{"id":"https://openalex.org/W4389504444","doi":"https://doi.org/10.1155/2023/7099652","title":"GDENet: Graph Differential Equation Network for Traffic Flow Prediction","display_name":"GDENet: Graph Differential Equation Network for Traffic Flow Prediction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389504444","doi":"https://doi.org/10.1155/2023/7099652"},"language":"en","primary_location":{"id":"doi:10.1155/2023/7099652","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/7099652","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/7099652.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["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":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/ijis/2023/7099652.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000761539","display_name":"Yanming Miao","orcid":"https://orcid.org/0009-0007-5901-2945"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Miao","raw_affiliation_strings":["The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103060458","display_name":"Xianghong Tang","orcid":"https://orcid.org/0000-0002-3961-5649"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghong Tang","raw_affiliation_strings":["The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002318429","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-6269-0196"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Wang","raw_affiliation_strings":["The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"The State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065197811","display_name":"Liya Yu","orcid":"https://orcid.org/0000-0002-5212-8546"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liya Yu","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025","School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou 550025, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002318429","https://openalex.org/A5065197811","https://openalex.org/A5103060458"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.7824,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70888268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"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/T10524","display_name":"Traffic control and management","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741315484046936},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5381390452384949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5245431065559387},{"id":"https://openalex.org/keywords/integrator","display_name":"Integrator","score":0.4685325026512146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45469561219215393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42162463068962097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38716796040534973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3462718427181244},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21149078011512756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741315484046936},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5381390452384949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5245431065559387},{"id":"https://openalex.org/C79518650","wikidata":"https://www.wikidata.org/wiki/Q2081431","display_name":"Integrator","level":3,"score":0.4685325026512146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45469561219215393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42162463068962097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38716796040534973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3462718427181244},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21149078011512756},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/7099652","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/7099652","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/7099652.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["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":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/7099652","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/7099652","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/7099652.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["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":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2245609153","display_name":null,"funder_award_id":"2021-24","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5160204658","display_name":null,"funder_award_id":"(2022)-04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5295028483","display_name":null,"funder_award_id":"2021-55","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5435910415","display_name":null,"funder_award_id":"ZK[2022]-108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7109446775","display_name":null,"funder_award_id":"621620","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7806852095","display_name":null,"funder_award_id":"62162008","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"},{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"},{"id":"https://openalex.org/F4320335227","display_name":"Bijzonder Onderzoeksfonds UGent","ror":"https://ror.org/00cv9y106"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389504444.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W626441390","https://openalex.org/W1964357740","https://openalex.org/W1994265999","https://openalex.org/W2004353783","https://openalex.org/W2036785686","https://openalex.org/W2057949243","https://openalex.org/W2059319780","https://openalex.org/W2064675550","https://openalex.org/W2120251745","https://openalex.org/W2125817951","https://openalex.org/W2142789340","https://openalex.org/W2194775991","https://openalex.org/W2408279554","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2767008699","https://openalex.org/W2775717462","https://openalex.org/W2808746463","https://openalex.org/W2899154025","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2922146383","https://openalex.org/W2962737770","https://openalex.org/W2963358464","https://openalex.org/W2965341826","https://openalex.org/W2994901268","https://openalex.org/W2996847713","https://openalex.org/W3001437801","https://openalex.org/W3015553263","https://openalex.org/W3029517437","https://openalex.org/W3035580605","https://openalex.org/W3040248848","https://openalex.org/W3083963475","https://openalex.org/W3088611441","https://openalex.org/W3092339997","https://openalex.org/W3103720336","https://openalex.org/W3168797207","https://openalex.org/W3170140111","https://openalex.org/W3173249214","https://openalex.org/W3174022889","https://openalex.org/W3179429918","https://openalex.org/W3180314476","https://openalex.org/W3199849898","https://openalex.org/W3207461654","https://openalex.org/W3210458411","https://openalex.org/W4206150722","https://openalex.org/W4210724166","https://openalex.org/W4211185928","https://openalex.org/W4226212754","https://openalex.org/W4229021508","https://openalex.org/W4234482043","https://openalex.org/W4282000122","https://openalex.org/W4285216302","https://openalex.org/W4285604412","https://openalex.org/W4287270621","https://openalex.org/W4292608247","https://openalex.org/W4297733535","https://openalex.org/W4311049322","https://openalex.org/W4312703862","https://openalex.org/W4323922772","https://openalex.org/W4328101918","https://openalex.org/W4382239616","https://openalex.org/W4382240004","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W2366352762","https://openalex.org/W2613964090","https://openalex.org/W2380425739","https://openalex.org/W2081322886","https://openalex.org/W2349324463","https://openalex.org/W1988313539","https://openalex.org/W2029980887","https://openalex.org/W2027541371","https://openalex.org/W2380535488","https://openalex.org/W2371144154"],"abstract_inverted_index":{"The":[0],"accurate":[1],"prediction":[2,18,138],"of":[3,11,43,77],"traffic":[4],"flow":[5],"is":[6],"paramount":[7],"for":[8,22,92],"the":[9,35,47,71,75,78,82,90,103,123],"advancement":[10],"intelligent":[12],"transportation":[13],"systems.":[14],"Despite":[15],"this,":[16,44],"current":[17],"models":[19],"only":[20],"account":[21],"either":[23],"temporal":[24,87],"or":[25],"spatial":[26,98],"features":[27],"in":[28],"isolation,":[29],"without":[30],"considering":[31],"their":[32],"interaction,":[33],"impeding":[34],"model\u2019s":[36],"ability":[37],"to":[38,109],"express":[39],"itself.":[40],"In":[41],"light":[42],"we":[45,62,100],"propose":[46,63],"graph":[48],"differential":[49],"equations":[50],"network":[51],"(GDENet),":[52],"an":[53],"approach":[54],"that":[55],"can":[56],"effectively":[57],"mine":[58],"spatiotemporal":[59,65,104],"correlation.":[60],"Specifically,":[61],"a":[64],"feature":[66],"integrator":[67],"(STFI),":[68],"which":[69],"alleviates":[70],"error":[72],"caused":[73],"by":[74],"deviation":[76],"sampling":[79],"distribution":[80],"from":[81],"overall":[83],"distribution.":[84],"By":[85],"incorporating":[86],"information":[88],"into":[89],"model":[91,135],"training":[93],"and":[94,118,122,132],"combining":[95],"it":[96],"with":[97,129],"features,":[99],"thoroughly":[101],"explore":[102],"intrinsic":[105],"association.":[106],"When":[107],"compared":[108],"state\u2010of\u2010the\u2010art":[110],"methods,":[111],"our":[112,133],"proposed":[113,134],"algorithm":[114],"reduces":[115],"memory":[116],"consumption":[117],"elevates":[119],"computational":[120],"efficiency":[121],"practical":[124],"value.":[125],"We":[126],"conduct":[127],"experiments":[128],"real\u2010world":[130],"datasets,":[131],"outperformed":[136],"advanced":[137],"models.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
