{"id":"https://openalex.org/W4381744378","doi":"https://doi.org/10.1109/cscwd57460.2023.10152677","title":"Self-supervised community detection in multiplex networks with graph convolutional autoencoder","display_name":"Self-supervised community detection in multiplex networks with graph convolutional autoencoder","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744378","doi":"https://doi.org/10.1109/cscwd57460.2023.10152677"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152677","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5114910906","display_name":"Xingyu Liu","orcid":"https://orcid.org/0000-0002-1741-6390"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyu Liu","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China,510631"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028868684","display_name":"Junwei Cheng","orcid":"https://orcid.org/0000-0001-9582-1917"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Cheng","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China,510631","Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705765","display_name":"Hao Cheng","orcid":"https://orcid.org/0000-0001-5146-7231"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Cheng","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China,510631"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026139698","display_name":"Chaobo He","orcid":"https://orcid.org/0000-0002-6651-1175"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobo He","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China,510631","Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089265916","display_name":"Qimai Chen","orcid":"https://orcid.org/0009-0009-5909-958X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimai Chen","raw_affiliation_strings":["South China Normal University,School of Computer Science,Guangzhou,China,510631"],"affiliations":[{"raw_affiliation_string":"South China Normal University,School of Computer Science,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084935157","display_name":"Quanlong Guan","orcid":"https://orcid.org/0000-0001-6911-3853"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanlong Guan","raw_affiliation_strings":["Jinan University,College of Information Science and Technology,GuangZhou,China,510631"],"affiliations":[{"raw_affiliation_string":"Jinan University,College of Information Science and Technology,GuangZhou,China,510631","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114910906"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13229192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1378","last_page":"1383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.968999981880188,"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"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.968999981880188,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9602000117301941,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9513999819755554,"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/computer-science","display_name":"Computer science","score":0.7836068868637085},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7205328941345215},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5397141575813293},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5193713307380676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4675382971763611},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4487336575984955},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4289141893386841},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4230848550796509},{"id":"https://openalex.org/keywords/multiplex","display_name":"Multiplex","score":0.4110381603240967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39184221625328064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36688053607940674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.337721049785614},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.19622430205345154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10119900107383728},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.0823458731174469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836068868637085},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7205328941345215},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5397141575813293},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5193713307380676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4675382971763611},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4487336575984955},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4289141893386841},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4230848550796509},{"id":"https://openalex.org/C2781188995","wikidata":"https://www.wikidata.org/wiki/Q6934982","display_name":"Multiplex","level":2,"score":0.4110381603240967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39184221625328064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36688053607940674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.337721049785614},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.19622430205345154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10119900107383728},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0823458731174469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152677","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2049983311","https://openalex.org/W2219512485","https://openalex.org/W4293665714","https://openalex.org/W1977633309","https://openalex.org/W2387536556","https://openalex.org/W3094650923"],"abstract_inverted_index":{"Community":[0],"detection":[1,58,71,179],"in":[2,9,38,94,109,115,144,181],"multiplex":[3,40,69,200],"networks":[4],"has":[5],"received":[6],"considerable":[7],"attention":[8],"recent":[10],"years.":[11],"However,":[12],"existing":[13],"methods":[14],"that":[15],"combine":[16,123],"graph":[17,79,154],"embedding":[18],"and":[19,42,104,112,127,162,193],"downstream":[20,191],"tasks":[21,192],"still":[22],"face":[23],"two":[24],"challenges.":[25],"The":[26,98],"first":[27,85],"is":[28,45,76,143],"how":[29,46],"to":[30,47,55,132],"fully":[31],"explore":[32],"the":[33,36,39,43,49,56,84,89,95,119,135,138,147,159,167,174,177,187,204],"correlation":[34],"among":[35],"layers":[37],"networks,":[41],"second":[44,120],"make":[48],"learned":[50],"node":[51,113],"representation":[52,103,106,114],"more":[53,194],"applicable":[54],"community":[57,70,178],"tasks.":[59],"Aiming":[60],"at":[61],"these":[62],"challenges,":[63],"we":[64,87,122],"propose":[65],"a":[66,124,128],"novel":[67],"self-supervised":[68],"model":[72,175,188],"called":[73],"MGCAE":[74],"which":[75,142,185],"based":[77],"on":[78,197],"neural":[80],"networks.":[81],"To":[82],"solve":[83],"challenge,":[86,121],"compute":[88],"mutual":[90,99],"information":[91,100],"maximization":[92,130],"loss":[93,126,131,169],"self-supervision":[96],"module.":[97],"includes":[101],"global":[102],"common":[105],"of":[107,137,150,190,206],"nodes":[108],"different":[110],"layers,":[111],"each":[116],"layer.":[117],"For":[118],"Bernoulli-Poisson":[125],"modularity":[129],"jointly":[133],"optimize":[134],"reconstruction":[136],"original":[139],"adjacency":[140],"matrix,":[141],"line":[145],"with":[146],"rigorous":[148],"theory":[149],"modularity.":[151],"We":[152],"treat":[153],"convolutional":[155],"autoencoder":[156],"(GCAE)":[157],"as":[158],"backbone":[160],"framework":[161],"train":[163],"it":[164],"by":[165],"using":[166],"unified":[168],"mentioned":[170],"above.":[171],"In":[172],"addition,":[173],"obtains":[176],"results":[180],"an":[182],"end-to-end":[183],"manner,":[184],"makes":[186],"independent":[189],"stable.":[195],"Experiments":[196],"real-world":[198],"attributed":[199],"network":[201],"datasets":[202],"demonstrate":[203],"effectiveness":[205],"our":[207],"model.":[208]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}