{"id":"https://openalex.org/W2904349291","doi":"https://doi.org/10.1609/aaai.v33i01.33011004","title":"Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction","display_name":"Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904349291","doi":"https://doi.org/10.1609/aaai.v33i01.33011004","mag":"2904349291"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011004","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011004","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3890/3768","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3890/3768","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024633033","display_name":"Youru Li","orcid":"https://orcid.org/0000-0002-9326-9863"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youru Li","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867605","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0001-7315-3276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068473312","display_name":"Deqiang Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133358","display_name":"Search","ror":"https://ror.org/03f78hn46","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210133358"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deqiang Kong","raw_affiliation_strings":["Microsoft Search Technology Center"],"affiliations":[{"raw_affiliation_string":"Microsoft Search Technology Center","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210133358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029124416","display_name":"Meixiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixiang Xu","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024633033"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":22.7787,"has_fulltext":true,"cited_by_count":83,"citation_normalized_percentile":{"value":0.99494949,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"1004","last_page":"1011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9977999925613403,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9958000183105469,"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":0.8445148468017578},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6393238306045532},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.601032018661499},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5796144008636475},{"id":"https://openalex.org/keywords/serialization","display_name":"Serialization","score":0.46444278955459595},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4589565396308899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4403303563594818},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42479225993156433},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41160643100738525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38562315702438354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33884137868881226},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22517326474189758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8445148468017578},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6393238306045532},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.601032018661499},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5796144008636475},{"id":"https://openalex.org/C52723943","wikidata":"https://www.wikidata.org/wiki/Q1127410","display_name":"Serialization","level":2,"score":0.46444278955459595},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4589565396308899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4403303563594818},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42479225993156433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41160643100738525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38562315702438354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33884137868881226},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22517326474189758},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011004","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011004","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3890/3768","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011004","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011004","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3890/3768","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2951547336","display_name":null,"funder_award_id":"61532005","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3418929802","display_name":null,"funder_award_id":"B08004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4196429439","display_name":null,"funder_award_id":"B08004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G43915001","display_name":null,"funder_award_id":"61572068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4611563363","display_name":null,"funder_award_id":"No.61532005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4678000616","display_name":null,"funder_award_id":"2016YFB0800404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5000795367","display_name":null,"funder_award_id":"2016YFB0800404","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5219600258","display_name":null,"funder_award_id":"B08004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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/G6250363639","display_name":null,"funder_award_id":"2016YFB0800404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6469678730","display_name":null,"funder_award_id":"61532005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7072385062","display_name":null,"funder_award_id":"61532005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475133869","display_name":null,"funder_award_id":"2018YJS032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8114646031","display_name":null,"funder_award_id":"2016Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904349291.pdf","grobid_xml":"https://content.openalex.org/works/W2904349291.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2460771","https://openalex.org/W1498436455","https://openalex.org/W1739407491","https://openalex.org/W2016287239","https://openalex.org/W2109510699","https://openalex.org/W2131744502","https://openalex.org/W2137226992","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2157331557","https://openalex.org/W2163517193","https://openalex.org/W2172140247","https://openalex.org/W2299115575","https://openalex.org/W2415243320","https://openalex.org/W2464785945","https://openalex.org/W2515292392","https://openalex.org/W2583437448","https://openalex.org/W2624735749","https://openalex.org/W2770426760","https://openalex.org/W2788134583","https://openalex.org/W2790533564","https://openalex.org/W2806983170","https://openalex.org/W2808535700","https://openalex.org/W2809303669","https://openalex.org/W2884934420","https://openalex.org/W2914874661","https://openalex.org/W2964199361","https://openalex.org/W4246587917","https://openalex.org/W4294170691","https://openalex.org/W4297571622","https://openalex.org/W6666761814","https://openalex.org/W6680532697","https://openalex.org/W6948116018"],"related_works":["https://openalex.org/W4231356583","https://openalex.org/W1593760324","https://openalex.org/W2899905671","https://openalex.org/W2376159383","https://openalex.org/W2351439380","https://openalex.org/W2468279273","https://openalex.org/W2365228680","https://openalex.org/W2131622620","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":{"Bike-sharing":[0],"systems,":[1],"aiming":[2],"at":[3],"meeting":[4],"the":[5,57,95,110,144,163,172,192],"public\u2019s":[6],"need":[7],"for":[8,174],"\u201dlast":[9],"mile\u201d":[10],"transportation,":[11],"are":[12,39],"becoming":[13],"popular":[14],"in":[15,125,185],"recent":[16],"years.":[17],"With":[18],"an":[19,104,139],"accurate":[20],"demand":[21,61],"prediction":[22,62,198],"model,":[23],"shared":[24],"bikes,":[25],"though":[26],"with":[27,149,201],"a":[28,75,88,117,126,129],"limited":[29,72],"amount,":[30],"can":[31,55,168,195],"be":[32,169],"effectively":[33],"utilized":[34],"whenever":[35],"and":[36,160,204],"wherever":[37],"there":[38],"travel":[40],"demands.":[41],"Despite":[42],"that":[43,191],"some":[44],"deep":[45],"learning":[46],"methods,":[47],"especially":[48],"long":[49],"shortterm":[50],"memory":[51],"neural":[52],"networks":[53],"(LSTMs),":[54],"improve":[56],"performance":[58,199],"of":[59,77,112,143],"traditional":[60],"methods":[63],"only":[64],"based":[65],"on":[66],"temporal":[67,175],"representation,":[68],"such":[69,121,153],"improvement":[70],"is":[71,135],"due":[73],"to":[74,93,108,137],"lack":[76],"mining":[78],"complex":[79],"spatial-temporal":[80,99],"relations.":[81],"To":[82],"address":[83],"this":[84],"issue,":[85],"we":[86,102],"proposed":[87,193],"novel":[89],"model":[90,134,194],"named":[91],"STG2Vec":[92,167],"learn":[94],"representation":[96,142,164],"from":[97,179],"heterogeneous":[98,114],"graph.":[100],"Specifically,":[101],"developed":[103],"event-flow":[105],"serializing":[106],"method":[107],"encode":[109],"evolution":[111],"dynamic":[113,130],"graph":[115,132],"into":[116,171],"special":[118],"language":[119],"pattern":[120],"as":[122,154],"word":[123],"sequence":[124],"corpus.":[127],"Furthermore,":[128],"attention-based":[131],"embedding":[133],"introduced":[136],"obtain":[138],"importance-awareness":[140],"vectorized":[141],"event":[145],"flow.":[146],"Additionally,":[147],"together":[148],"other":[150,205],"multi-source":[151],"information":[152],"geographical":[155],"position,":[156],"historical":[157],"transition":[158],"patterns":[159],"weather,":[161],"e.g.,":[162],"learned":[165],"by":[166],"fed":[170],"LSTMs":[173],"modeling.":[176],"Experimental":[177],"results":[178],"Citi-Bike":[180],"electronic":[181],"usage":[182],"records":[183],"dataset":[184],"New":[186],"York":[187],"City":[188],"have":[189],"illustrated":[190],"achieve":[196],"competitive":[197],"compared":[200],"its":[202],"variants":[203],"baseline":[206],"models.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
