{"id":"https://openalex.org/W2961344605","doi":"https://doi.org/10.1109/access.2019.2927365","title":"Graph Embedding Matrix Sharing With Differential Privacy","display_name":"Graph Embedding Matrix Sharing With Differential Privacy","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2961344605","doi":"https://doi.org/10.1109/access.2019.2927365","mag":"2961344605"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2927365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756264.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756264.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3031-3721","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","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":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100378902"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7421,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8870047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"89390","last_page":"89399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9836000204086304,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9789000153541565,"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/differential-privacy","display_name":"Differential privacy","score":0.6392384767532349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637382447719574},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.6187543272972107},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5166952610015869},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5084168314933777},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44779253005981445},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.424900621175766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29720455408096313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17793413996696472}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6392384767532349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637382447719574},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.6187543272972107},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5166952610015869},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5084168314933777},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44779253005981445},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.424900621175766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29720455408096313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17793413996696472},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2927365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756264.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6f92cd61bac1429ba51e1488ecfc8b73","is_oa":true,"landing_page_url":"https://doaj.org/article/6f92cd61bac1429ba51e1488ecfc8b73","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 89390-89399 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2927365","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927365","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08756264.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2961344605.pdf","grobid_xml":"https://content.openalex.org/works/W2961344605.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1574851760","https://openalex.org/W1602085912","https://openalex.org/W1873763122","https://openalex.org/W2009952684","https://openalex.org/W2010523825","https://openalex.org/W2026417691","https://openalex.org/W2027595342","https://openalex.org/W2083287929","https://openalex.org/W2085472312","https://openalex.org/W2107633422","https://openalex.org/W2108614537","https://openalex.org/W2119874464","https://openalex.org/W2130789338","https://openalex.org/W2150611147","https://openalex.org/W2155461593","https://openalex.org/W2163485494","https://openalex.org/W2168433392","https://openalex.org/W2296635479","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2473418344","https://openalex.org/W2781189798","https://openalex.org/W2798909945","https://openalex.org/W2809206206","https://openalex.org/W2809607392","https://openalex.org/W2812083516","https://openalex.org/W2887231273","https://openalex.org/W2911876570","https://openalex.org/W2950943617","https://openalex.org/W2963224980","https://openalex.org/W2963586744","https://openalex.org/W2963741669","https://openalex.org/W3006663570","https://openalex.org/W3137654308","https://openalex.org/W4205228770","https://openalex.org/W6634474516","https://openalex.org/W6636247774","https://openalex.org/W6639246211","https://openalex.org/W6677855611","https://openalex.org/W6679290131","https://openalex.org/W6681804681","https://openalex.org/W6683180375","https://openalex.org/W6697593737","https://openalex.org/W6747444909","https://openalex.org/W6752412868","https://openalex.org/W6758727732"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Graph":[0],"embedding":[1,9,36,53,83,113,152,223],"maps":[2],"a":[3,88,142,156,167,180,196],"graph":[4,14,24,35,43,47,112,132,151],"into":[5],"low-dimensional":[6],"vectors,":[7],"i.e.,":[8],"matrix,":[10],"while":[11,95,210,229],"preserving":[12],"the":[13,17,39,42,52,57,66,75,78,82,136,160,164,178,190,202,212,226,238],"structure,":[15],"solving":[16],"high":[18,118],"computation":[19],"and":[20,166,240],"space":[21],"cost":[22],"for":[23,91,149,173],"analysis.":[25],"Matrix":[26],"factorization":[27],"(MF)":[28],"is":[29,77,87,187,193,205],"an":[30],"effective":[31],"means":[32,200],"to":[33,80,183,207],"achieve":[34],"since":[37],"maintaining":[38],"utility":[40,76,129,227],"of":[41,130,163,242],"structure.":[44],"The":[45,98,214,234],"personalized":[46],"structure":[48],"features":[49],"implied":[50],"in":[51,65,201],"matrix":[54,153,224],"can":[55,220],"identify":[56],"individual,":[58],"which":[59],"potentially":[60,126],"breaches":[61],"individual":[62,71],"sensitive":[63,93],"information":[64,94],"original":[67,191],"graph.":[68],"Currently,":[69],"protecting":[70,96],"privacy":[72,86,209],"without":[73],"compromising":[74],"key":[79],"sharing":[81],"matrix.":[84],"Differential":[85],"gold":[89],"standard":[90],"publishing":[92],"privacy.":[97,233],"existing":[99],"methods":[100],"on":[101,159,189],"differentially":[102,143],"private":[103,144],"MF,":[104],"however,":[105],"cannot":[106],"be":[107],"directly":[108],"incorporated":[109],"onto":[110],"MF-based":[111,131,150],"as":[114],"they":[115],"undergo":[116],"either":[117],"global":[119,175,184],"sensitivity":[120,185],"or":[121],"iterative":[122],"noise":[123,198],"error":[124],"accumulation,":[125],"rendering":[127],"poor":[128],"embedding.":[133],"To":[134],"address":[135],"deficiency,":[137],"this":[138],"study":[139],"proposes":[140],"PPGD,":[141],"perturbed":[145],"gradient":[146,168,203],"descent":[147,204],"method":[148],"sharing.":[154],"Specifically,":[155],"Lipschitz":[157],"condition":[158],"objective":[161],"function":[162],"MF":[165],"clipping":[169],"strategy":[170],"are":[171],"devised":[172],"bounding":[174],"sensitivity.":[176],"Along":[177],"way,":[179],"scalable":[181],"solution":[182],"that":[186,218],"independent":[188],"dataset":[192],"proposed.":[194],"Further,":[195],"composite":[197],"added":[199],"designed":[206],"guarantee":[208],"enhancing":[211],"utility.":[213],"theoretical":[215],"analysis":[216],"shows":[217],"PPGD":[219],"generate":[221],"processed":[222],"with":[225],"maximization":[228],"achieving":[230],"(\u03b5,":[231],"\u03b4)-differential":[232],"experimental":[235],"evaluations":[236],"confirm":[237],"effectiveness":[239],"efficiency":[241],"PPGD.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
