{"id":"https://openalex.org/W4389941581","doi":"https://doi.org/10.1007/s40747-023-01299-7","title":"Integrating knowledge representation into traffic prediction: a spatial\u2013temporal graph neural network with adaptive fusion features","display_name":"Integrating knowledge representation into traffic prediction: a spatial\u2013temporal graph neural network with adaptive fusion features","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389941581","doi":"https://doi.org/10.1007/s40747-023-01299-7"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01299-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01299-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01299-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01299-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101839113","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0002-4206-4163"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861809","display_name":"Yihan Liu","orcid":"https://orcid.org/0000-0001-7887-5024"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Liu","raw_affiliation_strings":["International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025534588","display_name":"Nianwen Ning","orcid":"https://orcid.org/0000-0001-9290-0361"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianwen Ning","raw_affiliation_strings":["International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335812","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-5986-7184"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Henan University, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, No. 401, Floor 4, Jiu Zhang School, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036056631","display_name":"Zixing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixing Zhang","raw_affiliation_strings":["Baidu Online Network Technology Co., Ltd, Beijing, 100085, China"],"affiliations":[{"raw_affiliation_string":"Baidu Online Network Technology Co., Ltd, Beijing, 100085, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003491781","display_name":"Xiao\u2010Zhi Gao","orcid":"https://orcid.org/0000-0002-0078-5675"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xiaozhi Gao","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, 70211, Finland"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, 70211, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432389","display_name":"Ning Lu","orcid":"https://orcid.org/0000-0002-2141-0653"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ning Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, K7L 3N6, Canada","Department of Electrical and Computer Engineering, Queen's University, Kingston, K7L 3N6, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, K7L 3N6, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, K7L 3N6, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101839113"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":2.2695,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87118246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"2883","last_page":"2900"},"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":0.9921000003814697,"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":0.9843999743461609,"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/interpretability","display_name":"Interpretability","score":0.8217641711235046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936322450637817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5360197424888611},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4911620318889618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48861461877822876},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44056352972984314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4397309124469757},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1403861939907074}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8217641711235046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936322450637817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5360197424888611},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4911620318889618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48861461877822876},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44056352972984314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4397309124469757},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1403861939907074},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01299-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01299-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01299-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ea8e4fda50814d0aa82363da6630f77d","is_oa":true,"landing_page_url":"https://doaj.org/article/ea8e4fda50814d0aa82363da6630f77d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2883-2900 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01299-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01299-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01299-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3011155338","display_name":null,"funder_award_id":"202102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4382693246","display_name":null,"funder_award_id":"62176088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4459724301","display_name":null,"funder_award_id":"12102210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4521352765","display_name":null,"funder_award_id":"No. 62176088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4630872448","display_name":null,"funder_award_id":"22102210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5072235292","display_name":null,"funder_award_id":"212102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6786504643","display_name":null,"funder_award_id":"212102210412","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389941581.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1982978808","https://openalex.org/W2145039203","https://openalex.org/W2572939427","https://openalex.org/W2901504064","https://openalex.org/W2921532413","https://openalex.org/W2963358464","https://openalex.org/W2968149264","https://openalex.org/W2969825018","https://openalex.org/W2993656574","https://openalex.org/W2996847713","https://openalex.org/W3042710080","https://openalex.org/W3043674345","https://openalex.org/W3102272367","https://openalex.org/W3107699589","https://openalex.org/W3109074851","https://openalex.org/W3123191313","https://openalex.org/W3129758539","https://openalex.org/W3133663379","https://openalex.org/W3143911195","https://openalex.org/W3164487383","https://openalex.org/W3171254206","https://openalex.org/W3184298948","https://openalex.org/W3193512724","https://openalex.org/W3197684537","https://openalex.org/W3210458411","https://openalex.org/W3214309058","https://openalex.org/W4200002683","https://openalex.org/W4205871600","https://openalex.org/W4211060471","https://openalex.org/W4212805305","https://openalex.org/W4212850611","https://openalex.org/W4213415874","https://openalex.org/W4224293834","https://openalex.org/W4281609631","https://openalex.org/W4283071010","https://openalex.org/W4285818445","https://openalex.org/W4291745514","https://openalex.org/W4291910373","https://openalex.org/W4294310679","https://openalex.org/W4296743024","https://openalex.org/W4297095047","https://openalex.org/W4309734258","https://openalex.org/W4312720137","https://openalex.org/W4313537271","https://openalex.org/W4313855663","https://openalex.org/W4317532053","https://openalex.org/W4323849306","https://openalex.org/W4361301288","https://openalex.org/W4382677657"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W2809283485","https://openalex.org/W4293768783","https://openalex.org/W4288347394"],"abstract_inverted_index":{"Abstract":[0],"Various":[1],"external":[2,125],"factors":[3,41],"that":[4,159],"interfere":[5],"with":[6,42,103,148],"traffic":[7,13,27,43,95,105,117,155],"flow,":[8],"such":[9,72],"as":[10,73],"weather":[11],"conditions,":[12],"accidents,":[14],"incidents,":[15],"and":[16,45,56,62,66,76,113,175,183],"Points":[17],"of":[18,54,124,131,185],"Interest":[19],"(POIs),":[20],"need":[21],"to":[22,51,121],"be":[23],"considered":[24],"in":[25,37,70],"performing":[26],"forecasting":[28,163],"tasks.":[29],"However,":[30],"the":[31,100,104,116,122,129,181,186],"current":[32],"research":[33],"methods":[34],"encounter":[35],"difficulties":[36],"effectively":[38],"incorporating":[39],"these":[40,81],"characteristics":[44],"efficiently":[46],"updating":[47],"them,":[48],"which":[49],"leads":[50],"a":[52,85,137,153],"lack":[53],"dynamics":[55],"interpretability.":[57],"Moreover,":[58],"capturing":[59],"temporal":[60],"dependence":[61,64],"spatial":[63],"separately":[65],"sequentially":[67],"can":[68],"result":[69],"issues,":[71],"information":[74],"loss":[75],"model":[77],"errors.":[78],"To":[79,127],"address":[80],"challenges,":[82],"we":[83,134],"present":[84],"Knowledge":[86],"Representation":[87],"learning-actuated":[88],"spatial\u2013temporal":[89,132,138],"graph":[90],"neural":[91],"network":[92],"(KR-STGNN)":[93],"for":[94,170],"flow":[96],"prediction.":[97,172],"We":[98],"combine":[99],"knowledge":[101],"embedding":[102],"features":[106,118],"via":[107],"Gated":[108],"Feature":[109],"Fusion":[110],"Module":[111],"(GFFM),":[112],"dynamically":[114],"update":[115],"adaptively":[119],"according":[120],"importance":[123],"factors.":[126],"conduct":[128],"co-capture":[130],"dependencies,":[133],"subsequently":[135],"propose":[136],"feature":[139],"synchronous":[140],"capture":[141],"module":[142],"(ST-FSCM)":[143],"combining":[144],"dilation":[145],"causal":[146],"convolution":[147],"GRU.":[149],"Experimental":[150],"results":[151],"on":[152],"real-world":[154],"data":[156],"set":[157],"demonstrate":[158],"KR-STGNN":[160],"has":[161],"superior":[162],"performances":[164],"over":[165],"diverse":[166],"prediction":[167],"horizons,":[168],"especially":[169],"short-term":[171],"The":[173],"ablation":[174],"perturbation":[176],"analysis":[177],"experiments":[178],"further":[179],"validate":[180],"effectiveness":[182],"robustness":[184],"designed":[187],"method.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
