{"id":"https://openalex.org/W4399618125","doi":"https://doi.org/10.1109/tai.2024.3413694","title":"GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network","display_name":"GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399618125","doi":"https://doi.org/10.1109/tai.2024.3413694"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3413694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3413694","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5101254852","display_name":"Yuan-Kun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan-Kun Xu","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-2924-5955","affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050270789","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-3923-8828"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3923-8828","affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5972-559X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Huang Lai","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7036,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97208058,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"6","issue":"6","first_page":"1448","last_page":"1459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.98089998960495,"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":0.98089998960495,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9639000296592712,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9577999711036682,"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":0.5828094482421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615167617797852},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5377606749534607},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45387616753578186},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.42595359683036804},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34360283613204956},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3358005881309509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24399957060813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1948549449443817},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11781841516494751}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5828094482421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615167617797852},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5377606749534607},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45387616753578186},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.42595359683036804},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34360283613204956},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3358005881309509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24399957060813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1948549449443817},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11781841516494751}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2024.3413694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3413694","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3159983421","display_name":null,"funder_award_id":"62276277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5908615721","display_name":null,"funder_award_id":"61976097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6333026591","display_name":null,"funder_award_id":"2021JC06X667","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G679885416","display_name":null,"funder_award_id":"U22-A2095","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2057907879","https://openalex.org/W2100495367","https://openalex.org/W2100659887","https://openalex.org/W2741943936","https://openalex.org/W2767404761","https://openalex.org/W2808409763","https://openalex.org/W2950244530","https://openalex.org/W2964732194","https://openalex.org/W2966502719","https://openalex.org/W2972209102","https://openalex.org/W2981450816","https://openalex.org/W3004946360","https://openalex.org/W3006658955","https://openalex.org/W3012918605","https://openalex.org/W3034903580","https://openalex.org/W3152842342","https://openalex.org/W3173292968","https://openalex.org/W3173294575","https://openalex.org/W3173955760","https://openalex.org/W3181419498","https://openalex.org/W3191244312","https://openalex.org/W3201879291","https://openalex.org/W4224242030","https://openalex.org/W4282925200","https://openalex.org/W4283796586","https://openalex.org/W4288073539","https://openalex.org/W4297473007","https://openalex.org/W4315926876","https://openalex.org/W4360753265","https://openalex.org/W4387848840","https://openalex.org/W6678914141","https://openalex.org/W6681875376","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6779518175","https://openalex.org/W6779940601"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4298130764"],"abstract_inverted_index":{"Though":[0],"many":[1],"deep":[2],"attributed":[3,106],"graph":[4,37,64,81,101,107,128,141,148],"clustering":[5,102],"approaches":[6],"have":[7],"been":[8],"developed":[9],"in":[10,20,55,75],"recent":[11],"years,":[12],"most":[13],"still":[14],"suffer":[15],"from":[16,198],"two":[17,156],"limitations.":[18],"First,":[19],"the":[21,28,33,40,52,56,73,76,110,123,139,143,180,184,191,194,213,224,231],"input":[22,34,70,152],"space,":[23],"they":[24,59],"primarily":[25],"rely":[26],"on":[27,206,219],"original":[29,140],"topology":[30,48,86,112],"structure":[31],"as":[32,151],"(to":[35],"some":[36],"network),":[38],"lacking":[39],"ability":[41],"to":[42,50,121,172],"jointly":[43,161],"leverage":[44],"local":[45,98,111],"and":[46,97,114,142,145,154,162],"global":[47,96,115],"information":[49,117],"refine":[51,122],"graph.":[53,124],"Second,":[54],"learning":[57,65,82,132,168,177,186],"process,":[58],"usually":[60],"employ":[61],"a":[62,68,95,126,166],"single":[63,69],"pipeline":[66],"(with":[67,84],"graph),":[71],"overlooking":[72],"opportunities":[74],"joint":[77],"optimization":[78],"of":[79,90,158,193,223],"multiple":[80,85,176],"pipelines":[83,157,178],"structures).":[87],"In":[88],"view":[89],"this,":[91],"this":[92],"article":[93],"presents":[94],"topology-aware":[99],"contrastive":[100,185],"network":[103,130],"(GLAC-GCN)":[104],"for":[105],"clustering.":[108],"Specifically,":[109],"structure,":[113],"semantic":[116],"are":[118,149,160,204],"simultaneously":[119],"utilized":[120],"Then":[125],"paralleled":[127],"convolutional":[129],"(GCN)":[131],"mechanism":[133,169],"is":[134,170,187],"designed,":[135],"where":[136],"i)":[137],"both":[138],"globally":[144],"locally":[146],"refined":[147],"treated":[150],"graphs,":[153],"ii)":[155],"GCNs":[159],"interactively":[163],"utilized.":[164],"Furthermore,":[165],"self-adaptive":[167],"devised":[171],"ensure":[173],"consistency":[174],"between":[175],"via":[179],"Kullback\u2013Leibler":[181],"(KL)-divergence.":[182],"Meanwhile,":[183],"enforced":[188],"by":[189],"minimizing":[190],"mismatch":[192],"cluster":[195],"distributions":[196],"obtained":[197],"different":[199],"GCN":[200],"pipelines.":[201],"Extensive":[202],"experiments":[203],"conducted":[205],"seven":[207,225],"real-world":[208],"datasets.":[209],"Notably,":[210],"GLAC-GCN":[211],"achieves":[212],"best":[214],"ACC":[215],"(or":[216,221],"NMI)":[217],"scores":[218],"all":[220],"five)":[222],"datasets,":[226],"demonstrating":[227],"its":[228],"superiority":[229],"over":[230],"state-of-the-art":[232],"approaches.":[233],"Code":[234],"available:https://github.com/xuyuankun631/GLAC-GCN.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
