{"id":"https://openalex.org/W4312473781","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892037","title":"Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN)","display_name":"Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN)","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312473781","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892037"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892037","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5045448263","display_name":"Kangjie Li","orcid":"https://orcid.org/0000-0001-9287-7392"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Kangjie Li","raw_affiliation_strings":["The Hong Kong University of Science and Technology Clear Water Bay,Department of Mechanical and Aerospace Engineering,Kowloon,Hong Kong","Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong","State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology Clear Water Bay,Department of Mechanical and Aerospace Engineering,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045448263"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I76130692","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.1044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.327292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","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":0.9994999766349792,"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":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.995199978351593,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721593737602234},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6001359224319458},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5718740224838257},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5422443151473999},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5201297402381897},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5160815119743347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46702292561531067},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3963104784488678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35737085342407227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3451141119003296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721593737602234},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6001359224319458},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5718740224838257},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5422443151473999},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5201297402381897},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5160815119743347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46702292561531067},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3963104784488678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35737085342407227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3451141119003296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892037","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123613","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000867070901047","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8018947900","display_name":null,"funder_award_id":"LR22E050006","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1959608418","https://openalex.org/W2125389028","https://openalex.org/W2154851992","https://openalex.org/W2257979135","https://openalex.org/W2387462954","https://openalex.org/W2962756421","https://openalex.org/W2963169753","https://openalex.org/W2963226019","https://openalex.org/W2963241486","https://openalex.org/W2963250052","https://openalex.org/W2963312446","https://openalex.org/W2963761396","https://openalex.org/W2964015378","https://openalex.org/W2981450816","https://openalex.org/W2983807605","https://openalex.org/W2985331920","https://openalex.org/W2993761465","https://openalex.org/W2995345478","https://openalex.org/W3005644236","https://openalex.org/W3027325047","https://openalex.org/W3034334914","https://openalex.org/W3035035537","https://openalex.org/W3035570181","https://openalex.org/W3035593893","https://openalex.org/W3040313359","https://openalex.org/W3048958729","https://openalex.org/W3052570231","https://openalex.org/W3104097132","https://openalex.org/W3115385615","https://openalex.org/W3132455321","https://openalex.org/W3134072892","https://openalex.org/W3135156311","https://openalex.org/W3216759837","https://openalex.org/W4297733535","https://openalex.org/W4320013936","https://openalex.org/W4322614756","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6685777725","https://openalex.org/W6699364125","https://openalex.org/W6718140377","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6745537798","https://openalex.org/W6769092588","https://openalex.org/W6771621015","https://openalex.org/W6773224681","https://openalex.org/W6779241828","https://openalex.org/W6787553975"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W2969399009"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"networks":[2,29],"(GANs)":[3],"have":[4,38],"attracted":[5],"considerable":[6],"attention":[7],"due":[8],"to":[9,16,33,51,81,110,139],"the":[10,24,35,53,57,66,72,128,141,152,158],"generator":[11,100],"having":[12],"fewer":[13],"restrictions":[14],"compared":[15],"existing":[17],"techniques":[18],"like":[19],"Boltzmann":[20],"machines.":[21],"However,":[22],"in":[23],"field":[25],"of":[26,98,154],"graph":[27],"convolutional":[28],"(GCNs),":[30],"most":[31],"efforts":[32],"improve":[34,87,140],"embedding":[36,55],"quality":[37],"focused":[39],"on":[40,144,157],"making":[41],"node":[42,54,77,84,89,106,122],"representations":[43],"contain":[44],"more":[45],"structural":[46],"information,":[47],"and":[48,86,108,114],"a":[49,99,112,115,145],"method":[50],"optimize":[52],"using":[56],"adversary":[58],"concept":[59],"has":[60],"thus":[61,93],"far":[62],"been":[63],"lacking.":[64],"In":[65],"present":[67],"work,":[68],"we":[69],"discover":[70],"that":[71,104,120,135],"adjacency":[73],"matrix":[74],"generated":[75],"from":[76],"labels":[78,109],"is":[79,130,137],"helpful":[80],"learn":[82],"better":[83],"embeddings":[85,107,123],"semi-supervised":[88],"classification":[90,113,142],"accuracy.":[91],"We":[92],"propose":[94],"GANA-GCN,":[95],"which":[96],"consists":[97],"<tex":[101,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[102,118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$G$</tex>":[103],"learns":[105],"make":[111],"discriminator":[116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$D$</tex>":[119],"encourages":[121],"include":[124],"label":[125],"information":[126],"when":[127],"discriminability":[129],"weakened.":[131],"Experimental":[132],"results":[133],"demonstrate":[134],"GANA-GCN":[136],"effective":[138],"accuracy":[143],"non-Euclidean":[146],"dataset.":[147],"Sensitivity":[148],"analysis":[149],"further":[150],"illustrates":[151],"effect":[153],"key":[155],"parameters":[156],"overall":[159],"performance.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}