{"id":"https://openalex.org/W3170140111","doi":"https://doi.org/10.1145/3447548.3467430","title":"Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting","display_name":"Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3170140111","doi":"https://doi.org/10.1145/3447548.3467430","mag":"3170140111"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.12931","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101665003","display_name":"Zheng Fang","orcid":"https://orcid.org/0000-0002-1291-7022"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Fang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027022795","display_name":"Qingqing Long","orcid":"https://orcid.org/0009-0003-7105-361X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Long","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088976879","display_name":"Guojie Song","orcid":"https://orcid.org/0000-0001-8295-2520"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojie Song","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100825074","display_name":"Kunqing Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunqing Xie","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":585,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9979000091552734,"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/T11106","display_name":"Data Management and Algorithms","score":0.9965000152587891,"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/ode","display_name":"Ode","score":0.8778868317604065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667292714118958},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5757138133049011},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3752194046974182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2002868950366974},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.165085107088089}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.8778868317604065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667292714118958},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5757138133049011},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3752194046974182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2002868950366974},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.165085107088089}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3447548.3467430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.12931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.12931","pdf_url":"https://arxiv.org/pdf/2106.12931","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.12931","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.12931","pdf_url":"https://arxiv.org/pdf/2106.12931","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1728066633","display_name":null,"funder_award_id":"Grant No. 61876006","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":45,"referenced_works":["https://openalex.org/W43001522","https://openalex.org/W116902681","https://openalex.org/W1485009520","https://openalex.org/W1578099820","https://openalex.org/W1769276176","https://openalex.org/W1973943669","https://openalex.org/W1983883318","https://openalex.org/W1984969638","https://openalex.org/W2016287239","https://openalex.org/W2046033161","https://openalex.org/W2194775991","https://openalex.org/W2519887557","https://openalex.org/W2528639018","https://openalex.org/W2608412979","https://openalex.org/W2610190180","https://openalex.org/W2624431344","https://openalex.org/W2747155557","https://openalex.org/W2756203131","https://openalex.org/W2766747128","https://openalex.org/W2782977972","https://openalex.org/W2784814091","https://openalex.org/W2808746463","https://openalex.org/W2884128153","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2905224888","https://openalex.org/W2947116889","https://openalex.org/W2950817888","https://openalex.org/W2952740813","https://openalex.org/W2953118818","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964294232","https://openalex.org/W2965341826","https://openalex.org/W2965399951","https://openalex.org/W2982880755","https://openalex.org/W2996847713","https://openalex.org/W2998436408","https://openalex.org/W3035203190","https://openalex.org/W3080834109","https://openalex.org/W3103720336","https://openalex.org/W3147316959","https://openalex.org/W4246587917","https://openalex.org/W4249033934"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2371448224","https://openalex.org/W3134495997","https://openalex.org/W2363680170","https://openalex.org/W2376428685","https://openalex.org/W4256082577","https://openalex.org/W625783435","https://openalex.org/W2048742619"],"abstract_inverted_index":{"Spatial-temporal":[0],"forecasting":[1],"has":[2],"attracted":[3],"tremendous":[4],"attention":[5],"in":[6,154],"a":[7,17,34,86,99,123,130,158],"wide":[8],"range":[9],"of":[10,28,62,88,95,102],"applications,":[11],"and":[12,19,24,47,54,85,137,157,181],"traffic":[13,29,103,179],"flow":[14,30],"prediction":[15],"is":[16,65,152,164,184],"canonical":[18],"typical":[20],"example.":[21],"The":[22],"complex":[23],"long-range":[25,76],"spatial-temporal":[26,120,138],"correlations":[27],"bring":[31],"it":[32],"to":[33,51,74,166],"most":[35],"intractable":[36],"challenge.":[37],"Existing":[38],"works":[39],"typically":[40],"utilize":[41],"shallow":[42,70],"graph":[43],"convolution":[44,162],"networks":[45,133],"(GNNs)":[46],"temporal":[48,55,160,170],"extracting":[49],"modules":[50],"model":[52,175],"spatial":[53,77,81],"dependencies":[56],"respectively.":[57],"However,":[58],"the":[59,145],"representation":[60],"ability":[61],"such":[63],"models":[64],"limited":[66],"due":[67],"to:":[68],"(1)":[69],"GNNs":[71],"are":[72,83,91,94,140],"incapable":[73],"capture":[75,119,167],"correlations,":[78],"(2)":[79],"only":[80],"connections":[82,90],"considered":[84,153],"mass":[87],"semantic":[89],"ignored,":[92],"which":[93],"great":[96],"importance":[97],"for":[98],"comprehensive":[100],"understanding":[101],"networks.":[104],"To":[105,143],"this":[106],"end,":[107],"we":[108,118],"propose":[109],"Spatial-Temporal":[110],"Graph":[111],"Ordinary":[112],"Differential":[113],"Equation":[114],"Networks":[115],"(STGODE).1":[116],"Specifically,":[117],"dynamics":[121],"through":[122],"tensor-based":[124],"ordinary":[125],"differential":[126],"equation":[127],"(ODE),":[128],"as":[129],"result,":[131],"deeper":[132],"can":[134],"be":[135],"constructed":[136],"features":[139],"utilized":[141],"synchronously.":[142],"understand":[144],"network":[146],"more":[147],"comprehensively,":[148],"semantical":[149],"adjacency":[150],"matrix":[151],"our":[155,174],"model,":[156],"well-design":[159],"dialated":[161],"structure":[163],"used":[165],"long":[168],"term":[169],"dependencies.":[171],"We":[172],"evaluate":[173],"on":[176],"multiple":[177],"real-world":[178],"datasets":[180],"superior":[182],"performance":[183],"achieved":[185],"over":[186],"state-of-the-art":[187],"baselines.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":61},{"year":2025,"cited_by_count":213},{"year":2024,"cited_by_count":183},{"year":2023,"cited_by_count":92},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
