{"id":"https://openalex.org/W4417252153","doi":"https://doi.org/10.1109/tnnls.2025.3635636","title":"Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks","display_name":"Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W4417252153","doi":"https://doi.org/10.1109/tnnls.2025.3635636","pmid":"https://pubmed.ncbi.nlm.nih.gov/41379886"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3635636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3635636","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109301657","display_name":"Ting Wang","orcid":"https://orcid.org/0009-0007-2559-0843"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-2559-0843","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934268","display_name":"Rui Luo","orcid":"https://orcid.org/0000-0003-0711-8039"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rui Luo","raw_affiliation_strings":["Department of Systems Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-0711-8039","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071224169","display_name":"Daqian Shi","orcid":"https://orcid.org/0000-0003-2183-1957"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daqian Shi","raw_affiliation_strings":["Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2183-1957","affiliations":[{"raw_affiliation_string":"Digital Environment Research Institute (DERI), Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049706398","display_name":"Hao Deng","orcid":"https://orcid.org/0000-0002-4627-9110"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Deng","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4627-9110","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035948567","display_name":"Shengjie Zhao","orcid":"https://orcid.org/0000-0002-6109-2522"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjie Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4301-394X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3674453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"6","first_page":"2549","last_page":"2562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9405999779701233,"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":0.9405999779701233,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.022299999371170998,"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/T10524","display_name":"Traffic control and management","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5443999767303467},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5296000242233276},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.4918999969959259},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46299999952316284},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45879998803138733},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.35569998621940613},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.3361999988555908},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.32589998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575999855995178},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.4918999969959259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45879998803138733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3125},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2653999924659729}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3635636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3635636","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:41379886","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41379886","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2976102682","display_name":null,"funder_award_id":"2023YFC3806002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G426055131","display_name":null,"funder_award_id":"62506315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5031841560","display_name":null,"funder_award_id":"2023YFC3806000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7911040224","display_name":null,"funder_award_id":"U23A20382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7984483848","display_name":null,"funder_award_id":"62371342","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,185,190],"is":[2,32,54,231],"a":[3,88,124,142,160],"cornerstone":[4],"of":[5,12,28,38,66,73,114,132,218,225],"intelligent":[6],"transportation":[7],"systems":[8],"(ITSs).":[9],"The":[10,189,216,228],"effectiveness":[11],"existing":[13],"spatiotemporal":[14,74,83,109,143,151],"graph":[15,85,144,161],"neural":[16,86],"networks":[17],"(STGNNs)":[18],"heavily":[19],"relies":[20],"on":[21,195],"the":[22,60,64,70,81,112,130,172,206,223],"independent":[23],"identically":[24],"distributed":[25],"(i.i.d.)":[26],"assumption":[27],"traffic":[29,93,155],"data,":[30],"which":[31],"frequently":[33],"violated":[34],"in":[35,153,201],"practice":[36],"because":[37],"distribution":[39,96,119],"shifts":[40],"owing":[41],"to":[42,118,164,174,208],"exogenous":[43,137],"factors.":[44,138],"While":[45],"learning":[46,113,126,203],"features":[47,68,183],"that":[48,128,147],"remain":[49],"stable":[50],"across":[51],"all":[52],"environments":[53],"promising":[55],"for":[56,91,184],"modeling":[57,145],"robust":[58,92],"frameworks,":[59],"fundamental":[61],"challenge":[62],"involves":[63],"decomposition":[65],"invariant":[67,101,133,180,210],"from":[69,106,135],"dynamic":[71],"nature":[72],"dependencies.":[75],"In":[76,98],"this":[77],"article,":[78],"we":[79,122,158],"propose":[80,141],"disentangled":[82],"(DIST)":[84],"networks,":[87],"novel":[89],"framework":[90],"forecasting":[94],"considering":[95],"shifts.":[97,120],"DIST,":[99],"latent":[100],"variables":[102,134],"are":[103,199],"explicitly":[104],"decoupled":[105],"dynamically":[107],"evolving":[108,154],"dependencies,":[110],"enabling":[111],"topology-agnostic":[115],"representations":[116],"resilient":[117],"Specifically,":[121],"formulate":[123],"causality-driven":[125],"objective":[127],"guides":[129],"separation":[131],"various":[136],"We":[139],"then":[140],"module":[146,163],"can":[148],"adaptively":[149],"capture":[150],"dependencies":[152,177],"systems.":[156],"Furthermore,":[157],"present":[159],"perturbation":[162],"simulate":[165],"topology":[166],"variations":[167],"during":[168],"training,":[169],"thereby":[170],"encouraging":[171],"model":[173,207],"identify":[175,209],"perturbation-sensitive":[176],"and":[178,181,186,192],"infer":[179],"variant":[182],"intervention":[187],"tasks.":[188],"risk":[191],"its":[193,214],"variance":[194],"multiple":[196],"interventional":[197],"distributions":[198],"minimized":[200],"our":[202,226],"strategy,":[204],"allowing":[205],"features,":[211],"thus":[212],"improving":[213],"robustness.":[215],"results":[217],"comprehensive":[219],"real-world":[220],"experiments":[221],"demonstrate":[222],"superiority":[224],"approach.":[227],"source":[229],"code":[230],"available:":[232],"https://github.com/tingwang25/DIST.":[233]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2025-12-11T00:00:00"}