{"id":"https://openalex.org/W4400894167","doi":"https://doi.org/10.1080/13658816.2024.2381221","title":"Spatio-temporal graph neural networks for missing data completion in traffic prediction","display_name":"Spatio-temporal graph neural networks for missing data completion in traffic prediction","publication_year":2024,"publication_date":"2024-07-22","ids":{"openalex":"https://openalex.org/W4400894167","doi":"https://doi.org/10.1080/13658816.2024.2381221"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2024.2381221","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2381221","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","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/A5049414967","display_name":"Jiahui Chen","orcid":"https://orcid.org/0000-0002-5170-576X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences","University of Chinese Academy of Sciences","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597184","display_name":"Lina Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591010","display_name":"Yi Yang","orcid":"https://orcid.org/0009-0009-7760-333X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation","Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072686771","display_name":"Ling Peng","orcid":"https://orcid.org/0009-0008-9475-3973"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Peng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences","University of Chinese Academy of Sciences","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062853294","display_name":"Xingtong Ge","orcid":"https://orcid.org/0000-0001-7603-2832"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingtong Ge","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences","University of Chinese Academy of Sciences","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115597184"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":2.6713,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89477718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"39","issue":"5","first_page":"1057","last_page":"1075"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.5514397621154785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5062002539634705},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5038890242576599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48990267515182495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4758981168270111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42823922634124756},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.38657188415527344},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3586822748184204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2702115774154663},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12013837695121765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514397621154785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5062002539634705},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5038890242576599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48990267515182495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4758981168270111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42823922634124756},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.38657188415527344},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3586822748184204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2702115774154663},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12013837695121765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2024.2381221","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2381221","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2531563875","https://openalex.org/W2756203131","https://openalex.org/W2793820729","https://openalex.org/W2889230014","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2960749694","https://openalex.org/W2964010366","https://openalex.org/W2965341826","https://openalex.org/W2997705255","https://openalex.org/W2999301586","https://openalex.org/W3034077089","https://openalex.org/W3038719270","https://openalex.org/W3038969758","https://openalex.org/W3038981236","https://openalex.org/W3041279471","https://openalex.org/W3041552048","https://openalex.org/W3080253043","https://openalex.org/W3093761440","https://openalex.org/W3110666852","https://openalex.org/W3125675327","https://openalex.org/W3134550335","https://openalex.org/W3158304688","https://openalex.org/W3164346365","https://openalex.org/W3179429918","https://openalex.org/W3184905227","https://openalex.org/W4214692098","https://openalex.org/W4224991288","https://openalex.org/W4225262111","https://openalex.org/W4285147743","https://openalex.org/W4285260294","https://openalex.org/W4288455776","https://openalex.org/W4289444019","https://openalex.org/W4309623216","https://openalex.org/W4312703862","https://openalex.org/W4313304560","https://openalex.org/W4328008037","https://openalex.org/W4378364371","https://openalex.org/W4384665479","https://openalex.org/W4386224248","https://openalex.org/W4387407668","https://openalex.org/W4391913514","https://openalex.org/W6600175266","https://openalex.org/W6600459194"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4285201053","https://openalex.org/W2753779043"],"abstract_inverted_index":{"Missing":[0],"traffic":[1,31,43,76,106,114,136],"data":[2,77,87,111,115,137],"completion":[3,116],"is":[4,81],"a":[5,12,48,67,72,84],"key":[6],"part":[7],"of":[8,11,95],"the":[9,92,124],"construction":[10],"smart":[13],"city.":[14],"However,":[15],"due":[16],"to":[17,29],"cost":[18],"constraints":[19],"and":[20,66,131,142],"other":[21,96],"reasons,":[22],"many":[23],"locations":[24],"do":[25,36],"not":[26,37],"have":[27],"sensors":[28],"record":[30],"data.":[32,44],"Most":[33],"research":[34],"methods":[35],"systematically":[38],"consider":[39],"filling":[40],"in":[41,133],"missing":[42,75,86,110,113,140],"This":[45,79],"study":[46],"explores":[47],"new":[49],"spatio-temporal":[50,56,93,129],"feature":[51,57],"extraction":[52],"layer":[53],"that":[54,123],"includes":[55],"fusion,":[58],"graph":[59,117],"learning":[60],"on":[61,83],"an":[62,104],"adaptive":[63],"adjacency":[64],"matrix,":[65],"gated":[68],"recurrent":[69],"unit":[70],"with":[71,109,138],"mask":[73],"for":[74],"completion.":[78],"idea":[80],"based":[82],"hypothesis:":[85],"can":[88,127],"be":[89],"inferred":[90],"from":[91,135],"features":[94],"nearby":[97],"recorded":[98],"sensor":[99],"nodes.":[100],"Therefore,":[101],"we":[102],"propose":[103],"end-to-end":[105],"model":[107,126],"dealing":[108],"-":[112],"neural":[118],"networks":[119],"(MTC-GNN).":[120],"Experiments":[121],"demonstrate":[122],"proposed":[125],"learn":[128],"patterns":[130],"fill":[132],"speed":[134],"various":[139],"ratios":[141],"outperform":[143],"existing":[144],"models.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
