{"id":"https://openalex.org/W4200551527","doi":"https://doi.org/10.1155/2021/9134942","title":"Multicomponent Spatial\u2010Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data","display_name":"Multicomponent Spatial\u2010Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4200551527","doi":"https://doi.org/10.1155/2021/9134942","pmid":"https://pubmed.ncbi.nlm.nih.gov/34976047"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9134942","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9134942","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/9134942.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/9134942.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100648903","display_name":"Shaohua Liu","orcid":"https://orcid.org/0000-0002-9374-0192"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Liu","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876"],"raw_orcid":"https://orcid.org/0000-0002-9374-0192","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035740200","display_name":"Shijun Dai","orcid":"https://orcid.org/0000-0003-1055-4325"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Dai","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876"],"raw_orcid":"https://orcid.org/0000-0003-1055-4325","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049574394","display_name":"Jingkai Sun","orcid":"https://orcid.org/0000-0002-1032-2957"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkai Sun","raw_affiliation_strings":["School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876"],"raw_orcid":"https://orcid.org/0000-0002-1032-2957","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001141015","display_name":"Tianlu Mao","orcid":"https://orcid.org/0000-0003-2537-9873"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianlu Mao","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190"],"raw_orcid":"https://orcid.org/0000-0003-2537-9873","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069584904","display_name":"Junsuo Zhao","orcid":"https://orcid.org/0000-0001-8950-4157"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsuo Zhao","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing 100190, China","Institute of Software Chinese Academy of Sciences, Beijing 100190"],"raw_orcid":"https://orcid.org/0000-0001-8950-4157","affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing 100190","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100766125","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0003-0871-5839"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing 100190, China","Institute of Software Chinese Academy of Sciences, Beijing 100190"],"raw_orcid":"https://orcid.org/0000-0003-0871-5839","affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing 100190","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001141015"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.7298,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67026199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2021","issue":"1","first_page":"9134942","last_page":"9134942"},"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":0.994700014591217,"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":0.9939000010490417,"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":0.7600792646408081},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6329222917556763},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5687779188156128},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5088015198707581},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5047074556350708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49689796566963196},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.45288020372390747},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42582160234451294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39739179611206055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37454649806022644},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3027490973472595},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13317885994911194},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08435294032096863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600792646408081},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6329222917556763},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5687779188156128},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5088015198707581},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5047074556350708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49689796566963196},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.45288020372390747},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42582160234451294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39739179611206055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37454649806022644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3027490973472595},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13317885994911194},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08435294032096863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/9134942","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9134942","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/9134942.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34976047","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34976047","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8718320","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8718320","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:e962f0c230f24feaafe8057642a6a6d1","is_oa":true,"landing_page_url":"https://doaj.org/article/e962f0c230f24feaafe8057642a6a6d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9134942","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9134942","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/9134942.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G4866813418","display_name":null,"funder_award_id":"62002345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7190357054","display_name":null,"funder_award_id":"91938301","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200551527.pdf","grobid_xml":"https://content.openalex.org/works/W4200551527.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1983883318","https://openalex.org/W2004353783","https://openalex.org/W2069929199","https://openalex.org/W2075407851","https://openalex.org/W2092487986","https://openalex.org/W2108196201","https://openalex.org/W2117618130","https://openalex.org/W2156206597","https://openalex.org/W2528639018","https://openalex.org/W2604847698","https://openalex.org/W2695874637","https://openalex.org/W2756203131","https://openalex.org/W2788134583","https://openalex.org/W2889230014","https://openalex.org/W2900105886","https://openalex.org/W2903871660","https://openalex.org/W2907228515","https://openalex.org/W2912985636","https://openalex.org/W2950817888","https://openalex.org/W2965341826","https://openalex.org/W2965399951","https://openalex.org/W2974087501","https://openalex.org/W2991653934","https://openalex.org/W2998436408","https://openalex.org/W3034294191","https://openalex.org/W3103720336","https://openalex.org/W3107462623","https://openalex.org/W3108550173"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W2350084742","https://openalex.org/W3200661810","https://openalex.org/W4389995241","https://openalex.org/W3213655484","https://openalex.org/W4320149722"],"abstract_inverted_index":{"Predicting":[0],"traffic":[1,4,36,40,81,90,134],"data":[2,41],"on":[3,27,131],"networks":[5],"is":[6,12],"essential":[7],"to":[8,17,56,88,105],"transportation":[9],"management.":[10],"It":[11],"a":[13,68],"challenging":[14],"task":[15],"due":[16],"the":[18,58,124,141,148],"complicated":[19],"spatial-temporal":[20],"dependency.":[21],"The":[22],"latest":[23],"studies":[24],"mainly":[25,99],"focus":[26],"capturing":[28],"temporal":[29,59],"and":[30,53,83,92,123,138],"spatial":[31,50],"dependencies":[32],"with":[33,94],"spatially":[34,43,95,151],"dense":[35],"data.":[37,97,153],"However,":[38],"when":[39],"become":[42],"sparse,":[44],"existing":[45],"methods":[46],"cannot":[47],"capture":[48],"sufficient":[49],"correlation":[51],"information":[52],"thus":[54],"fail":[55],"learn":[57],"periodicity":[60],"sufficiently.":[61],"To":[62],"address":[63],"these":[64],"issues,":[65],"we":[66,84],"propose":[67],"novel":[69],"deep":[70],"learning":[71],"framework,":[72],"Multi-component":[73],"Spatial-Temporal":[74],"Graph":[75],"Attention":[76],"Convolutional":[77],"Networks":[78],"(MSTGACN),":[79],"for":[80],"prediction,":[82],"successfully":[85],"apply":[86],"it":[87],"predicting":[89],"flow":[91],"speed":[93],"sparse":[96,152],"MSTGACN":[98,115],"consists":[100],"of":[101,109,144,150],"three":[102,107,132],"independent":[103],"components":[104],"model":[106],"types":[108],"periodic":[110],"information.":[111],"Each":[112],"component":[113],"in":[114,147],"combines":[116],"dilated":[117],"causal":[118],"convolution,":[119],"graph":[120,126],"convolution":[121],"layer,":[122],"weight-shared":[125],"attention":[127],"layer.":[128],"Experimental":[129],"results":[130],"real-world":[133],"datasets,":[135],"METR-LA,":[136],"PeMS-BAY,":[137],"PeMSD7-sparse,":[139],"demonstrate":[140],"superior":[142],"performance":[143],"our":[145],"method":[146],"case":[149]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}