{"id":"https://openalex.org/W4392902716","doi":"https://doi.org/10.1109/icassp48485.2024.10448287","title":"AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs","display_name":"AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902716","doi":"https://doi.org/10.1109/icassp48485.2024.10448287"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448287","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10448287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100360289","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-3846-9395"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,China","Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082380547","display_name":"Yanfeng Sun","orcid":"https://orcid.org/0000-0002-0872-384X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Sun","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,China","Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114039207","display_name":"Jipeng Guo","orcid":"https://orcid.org/0009-0007-4880-0305"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Guo","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,China","College of Information Science and Technology, Beijing University of Chemical Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083450478","display_name":"Shaofan Wang","orcid":"https://orcid.org/0000-0002-3045-624X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofan Wang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,China","Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612294","display_name":"Jinghua Li","orcid":"https://orcid.org/0000-0001-6895-6672"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Li","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,China","Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["The University of Sydney Business School, The University of Sydney,Australia","The University of Sydney Business School, The University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney Business School, The University of Sydney,Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"The University of Sydney Business School, The University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,China","Faculty of Information Technology, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"4970","last_page":"4974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7985522747039795},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7626157402992249},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6582300066947937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5312799215316772},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49474164843559265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48041749000549316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.470564603805542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4142789840698242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37790629267692566},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33719566464424133},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18712583184242249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985522747039795},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7626157402992249},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6582300066947937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5312799215316772},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49474164843559265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48041749000549316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.470564603805542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4142789840698242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37790629267692566},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33719566464424133},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18712583184242249},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448287","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10448287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4923111494","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G744259033","display_name":null,"funder_award_id":"2023M740201","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8959150943","display_name":null,"funder_award_id":"62172023","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2101491865","https://openalex.org/W2153959628","https://openalex.org/W2900470550","https://openalex.org/W2945827377","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W3019011053","https://openalex.org/W3096200195","https://openalex.org/W3100078588","https://openalex.org/W3101553402","https://openalex.org/W3196261868","https://openalex.org/W4287115771","https://openalex.org/W4293363567","https://openalex.org/W4294558607","https://openalex.org/W4386575130","https://openalex.org/W4387521354","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6756561102","https://openalex.org/W6760001035","https://openalex.org/W6765543928","https://openalex.org/W6776488958","https://openalex.org/W6783485119","https://openalex.org/W6784856447","https://openalex.org/W6798141675","https://openalex.org/W6838913300"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W4229787472","https://openalex.org/W2486541857","https://openalex.org/W2108840191","https://openalex.org/W2389214306","https://openalex.org/W2759366996","https://openalex.org/W2110679372"],"abstract_inverted_index":{"As":[0],"a":[1,94,129,143],"powerful":[2],"model":[3,36,57],"for":[4,118,149],"deep":[5],"learning":[6],"on":[7,62,160],"graph-structured":[8],"data,":[9],"the":[10,52,115,126],"scalability":[11,148],"limitation":[12],"of":[13,28],"Graph":[14,90],"Neural":[15,91],"Networks":[16,92],"(GNNs)":[17],"are":[18],"receiving":[19],"increasing":[20],"attention.":[21],"To":[22,124],"tackle":[23],"this":[24],"limitation,":[25],"two":[26],"categories":[27],"scalable":[29],"GNNs":[30],"have":[31],"been":[32],"proposed:":[33],"sampling-based":[34,40],"and":[35,47,82,110,146],"simplification":[37,58],"methods.":[38],"However,":[39],"methods":[41,59,72,159],"suffer":[42],"from":[43,102],"high":[44],"communication":[45],"costs":[46],"poor":[48],"performance":[49],"due":[50],"to":[51,139],"sampling":[53],"process.":[54],"Conversely,":[55],"existing":[56,158],"only":[60,74],"rely":[61],"parameter-free":[63,107],"feature":[64],"propagation,":[65],"disregarding":[66,79],"its":[67],"spectral":[68],"properties.":[69],"Consequently,":[70],"these":[71],"can":[73,97],"capture":[75],"low-frequency":[76],"information":[77,101,117,132],"while":[78],"valuable":[80],"middle-":[81],"high-frequency":[83],"information.":[84],"This":[85],"paper":[86],"proposes":[87],"Automatic":[88],"Filtering":[89],"(AutoFGNN),":[93],"framework":[95],"that":[96,155],"extract":[98,114],"all":[99,119],"frequency":[100],"large-scale":[103,150],"graphs.":[104,151,163],"AutoFGNN":[105,138,156],"employs":[106],"low-,":[108],"middle-,":[109],"high-pass":[111],"filters,":[112],"which":[113],"corresponding":[116],"nodes":[120],"without":[121],"introducing":[122],"parameters.":[123],"merge":[125],"extracted":[127],"features,":[128],"trainable":[130],"transformer-based":[131],"fusion":[133],"module":[134],"is":[135],"utilized,":[136],"enabling":[137],"be":[140],"trained":[141],"in":[142],"mini-batch":[144],"manner":[145],"ensuring":[147],"Experimental":[152],"results":[153],"show":[154],"outperforms":[157],"various":[161],"scale":[162]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
