{"id":"https://openalex.org/W4405304869","doi":"https://doi.org/10.1109/besc64747.2024.10780468","title":"Federated Spectral Graph Neural Networks","display_name":"Federated Spectral Graph Neural Networks","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405304869","doi":"https://doi.org/10.1109/besc64747.2024.10780468"},"language":"en","primary_location":{"id":"doi:10.1109/besc64747.2024.10780468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","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/A5115653006","display_name":"Jiaqi Yu","orcid":"https://orcid.org/0000-0002-9953-7873"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Yu","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950118","display_name":"Hong Yang","orcid":"https://orcid.org/0000-0003-2361-0437"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhou Chuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Chuan","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364041","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-7973-2746"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056608045","display_name":"Zhihong Tian","orcid":"https://orcid.org/0000-0002-9409-5359"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Tian","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115653006"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.2032,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54545105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9469000101089478,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9208999872207642,"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":0.7608698606491089},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47403669357299805},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46738186478614807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3359558582305908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31714075803756714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608698606491089},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47403669357299805},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46738186478614807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3359558582305908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31714075803756714}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc64747.2024.10780468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8978076341","display_name":null,"funder_award_id":"62376064,62376065,U20B2046","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2153959628","https://openalex.org/W2494834885","https://openalex.org/W2907492528","https://openalex.org/W2944250323","https://openalex.org/W2964015378","https://openalex.org/W3081203761","https://openalex.org/W3128443161","https://openalex.org/W3215126987","https://openalex.org/W4212881588","https://openalex.org/W4283816697","https://openalex.org/W4285222884","https://openalex.org/W4290945652","https://openalex.org/W4312231739","https://openalex.org/W4319338650","https://openalex.org/W4360825594","https://openalex.org/W4382318655","https://openalex.org/W4389252625","https://openalex.org/W6637178625","https://openalex.org/W6720006811","https://openalex.org/W6760001035","https://openalex.org/W6775527634","https://openalex.org/W6779821316","https://openalex.org/W6794274047","https://openalex.org/W6797220997","https://openalex.org/W6797785220","https://openalex.org/W6798141675","https://openalex.org/W6841058540","https://openalex.org/W6850014754"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Federated":[0,58],"graph":[1,10,22,34,72,91,141,158],"neural":[2,11,23,35,73,159],"networks":[3,24,36,74],"aim":[4],"to":[5,66,101,115,123,155],"collabo-ratively":[6],"train":[7],"a":[8,54],"global":[9],"network":[12],"across":[13],"multiple":[14,120],"clients":[15],"while":[16],"preserving":[17],"privacy":[18],"constraints.":[19],"Existing":[20],"federated":[21,30,68,140,157],"fall":[25],"into":[26],"the":[27,40,79,88,111,131,137],"category":[28],"of":[29,42,57,139],"learning":[31,69,142],"on":[32,70,147],"spatial":[33],"which":[37,75,97],"rarely":[38],"consider":[39],"challenges":[41],"data":[43,47,80,84,125],"noise":[44,81],"and":[45,82],"biased":[46,83],"distribution.":[48],"To":[49],"this":[50],"end,":[51],"we":[52],"present":[53],"new":[55],"class":[56],"Spectral":[59],"Graph":[60],"Neural":[61],"Networks":[62],"(FedSGNN":[63],"for":[64],"short)":[65],"enable":[67],"spectral":[71],"can":[76],"better":[77],"handle":[78,102],"distribution":[85],"problem.":[86],"Under":[87],"obser-vation":[89],"that":[90,130],"convolutions":[92],"are":[93],"essentially":[94],"low-pass":[95],"filters":[96],"have":[98],"limited":[99],"capability":[100],"noisy":[103],"data,":[104],"FedSGNN":[105],"uses":[106],"Bernstein":[107,133],"polynomial":[108,112,134],"approximation":[109,135],"as":[110],"filter":[113],"function":[114],"capture":[116],"useful":[117],"information":[118],"from":[119],"frequency":[121],"domains":[122],"combat":[124],"noise.":[126,144],"Experimental":[127],"results":[128,153],"show":[129,151],"first-order":[132],"meets":[136],"requirement":[138],"with":[143],"Moreover,":[145],"experiments":[146],"four":[148],"benchmark":[149],"datasets":[150],"superior":[152],"compared":[154],"existing":[156],"networks.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
