{"id":"https://openalex.org/W4408941226","doi":"https://doi.org/10.1109/tits.2025.3552111","title":"Cluster-Granularity Spatiotemporal Transfer for Cross-Region Graph-Based Traffic Forecasting","display_name":"Cluster-Granularity Spatiotemporal Transfer for Cross-Region Graph-Based Traffic Forecasting","publication_year":2025,"publication_date":"2025-03-29","ids":{"openalex":"https://openalex.org/W4408941226","doi":"https://doi.org/10.1109/tits.2025.3552111"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3552111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3552111","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/A5086875702","display_name":"Canyang Guo","orcid":"https://orcid.org/0000-0003-2164-369X"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Canyang Guo","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Quanzhou Normal University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2164-369X","affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Quanzhou Normal University, Quanzhou, China","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080418309","display_name":"Feng-Jang Hwang","orcid":"https://orcid.org/0000-0002-1741-5590"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Feng-Jang Hwang","raw_affiliation_strings":["Department of Business Management, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1741-5590","affiliations":[{"raw_affiliation_string":"Department of Business Management, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065077361","display_name":"Chi\u2010Hua Chen","orcid":"https://orcid.org/0000-0001-7668-7425"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi-Hua Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7668-7425","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014271344","display_name":"Ching\u2010Chun Chang","orcid":"https://orcid.org/0000-0001-7723-4591"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["JP","TW"],"is_corresponding":false,"raw_author_name":"Ching-Chun Chang","raw_affiliation_strings":["Department of Information Engineering, Feng Chia University, Taichung, Taiwan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7723-4591","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038550838","display_name":"Chin\u2010Chen Chang","orcid":"https://orcid.org/0000-0002-7319-5780"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["JP","TW"],"is_corresponding":false,"raw_author_name":"Chin-Chen Chang","raw_affiliation_strings":["Department of Information Engineering, Feng Chia University, Taichung, Taiwan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7319-5780","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086875702"],"corresponding_institution_ids":["https://openalex.org/I169019527"],"apc_list":null,"apc_paid":null,"fwci":0.8988,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71438173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"7","first_page":"10780","last_page":"10794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.98089998960495,"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":0.98089998960495,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/granularity","display_name":"Granularity","score":0.8390194773674011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943638682365417},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5591760277748108},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.470951646566391},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.41437041759490967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.395563006401062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3746917247772217},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24999794363975525},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21396732330322266}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8390194773674011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943638682365417},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5591760277748108},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.470951646566391},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.41437041759490967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.395563006401062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3746917247772217},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24999794363975525},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21396732330322266},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3552111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3552111","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/G6628928692","display_name":null,"funder_award_id":"61906043","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1983883318","https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2963507686","https://openalex.org/W2965341826","https://openalex.org/W2966783050","https://openalex.org/W2996847713","https://openalex.org/W2998436408","https://openalex.org/W3093051361","https://openalex.org/W3123909522","https://openalex.org/W3126367810","https://openalex.org/W3133349961","https://openalex.org/W3142849873","https://openalex.org/W3174022889","https://openalex.org/W4212789441","https://openalex.org/W4221146484","https://openalex.org/W4249736682","https://openalex.org/W4290927794","https://openalex.org/W4290944372","https://openalex.org/W4312703862","https://openalex.org/W4381326995","https://openalex.org/W4382239616","https://openalex.org/W4383112908","https://openalex.org/W4385245566","https://openalex.org/W4385568303","https://openalex.org/W4391769786","https://openalex.org/W4403181998","https://openalex.org/W4403582734","https://openalex.org/W4403600951","https://openalex.org/W6619978402","https://openalex.org/W6631190155","https://openalex.org/W6734335776","https://openalex.org/W6736057607"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4256502920","https://openalex.org/W2354431794"],"abstract_inverted_index":{"The":[0,146,189],"graph-based":[1,74,100],"traffic":[2,40,50,75,101],"forecasting":[3,187],"is":[4,108,118,163,195],"generally":[5],"realized":[6],"on":[7,169],"the":[8,18,34,43,72,80,87,91,98,111,115,121,126,133,137,142,149,166,177,193],"assumption":[9],"of":[10,125,132,148,192],"sufficient":[11],"data,":[12,135],"which":[13,85,172],"could":[14],"be":[15],"impractical":[16],"in":[17,71,186],"regions":[19,45],"without":[20],"well-deployed":[21],"mobile":[22],"sensors":[23],"or":[24],"data-processing":[25],"facilities.":[26],"Recent":[27],"studies":[28],"have":[29,66],"developed":[30],"a":[31],"solution":[32],"with":[33],"cross-region":[35,73,99],"transfer":[36,83],"learning,":[37],"i.e.":[38],"transferring":[39],"knowledge":[41,89,107],"from":[42,90],"source":[44,92,106],"to":[46,94,110,141],"target":[47,95,112,143],"ones,":[48],"whose":[49],"data":[51],"and":[52,63,129,160],"computing":[53],"resources":[54],"are":[55],"limited.":[56],"Nevertheless,":[57],"relevant":[58],"issues,":[59],"including":[60],"initialization":[61],"selection":[62],"domain":[64,116],"adaptation,":[65],"not":[67,104],"been":[68],"effectively":[69],"tackled":[70],"forecasting.":[76],"This":[77],"paper":[78],"proposes":[79],"cluster-granularity":[81,88],"spatiotemporal":[82],"(CGSTT),":[84],"transfers":[86],"region":[93,144],"one":[96],"for":[97,157],"forecasting,":[102],"as":[103],"all":[105],"positive":[109],"region.":[113],"Additionally,":[114],"adaptation":[117],"achieved":[119],"by":[120,165,180],"dual":[122],"alignment":[123,128,131],"consisting":[124],"covariate":[127],"label":[130],"source/target":[134],"making":[136],"proposed":[138,150],"CGSTT":[139,194],"adapt":[140],"efficiently.":[145],"superiority":[147],"method":[151,179],"over":[152],"ten":[153],"compared":[154],"baseline":[155],"methods":[156],"both":[158],"short-term":[159],"long-term":[161],"predictions":[162],"demonstrated":[164],"conducted":[167],"experiments":[168],"four":[170],"tasks,":[171],"show":[173],"that":[174],"it":[175],"outperforms":[176],"state-of-the-art":[178],"achieving":[181],"an":[182],"8.89%":[183],"average":[184],"improvement":[185],"accuracy.":[188],"PyTorch":[190],"implementation":[191],"available":[196],"at":[197],"<uri":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/canyangguo/CGSTT</uri>.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
