{"id":"https://openalex.org/W4381299244","doi":"https://doi.org/10.1109/tnsm.2023.3280916","title":"WDP-GAN: Weighted Graph Generation With GAN Under Differential Privacy","display_name":"WDP-GAN: Weighted Graph Generation With GAN Under Differential Privacy","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4381299244","doi":"https://doi.org/10.1109/tnsm.2023.3280916"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2023.3280916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2023.3280916","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","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/A5066737601","display_name":"Lihe Hou","orcid":"https://orcid.org/0000-0002-8328-5878"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihe Hou","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8328-5878","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027420557","display_name":"Weiwei Ni","orcid":"https://orcid.org/0000-0003-2534-4750"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Ni","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378902","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0003-3031-3721"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3031-3721","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009498760","display_name":"Nan Fu","orcid":"https://orcid.org/0000-0002-8595-8298"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Fu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101939480","display_name":"Dongyue Zhang","orcid":"https://orcid.org/0000-0002-9303-5549"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyue Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9303-5549","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066737601"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5112,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70458954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"20","issue":"4","first_page":"5155","last_page":"5165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681728601455688},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6406160593032837},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.534343421459198},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4960812032222748},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41187047958374023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.313198983669281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681728601455688},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6406160593032837},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.534343421459198},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4960812032222748},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41187047958374023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.313198983669281},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2023.3280916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2023.3280916","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G2803754969","display_name":null,"funder_award_id":"61772131","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1836465849","https://openalex.org/W1873763122","https://openalex.org/W2096870293","https://openalex.org/W2109426455","https://openalex.org/W2167372639","https://openalex.org/W2315942971","https://openalex.org/W2473418344","https://openalex.org/W2520442116","https://openalex.org/W2585835859","https://openalex.org/W2594834973","https://openalex.org/W2739748921","https://openalex.org/W2755088640","https://openalex.org/W2766587611","https://openalex.org/W2783466287","https://openalex.org/W2785361959","https://openalex.org/W2792402990","https://openalex.org/W2809607392","https://openalex.org/W2911915417","https://openalex.org/W2920220640","https://openalex.org/W2946617578","https://openalex.org/W2962756421","https://openalex.org/W2963952467","https://openalex.org/W2965730688","https://openalex.org/W2998690112","https://openalex.org/W3010537615","https://openalex.org/W3022679029","https://openalex.org/W3117066972","https://openalex.org/W3119876694","https://openalex.org/W3125963848","https://openalex.org/W3156502157","https://openalex.org/W3165031368","https://openalex.org/W3171289823","https://openalex.org/W3214714397","https://openalex.org/W4294558607","https://openalex.org/W4297799122","https://openalex.org/W4320013936","https://openalex.org/W4322614756","https://openalex.org/W6638667902","https://openalex.org/W6728897251","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6741832134","https://openalex.org/W6747732332","https://openalex.org/W6749578362","https://openalex.org/W6793925098"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W1970141429","https://openalex.org/W2571704763"],"abstract_inverted_index":{"Many":[0],"real-world":[1,181],"networks":[2],"can":[3,78,187],"be":[4],"represented":[5],"as":[6],"weighted":[7,51,73,86],"graphs,":[8],"where":[9],"weights":[10],"represent":[11],"the":[12,105,111,118,124,133,141,146,152,164,169],"closeness":[13],"or":[14],"importance":[15],"of":[16,36,83,117,135,148,168],"relationships":[17],"between":[18],"node":[19,99,136],"pairs.":[20,137],"Sharing":[21],"these":[22],"graphs":[23,82,189],"is":[24],"beneficial":[25],"for":[26,43],"many":[27],"applications":[28],"while":[29,88,108,172,195],"potentially":[30],"leading":[31],"to":[32,103,131,162],"privacy":[33],"breaches.":[34],"Variants":[35],"deep":[37],"learning":[38],"approaches":[39],"have":[40],"been":[41,56],"developed":[42],"synthetic":[44,81],"graph":[45,49,74,87],"publishing,":[46],"but":[47],"privacy-preserving":[48,72],"(especially":[50],"graph)":[52],"publishing":[53],"has":[54],"not":[55],"fully":[57],"addressed.":[58],"To":[59,92],"bridge":[60],"this":[61],"gap,":[62],"we":[63,95,122,155],"propose":[64,156],"WDP-GAN,":[65],"a":[66,84,97],"generative":[67],"adversarial":[68],"network":[69,130,182],"(GAN)":[70],"based":[71],"generation":[75],"approach,":[76],"which":[77],"generate":[79,104,188],"unlimited":[80],"given":[85],"ensuring":[89,173],"individual":[90,174],"privacy.":[91,175,198],"do":[93],"this,":[94],"devise":[96],"new":[98],"sequence":[100],"sampling":[101],"method":[102],"training":[106,170],"set":[107],"preserving":[109],"both":[110],"edge":[112,142],"weight":[113,143],"and":[114,166,178],"topological":[115],"structure":[116],"original":[119],"graph.":[120],"Moreover,":[121],"apply":[123],"bi-directional":[125],"long-short":[126],"term":[127],"memory":[128],"(Bi-LSTM)":[129],"capture":[132],"interdependence":[134],"WDP-GAN":[138,186],"then":[139],"approximates":[140],"information":[144],"using":[145],"frequencies":[147],"edges":[149],"produced":[150],"by":[151],"generator.":[153],"Furthermore,":[154],"an":[157],"adaptive":[158],"gradient":[159],"perturbation":[160],"algorithm":[161],"improve":[163],"speed":[165],"stability":[167],"process":[171],"Theoretical":[176],"analysis":[177],"experiments":[179],"on":[180],"datasets":[183],"show":[184],"that":[185,190],"effectively":[191],"preserve":[192],"structural":[193],"utility":[194],"satisfying":[196],"differential":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
