{"id":"https://openalex.org/W4323042646","doi":"https://doi.org/10.1145/3586164","title":"DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction","display_name":"DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4323042646","doi":"https://doi.org/10.1145/3586164"},"language":"en","primary_location":{"id":"doi:10.1145/3586164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3586164","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5101898423","display_name":"He Li","orcid":"https://orcid.org/0000-0001-5437-7063"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5437-7063","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063488409","display_name":"Duo Jin","orcid":"https://orcid.org/0000-0002-2152-3658"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Jin","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2152-3658","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668551","display_name":"Xuejiao Li","orcid":"https://orcid.org/0000-0002-3438-4327"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejiao Li","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-3438-4327","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007928773","display_name":"Jianbin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Huang","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5588-3021","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029088205","display_name":"Xiaoke Ma","orcid":"https://orcid.org/0000-0002-5604-7137"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoke Ma","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-5604-7137","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048420839","display_name":"Jiangtao Cui","orcid":"https://orcid.org/0000-0001-5569-0780"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Cui","raw_affiliation_strings":["Xidian University, Xi\u2019an, Shaanxi, China","Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5569-0780","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[{"id":"https://openalex.org/I4210165264","display_name":"Guangxi Academy of Sciences","ror":"https://ror.org/054x1kd82","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshuang Huang","raw_affiliation_strings":["Guangxi Academy of Sciences, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0002-6759-2691","affiliations":[{"raw_affiliation_string":"Guangxi Academy of Sciences, Nanning, China","institution_ids":["https://openalex.org/I4210165264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074090518","display_name":"Shaojie Qiao","orcid":"https://orcid.org/0000-0002-4703-780X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Qiao","raw_affiliation_strings":["Chengdu University of Information Technology, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4703-780X","affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025257821","display_name":"Jaesoo Yoo","orcid":"https://orcid.org/0000-0001-9926-9947"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaesoo Yoo","raw_affiliation_strings":["Chungbuk National University, Cheongju, Chungcheongbuk-do, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9926-9947","affiliations":[{"raw_affiliation_string":"Chungbuk National University, Cheongju, Chungcheongbuk-do, South Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6757,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88856896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"7","first_page":"1","last_page":"19"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9911999702453613,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9842000007629395,"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/computer-science","display_name":"Computer science","score":0.7526524066925049},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6662200689315796},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6110708117485046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.576172411441803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38896068930625916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32366669178009033},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2636815905570984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526524066925049},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6662200689315796},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6110708117485046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.576172411441803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38896068930625916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32366669178009033},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2636815905570984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3586164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3586164","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1982978808","https://openalex.org/W2033852689","https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2171234954","https://openalex.org/W2530386080","https://openalex.org/W2602753196","https://openalex.org/W2608239929","https://openalex.org/W2756203131","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904832339","https://openalex.org/W2921532413","https://openalex.org/W2945622688","https://openalex.org/W2950099298","https://openalex.org/W2989567700","https://openalex.org/W2996847713","https://openalex.org/W2998559444","https://openalex.org/W3094588037","https://openalex.org/W3102272367","https://openalex.org/W3103720336","https://openalex.org/W3170140111","https://openalex.org/W3211407228"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,14],"is":[2,82],"the":[3,18,31,47,50,54,62,70,77,79,88,108,115,123,131,135,178],"core":[4],"task":[5],"of":[6,20,25,33,49,110,126,155,166,173],"intelligent":[7],"transportation":[8],"system":[9],"(ITS)":[10],"and":[11,86,101,134,169,175],"accurate":[12],"traffic":[13,34,74],"can":[15,121,139],"greatly":[16],"improve":[17],"utilization":[19],"public":[21],"resources.":[22],"Dynamic":[23,63,116],"interaction":[24],"multiple":[26],"spatial":[27,43,90,97],"relationships":[28],"will":[29],"influence":[30],"accuracy":[32,48],"prediction.":[35,51],"However,":[36],"many":[37],"existing":[38],"methods":[39],"only":[40],"consider":[41],"static":[42,179],"relationships,":[44],"which":[45,120],"restricts":[46],"To":[52],"address":[53],"above":[55],"problem,":[56],"in":[57,73,171],"this":[58],"article,":[59],"we":[60,113],"propose":[61],"Multi-Graph":[64],"Fusion":[65],"Network":[66],"(DMGF-Net)":[67],"to":[68,84,105],"model":[69,162,180],"spatial-temporal":[71,142],"correlations":[72,91],"network.":[75],"In":[76],"DMGF-Net,":[78],"fusion":[80],"graph":[81],"designed":[83],"leverage":[85],"extract":[87],"various":[89],"between":[92],"different":[93,111,127,145],"regions":[94],"by":[95,129],"fusing":[96],"graph,":[98,100],"semantic":[99],"spatial-semantic":[102],"graph.":[103],"Further,":[104],"dynamically":[106],"learn":[107],"importance":[109],"neighbors,":[112],"design":[114],"Spatial-Temporal":[117],"Unit":[118],"(DSTU),":[119],"adjust":[122],"aggregation":[124],"weights":[125],"neighbors":[128],"combining":[130],"convolution":[132],"operation":[133],"attention":[136],"mechanism.":[137],"It":[138],"selectively":[140],"aggregate":[141],"features":[143],"from":[144],"neighbors.":[146],"Extensive":[147],"experiments":[148],"on":[149,159],"three":[150],"datasets":[151],"demonstrate":[152],"that":[153],"effectiveness":[154],"our":[156,161],"model,":[157],"especially":[158],"PEMS08,":[160],"achieves":[163],"an":[164],"increase":[165],"about":[167],"8.55%":[168],"7.55%":[170],"terms":[172],"MAE":[174],"RMSE":[176],"than":[177],"STGCN.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}