{"id":"https://openalex.org/W4389317742","doi":"https://doi.org/10.1109/tfuzz.2023.3338565","title":"Fuzzy-Based Deep Attributed Graph Clustering","display_name":"Fuzzy-Based Deep Attributed Graph Clustering","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4389317742","doi":"https://doi.org/10.1109/tfuzz.2023.3338565"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2023.3338565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3338565","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy 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/A5101632324","display_name":"Yue Yang","orcid":"https://orcid.org/0000-0001-7729-595X"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yang","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-7729-595X","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045680312","display_name":"Xiaorui Su","orcid":"https://orcid.org/0000-0001-5468-6085"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Su","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-5468-6085","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014724927","display_name":"Bo-Wei Zhao","orcid":"https://orcid.org/0000-0001-8200-6016"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowei Zhao","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-8200-6016","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360781","display_name":"Guodong Li","orcid":"https://orcid.org/0009-0007-8980-0141"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"GuoDong Li","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0009-0007-8980-0141","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078808331","display_name":"Pengwei Hu","orcid":"https://orcid.org/0000-0001-5974-7932"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwei Hu","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-5974-7932","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205516","display_name":"Jun Zhang","orcid":"https://orcid.org/0009-0009-8730-6216"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0009-0009-8730-6216","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008221100","display_name":"Lun Hu","orcid":"https://orcid.org/0000-0002-1591-8549"},"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/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Hu","raw_affiliation_strings":["Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-1591-8549","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.2281,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.99303919,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"4","first_page":"1951","last_page":"1964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987999796867371,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7875738739967346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6966431736946106},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5512743592262268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5178608894348145},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5169979333877563},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5006344318389893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4865361750125885},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45274221897125244},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4370570182800293},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4203418791294098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38416916131973267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32526180148124695},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32448452711105347}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7875738739967346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966431736946106},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5512743592262268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5178608894348145},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5169979333877563},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5006344318389893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4865361750125885},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45274221897125244},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4370570182800293},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4203418791294098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38416916131973267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32526180148124695},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32448452711105347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2023.3338565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3338565","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1630520351","display_name":null,"funder_award_id":"2021D01D05","funder_id":"https://openalex.org/F4320311028","funder_display_name":"Natural Science Foundation of Xinjiang Province"},{"id":"https://openalex.org/G826153484","display_name":null,"funder_award_id":"62373348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311028","display_name":"Natural