{"id":"https://openalex.org/W4412444645","doi":"https://doi.org/10.1109/tnnls.2025.3584384","title":"Multiview Temporal Graph Clustering","display_name":"Multiview Temporal Graph Clustering","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4412444645","doi":"https://doi.org/10.1109/tnnls.2025.3584384","pmid":"https://pubmed.ncbi.nlm.nih.gov/40663658"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3584384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3584384","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100457574","display_name":"Meng Liu","orcid":"https://orcid.org/0000-0003-3900-4204"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Liu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-3900-4204","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4837-455X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647391","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0001-9044-4841"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9044-4841","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017200032","display_name":"Lingyuan Meng","orcid":"https://orcid.org/0000-0002-2489-573X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyuan Meng","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2489-573X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9517-262X","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihang Zhou","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1491-4594","affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100457574"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":9.8488,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9824187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"36","issue":"10","first_page":"18383","last_page":"18396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9804999828338623,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9804999828338623,"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/T11106","display_name":"Data Management and Algorithms","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9433000087738037,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6513242721557617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5488824844360352},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4709509313106537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34694331884384155},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1424696445465088}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6513242721557617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5488824844360352},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4709509313106537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34694331884384155},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1424696445465088}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3584384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3584384","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40663658","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40663658","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2455478723","display_name":null,"funder_award_id":"62276271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3930773365","display_name":null,"funder_award_id":"62376279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6562299470","display_name":null,"funder_award_id":"62441618","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W138372711","https://openalex.org/W2150587298","https://openalex.org/W2154851992","https://openalex.org/W2162388373","https://openalex.org/W2199534117","https://openalex.org/W2560185252","https://openalex.org/W2563279629","https://openalex.org/W2769157493","https://openalex.org/W2798918712","https://openalex.org/W2808908091","https://openalex.org/W2895874728","https://openalex.org/W2896169497","https://openalex.org/W2899604627","https://openalex.org/W2951897416","https://openalex.org/W2964732194","https://openalex.org/W2965683718","https://openalex.org/W2970354123","https://openalex.org/W2986068433","https://openalex.org/W2997739739","https://openalex.org/W3002166600","https://openalex.org/W3002924435","https://openalex.org/W3004946360","https://openalex.org/W3008561560","https://openalex.org/W3042751648","https://openalex.org/W3047358409","https://openalex.org/W3094527485","https://openalex.org/W3120689699","https://openalex.org/W3128587100","https://openalex.org/W3136526008","https://openalex.org/W3136737181","https://openalex.org/W3154155788","https://openalex.org/W3165231040","https://openalex.org/W3173294575","https://openalex.org/W3189403855","https://openalex.org/W4220779330","https://openalex.org/W4220822815","https://openalex.org/W4280547572","https://openalex.org/W4280590775","https://openalex.org/W4284968770","https://openalex.org/W4315926876","https://openalex.org/W4323921635","https://openalex.org/W4367016851","https://openalex.org/W4379780957","https://openalex.org/W4382203265","https://openalex.org/W4382464116","https://openalex.org/W4385245566","https://openalex.org/W4389438301","https://openalex.org/W4390488744","https://openalex.org/W4390874473","https://openalex.org/W4391402357","https://openalex.org/W4391468014","https://openalex.org/W4392173777","https://openalex.org/W4392694056","https://openalex.org/W4392796768","https://openalex.org/W4393972734","https://openalex.org/W4394994664","https://openalex.org/W4399168602","https://openalex.org/W4399830438","https://openalex.org/W4400111732","https://openalex.org/W4400524870","https://openalex.org/W4400909625","https://openalex.org/W4403122937","https://openalex.org/W4403390515","https://openalex.org/W4403780824","https://openalex.org/W4403791290","https://openalex.org/W4405598738","https://openalex.org/W4405778792","https://openalex.org/W4413052173"],"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":{"As":[0],"an":[1],"emerging":[2],"task,":[3,46],"temporal":[4,14,140,164],"graph":[5,40,141,165],"clustering":[6,11,125],"(TGC)":[7],"is":[8,90],"committed":[9],"to":[10,92,108,134,146,157,166],"nodes":[12,79,82],"on":[13,138,171,202],"graphs":[15],"through":[16,180],"interaction":[17],"sequence-based":[18],"batch-processing":[19],"patterns.":[20],"These":[21,97,174],"patterns":[22],"allow":[23],"for":[24,105],"more":[25],"flexibility":[26],"in":[27,61,66],"finding":[28],"a":[29,44,62,120,159,199],"balance":[30],"between":[31],"time":[32],"and":[33,86,95,183,186,193,198,208,221],"space":[34],"requirements":[35],"than":[36],"adjacency":[37],"matrix-based":[38],"static":[39],"clustering.":[41],"However,":[42],"as":[43,54],"new":[45],"TGC":[47],"still":[48],"has":[49],"important":[50],"unresolved":[51],"challenges,":[52],"such":[53],"insufficient":[55,112],"information.":[56,113],"This":[57],"challenge":[58],"manifests":[59],"itself":[60],"variety":[63],"of":[64,162,210],"problems":[65,98],"real-world":[67,203],"datasets,":[68],"including":[69],"missing":[70,74],"features":[71],"(eigenvalues":[72],"are":[73,176,223],"or":[75],"even":[76],"nonexistent),":[77],"long-tail":[78],"(most":[80],"inactive":[81],"have":[83],"little":[84],"interaction),":[85],"noisy":[87],"data":[88,136,222],"(data":[89],"subject":[91],"anomalies,":[93],"errors,":[94],"sparsity).":[96],"occur":[99],"before":[100],"training,":[101],"making":[102],"it":[103],"difficult":[104],"the":[106,116,139,148,163,189,206],"model":[107,158],"train":[109],"well":[110],"with":[111],"To":[114],"solve":[115],"challenge,":[117],"we":[118,153],"propose":[119],"method":[121,132],"that":[122],"introduces":[123],"multiview":[124],"(MVC)":[126],"into":[127,178],"TGC,":[128],"called":[129],"MVTGC.":[130],"Our":[131],"aims":[133],"perform":[135],"augmentation":[137],"by":[142],"constructing":[143],"multiple":[144],"views":[145,169,175],"increase":[147],"information":[149,194],"richness.":[150,195],"In":[151],"particular,":[152],"utilize":[154],"different":[155,172],"techniques":[156],"certain":[160],"part":[161],"generate":[167],"enhanced":[168],"focusing":[170],"angles.":[173],"combined":[177],"training":[179],"early":[181],"fusion":[182,185],"late":[184],"ultimately":[187],"enhance":[188],"model's":[190],"receptive":[191],"field":[192],"Comparative":[196],"experiments":[197],"case":[200],"study":[201],"datasets":[204],"demonstrate":[205],"significance":[207],"effectiveness":[209],"MVTGC,":[211],"which":[212],"achieves":[213],"at":[214,225],"most":[215],"10.48%":[216],"performance":[217],"improvement.":[218],"The":[219],"code":[220],"available":[224],"https://github.com/MGitHubL/MVTGC.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}