{"id":"https://openalex.org/W4413755897","doi":"https://doi.org/10.14778/3718057.3718061","title":"OpenFGL: A Comprehensive Benchmark for Federated Graph Learning","display_name":"OpenFGL: A Comprehensive Benchmark for Federated Graph Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413755897","doi":"https://doi.org/10.14778/3718057.3718061"},"language":"en","primary_location":{"id":"doi:10.14778/3718057.3718061","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3718057.3718061","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5028148241","display_name":"Xunkai Li","orcid":"https://orcid.org/0000-0002-1230-7603"},"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":true,"raw_author_name":"Xunkai Li","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017088991","display_name":"Yinlin Zhu","orcid":"https://orcid.org/0009-0009-9181-6972"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinlin Zhu","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113394314","display_name":"Boyang Pang","orcid":null},"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":"Boyang Pang","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035913162","display_name":"Guochen Yan","orcid":"https://orcid.org/0009-0004-5941-1311"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guochen Yan","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017288103","display_name":"Yeyu Yan","orcid":"https://orcid.org/0000-0002-6288-453X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyu Yan","raw_affiliation_strings":["Beijing Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003493887","display_name":"Zening Li","orcid":null},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101310440","display_name":"Zhengyu Wu","orcid":"https://orcid.org/0009-0002-7064-7478"},"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":"Zhengyu Wu","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459878","display_name":"Wentao Zhang","orcid":"https://orcid.org/0000-0003-4549-7498"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Zhang","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384440","display_name":"Yuanyuan Li","orcid":"https://orcid.org/0000-0002-9311-9961"},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5028148241"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":9.0349,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97568629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"5","first_page":"1305","last_page":"1320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6415563821792603},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6182005405426025},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5241793990135193},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3577384352684021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3502577543258667},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07252103090286255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415563821792603},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6182005405426025},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5241793990135193},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3577384352684021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3502577543258667},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07252103090286255},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3718057.3718061","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3718057.3718061","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1538044907","https://openalex.org/W1983695944","https://openalex.org/W2016758618","https://openalex.org/W2025167103","https://openalex.org/W2034618876","https://openalex.org/W2036717779","https://openalex.org/W2056562706","https://openalex.org/W2070232376","https://openalex.org/W2092750499","https://openalex.org/W2099438806","https://openalex.org/W2129893339","https://openalex.org/W2131681506","https://openalex.org/W2340222647","https://openalex.org/W2460657278","https://openalex.org/W2553307952","https://openalex.org/W2558460151","https://openalex.org/W2558999090","https://openalex.org/W2593390416","https://openalex.org/W2615497679","https://openalex.org/W2729094633","https://openalex.org/W2949676527","https://openalex.org/W2962711740","https://openalex.org/W2995191368","https://openalex.org/W3002924435","https://openalex.org/W3016632787","https://openalex.org/W3086809868","https://openalex.org/W3099768174","https://openalex.org/W3182158470","https://openalex.org/W3196261868","https://openalex.org/W3196371845","https://openalex.org/W3205970722","https://openalex.org/W3209696639","https://openalex.org/W4214758645","https://openalex.org/W4220738117","https://openalex.org/W4226524907","https://openalex.org/W4231510805","https://openalex.org/W4241602464","https://openalex.org/W4287184035","https://openalex.org/W4294526726","https://openalex.org/W4312869277","https://openalex.org/W4317952654","https://openalex.org/W4365806382","https://openalex.org/W4378438608","https://openalex.org/W4380633142","https://openalex.org/W4385338532","https://openalex.org/W4390827322","https://openalex.org/W4391661565","https://openalex.org/W4392845603","https://openalex.org/W4393372084","https://openalex.org/W4393618259","https://openalex.org/W4396594863","https://openalex.org/W4399163384","https://openalex.org/W4399336288","https://openalex.org/W4399728522","https://openalex.org/W4400644209","https://openalex.org/W4402808383","https://openalex.org/W4409983075"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526"],"abstract_inverted_index":{"Federated":[0],"graph":[1,11,28,90,104],"learning":[2],"(FGL)":[3],"is":[4],"a":[5,61,74,121,125],"promising":[6],"distributed":[7,27],"training":[8],"paradigm":[9],"for":[10,78,154],"neural":[12],"networks":[13],"across":[14],"multiple":[15],"local":[16],"systems":[17],"without":[18],"direct":[19],"data":[20,41,98,170],"sharing.":[21],"This":[22],"approach":[23],"inherently":[24],"involves":[25],"large-scale":[26],"processing,":[29],"which":[30],"closely":[31],"aligns":[32],"with":[33],"the":[34,44,48,79,141],"challenges":[35],"and":[36,58,84,106,128,135,169],"research":[37,56,156],"focuses":[38],"of":[39,46,131,143],"graph-based":[40,108],"systems.":[42,171],"Despite":[43],"proliferation":[45],"FGL,":[47],"diverse":[49],"motivations":[50],"from":[51,92],"real-world":[52],"applications,":[53],"spanning":[54],"various":[55],"backgrounds":[57],"settings,":[59],"pose":[60],"significant":[62],"challenge":[63],"to":[64],"fair":[65],"evaluation.":[66],"To":[67],"fill":[68],"this":[69,158],"gap,":[70],"we":[71],"propose":[72],"OpenFGL,":[73],"unified":[75],"benchmark":[76],"designed":[77],"primary":[80],"FGL":[81,118,144,168],"scenarios:":[82],"Graph-FL":[83],"Subgraph-FL.":[85],"Specifically,":[86],"OpenFGL":[87],"includes":[88],"42":[89],"datasets":[91],"18":[93,114],"application":[94],"domains,":[95],"8":[96],"federated":[97],"simulation":[99],"strategies":[100],"that":[101],"emphasize":[102],"different":[103],"properties,":[105],"5":[107],"downstream":[109],"tasks.":[110],"Additionally,":[111],"it":[112],"offers":[113],"recently":[115],"proposed":[116],"SOTA":[117],"algorithms":[119],"through":[120],"user-friendly":[122],"API,":[123],"enabling":[124],"thorough":[126],"comparison":[127],"comprehensive":[129],"evaluation":[130],"their":[132],"effectiveness,":[133],"robustness,":[134],"efficiency.":[136],"Our":[137],"empirical":[138],"results":[139],"demonstrate":[140],"capabilities":[142],"while":[145],"also":[146],"highlighting":[147],"its":[148],"potential":[149],"limitations,":[150],"providing":[151],"valuable":[152],"insights":[153],"future":[155],"in":[157,162],"growing":[159],"field,":[160],"particularly":[161],"fostering":[163],"greater":[164],"interdisciplinary":[165],"collaboration":[166],"between":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}