{"id":"https://openalex.org/W4406458775","doi":"https://doi.org/10.1109/bigdata62323.2024.10825469","title":"Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting","display_name":"Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458775","doi":"https://doi.org/10.1109/bigdata62323.2024.10825469"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5023083273","display_name":"Minh-Son Dao","orcid":"https://orcid.org/0000-0003-3044-8175"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Minh-Son Dao","raw_affiliation_strings":["National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115904562","display_name":"Koji Zetsu","orcid":null},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koji Zetsu","raw_affiliation_strings":["National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089097625","display_name":"Duy-Tang Hoang","orcid":"https://orcid.org/0000-0002-3930-7283"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Duy-Tang Hoang","raw_affiliation_strings":["National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023083273"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.2726,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60698807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1276","last_page":"1281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6744465827941895},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4806146025657654},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4307631850242615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3576970100402832},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17403504252433777},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08846819400787354},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07665210962295532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744465827941895},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4806146025657654},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4307631850242615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3576970100402832},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17403504252433777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08846819400787354},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07665210962295532},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2756203131","https://openalex.org/W2911327605","https://openalex.org/W3000386982","https://openalex.org/W3103720336","https://openalex.org/W3113177135","https://openalex.org/W3120417556","https://openalex.org/W3203696868","https://openalex.org/W4205489202","https://openalex.org/W4234192264","https://openalex.org/W4235655723","https://openalex.org/W4321108604","https://openalex.org/W4382449675","https://openalex.org/W4385376972","https://openalex.org/W4385855800","https://openalex.org/W4387132032","https://openalex.org/W6631190155","https://openalex.org/W6773017188","https://openalex.org/W6781932242","https://openalex.org/W6787995345","https://openalex.org/W6842146116","https://openalex.org/W6861996248","https://openalex.org/W6869730376"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","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"],"abstract_inverted_index":{"In":[0],"the":[1,30,66],"context":[2],"of":[3,69],"smart":[4],"cities,":[5],"there":[6],"is":[7],"a":[8,80,133],"growing":[9],"demand":[10],"for":[11],"risk-free":[12],"navigation":[13],"systems":[14,28],"that":[15,87],"help":[16],"citizens":[17],"avoid":[18],"congestion":[19],"and":[20,35,51,57,71,91,111,152],"enjoy":[21],"outdoor":[22],"activities":[23],"in":[24,98,141],"clean":[25],"environments.":[26],"Such":[27],"require":[29],"ability":[31],"to":[32,65,94,120],"predict":[33],"traffic":[34,112,153],"environmental":[36],"hotspots":[37],"by":[38],"analyzing":[39,56],"spatial-temporal":[40,59,99],"big":[41],"data":[42,60,146],"from":[43,148],"various":[44],"sources,":[45],"including":[46],"IoT":[47],"devices,":[48],"stations,":[49],"CCTV,":[50],"personal":[52],"device":[53],"networks.":[54],"However,":[55],"forecasting":[58,107],"presents":[61],"significant":[62],"challenges":[63],"due":[64],"complex":[67],"interplay":[68],"spatial":[70,90],"temporal":[72,92],"dependencies.":[73],"To":[74],"address":[75],"these":[76],"challenges,":[77],"we":[78],"introduce":[79],"novel":[81],"dual":[82],"attention":[83],"mechanism":[84],"graph":[85,122],"transformer":[86],"leverages":[88],"both":[89],"information":[93],"capture":[95],"intricate":[96],"patterns":[97],"data.":[100],"We":[101],"evaluate":[102],"our":[103],"model":[104,128],"on":[105],"two":[106],"tasks:":[108],"air":[109,149],"pollution":[110,150],"flow.":[113],"Our":[114],"results":[115],"demonstrate":[116],"superior":[117],"performance":[118],"compared":[119],"other":[121],"neural":[123],"network":[124],"models.":[125],"Consequently,":[126],"this":[127],"has":[129],"been":[130],"integrated":[131],"into":[132],"traffic-risk":[134],"navigator":[135],"application,":[136],"which":[137],"will":[138],"be":[139],"evaluated":[140],"Yokohama,":[142],"Japan,":[143],"using":[144],"real":[145],"collected":[147],"stations":[151],"monitors.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
