,150,157,172,175,198],"identification":[13],"of":[14,18,55,101,140,174,181],"strongly":[15],"connected":[16],"groups":[17],"nodes":[19],"within":[20,124],"graph.":[22],"This":[23,128],"technology":[24],"crucial":[26],"in":[27],"various":[28],"fields":[29],"such":[30],"as":[31,185],"education":[32],"and":[33,103,118,136,143,166],"E-learning.":[34],"However,":[35],"deep":[36,79,120],"can":[39,62],"be":[40],"more":[41],"misled":[42],"by":[43,68],"topology,":[46],"disregarding":[47],"node":[48,102],"information.":[49],"For":[50],"example,":[51],"an":[52,125,186],"excessive":[53],"number":[54],"intercommunity":[56],"edges":[57,61],"or":[58],"insufficient":[59],"intracommunity":[60],"lead":[63],"to":[64,97,133,148,170,197],"inaccurate":[65],"distinction":[67],"model.":[70],"In":[71],"this":[72,108],"article,":[73],"we":[74],"propose":[75],"novel":[77],"model,":[78],"Graph":[80],"Clustering":[81],"with":[82],"Triple":[83],"Fusion":[84],"Autoencoder":[85],"(GC-TriFA)":[86],"which":[90],"utilizes":[91,145],"triple":[93],"encoding":[94],"fusion":[95,117,122,147],"mechanism":[96],"balance":[98],"incorporation":[100],"topological":[104],"information,":[105],"thereby":[106],"mitigating":[107],"issue.":[109],"Specifically,":[110],"GC-TriFA":[111,154],"employs":[112],"shallow":[114],"linear":[115],"coding":[116,121],"method":[123],"autoencoder":[126],"structure.":[127],"approach":[129],"enables":[130],"model":[132,188],"simultaneously":[134],"learn":[135],"capture":[137],"embedding":[139],"cross-modality":[141],"information":[142],"later":[144],"weight":[146],"equalize":[149],"two":[151],"modalities.":[152],"Furthermore,":[153],"also":[155],"reconstructs":[156],"structure,":[159],"learns":[160],"relaxed":[161],"<inline-formula":[162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[164],"notation=\"LaTeX\">$k$</tex-math></inline-formula>-means,":[165],"undergoes":[167],"self-supervised":[168],"training":[169],"enhance":[171],"quality":[173],"embedding.":[177],"The":[178],"experimental":[179],"results":[180],"GC-TriFA,":[182],"when":[183],"evaluated":[184],"end-to-end":[187],"on":[189],"publicly":[190],"available":[191],"datasets,":[192],"demonstrate":[193],"its":[194],"superiority":[195],"compared":[196],"baseline":[199],"models.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
