{"id":"https://openalex.org/W4225729075","doi":"https://doi.org/10.1109/ccis53392.2021.9754598","title":"Federated Graph Neural Network for Cross-graph Node Classification","display_name":"Federated Graph Neural Network for Cross-graph Node Classification","publication_year":2021,"publication_date":"2021-11-07","ids":{"openalex":"https://openalex.org/W4225729075","doi":"https://doi.org/10.1109/ccis53392.2021.9754598"},"language":"en","primary_location":{"id":"doi:10.1109/ccis53392.2021.9754598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","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/A5040005782","display_name":"Zeli Guan","orcid":"https://orcid.org/0000-0002-8822-0897"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeli Guan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633553","display_name":"Yawen Li","orcid":"https://orcid.org/0000-0003-2662-3444"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Economics and Management,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Economics and Management,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088046237","display_name":"Zhe Xue","orcid":"https://orcid.org/0000-0001-6123-0043"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Xue","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114804380","display_name":"Yuxin Liu","orcid":"https://orcid.org/0009-0002-3151-3856"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025435361","display_name":"Hongrui Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongrui Gao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014615052","display_name":"Yingxia Shao","orcid":"https://orcid.org/0000-0002-8559-2628"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxia Shao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":3.6376,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94163652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"422"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9983000159263611,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9656000137329102,"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/computer-science","display_name":"Computer science","score":0.769446849822998},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5402652025222778},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5196896195411682},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48444652557373047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769446849822998},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5402652025222778},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5196896195411682},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48444652557373047}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis53392.2021.9754598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2022322548","https://openalex.org/W2030252673","https://openalex.org/W2886219088","https://openalex.org/W2908109788","https://openalex.org/W2911388290","https://openalex.org/W2912240430","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2997964288","https://openalex.org/W3007345209","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6658176516","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6753705079","https://openalex.org/W6757641797","https://openalex.org/W6758580372","https://openalex.org/W6774120287"],"related_works":["https://openalex.org/W2553130930","https://openalex.org/W2913317685","https://openalex.org/W3160133939","https://openalex.org/W4288586756","https://openalex.org/W1516486508","https://openalex.org/W2245059056","https://openalex.org/W2029145332","https://openalex.org/W4319067727","https://openalex.org/W4285252891","https://openalex.org/W3173571314"],"abstract_inverted_index":{"In":[0,21,74],"this":[1],"paper,":[2],"we":[3,128,168],"propose":[4],"a":[5,105,130],"novel":[6],"distributed":[7],"scalable":[8],"federated":[9],"graph":[10,30,33,38,48,51,63,163],"neural":[11,100],"network":[12,101],"(FGNN)":[13],"to":[14,35,70,76,103,133,151,159,176],"solve":[15],"the":[16,22,28,43,46,54,78,83,97,144,153,161,178,181],"cross-graph":[17,24,88,135],"node":[18,25,107,115,136,164],"classification":[19,26,85,108,137,165],"problem.":[20],"existing":[23],"methods,":[27],"source":[29,47,59,118,141],"and":[31,40,49,65,72,110,119,124,143],"target":[32,50,120,145,162],"need":[34],"share":[36,62],"their":[37],"data":[39,64],"label,":[41],"for":[42,122,139],"nodes":[44,89],"in":[45,53],"are":[52,90],"same":[55],"semantic":[56],"space.":[57],"However,":[58],"graphs":[60,121,142],"cannot":[61],"label":[66],"without":[67],"encryption":[68,123],"due":[69],"regulations":[71],"interests.":[73],"order":[75],"satisfy":[77],"privacy":[79],"of":[80,87,117,180],"all":[81],"parties,":[82],"universal":[84],"rules":[86],"learned.":[91],"We":[92],"add":[93],"PATE":[94],"mechanism":[95],"into":[96],"domain":[98],"adversarial":[99],"(DANN)":[102],"construct":[104,134],"cross-network":[106],"model,":[109],"extract":[111],"effective":[112],"information":[113],"from":[114],"features":[116],"spatial":[125],"alignment.":[126],"Moreover,":[127],"use":[129],"one-to-one":[131],"approach":[132],"models":[138],"multiple":[140],"graph.":[146],"Federated":[147],"learning":[148],"is":[149],"used":[150],"train":[152],"model":[154],"jointly":[155],"through":[156],"multi-party":[157],"cooperation":[158],"complete":[160],"task.":[166],"Finally,":[167],"carry":[169],"out":[170],"extensive":[171],"experiments":[172],"on":[173],"five":[174],"datasets":[175],"demonstrate":[177],"effectiveness":[179],"proposed":[182],"method.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
