{"id":"https://openalex.org/W3199926684","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534065","title":"Disentangled-based Adversarial Network for Multiplex Network Embedding","display_name":"Disentangled-based Adversarial Network for Multiplex Network Embedding","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199926684","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534065","mag":"3199926684"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5077918582","display_name":"Shimeng Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shimeng Zhan","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025534588","display_name":"Nianwen Ning","orcid":"https://orcid.org/0000-0001-9290-0361"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianwen Ning","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012251323","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0002-5159-2312"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873814","display_name":"Lianwei Li","orcid":"https://orcid.org/0009-0003-8310-420X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianwei Li","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043114890","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0001-5787-9536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608154","display_name":"Bai Wang","orcid":"https://orcid.org/0009-0007-4592-795X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Wang","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077918582"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5508855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9952999949455261,"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/relation","display_name":"Relation (database)","score":0.7886402606964111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062280178070068},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6933060884475708},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6920085549354553},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6109012365341187},{"id":"https://openalex.org/keywords/multiplex","display_name":"Multiplex","score":0.6092272400856018},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5056416988372803},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4788253605365753},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4706634283065796},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4489452540874481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4412306845188141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4359768033027649},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18701201677322388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07662853598594666}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7886402606964111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062280178070068},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6933060884475708},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6920085549354553},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6109012365341187},{"id":"https://openalex.org/C2781188995","wikidata":"https://www.wikidata.org/wiki/Q6934982","display_name":"Multiplex","level":2,"score":0.6092272400856018},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5056416988372803},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4788253605365753},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4706634283065796},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4489452540874481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4412306845188141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4359768033027649},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18701201677322388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07662853598594666},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G160562825","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320336807","funder_display_name":"National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research"},{"id":"https://openalex.org/G3915844376","display_name":null,"funder_award_id":"61972047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7208197312","display_name":null,"funder_award_id":"2018YFC0831500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336807","display_name":"National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1647431324","https://openalex.org/W1888005072","https://openalex.org/W1979104937","https://openalex.org/W2099471712","https://openalex.org/W2127048411","https://openalex.org/W2138399168","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2785519580","https://openalex.org/W2787612455","https://openalex.org/W2798673265","https://openalex.org/W2808361044","https://openalex.org/W2808409763","https://openalex.org/W2808466528","https://openalex.org/W2808707363","https://openalex.org/W2808987817","https://openalex.org/W2944309452","https://openalex.org/W2945266622","https://openalex.org/W2951554414","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2962904108","https://openalex.org/W2963104724","https://openalex.org/W2963127791","https://openalex.org/W2963169753","https://openalex.org/W2963512530","https://openalex.org/W2963657860","https://openalex.org/W2963782635","https://openalex.org/W2964015378","https://openalex.org/W2964565637","https://openalex.org/W2995448904","https://openalex.org/W3012568466","https://openalex.org/W3012752604","https://openalex.org/W3034229012","https://openalex.org/W3100330855","https://openalex.org/W3102201777","https://openalex.org/W3102641634","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3134973662","https://openalex.org/W4294558607","https://openalex.org/W4320013936","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6746002097","https://openalex.org/W6746327351","https://openalex.org/W6747581376","https://openalex.org/W6748223763","https://openalex.org/W6752365561","https://openalex.org/W6769589523","https://openalex.org/W6778484477"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3006199032","https://openalex.org/W2067317451","https://openalex.org/W2086397253","https://openalex.org/W1963826946","https://openalex.org/W2087421209","https://openalex.org/W2547948671","https://openalex.org/W4281783318","https://openalex.org/W2133122801","https://openalex.org/W2154771632"],"abstract_inverted_index":{"Multiplex":[0,81],"networks":[1],"contain":[2],"multiple":[3],"types":[4],"of":[5,32,64,139],"relations":[6],"between":[7,58,96,119],"nodes,":[8],"where":[9],"each":[10,65,123],"relation":[11,23,98,124],"type":[12,24],"is":[13],"modeled":[14],"as":[15],"one":[16],"layer.":[17],"In":[18],"the":[19,56,62,69,91,117,137],"real":[20],"world,":[21],"a":[22,73,103],"may":[25],"only":[26,40],"depend":[27],"on":[28,42,110,130,141],"certain":[29],"attribute":[30],"features":[31],"nodes.":[33],"Most":[34],"existing":[35],"multiplex":[36,50],"network":[37,107],"embedding":[38],"methods":[39,54],"focus":[41],"preserving":[43],"consistent":[44,92],"information":[45,48,95],"or":[46],"complementary":[47,94],"from":[49],"networks.":[51],"However,":[52],"these":[53],"ignore":[55],"dependency":[57,118],"node":[59,120,145],"attributes":[60,121],"and":[61,93,122,144],"topology":[63],"relation.":[66],"To":[67],"address":[68],"problem,":[70],"we":[71,101],"propose":[72],"model":[74],"called":[75],"DAME":[76,114,140],"(Disentangled-based":[77],"Adversarial":[78],"Network":[79,82],"for":[80],"Embedding).":[83],"We":[84,126],"utilize":[85],"generative":[86],"adversarial":[87],"learning":[88],"to":[89,115],"preserve":[90],"different":[97],"types.":[99],"Meanwhile,":[100],"develop":[102],"disentangled":[104,111],"graph":[105],"convolution":[106],"(DGCN)":[108],"based":[109],"learning,":[112],"enabling":[113],"capture":[116],"type.":[125],"conduct":[127],"extensive":[128],"experiments":[129],"five":[131],"realworld":[132],"datasets.":[133],"Experimental":[134],"results":[135],"indicate":[136],"effectiveness":[138],"link":[142],"prediction":[143],"classification":[146],"tasks.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}