{"id":"https://openalex.org/W4403390341","doi":"https://doi.org/10.1109/tetci.2024.3462513","title":"A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction","display_name":"A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403390341","doi":"https://doi.org/10.1109/tetci.2024.3462513"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3462513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3462513","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5047212021","display_name":"Chunyan Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyan Diao","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594820","display_name":"Dafang Zhang","orcid":"https://orcid.org/0000-0003-0765-6857"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafang Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078519973","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-5074-1363"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455059","display_name":"Man Jiang","orcid":"https://orcid.org/0000-0002-0803-8113"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Jiang","raw_affiliation_strings":["School of Architecture and Art Design, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Art Design, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013673045","display_name":"Kuanching Li","orcid":null},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanching Li","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047212021"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":2.0983,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86190996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"1910","last_page":"1923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9760000109672546,"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":0.9760000109672546,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9440000057220459,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9089999794960022,"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":0.713950514793396},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5341165661811829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39997413754463196},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.196021169424057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713950514793396},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5341165661811829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39997413754463196},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.196021169424057}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3462513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3462513","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6226816379","display_name":null,"funder_award_id":"62072170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8704805951","display_name":null,"funder_award_id":"61976087","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W1983883318","https://openalex.org/W2059861509","https://openalex.org/W2064675550","https://openalex.org/W2114224207","https://openalex.org/W2528639018","https://openalex.org/W2606202972","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W2998559444","https://openalex.org/W3015712039","https://openalex.org/W3082034060","https://openalex.org/W3127172108","https://openalex.org/W3168062411","https://openalex.org/W3169777530","https://openalex.org/W3174022889","https://openalex.org/W3215209860","https://openalex.org/W3215281442","https://openalex.org/W4206614401","https://openalex.org/W4221032654","https://openalex.org/W4226135409","https://openalex.org/W4233713109","https://openalex.org/W4249970585","https://openalex.org/W4281763058","https://openalex.org/W4283034461","https://openalex.org/W4285301580","https://openalex.org/W4295926276","https://openalex.org/W4309125007","https://openalex.org/W4381886284","https://openalex.org/W6606810192","https://openalex.org/W6683258052","https://openalex.org/W6726873649","https://openalex.org/W6746015598","https://openalex.org/W6748555476","https://openalex.org/W6751912157","https://openalex.org/W6780221082","https://openalex.org/W6800175786","https://openalex.org/W6846116613","https://openalex.org/W6846539201","https://openalex.org/W6849002149"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,21,38],"prediction":[2,44,84],"is":[3],"a":[4,89,101,113,137,155],"non-negligible":[5],"part":[6],"of":[7,19,31,91,165,209,213],"intelligent":[8],"transportation":[9],"and":[10,16,57,111,172,179,204],"mobility.":[11],"Unfortunately,":[12],"the":[13,41,71,106,163,187,197,207],"unique":[14],"non-linearity":[15],"complex":[17,65,180],"spatial-ST-correlation":[18],"transport":[20],"data":[22],"suggest":[23],"considerable":[24],"challenges":[25],"in":[26,95,196],"prediction.":[27,39],"The":[28,145],"dynamic":[29,66,82,92,156,178],"interaction":[30,93,143],"multiple":[32,141,211],"spatial":[33,67,118,142],"relations":[34],"greatly":[35],"influences":[36],"traffic":[37,96],"However,":[40],"existing":[42,191],"spatial-temporal":[43,83,158,181,214],"algorithms":[45],"are":[46,123,150],"based":[47],"on":[48],"graph":[49,59,103,115,139,170],"convolution":[50,60,171],"to":[51,87,104,116,135,175],"capture":[52,64,88,176],"global":[53],"or":[54],"heterogeneous":[55],"relationships,":[56,129],"simpler":[58],"models":[61],"cannot":[62],"accurately":[63],"relationships.":[68,144,215],"To":[69],"address":[70],"issues":[72],"as":[73],"mentioned":[74],"above,":[75],"this":[76],"study":[77],"proposes":[78],"an":[79],"attention-based":[80],"multi-graph":[81,157],"model":[85],"ADMSTGCN":[86],"variety":[90],"relationships":[94,107,119],"flow.":[97],"First,":[98],"we":[99],"use":[100,112],"distance":[102],"explore":[105],"between":[108,120,147],"adjacent":[109],"distances":[110],"semantic":[114],"mine":[117],"nodes":[121],"that":[122,161,186],"far":[124],"apart":[125],"but":[126],"have":[127],"similar":[128],"then":[130,151],"fuse":[131],"these":[132],"two":[133],"graphs":[134],"obtain":[136],"fusion":[138],"with":[140,193,200],"correlations":[146],"different":[148,166],"neighbors":[149,167],"further":[152],"learned":[153],"through":[154,168],"learning":[159],"module":[160],"aggregates":[162],"features":[164],"gated":[169],"attention":[173],"mechanisms":[174],"various":[177],"interactions.":[182],"Experimental":[183],"evaluations":[184],"show":[185],"framework":[188],"proposed":[189],"outperforms":[190],"methods":[192],"better":[194],"results":[195],"analysis":[198],"performed":[199],"publicly":[201],"available":[202],"datasets":[203],"also":[205],"demonstrates":[206],"importance":[208],"capturing":[210],"interactions":[212]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
