{"id":"https://openalex.org/W4406457446","doi":"https://doi.org/10.1109/tetci.2025.3526281","title":"AGCTO: Attributed Graph Clustering With Transitive Order Convolutional Autoencoder","display_name":"AGCTO: Attributed Graph Clustering With Transitive Order Convolutional Autoencoder","publication_year":2025,"publication_date":"2025-01-16","ids":{"openalex":"https://openalex.org/W4406457446","doi":"https://doi.org/10.1109/tetci.2025.3526281"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3526281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3526281","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational 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":null,"display_name":"Ying Xie","orcid":"https://orcid.org/0000-0002-6419-3986"},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Xie","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Putian, China"],"raw_orcid":"https://orcid.org/0000-0002-6419-3986","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Putian, China","institution_ids":["https://openalex.org/I64449678"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jixiang Wang","orcid":"https://orcid.org/0009-0003-4321-8325"},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Wang","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Putian, China"],"raw_orcid":"https://orcid.org/0009-0003-4321-8325","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Putian, China","institution_ids":["https://openalex.org/I64449678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779807","display_name":"Weihua Liu","orcid":"https://orcid.org/0000-0002-1967-6583"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Liu","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1967-6583","affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446064","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9301-5989"},"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":"Hao Wang","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9301-5989","affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044105477","display_name":"Yushan Pan","orcid":"https://orcid.org/0000-0002-6877-3937"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Pan","raw_affiliation_strings":["Department of Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6877-3937","affiliations":[{"raw_affiliation_string":"Department of Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030845033","display_name":"Lijie Wen","orcid":"https://orcid.org/0000-0003-0358-3160"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijie Wen","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0358-3160","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057303331","display_name":"Rongbin Xu","orcid":"https://orcid.org/0000-0001-7726-8193"},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongbin Xu","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Putian, China"],"raw_orcid":"https://orcid.org/0000-0001-7726-8193","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Putian, China","institution_ids":["https://openalex.org/I64449678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035343733","display_name":"Yun Yang","orcid":"https://orcid.org/0000-0002-7868-5471"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yun Yang","raw_affiliation_strings":["Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7868-5471","affiliations":[{"raw_affiliation_string":"Department of Computing Technologies, Swinburne University of Technology, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2282,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82061922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":"2","first_page":"1111","last_page":"1122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9733999967575073,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9733999967575073,"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/T10320","display_name":"Neural Networks and Applications","score":0.9707000255584717,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9369000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.7969350814819336},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7514116764068604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.582477331161499},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5721315145492554},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4505808353424072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.415740430355072},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.36294233798980713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33386921882629395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33245939016342163},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10108095407485962},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.04512912034988403}],"concepts":[{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.7969350814819336},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7514116764068604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.582477331161499},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5721315145492554},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4505808353424072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.415740430355072},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36294233798980713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33386921882629395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33245939016342163},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10108095407485962},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.04512912034988403},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3526281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3526281","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G8845237145","display_name":null,"funder_award_id":"62276146","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":40,"referenced_works":["https://openalex.org/W1971421925","https://openalex.org/W2022704179","https://openalex.org/W2023655578","https://openalex.org/W2154851992","https://openalex.org/W2168103112","https://openalex.org/W2604443623","https://openalex.org/W2793841183","https://openalex.org/W2808409763","https://openalex.org/W2964732194","https://openalex.org/W3007149367","https://openalex.org/W3015140126","https://openalex.org/W3035665545","https://openalex.org/W3123160711","https://openalex.org/W3186458388","https://openalex.org/W3191244312","https://openalex.org/W3193659977","https://openalex.org/W3196261868","https://openalex.org/W3198879735","https://openalex.org/W3200512609","https://openalex.org/W3213104978","https://openalex.org/W3217036395","https://openalex.org/W4205414295","https://openalex.org/W4206331376","https://openalex.org/W4210541032","https://openalex.org/W4214816716","https://openalex.org/W4221166060","https://openalex.org/W4226424035","https://openalex.org/W4280644226","https://openalex.org/W4282825189","https://openalex.org/W4283390813","https://openalex.org/W4290927778","https://openalex.org/W4306317405","https://openalex.org/W4310252801","https://openalex.org/W4311489591","https://openalex.org/W4312644341","https://openalex.org/W4315652696","https://openalex.org/W4318596171","https://openalex.org/W4384103885","https://openalex.org/W4387309424","https://openalex.org/W4388505202"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2891286602"],"abstract_inverted_index":{"Attributed":[0],"graphs,":[1],"which":[2],"associate":[3],"vertices":[4],"or":[5],"edges":[6],"with":[7],"attributes,":[8],"are":[9],"essential":[10],"in":[11,155],"applications":[12],"like":[13],"social":[14],"network":[15],"analysis,":[16],"recommendation":[17],"systems,":[18],"bioinformatics,":[19],"and":[20,26,39,48,51,88,126,136,139,147,162,176],"healthcare":[21],"analysis.":[22],"However,":[23],"their":[24],"high-dimensional":[25],"non-Euclidean":[27],"nature":[28],"complicates":[29],"tasks":[30],"such":[31],"as":[32],"vertex":[33],"classification,":[34],"community":[35],"detection,":[36],"graph":[37,40,56,123,141,171,174],"visualization,":[38],"embedding.":[41],"Existing":[42],"techniques":[43],"often":[44],"inadequately":[45],"integrate":[46],"structural":[47,87],"attribute":[49,89,135],"data,":[50],"reconstruction-centric":[52],"models":[53],"can":[54],"compromise":[55],"topology.":[57,142],"Additionally,":[58],"many":[59],"methods":[60],"require":[61],"extensive":[62],"manual":[63],"hyperparameter":[64],"tuning.":[65],"To":[66],"address":[67],"these":[68],"challenges,":[69],"we":[70],"introduceAttributedGraphClustering":[71],"withTransitiveOrder":[72],"convolutional":[73],"autoencoder":[74],"(AGCTO).":[75],"AGCTO":[76,164],"uses":[77],"a":[78,121,127,166],"Graph":[79,96],"Transitive":[80],"Convolutional":[81],"AutoEncoder":[82],"(GTCAE)":[83],"framework":[84],"that":[85],"integrates":[86],"information.":[90],"A":[91],"key":[92],"innovation":[93],"is":[94],"the":[95,115],"ORder":[97],"Distance":[98],"(GORD),":[99],"capturing":[100],"topological":[101],"relationships":[102],"to":[103],"enhance":[104],"clustering":[105,156],"performance.":[106,179],"AGCTO's":[107,153],"unified":[108],"loss":[109,113,119],"function":[110],"combines":[111],"GTCAE":[112,118],"on":[114,120,144],"original":[116],"graph,":[117],"simplified":[122],"via":[124],"GORD,":[125],"topology-preserving":[128],"loss.":[129],"This":[130],"ensures":[131],"effective":[132],"fusion":[133],"of":[134],"structure":[137],"data":[138],"preserves":[140],"Evaluations":[143],"four":[145],"real-world":[146],"two":[148],"synthetic":[149],"attributed":[150,170],"graphs":[151],"show":[152],"superiority":[154],"accuracy,":[157],"normalized":[158],"mutual":[159],"information,":[160],"F1-score,":[161],"Q-modularity.":[163],"offers":[165],"robust":[167],"solution":[168],"for":[169],"clustering,":[172],"maintaining":[173],"topology":[175],"delivering":[177],"superior":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}