{"id":"https://openalex.org/W4392207811","doi":"https://doi.org/10.1109/tits.2024.3365179","title":"Regularized Spatial\u2013Temporal Graph Convolutional Networks for Metro Passenger Flow Prediction","display_name":"Regularized Spatial\u2013Temporal Graph Convolutional Networks for Metro Passenger Flow Prediction","publication_year":2024,"publication_date":"2024-02-27","ids":{"openalex":"https://openalex.org/W4392207811","doi":"https://doi.org/10.1109/tits.2024.3365179"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3365179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3365179","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Gao","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458867","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0003-0510-6501"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079270412","display_name":"Jiajin Huang","orcid":"https://orcid.org/0000-0002-7495-3440"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajin Huang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422377","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-8182-2852"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680344","display_name":"Xianghua Li","orcid":"https://orcid.org/0000-0003-0253-3882"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Li","raw_affiliation_strings":["Institute of Artificial Intelligence (TeleAI), China Telecom Corporation Ltd., Beijing, China","School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (TeleAI), China Telecom Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Institute of Artificial Intelligence (TeleAI), China Telecom Corporation Ltd., Beijing, China","School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (TeleAI), China Telecom Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5086236078"],"corresponding_institution_ids":["https://openalex.org/I142108993","https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":6.8979,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97617132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"9","first_page":"11241","last_page":"11255"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987999796867371,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9975000023841858,"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":0.5771406888961792},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46543967723846436},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.40053844451904297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25442415475845337},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21291238069534302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5771406888961792},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46543967723846436},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.40053844451904297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25442415475845337},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21291238069534302}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3365179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3365179","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G192882225","display_name":null,"funder_award_id":"U22B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3798114921","display_name":null,"funder_award_id":"171105","funder_id":"https://openalex.org/F4320334945","funder_display_name":"Fok Ying Tong Education Foundation"},{"id":"https://openalex.org/G5518866307","display_name":null,"funder_award_id":"62271411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5549910651","display_name":null,"funder_award_id":"2022YFE0112300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8161903434","display_name":null,"funder_award_id":"U22A2098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8164477345","display_name":null,"funder_award_id":"61976181","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/F4320334945","display_name":"Fok Ying Tong Education Foundation","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W2069929199","https://openalex.org/W2090192376","https://openalex.org/W2366933034","https://openalex.org/W2392708022","https://openalex.org/W2528639018","https://openalex.org/W2560675361","https://openalex.org/W2579495707","https://openalex.org/W2600702321","https://openalex.org/W2733329190","https://openalex.org/W2756203131","https://openalex.org/W2888096830","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904832339","https://openalex.org/W2910892140","https://openalex.org/W2935726879","https://openalex.org/W2946964936","https://openalex.org/W2949732208","https://openalex.org/W2963165299","https://openalex.org/W2963358464","https://openalex.org/W2963653811","https://openalex.org/W2964319113","https://openalex.org/W2964321699","https://openalex.org/W2965341826","https://openalex.org/W2966445777","https://openalex.org/W2996847713","https://openalex.org/W3001437801","https://openalex.org/W3026400623","https://openalex.org/W3032942478","https://openalex.org/W3034722190","https://openalex.org/W3034944009","https://openalex.org/W3040607188","https://openalex.org/W3045200674","https://openalex.org/W3084616068","https://openalex.org/W3093639344","https://openalex.org/W3103720336","https://openalex.org/W3106867121","https://openalex.org/W3107462623","https://openalex.org/W3117809560","https://openalex.org/W3123688691","https://openalex.org/W3125675327","https://openalex.org/W3159709541","https://openalex.org/W3174022889","https://openalex.org/W3174672503","https://openalex.org/W3174864715","https://openalex.org/W3185561982","https://openalex.org/W3199183955","https://openalex.org/W3204875639","https://openalex.org/W3214882838","https://openalex.org/W4289533938","https://openalex.org/W4385245566","https://openalex.org/W6637178625","https://openalex.org/W6679434410","https://openalex.org/W6726873649","https://openalex.org/W6730235577","https://openalex.org/W6738964360","https://openalex.org/W6746015598","https://openalex.org/W6748529151","https://openalex.org/W6782468546","https://openalex.org/W6797578546"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"One":[0],"of":[1,29,41,46,59,88,100,110,155,164,179,202,217,227],"the":[2,11,22,53,57,67,86,98,153,156,162,170,200,203,215,221],"challenging":[3],"topics":[4],"in":[5,75],"Intelligent":[6],"Transportation":[7],"Systems":[8],"(ITSs)":[9],"is":[10,229],"metro":[12,30,61,77,111,126],"passenger":[13,31,62,78,89,112,127,165,180],"flow":[14,90,128],"prediction.":[15],"It":[16],"has":[17],"great":[18],"practical":[19],"significance":[20],"for":[21,125,160],"daily":[23],"crowd":[24],"management":[25],"and":[26,49,55,103,190,211],"vehicle":[27],"scheduling":[28],"flow.":[32,63,79,113,166,181],"Recently,":[33],"Graph":[34],"Convolutional":[35],"Networks":[36],"(GCN)":[37],"represent":[38],"a":[39,136,144,186,191],"station":[40],"metros":[42],"by":[43],"aggregating":[44],"information":[45],"stations":[47],"directly":[48],"indirectly":[50],"connected":[51],"with":[52,91],"station,":[54],"improve":[56,199],"effectiveness":[58],"predicting":[60,76,161],"Despite":[64],"its":[65],"effectiveness,":[66],"neighborhood":[68,157],"aggregation":[69,158],"scheme":[70,159],"also":[71],"brings":[72],"two":[73],"limitations":[74],"First,":[80],"it":[81,96],"limits":[82],"to":[83,107,148,151,174,198],"predict":[84],"accurately":[85],"peak":[87,163],"large":[92],"data":[93,102,109],"fluctuation.":[94],"Second,":[95],"enlarges":[97],"impact":[99,154],"noisy":[101,108],"makes":[104],"results":[105],"vulnerable":[106],"To":[114],"solve":[115],"these":[116],"problems,":[117],"we":[118,133,168,184],"propose":[119,135],"regularized":[120],"spatial-temporal":[121,177],"graph":[122],"convolutional":[123],"networks":[124],"prediction":[129],"(PMR-GCN).":[130],"More":[131],"specifically,":[132],"first":[134],"novel":[137],"personalized":[138],"enhanced":[139],"GCN":[140],"(P-GCN),":[141],"which":[142],"defines":[143],"trainable":[145],"diagonal":[146],"matrix":[147],"adaptively":[149],"learn":[150],"control":[152],"Then,":[167],"introduce":[169],"multi-head":[171],"self-attention":[172],"mechanism":[173],"capture":[175],"richer":[176],"features":[178],"In":[182],"addition,":[183],"utilize":[185],"Fourier":[187],"Transform":[188],"module":[189],"dual":[192],"structure":[193],"based":[194],"on":[195,208],"KL-divergence":[196],"regularization":[197],"robustness":[201],"proposed":[204],"model.":[205],"Extensive":[206],"experiments":[207],"Shanghai,":[209],"Chongqing,":[210],"Hangzhou":[212],"datasets":[213],"demonstrate":[214],"superiority":[216],"our":[218],"model":[219],"over":[220],"state-of-the-art":[222],"baseline":[223],"methods.":[224],"The":[225],"code":[226],"PMR-GCN":[228],"available":[230],"at":[231],"https://github.com/cgao-comp/PMC-GCN.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
