{"id":"https://openalex.org/W3108882399","doi":"https://doi.org/10.1109/tetci.2020.3035937","title":"SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets","display_name":"SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3108882399","doi":"https://doi.org/10.1109/tetci.2020.3035937","mag":"3108882399"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2020.3035937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3035937","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":"https://openalex.org/A5103127486","display_name":"Lijia Ma","orcid":"https://orcid.org/0000-0002-1201-8051"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijia Ma","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1201-8051","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109212204","display_name":"Yuchun Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Ma","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066935890","display_name":"Qiuzhen Lin","orcid":"https://orcid.org/0000-0003-2415-0401"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuzhen Lin","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2415-0401","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046906366","display_name":"Junkai Ji","orcid":"https://orcid.org/0000-0002-1985-938X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Ji","raw_affiliation_strings":["School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1985-938X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085548317","display_name":"Carlos A. Coello Coello","orcid":"https://orcid.org/0000-0002-8435-680X"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos A. Coello Coello","raw_affiliation_strings":["Department of Computer Science, CINVESTAV-IPN, M&#x00E9;xico, M&#x00E9;xico","Department of Computer Science, CINVESTAV-IPN, M&#x00E9","xico, M&#x00E9"],"raw_orcid":"https://orcid.org/0000-0002-8435-680X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, M&#x00E9;xico, M&#x00E9;xico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, M&#x00E9","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"xico, M&#x00E9","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"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":"Maoguo Gong","raw_affiliation_strings":["School of Electronic Engineering, the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","an, China","School of Electronic Engineering, the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic Engineering, the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4341,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8624518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"6","issue":"1","first_page":"136","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965999722480774,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/discriminator","display_name":"Discriminator","score":0.7852204442024231},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7457739114761353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.677879810333252},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6236678957939148},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5999453067779541},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5070130825042725},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4949626326560974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.478198766708374},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.4352811574935913},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4350600838661194},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.412462443113327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36225372552871704},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26731738448143005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2159041464328766},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09528917074203491},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09208086133003235}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7852204442024231},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7457739114761353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677879810333252},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6236678957939148},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5999453067779541},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5070130825042725},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4949626326560974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478198766708374},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.4352811574935913},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4350600838661194},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.412462443113327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36225372552871704},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26731738448143005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2159041464328766},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09528917074203491},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09208086133003235},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/tetci.2020.3035937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3035937","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G2344475295","display_name":null,"funder_award_id":"2020A1515010790","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4385782370","display_name":null,"funder_award_id":"61803269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5693537545","display_name":"\u590d\u6742\u73af\u5883\u4e0b\u7a7a\u4e2d/\u5730\u9762\u591a\u5f02\u6784\u673a\u5668\u4eba\u7acb\u4f53\u534f\u540c\u7b56\u7565\u7814\u7a76","funder_award_id":"61572330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6270178909","display_name":null,"funder_award_id":"61836009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7207572663","display_name":"\u79fb\u52a8\u652f\u4ed8\u5b89\u5168\u7406\u8bba\u6a21\u578b\u53ca\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G928586019","display_name":null,"funder_award_id":"61772393","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"},{"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":60,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1888005072","https://openalex.org/W1912982817","https://openalex.org/W1991408655","https://openalex.org/W2056398894","https://openalex.org/W2059225194","https://openalex.org/W2094013877","https://openalex.org/W2105951053","https://openalex.org/W2142517301","https://openalex.org/W2153624566","https://openalex.org/W2154851992","https://openalex.org/W2304198887","https://openalex.org/W2393319904","https://openalex.org/W2413527939","https://openalex.org/W2604942799","https://openalex.org/W2619206542","https://openalex.org/W2622849676","https://openalex.org/W2767500585","https://openalex.org/W2795735740","https://openalex.org/W2829536470","https://openalex.org/W2888807716","https://openalex.org/W2891649471","https://openalex.org/W2896852898","https://openalex.org/W2899804879","https://openalex.org/W2910556840","https://openalex.org/W2912917402","https://openalex.org/W2917532348","https://openalex.org/W2919538836","https://openalex.org/W2933150416","https://openalex.org/W2952343887","https://openalex.org/W2962756421","https://openalex.org/W2963169753","https://openalex.org/W2963512530","https://openalex.org/W2964121818","https://openalex.org/W2964268978","https://openalex.org/W2964565637","https://openalex.org/W2971287768","https://openalex.org/W2979258406","https://openalex.org/W2981405661","https://openalex.org/W2982195497","https://openalex.org/W2989427140","https://openalex.org/W2999038868","https://openalex.org/W3001038584","https://openalex.org/W3002433751","https://openalex.org/W3006625545","https://openalex.org/W3021941015","https://openalex.org/W3026802938","https://openalex.org/W3099565317","https://openalex.org/W3100378519","https://openalex.org/W3101023724","https://openalex.org/W3104038788","https://openalex.org/W3104097132","https://openalex.org/W4246219036","https://openalex.org/W4293651439","https://openalex.org/W6621378261","https://openalex.org/W6636774829","https://openalex.org/W6729001083","https://openalex.org/W6732195518","https://openalex.org/W6738964360","https://openalex.org/W6744557953"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W3108503355","https://openalex.org/W1489300767","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W2387995142"],"abstract_inverted_index":{"Network":[0],"embedding":[1],"(NE)":[2],"aims":[3],"to":[4,62,87,94,106],"learn":[5],"low-dimensional":[6,135],"node":[7,14,136],"representations":[8,137],"of":[9,40,111,138,154],"networks":[10,150],"while":[11],"preserving":[12],"essential":[13],"structures":[15,25,65],"and":[16,38,82,109,117,123,130,147,167],"properties.":[17],"Existing":[18],"NE":[19,159],"methods":[20,160],"mainly":[21],"preserve":[22,63],"simple":[23],"link":[24,64,164],"in":[26,35,161],"unsigned":[27],"networks,":[28],"neglecting":[29],"conflicting":[30],"relationships":[31],"that":[32,91],"widely":[33],"exist":[34],"social":[36],"media":[37],"Internet":[39],"things.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"a":[47,74,77,83,100,103,126],"novel":[48],"generative":[49],"adversarial":[50],"nets":[51],"learning":[52],"framework":[53],"(called":[54],"SNEGAN)":[55],"for":[56],"signed":[57,66,78,139,149],"network":[58,119],"embedding,":[59],"which":[60],"tries":[61],"by":[67],"positive":[68],"or":[69],"negative":[70],"labels.":[71],"SNEGAN":[72,155],"combines":[73,99],"generator":[75,116,122],"with":[76,102],"random":[79],"walker":[80],"technique":[81],"graph":[84],"softmax":[85],"function":[86,105],"generate":[88,134],"fake":[89],"links":[90,112],"are":[92],"used":[93],"deceive":[95],"discriminator.":[96],"Moreover,":[97],"it":[98],"discriminator":[101,124],"tanh":[104],"discriminate":[107],"truths":[108],"signs":[110],"sampled":[113],"from":[114],"the":[115,152,157],"real":[118],"structures.":[120],"The":[121],"play":[125],"two-player":[127],"minimax":[128],"game,":[129],"they":[131],"will":[132],"eventually":[133],"networks.":[140],"Extensive":[141],"experiments":[142],"on":[143],"both":[144,163],"LFR":[145],"benchmark":[146],"real-world":[148],"show":[151],"superiority":[153],"over":[156],"state-of-the-art":[158],"tackling":[162],"(sign)":[165],"prediction":[166],"reconstruction":[168],"tasks.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
