{"id":"https://openalex.org/W4312967377","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892395","title":"Robust Graph Convolutional Clustering With Adaptive Graph Learning","display_name":"Robust Graph Convolutional Clustering With Adaptive Graph Learning","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312967377","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892395"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892395","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5086123725","display_name":"Jiayi Zhao","orcid":"https://orcid.org/0009-0001-2346-8234"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayi Zhao","raw_affiliation_strings":["Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082380547","display_name":"Yanfeng Sun","orcid":"https://orcid.org/0000-0002-0872-384X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Sun","raw_affiliation_strings":["Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006916859","display_name":"Jipeng Guo","orcid":"https://orcid.org/0000-0001-8815-2559"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Guo","raw_affiliation_strings":["Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["The University of Sydney Business School, The University of Sydney,Discipline of Business Analytics,NSW,Australia","Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney Business School, The University of Sydney,Discipline of Business Analytics,NSW,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086123725"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.7276,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72123465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9926999807357788,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865816712379456},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6085016131401062},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5269849300384521},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.46134573221206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3848363161087036},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3767346143722534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.364024817943573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865816712379456},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6085016131401062},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5269849300384521},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.46134573221206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3848363161087036},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3767346143722534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.364024817943573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892395","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G5585243113","display_name":null,"funder_award_id":"U21B2038,62172023,U1811463,U19B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6077705658","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":50,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2012662151","https://openalex.org/W2030254567","https://openalex.org/W2057907879","https://openalex.org/W2090891622","https://openalex.org/W2100495367","https://openalex.org/W2103972604","https://openalex.org/W2150102617","https://openalex.org/W2154851992","https://openalex.org/W2162363099","https://openalex.org/W2187089797","https://openalex.org/W2604942799","https://openalex.org/W2615556757","https://openalex.org/W2741943936","https://openalex.org/W2808409763","https://openalex.org/W2897197428","https://openalex.org/W2906888194","https://openalex.org/W2911286998","https://openalex.org/W2913341171","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2964015378","https://openalex.org/W2964074409","https://openalex.org/W2964732194","https://openalex.org/W2965744772","https://openalex.org/W3004946360","https://openalex.org/W3005916310","https://openalex.org/W3040213512","https://openalex.org/W3044096495","https://openalex.org/W3081203761","https://openalex.org/W3101466234","https://openalex.org/W3101709902","https://openalex.org/W3104097132","https://openalex.org/W3104425534","https://openalex.org/W3119631648","https://openalex.org/W3123839090","https://openalex.org/W3211858897","https://openalex.org/W4297733535","https://openalex.org/W4320013936","https://openalex.org/W4322614756","https://openalex.org/W6644682428","https://openalex.org/W6681875376","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6758990916","https://openalex.org/W6774346872","https://openalex.org/W6785505823"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427"],"abstract_inverted_index":{"Graph-based":[0],"clustering":[1,16,151,165],"learns":[2,79],"underlying":[3],"data":[4,109,134],"representation":[5,132],"by":[6,31,41],"employing":[7],"topological":[8],"graph":[9,49,59,84,90,121,128],"structure.":[10,166],"Recently,":[11],"Graph":[12,72],"Convolutional":[13,73],"Network":[14],"(GCN)-based":[15],"methods":[17],"have":[18],"accumulated":[19],"great":[20,24],"attentions":[21],"and":[22,57,82,93,130,160],"achieved":[23],"performance.":[25],"Its":[26],"performance":[27],"is":[28,38,124],"seriously":[29],"determined":[30],"the":[32,48,55,99,116,141,144,156,163,174,177],"quality":[33],"of":[34,62,108,119,133,143,176],"pre-provided":[35],"graph,":[36],"which":[37,77,102,139],"usually":[39],"constructed":[40],"predefined":[42],"model":[43,63],"(such":[44],"as":[45],"k-Nearest-Neighbor).":[46],"However,":[47],"may":[50],"be":[51,96,136],"inaccurate":[52],"due":[53],"to":[54,114],"noises":[56],"fixed":[58,111],"limits":[60],"flexibility":[61,142],"learning.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"a":[70,80,149],"Robust":[71],"Clustering":[74],"(RGCC)":[75],"method,":[76],"adaptively":[78],"clean":[81],"accurate":[83],"from":[85],"original":[86],"graph.":[87,112],"Specifically,":[88],"adaptive":[89],"with":[91],"low-rank":[92],"sparse":[94],"structures":[95],"learned":[97],"during":[98],"optimization":[100],"process,":[101],"can":[103,154],"better":[104,164],"encode":[105],"structural":[106],"information":[107],"than":[110],"Then,":[113],"explore":[115,162],"local":[117],"connectivity":[118],"data,":[120],"Laplacian":[122],"constraint":[123],"introduced.":[125],"Thus,":[126],"optimal":[127],"relationships":[129],"discriminative":[131],"could":[135],"simultaneously":[137],"learned,":[138],"improves":[140],"RGCC":[145,179],"model.":[146],"By":[147],"designing":[148],"self-supervised":[150],"module,":[152],"it":[153],"self-supervise":[155],"node":[157],"representations":[158],"learning":[159],"thus":[161],"Experimental":[167],"results":[168],"on":[169],"several":[170],"benchmark":[171],"databases":[172],"reveal":[173],"superiority":[175],"proposed":[178],"approach.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}