{"id":"https://openalex.org/W4401326172","doi":"https://doi.org/10.1109/tkde.2024.3434556","title":"Mixed-Modality Clustering via Generative Graph Structure Matching","display_name":"Mixed-Modality Clustering via Generative Graph Structure Matching","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4401326172","doi":"https://doi.org/10.1109/tkde.2024.3434556"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3434556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3434556","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5029128646","display_name":"Xiaxia He","orcid":"https://orcid.org/0000-0002-1517-6055"},"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":"Xiaxia He","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1517-6055","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091545406","display_name":"Boyue Wang","orcid":"https://orcid.org/0000-0002-2677-8342"},"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":"Boyue Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2677-8342","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China","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":"The 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":["Discipline of Business Analytics, University of Sydney Business School, University of Sydney, Camperdown, NSW, Australia","Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Camperdown, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9803-0256","affiliations":[{"raw_affiliation_string":"Discipline of Business Analytics, University of Sydney Business School, University of Sydney, Camperdown, 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, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417694","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0001-8217-5952"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8217-5952","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027329007","display_name":"Yongli Hu","orcid":"https://orcid.org/0000-0003-0440-438X"},"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":"Yongli Hu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0440-438X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"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 Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3121-1823","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, School of Information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5631,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61958809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"36","issue":"12","first_page":"8773","last_page":"8786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9828000068664551,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9828000068664551,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9811999797821045,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8684799075126648},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7202979326248169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759194135665894},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5812526941299438},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5494486689567566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5447787046432495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45246434211730957},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4172074794769287},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1956590712070465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17446616291999817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07503467798233032}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8684799075126648},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7202979326248169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759194135665894},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5812526941299438},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5494486689567566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5447787046432495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45246434211730957},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4172074794769287},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1956590712070465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17446616291999817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07503467798233032},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3434556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3434556","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1098515591","display_name":null,"funder_award_id":"62272015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6152166824","display_name":null,"funder_award_id":"92370102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","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":58,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W881606563","https://openalex.org/W1925193522","https://openalex.org/W2150593711","https://openalex.org/W2181159407","https://openalex.org/W2405459681","https://openalex.org/W2560185252","https://openalex.org/W2604114154","https://openalex.org/W2605146283","https://openalex.org/W2741943936","https://openalex.org/W2799150641","https://openalex.org/W2891475149","https://openalex.org/W2903938664","https://openalex.org/W2929030401","https://openalex.org/W2963573392","https://openalex.org/W2963714593","https://openalex.org/W2963764569","https://openalex.org/W2997951773","https://openalex.org/W3035663159","https://openalex.org/W3048942138","https://openalex.org/W3088663932","https://openalex.org/W3089039599","https://openalex.org/W3099183477","https://openalex.org/W3120213044","https://openalex.org/W3129342828","https://openalex.org/W3137030179","https://openalex.org/W3154138201","https://openalex.org/W3158986867","https://openalex.org/W3165208855","https://openalex.org/W3169978599","https://openalex.org/W3173532622","https://openalex.org/W3173630221","https://openalex.org/W3189403855","https://openalex.org/W3205512245","https://openalex.org/W3205673486","https://openalex.org/W3206294656","https://openalex.org/W4210836196","https://openalex.org/W4214642029","https://openalex.org/W4220898301","https://openalex.org/W4283798877","https://openalex.org/W4290713716","https://openalex.org/W4306761146","https://openalex.org/W4312280106","https://openalex.org/W4312973985","https://openalex.org/W4313041774","https://openalex.org/W4319068889","https://openalex.org/W4320008873","https://openalex.org/W4320713010","https://openalex.org/W4377710637","https://openalex.org/W4382281502","https://openalex.org/W4385290926","https://openalex.org/W4386065863","https://openalex.org/W4387968141","https://openalex.org/W4390873400","https://openalex.org/W6631216910","https://openalex.org/W6728550200","https://openalex.org/W6767624375","https://openalex.org/W6770805772"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,50,95,140,183],"mixed-modality":[3],"clustering,":[4,10],"which":[5,66],"differs":[6],"from":[7,16,103],"typical":[8],"multi-modality/view":[9,191],"is":[11,88,146,160],"to":[12,25,34,46,113,151,188],"divide":[13],"samples":[14,158],"derived":[15],"various":[17],"modalities":[18,38],"into":[19,76],"several":[20],"clusters.":[21],"This":[22],"task":[23],"has":[24],"solve":[26],"two":[27],"critical":[28],"semantic":[29],"gap":[30],"problems:":[31],"i)":[32],"how":[33,45],"generate":[35,115],"the":[36,40,48,55,68,72,81,99,107,138,153,163,168,181,184],"missing":[37],"without":[39],"pairwise-modality":[41,129],"data;":[42],"and":[43,71,159],"ii)":[44],"align":[47],"representations":[49,97,118,166],"heterogeneous":[51,73,141,164,170],"modalities.":[52],"To":[53],"tackle":[54],"above":[56],"problems,":[57],"this":[58,126],"paper":[59],"proposes":[60],"a":[61,77,85,128,149],"novel":[62],"mixedmodality":[63],"clustering":[64,192],"model,":[65],"integrates":[67],"missing-modality":[69,82,100,117],"generation":[70,83,94],"modality":[74,142,145,165],"alignment":[75],"unified":[78],"framework.":[79],"During":[80],"process,":[84],"bidirectional":[86],"mapping":[87],"established":[89],"between":[90],"different":[91],"modalities,":[92],"enabling":[93],"preliminary":[96],"for":[98,131],"using":[101],"information":[102],"another":[104],"modality.":[105],"Then":[106],"intra-modality":[108,123,157],"bipartite":[109],"graphs":[110],"are":[111],"constructed":[112],"help":[114],"better":[116],"by":[119],"weighted":[120],"aggregating":[121],"existing":[122],"neighbors.":[124],"In":[125,137],"way,":[127],"representation":[130],"each":[132,144],"sample":[133],"can":[134],"be":[135],"obtained.":[136],"process":[139],"alignment,":[143],"modelled":[147],"as":[148],"graph":[150,171],"capture":[152],"global":[154],"structure":[155],"among":[156],"aligned":[161],"against":[162],"through":[167],"adaptive":[169],"matching":[172],"module.":[173],"Experimental":[174],"results":[175],"on":[176],"three":[177],"public":[178],"datasets":[179],"show":[180],"effectiveness":[182],"proposed":[185],"model":[186],"compared":[187],"multiple":[189],"state-of-the-art":[190],"methods.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
