{"id":"https://openalex.org/W4403577802","doi":"https://doi.org/10.1145/3627673.3679759","title":"Privacy-Preserving Graph Embedding based on Local Differential Privacy","display_name":"Privacy-Preserving Graph Embedding based on Local Differential Privacy","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577802","doi":"https://doi.org/10.1145/3627673.3679759"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113134750","display_name":"Zening Li","orcid":"https://orcid.org/0009-0009-1364-0166"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zening Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-1364-0166","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742464","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0000-0001-8658-6599"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Hua Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8658-6599","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072218988","display_name":"Meihao Liao","orcid":"https://orcid.org/0000-0002-5808-3131"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihao Liao","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5808-3131","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019281790","display_name":"Fusheng Jin","orcid":"https://orcid.org/0000-0002-0609-8833"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fusheng Jin","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0609-8833","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1316","last_page":"1325"},"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":0.9965999722480774,"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/T10237","display_name":"Cryptography and Data Security","score":0.991100013256073,"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":0.8764795064926147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860400438308716},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5481888651847839},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.535038411617279},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5066131353378296},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5064362287521362},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.4351620674133301},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3680156469345093},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3338125944137573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17415472865104675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12216430902481079}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8764795064926147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860400438308716},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5481888651847839},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.535038411617279},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5066131353378296},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5064362287521362},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.4351620674133301},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3680156469345093},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3338125944137573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17415472865104675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12216430902481079}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W2053801139","https://openalex.org/W2101771965","https://openalex.org/W2125678004","https://openalex.org/W2169861334","https://openalex.org/W2245160765","https://openalex.org/W2395278586","https://openalex.org/W2406036028","https://openalex.org/W2431360964","https://openalex.org/W2766587611","https://openalex.org/W2961344605","https://openalex.org/W2963881987","https://openalex.org/W2964041447","https://openalex.org/W2989394982","https://openalex.org/W3039500550","https://openalex.org/W3101543043","https://openalex.org/W3112149836","https://openalex.org/W3156842467","https://openalex.org/W3160872503","https://openalex.org/W3168735469","https://openalex.org/W3169353485","https://openalex.org/W3214714397","https://openalex.org/W4224951377","https://openalex.org/W4226159313","https://openalex.org/W4308641868","https://openalex.org/W4313203118","https://openalex.org/W6648391474"],"related_works":["https://openalex.org/W3022534164","https://openalex.org/W2116878667","https://openalex.org/W4396832952","https://openalex.org/W3013058036","https://openalex.org/W3015944045","https://openalex.org/W4225340788","https://openalex.org/W1591172238","https://openalex.org/W2951971312","https://openalex.org/W2972172135","https://openalex.org/W4300474583"],"abstract_inverted_index":{"Graph":[0],"embedding":[1,48,62],"has":[2],"become":[3],"a":[4,14,58,96],"powerful":[5],"tool":[6],"for":[7],"learning":[8,24],"latent":[9],"representations":[10],"of":[11,99],"nodes":[12],"in":[13,20,133],"graph.":[15],"Despite":[16],"its":[17],"superior":[18],"performance":[19],"various":[21],"graph-based":[22],"machine":[23],"tasks,":[25],"serious":[26],"privacy":[27,54,101,125],"concerns":[28],"arise":[29],"when":[30],"the":[31,86,100,107],"graph":[32,47,61,115],"data":[33,69,80],"contains":[34],"personal":[35],"or":[36],"sensitive":[37],"information.":[38],"To":[39],"address":[40],"this":[41],"issue,":[42],"we":[43,72,94],"investigate":[44],"and":[45,81,103,126,128,136],"develop":[46],"algorithms":[49],"that":[50,118],"satisfy":[51],"local":[52],"differential":[53],"(LDP).":[55],"We":[56],"introduce":[57],"novel":[59],"privacy-preserving":[60],"framework,":[63],"named":[64],"PrivGE,":[65],"to":[66,77,89],"protect":[67],"node":[68,79,91,134],"privacy.":[70],"Specifically,":[71],"propose":[73],"an":[74,121],"LDP":[75],"mechanism":[76],"obfuscate":[78],"utilize":[82],"personalized":[83],"PageRank":[84],"as":[85],"proximity":[87],"measure":[88],"learn":[90],"representations.":[92],"Furthermore,":[93],"provide":[95],"theoretical":[97],"analysis":[98],"guarantees":[102],"utility":[104],"offered":[105],"by":[106],"PrivGE":[108,119],"framework.":[109],"Extensive":[110],"experiments":[111],"on":[112],"several":[113],"real-world":[114],"datasets":[116],"demonstrate":[117],"achieves":[120],"optimal":[122],"balance":[123],"between":[124],"utility,":[127],"significantly":[129],"outperforms":[130],"existing":[131],"methods":[132],"classification":[135],"link":[137],"prediction":[138],"tasks.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}