{"id":"https://openalex.org/W4391093686","doi":"https://doi.org/10.1109/bigdata59044.2023.10386746","title":"Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting","display_name":"Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391093686","doi":"https://doi.org/10.1109/bigdata59044.2023.10386746"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386746","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008924751","display_name":"Can Yang Zhang","orcid":"https://orcid.org/0000-0002-6975-5781"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canyang Zhang","raw_affiliation_strings":["Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610027","display_name":"Qi Zheng","orcid":"https://orcid.org/0000-0001-6879-8256"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zheng","raw_affiliation_strings":["Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048067916","display_name":"Yaying Zhang","orcid":"https://orcid.org/0000-0001-9552-3274"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaying Zhang","raw_affiliation_strings":["Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Key Laboratory of Embedded System and Service Computing, Ministry of Education,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6107,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70256592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1262","last_page":"1268"},"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":0.9950000047683716,"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":0.9948999881744385,"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":0.720421314239502},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.589774489402771},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5734227299690247},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5547086000442505},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5427160859107971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5309181809425354},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4639190435409546},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4613364636898041},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42353880405426025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3765474557876587},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31529563665390015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14354407787322998},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12031134963035583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1131196916103363},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0823160707950592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720421314239502},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.589774489402771},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5734227299690247},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5547086000442505},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5427160859107971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5309181809425354},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4639190435409546},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4613364636898041},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42353880405426025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3765474557876587},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31529563665390015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14354407787322998},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12031134963035583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1131196916103363},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0823160707950592},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386746","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"},{"id":"https://openalex.org/F4320326838","display_name":"State Key Laboratory of Pollution Control and Resource Reuse","ror":"https://ror.org/00073tb80"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2131739422","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2766736793","https://openalex.org/W2788134583","https://openalex.org/W2792764867","https://openalex.org/W2910892140","https://openalex.org/W2962790412","https://openalex.org/W2965341826","https://openalex.org/W3034246913","https://openalex.org/W3101687079","https://openalex.org/W3103720336","https://openalex.org/W3126367810","https://openalex.org/W3170140111","https://openalex.org/W3171958173","https://openalex.org/W3207461654","https://openalex.org/W4212801354","https://openalex.org/W4285295189","https://openalex.org/W4290944372","https://openalex.org/W4313306153","https://openalex.org/W4382239616","https://openalex.org/W4382240004","https://openalex.org/W6746015598","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W4387838477","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W2381986121","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W3088721469"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,20,34,133,141],"forecasting":[2,21,35,134],"is":[3,22,64,108],"indispensable":[4],"in":[5,135],"modern":[6],"urban":[7],"life.":[8],"Considering":[9],"the":[10,48,51,57,65,68,112,115,120,153,162,171],"complexity,":[11],"variability":[12],"and":[13,54,145,164,177,187],"strong":[14],"timeliness":[15],"of":[16,114,122,167,173],"traffic":[17,19,33,52,132,168,185],"flow,":[18],"a":[23,78,127,140],"worth":[24],"exploring":[25],"but":[26],"challenging":[27],"research":[28],"field.":[29],"To":[30,72],"achieve":[31],"better":[32],"effect,":[36],"we":[37,76],"focus":[38],"on":[39,183],"two":[40],"critical":[41],"aspects":[42],"that":[43],"assume":[44],"noteworthy":[45],"importance:":[46],"i)":[47],"features":[49,155],"inside":[50],"outflows":[53],"inflows.":[55],"ii)":[56],"supplementary":[58],"information":[59],"regarding":[60],"exterior":[61,103,117],"region":[62,104,118],"which":[63,125,160],"area":[66],"outside":[67],"grid":[69,136],"division":[70,137],"regions.":[71,138],"address":[73],"these":[74],"challenges,":[75],"propose":[77],"novel":[79],"deep":[80],"learning":[81],"model":[82,190],"Spatial-Temporal":[83],"Flow":[84],"Holistic":[85],"Interaction":[86],"Graph":[87],"Convolution":[88],"Network":[89],"(STHGCN).":[90],"In":[91],"STHGCN,":[92],"graph":[93],"convolution":[94,147],"based":[95],"modules":[96,148],"are":[97,149],"applied":[98],"through":[99,119,170],"multi-step":[100],"simulation.":[101],"An":[102],"feature":[105,142,175],"estimation":[106],"module":[107],"designed":[109],"to":[110,151],"estimate":[111],"influence":[113],"special":[116],"characteristics":[121],"complete":[123],"trajectories,":[124],"enables":[126],"more":[128],"comprehensive":[129],"reasoning":[130],"for":[131],"Furthermore,":[139],"fusion":[143],"integrator":[144],"stackable":[146],"proposed":[150,189],"aggregate":[152],"intermediate":[154],"extracted":[156],"from":[157],"various":[158],"perspectives,":[159],"simulate":[161],"constantly-updating":[163],"interlinked":[165],"states":[166],"flows":[169],"process":[172],"multi-layer":[174],"separation":[176],"fusion.":[178],"We":[179],"conduct":[180],"extensive":[181],"experiments":[182],"real-world":[184],"datasets":[186],"our":[188],"outperforms":[191],"all":[192],"baselines.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
