{"id":"https://openalex.org/W4285302049","doi":"https://doi.org/10.1109/tits.2022.3173689","title":"Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction","display_name":"Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4285302049","doi":"https://doi.org/10.1109/tits.2022.3173689"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3173689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3173689","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5100632700","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0002-3294-5725"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Huang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3294-5725","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059826815","display_name":"Kun Luo","orcid":"https://orcid.org/0000-0002-6260-987X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Luo","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6260-987X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000798681","display_name":"Longbing Cao","orcid":"https://orcid.org/0000-0003-1562-9429"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Longbing Cao","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1562-9429","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102144374","display_name":"Yuanqiao Wen","orcid":"https://orcid.org/0000-0002-8657-4755"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqiao Wen","raw_affiliation_strings":["National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025543667","display_name":"Shuyuan Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Zhong","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2187,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96988528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"11","first_page":"20681","last_page":"20695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6450255513191223},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.6187799572944641},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5453932881355286},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.534233808517456},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5188987851142883},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4921380877494812},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30038952827453613},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.2815035879611969},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.21083945035934448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17120662331581116},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16938439011573792},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11060655117034912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450255513191223},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.6187799572944641},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5453932881355286},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.534233808517456},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5188987851142883},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4921380877494812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30038952827453613},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.2815035879611969},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.21083945035934448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17120662331581116},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16938439011573792},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11060655117034912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3173689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3173689","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G1217167628","display_name":null,"funder_award_id":"2021C01010","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G5753582329","display_name":"\u6c34\u4e0a\u4ea4\u901a\u6001\u52bf\u7684\u591a\u5c3a\u5ea6\u8868\u8fbe\u4e0e\u6f14\u5316\u673a\u7406\u7814\u7a76","funder_award_id":"52072287","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/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1585538041","https://openalex.org/W1973943669","https://openalex.org/W1983883318","https://openalex.org/W2004353783","https://openalex.org/W2013619732","https://openalex.org/W2036785686","https://openalex.org/W2040297119","https://openalex.org/W2064675550","https://openalex.org/W2069929199","https://openalex.org/W2090192376","https://openalex.org/W2110242546","https://openalex.org/W2133564696","https://openalex.org/W2145039203","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2366933034","https://openalex.org/W2392708022","https://openalex.org/W2479734128","https://openalex.org/W2528639018","https://openalex.org/W2560675361","https://openalex.org/W2573587735","https://openalex.org/W2579495707","https://openalex.org/W2624190409","https://openalex.org/W2761434131","https://openalex.org/W2769291631","https://openalex.org/W2788381291","https://openalex.org/W2792764867","https://openalex.org/W2808490894","https://openalex.org/W2808535700","https://openalex.org/W2903871660","https://openalex.org/W2904362786","https://openalex.org/W2904832339","https://openalex.org/W2907492528","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2965341826","https://openalex.org/W2965399951","https://openalex.org/W2970602317","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W2998559444","https://openalex.org/W3012562343","https://openalex.org/W3026400623","https://openalex.org/W3034749137","https://openalex.org/W3038981236","https://openalex.org/W3043922872","https://openalex.org/W3080344546","https://openalex.org/W3093761440","https://openalex.org/W3103427490","https://openalex.org/W3103720336","https://openalex.org/W3123909522","https://openalex.org/W3126367810","https://openalex.org/W3148968252","https://openalex.org/W3174022889","https://openalex.org/W4233713109","https://openalex.org/W4239025696","https://openalex.org/W4249736682","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6600828923","https://openalex.org/W6679434410","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6730235577","https://openalex.org/W6739901393","https://openalex.org/W6745637532","https://openalex.org/W6746015598","https://openalex.org/W6749825310","https://openalex.org/W6780221082","https://openalex.org/W6785773631","https://openalex.org/W6787016461","https://openalex.org/W6789720248","https://openalex.org/W6790139340"],"related_works":["https://openalex.org/W2587362999","https://openalex.org/W3165311439","https://openalex.org/W2047739511","https://openalex.org/W1977405947","https://openalex.org/W1977153226","https://openalex.org/W3117279048","https://openalex.org/W2722752482","https://openalex.org/W4220875044","https://openalex.org/W2008840139","https://openalex.org/W4301403259"],"abstract_inverted_index":{"Temporal":[0],"traffic":[1,16,20,23,34,50,62,71,76,85,111,117,122,128,150,188,200,205],"prediction":[2,86],"is":[3],"critical":[4],"for":[5],"ITS":[6],"yet":[7],"remains":[8],"challenging":[9],"in":[10,32,54],"handling":[11],"complex":[12],"spatio-temporal":[13],"dynamics":[14],"of":[15,45,68],"systems.":[17],"The":[18,81,164],"continuous":[19],"data":[21,63,112,129],"(e.g.,":[22],"flow,":[24],"and":[25,30,52,57,73,78,154,195],"speed)":[26],"from":[27],"various":[28],"channels":[29],"nodes":[31,158],"a":[33,69,116,120,132],"network":[35,79],"are":[36,166],"coupled":[37,121,169],"with":[38],"each":[39,46],"other":[40],"over":[41,75,204],"the":[42,66,108,126,149],"time":[43],"points":[44],"channel,":[47,152],"spatially":[48],"between":[49,157],"nodes,":[51],"jointly":[53],"both":[55],"spatial":[56,155,194],"temporal":[58,196],"dimensions.":[59],"Such":[60],"multi-aspect":[61,110,127],"couplings":[64,130,197],"reflect":[65],"conditions":[67],"real-life":[70],"system":[72,118],"evolve":[74],"movement":[77],"dynamics.":[80],"recent":[82],"studies":[83],"formulate":[84],"by":[87,100,131,159],"high-profile":[88],"graph":[89,102,161,186],"neural":[90,101],"networks.":[91],"However,":[92],"they":[93],"mainly":[94],"focus":[95],"on":[96,178],"hidden":[97],"relations":[98,156],"captured":[99],"mechanisms":[103],"while":[104],"overlooking":[105],"or":[106],"simplifying":[107],"above":[109],"couplings.":[113],"By":[114],"modeling":[115],"as":[119],"network,":[123],"we":[124],"learn":[125],"Multi-relational":[133],"Synchronous":[134],"Graph":[135],"Attention":[136],"Network":[137],"(MS-GAT).":[138],"Specifically,":[139],"MS-GAT":[140,182,190],"learns":[141],"three":[142],"embeddings":[143,165],"to":[144,171,175],"respectively":[145],"but":[146,198],"synchronously":[147],"represent":[148],"data-based":[151,201],"temporal,":[153],"specific":[160],"attention":[162],"designs.":[163],"further":[167],"adaptively":[168],"according":[170],"their":[172],"respective":[173],"importance":[174],"prediction.":[176],"Tested":[177],"five":[179],"real-world":[180],"datasets,":[181],"outperforms":[183],"six":[184],"SOTA":[185],"networks-based":[187],"predictors.":[189],"captures":[191],"not":[192],"only":[193],"also":[199],"channel":[202],"interactions":[203],"evolution.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}