Science Foundation of Xinjiang Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1978710835","https://openalex.org/W2012921801","https://openalex.org/W2044400205","https://openalex.org/W2124536061","https://openalex.org/W2135827982","https://openalex.org/W2137962371","https://openalex.org/W2165515835","https://openalex.org/W2275569093","https://openalex.org/W2312464733","https://openalex.org/W2523246573","https://openalex.org/W2607802139","https://openalex.org/W2767404761","https://openalex.org/W2800791174","https://openalex.org/W2804847616","https://openalex.org/W2808409763","https://openalex.org/W2907492528","https://openalex.org/W2911338805","https://openalex.org/W2943186426","https://openalex.org/W2964732194","https://openalex.org/W2972209102","https://openalex.org/W2982673782","https://openalex.org/W2997909961","https://openalex.org/W3000389866","https://openalex.org/W3004946360","https://openalex.org/W3026890678","https://openalex.org/W3034903580","https://openalex.org/W3080292067","https://openalex.org/W3101709902","https://openalex.org/W3102647957","https://openalex.org/W3111588371","https://openalex.org/W3164338400","https://openalex.org/W3173294575","https://openalex.org/W3181419498","https://openalex.org/W3181833190","https://openalex.org/W3189403855","https://openalex.org/W3194841521","https://openalex.org/W3201854766","https://openalex.org/W3212924718","https://openalex.org/W4206441147","https://openalex.org/W4220865641","https://openalex.org/W4322614756","https://openalex.org/W4328007445","https://openalex.org/W4376865402","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6727249380","https://openalex.org/W6730084236"],"related_works":["https://openalex.org/W2556490192","https://openalex.org/W2892323093","https://openalex.org/W2361242132","https://openalex.org/W2406185607","https://openalex.org/W4308301473","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2389934482","https://openalex.org/W2351063574","https://openalex.org/W180210362"],"abstract_inverted_index":{"Attributed":[0],"graph":[1,19,130,202],"(AG)":[2],"clustering":[3,38,91,113,196],"is":[4,96,135],"a":[5,16,86,103,126,149],"fundamental,":[6],"yet":[7],"challenging,":[8],"task":[9,101],"for":[10,64],"studying":[11],"underlying":[12],"network":[13,120,144],"structures.":[14],"Recently,":[15],"variety":[17],"of":[18,98,183,188,215,219],"representation":[20,65,128,203],"learning":[21,204],"models":[22,46],"has":[23],"been":[24],"proposed":[25],"to":[26,40,48,138,153,193],"effectively":[27],"infer":[28],"the":[29,54,70,77,100,140,159,169,181,186,199,212],"node":[30,50,74,123,155],"embeddings,":[31,156],"which":[32,52,95],"are":[33,177],"then":[34,136],"incorporated":[35,179],"into":[36,125,180],"conventional":[37,112],"techniques":[39],"identify":[41],"meaningful":[42],"clusters.":[43,79],"While":[44],"these":[45],"tend":[47],"preserve":[49],"proximities,":[51],"reflect":[53],"similarity":[55],"between":[56,73,201],"nodes":[57],"in":[58,102,217],"both":[59],"structural":[60],"and":[61,76,106,122,205,230],"attribute":[62],"dimensions,":[63],"learning,":[66],"they":[67],"generally":[68],"overlook":[69],"crucial":[71],"dependencies":[72],"embeddings":[75],"resulting":[78,175],"To":[80],"overcome":[81],"this":[82],"problem,":[83],"we":[84,147],"propose":[85],"novel":[87],"fuzzy-based":[88],"deep":[89],"AG":[90,206],"model,":[92],"namely":[93],"FDAGC,":[94],"capable":[97],"achieving":[99],"purely":[104],"unsupervised":[105],"end-to-end":[107],"manner":[108],"without":[109],"additionally":[110],"incorporating":[111],"techniques.":[114],"In":[115,168],"particular,":[116],"FDAGC":[117,184,216],"first":[118],"encodes":[119],"structures":[121],"attributes":[124],"compact":[127],"with":[129,238],"convolution.":[131],"A":[132],"reconstruction":[133],"error":[134],"estimated":[137],"minimize":[139],"information":[141],"loss":[142],"during":[143],"message-passing.":[145],"Besides,":[146],"utilize":[148],"self-monitoring":[150],"training":[151,170],"strategy":[152],"optimize":[154],"thus":[157,191],"improving":[158],"cluster":[160,166],"cohesion":[161],"by":[162,197],"guiding":[163],"them":[164],"toward":[165],"centers.":[167],"phase,":[171],"our":[172],"expectations":[173],"about":[174],"clusters":[176],"explicitly":[178],"optimization":[182],"via":[185],"concept":[187],"fuzzy":[189],"clustering,":[190],"leading":[192],"more":[194],"accurate":[195],"coupling":[198],"dependency":[200],"clustering.":[207],"Extensive":[208],"experiments":[209],"have":[210],"demonstrated":[211],"superior":[213],"performance":[214],"terms":[218],"several":[220],"evaluation":[221],"metrics,":[222],"such":[223],"as":[224],"accuracy,":[225],"normalized":[226],"mutual":[227],"information,":[228],"F1-score":[229],"adjusted":[231],"rand":[232],"index,":[233],"on":[234],"six":[235],"real-world":[236],"AGs":[237],"different":[239],"scales.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":47}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
