{"id":"https://openalex.org/W4402352864","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650008","title":"Spatial\u2013Temporal Traffic Prediction Model Based on Adaptive Graphs Fusion and Dual-Graph Collaborative Convolution","display_name":"Spatial\u2013Temporal Traffic Prediction Model Based on Adaptive Graphs Fusion and Dual-Graph Collaborative Convolution","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352864","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650008"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650008","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5081517300","display_name":"Zhen Cheng","orcid":"https://orcid.org/0009-0006-7333-090X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Cheng","raw_affiliation_strings":["East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100560954","display_name":"Song Qiu","orcid":"https://orcid.org/0000-0001-9035-5611"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Qiu","raw_affiliation_strings":["East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318685","display_name":"Sun Li","orcid":"https://orcid.org/0000-0003-0950-4611"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Sun","raw_affiliation_strings":["East China Normal University,Shanghai Key Lab. of Multidimensional Information Processing,Shanghai,China,200241"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Lab. of Multidimensional Information Processing,Shanghai,China,200241","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065303489","display_name":"Dingding Han","orcid":"https://orcid.org/0000-0001-5340-9086"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingding Han","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["East China Normal University,Shanghai Key Lab. of Multidimensional Information Processing,Shanghai,China,200241"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Lab. of Multidimensional Information Processing,Shanghai,China,200241","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025413633","display_name":"Mingsong Chen","orcid":"https://orcid.org/0000-0002-3922-0989"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsong Chen","raw_affiliation_strings":["East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,MOE Eng. Research Center of SW/HW Co-Design Tech. And App.,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"8"},"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":0.9908000230789185,"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":0.9793000221252441,"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":0.7353057861328125},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6143677830696106},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5928152799606323},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5072912573814392},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42755192518234253},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4222256541252136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3998715877532959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33875077962875366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32112768292427063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11925646662712097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353057861328125},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6143677830696106},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5928152799606323},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5072912573814392},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42755192518234253},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4222256541252136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3998715877532959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33875077962875366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32112768292427063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11925646662712097},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650008","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1529026127","https://openalex.org/W1574447377","https://openalex.org/W1973943669","https://openalex.org/W2064675550","https://openalex.org/W2115064737","https://openalex.org/W2116341502","https://openalex.org/W2171234954","https://openalex.org/W2392708022","https://openalex.org/W2572939427","https://openalex.org/W2600687292","https://openalex.org/W2604847698","https://openalex.org/W2756203131","https://openalex.org/W2892880750","https://openalex.org/W2903871660","https://openalex.org/W2935726879","https://openalex.org/W2951927893","https://openalex.org/W2965341826","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3211802628","https://openalex.org/W4225851501","https://openalex.org/W4306316939","https://openalex.org/W4318603871","https://openalex.org/W4382239616","https://openalex.org/W4385767691","https://openalex.org/W6604828220","https://openalex.org/W6623216214","https://openalex.org/W6680532697","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6746015598","https://openalex.org/W6780221082"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2515288625","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,55,146],"prediction":[2,56,168],"is":[3],"crucial":[4],"for":[5,86],"intelligent":[6],"transportation":[7],"systems":[8],"(ITS).":[9],"Traditional":[10],"graph":[11,74],"convolutional":[12,107],"networks":[13],"(GCNs)":[14],"have":[15],"limitations":[16],"in":[17,44,134],"handling":[18],"road":[19,46],"network":[20,108],"data.":[21],"These":[22],"GCNs":[23],"can":[24,92],"only":[25],"handle":[26],"binary":[27],"relationships":[28,95],"between":[29],"nodes":[30,43,98],"and":[31,37,68,75,105],"cannot":[32],"effectively":[33],"capture":[34,112,131],"the":[35,45,87,90,100,113,132,135,139,159],"dynamic":[36,114],"nonlinear":[38],"spatial":[39],"dependencies":[40],"among":[41,96],"multiple":[42,97],"network.":[47],"This":[48],"paper":[49],"proposes":[50],"an":[51],"innovative":[52],"spatial-temporal":[53],"traffic":[54,117,145,156,167],"model":[57,91,164],"to":[58,81,130,142],"address":[59],"this":[60],"challenge.":[61],"Firstly,":[62],"by":[63],"introducing":[64],"novel":[65],"graphs":[66],"fusion":[67],"hypergraph":[69,78,106],"encoding":[70,128],"module,":[71],"a":[72,121],"fused":[73],"its":[76],"dual":[77],"are":[79],"constructed":[80],"provide":[82],"richer":[83],"structural":[84],"information":[85,129],"model.":[88],"Then,":[89],"learn":[93],"complex":[94],"through":[99],"collaborative":[101],"convolution":[102],"of":[103,116,123,161],"GCN":[104],"(HGCN).":[109],"To":[110],"comprehensively":[111],"nature":[115],"flow,":[118],"we":[119],"utilize":[120],"variant":[122],"Transformer":[124],"combined":[125],"with":[126],"time":[127],"periodicity":[133],"data,":[136],"thereby":[137],"enhancing":[138],"model\u2019s":[140],"ability":[141],"recognize":[143],"periodic":[144],"patterns.":[147],"Comprehensive":[148],"experimental":[149],"results":[150],"on":[151],"two":[152],"publicly":[153],"accessible":[154],"real-world":[155],"datasets":[157],"demonstrate":[158],"superiority":[160],"our":[162],"proposed":[163],"over":[165],"state-of-the-art":[166],"models.":[169]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}