{"id":"https://openalex.org/W4387717615","doi":"https://doi.org/10.1109/tits.2023.3322717","title":"Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks","display_name":"Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387717615","doi":"https://doi.org/10.1109/tits.2023.3322717"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3322717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3322717","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/A5041224976","display_name":"Yuebing Liang","orcid":"https://orcid.org/0000-0003-2089-4606"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuebing Liang","raw_affiliation_strings":["Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, SAR, China","MIT Senseable City Laboratory, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2089-4606","affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"MIT Senseable City Laboratory, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017181051","display_name":"Guan Huang","orcid":"https://orcid.org/0000-0002-6233-3746"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guan Huang","raw_affiliation_strings":["Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-6233-3746","affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003236313","display_name":"Zhan Zhao","orcid":"https://orcid.org/0000-0001-5170-9608"},"institutions":[{"id":"https://openalex.org/I4210114340","display_name":"Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche","ror":"https://ror.org/02hdf6119","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210114340","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210118286","display_name":"Hong Kong Design Centre","ror":"https://ror.org/02hbtf857","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210118286"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK","IT"],"is_corresponding":false,"raw_author_name":"Zhan Zhao","raw_affiliation_strings":["Department of Urban Planning and Design, Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, SAR, China","Department of Urban Planning and Design, and the Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5170-9608","affiliations":[{"raw_affiliation_string":"Department of Urban Planning and Design, Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I4210114340","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Urban Planning and Design, and the Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I4210118286","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5548,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9338776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"25","issue":"5","first_page":"3642","last_page":"3653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9908000230789185,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9908000230789185,"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":0.9837999939918518,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.617436945438385},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6101574897766113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5238161683082581},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5171470046043396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4680314362049103},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4373210072517395},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4266824722290039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3356465995311737},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.10310631990432739},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08780857920646667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617436945438385},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6101574897766113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5238161683082581},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5171470046043396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4680314362049103},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4373210072517395},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4266824722290039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3356465995311737},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.10310631990432739},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08780857920646667},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3322717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3322717","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/G2649421259","display_name":null,"funder_award_id":"URC104006019","funder_id":"https://openalex.org/F4320334890","funder_display_name":"University Research Committee, University of Hong Kong"},{"id":"https://openalex.org/G6427696043","display_name":null,"funder_award_id":"NSFC 42201502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8926163996","display_name":null,"funder_award_id":"URC109000301","funder_id":"https://openalex.org/F4320334890","funder_display_name":"University Research Committee, University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334890","display_name":"University Research Committee, University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1915739922","https://openalex.org/W2075767181","https://openalex.org/W2772724270","https://openalex.org/W2883073525","https://openalex.org/W2883442340","https://openalex.org/W2904290664","https://openalex.org/W2904430055","https://openalex.org/W2904832339","https://openalex.org/W2952734551","https://openalex.org/W2965341826","https://openalex.org/W3012677429","https://openalex.org/W3013925715","https://openalex.org/W3092609815","https://openalex.org/W3094231942","https://openalex.org/W3103720336","https://openalex.org/W3154524254","https://openalex.org/W3161667249","https://openalex.org/W3195102072","https://openalex.org/W3213422146","https://openalex.org/W4205173468","https://openalex.org/W4210488338","https://openalex.org/W4221146484","https://openalex.org/W4221166165","https://openalex.org/W4225851501","https://openalex.org/W4285604458","https://openalex.org/W4290927668","https://openalex.org/W4308080441","https://openalex.org/W4384450936","https://openalex.org/W4392523490","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6767288045","https://openalex.org/W6785773631","https://openalex.org/W6810121239","https://openalex.org/W6850981783"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4394775207"],"abstract_inverted_index":{"For":[0],"bike":[1,23,56,118,175],"sharing":[2,24,57,119],"systems,":[3],"demand":[4,25,34,120,140],"prediction":[5,26,121],"is":[6,52,60,79,133],"crucial":[7],"to":[8,17,63,100,135,196],"ensure":[9],"the":[10,45,91,188,200],"timely":[11],"re-balancing":[12],"of":[13,81,142,191,202],"available":[14],"bikes":[15],"according":[16],"predicted":[18],"demand.":[19],"Existing":[20],"methods":[21,198],"for":[22,55,117],"are":[27,171],"mostly":[28],"based":[29],"on":[30],"its":[31],"own":[32],"historical":[33,124],"variation,":[35],"essentially":[36],"regarding":[37],"it":[38,59],"as":[39,126],"a":[40,110,155],"closed":[41],"system":[42],"and":[43,88,165,178,199],"neglecting":[44],"interaction":[46],"between":[47,94,148],"different":[48,143,203],"transportation":[49],"modes.":[50,144],"This":[51],"particularly":[53],"important":[54],"because":[58],"often":[61],"used":[62],"complement":[64],"travel":[65],"through":[66],"other":[67],"modes":[68,87],"(e.g.,":[69],"public":[70],"transit).":[71],"Despite":[72],"some":[73],"recent":[74],"progress,":[75],"no":[76],"existing":[77,197],"method":[78],"capable":[80],"leveraging":[82],"spatiotemporal":[83,129],"information":[84],"from":[85,139,181],"multiple":[86],"explicitly":[89],"considers":[90],"distribution":[92],"discrepancy":[93],"them,":[95],"which":[96],"can":[97],"easily":[98],"lead":[99],"negative":[101],"transfer.":[102],"To":[103,145],"address":[104],"these":[105],"challenges,":[106],"this":[107],"study":[108],"proposes":[109],"domain-adversarial":[111],"multi-relational":[112,156],"graph":[113,157],"neural":[114,158],"network":[115,132,159],"(DA-MRGNN)":[116],"with":[122],"multimodal":[123],"data":[125,180],"input.":[127],"A":[128],"adversarial":[130],"adaptation":[131],"introduced":[134],"extract":[136],"shareable":[137],"features":[138],"patterns":[141],"capture":[146],"correlations":[147],"spatial":[149],"units":[150],"across":[151],"modes,":[152],"we":[153],"adapt":[154],"(MRGNN)":[160],"considering":[161],"both":[162],"geographical":[163],"proximity":[164],"mobility":[166],"pattern":[167],"similarity.":[168],"Extensive":[169],"experiments":[170],"conducted":[172],"using":[173],"real-world":[174],"sharing,":[176],"subway":[177],"ride-hailing":[179],"New":[182],"York":[183],"City.":[184],"The":[185],"results":[186],"demonstrate":[187],"superior":[189],"performance":[190],"our":[192],"proposed":[193],"approach":[194],"compared":[195],"effectiveness":[201],"model":[204],"components.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
