{"id":"https://openalex.org/W4408354164","doi":"https://doi.org/10.1109/icassp49660.2025.10890001","title":"SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction","display_name":"SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354164","doi":"https://doi.org/10.1109/icassp49660.2025.10890001"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5040802687","display_name":"Mei Wu","orcid":"https://orcid.org/0009-0004-5941-4184"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Wu","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041712546","display_name":"Wenchao Weng","orcid":"https://orcid.org/0000-0002-9677-3213"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Weng","raw_affiliation_strings":["Zhejiang University of Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696862","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-5272-9130"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiqian Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqian Lin","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394887","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0002-3082-7290"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017010621","display_name":"Dewen Seng","orcid":"https://orcid.org/0000-0003-0921-848X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Seng","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9320999979972839,"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":0.7374954223632812},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.632413387298584},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49738457798957825},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32257723808288574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.109860360622406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374954223632812},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.632413387298584},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49738457798957825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32257723808288574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.109860360622406},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2036785686","https://openalex.org/W2067489005","https://openalex.org/W2194775991","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2950817888","https://openalex.org/W2955819484","https://openalex.org/W2965341826","https://openalex.org/W2988226917","https://openalex.org/W3006854884","https://openalex.org/W3030935614","https://openalex.org/W3039628929","https://openalex.org/W3080253043","https://openalex.org/W3084879683","https://openalex.org/W3093761440","https://openalex.org/W3095980543","https://openalex.org/W3126367810","https://openalex.org/W3170140111","https://openalex.org/W3173213819","https://openalex.org/W3174022889","https://openalex.org/W3175154343","https://openalex.org/W4283817628","https://openalex.org/W4321021801","https://openalex.org/W6679436768","https://openalex.org/W6746015598","https://openalex.org/W6780221082"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4313561376","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W3207533102","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"traffic":[3,53,60,64,107],"flow":[4,54,61],"prediction":[5,20,46,55],"has":[6],"played":[7],"a":[8,86],"crucial":[9],"role":[10],"in":[11],"the":[12,35],"management":[13],"of":[14],"intelligent":[15],"transportation":[16],"systems.":[17],"However,":[18],"traditional":[19],"methods":[21],"are":[22],"often":[23],"limited":[24],"by":[25],"static":[26],"spatial":[27,70],"modeling,":[28],"making":[29],"it":[30],"difficult":[31],"to":[32,98],"accurately":[33],"capture":[34,100],"dynamic":[36,101],"and":[37,42,69,94],"complex":[38],"relationships":[39,103],"between":[40],"time":[41,95],"space,":[43],"thereby":[44],"affecting":[45],"accuracy.":[47],"This":[48],"paper":[49],"proposes":[50],"an":[51,78],"innovative":[52],"network,":[56],"SFADNet,":[57],"which":[58],"categorizes":[59],"into":[62],"multiple":[63],"patterns":[65],"based":[66,84],"on":[67,85],"temporal":[68],"feature":[71],"matrices.":[72],"For":[73],"each":[74],"pattern,":[75],"we":[76],"construct":[77],"independent":[79],"adaptive":[80],"spatio-temporal":[81,102],"fusion":[82],"graph":[83,91],"cross-attention":[87],"mechanism,":[88],"employing":[89],"residual":[90],"convolution":[92],"modules":[93,97],"series":[96],"better":[99],"under":[104],"different":[105],"fine-grained":[106],"patterns.":[108],"Extensive":[109],"experimental":[110],"results":[111],"demonstrate":[112],"that":[113],"SFADNet":[114],"outperforms":[115],"current":[116],"state-of-the-art":[117],"baselines":[118],"across":[119],"four":[120],"large-scale":[121],"datasets.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}