{"id":"https://openalex.org/W2949732208","doi":"https://doi.org/10.1145/3292500.3330877","title":"Origin-Destination Matrix Prediction via Graph Convolution","display_name":"Origin-Destination Matrix Prediction via Graph Convolution","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2949732208","doi":"https://doi.org/10.1145/3292500.3330877","mag":"2949732208"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-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/A5101675919","display_name":"Yuandong Wang","orcid":"https://orcid.org/0000-0001-9072-2143"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuandong Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009606065","display_name":"Hongxu Chen","orcid":"https://orcid.org/0000-0001-7963-8813"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongxu Chen","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066123431","display_name":"Tianyu Wo","orcid":"https://orcid.org/0000-0002-5331-3364"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Wo","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639079","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0003-4102-233X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["University of Leeds, Leeds, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603979","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0002-0217-3998"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101675919"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":47.2176,"has_fulltext":false,"cited_by_count":252,"citation_normalized_percentile":{"value":0.99936637,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1227","last_page":"1235"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","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":0.805007815361023},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5217324495315552},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.5216529965400696},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5016825199127197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4578801989555359},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4240632653236389},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42255792021751404},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3683246970176697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3678344786167145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3147642910480499},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21300441026687622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805007815361023},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5217324495315552},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.5216529965400696},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5016825199127197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4578801989555359},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4240632653236389},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42255792021751404},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3683246970176697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3678344786167145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3147642910480499},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21300441026687622},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1522301498","https://openalex.org/W1997799527","https://openalex.org/W2039767004","https://openalex.org/W2064675550","https://openalex.org/W2066365352","https://openalex.org/W2069866087","https://openalex.org/W2276747974","https://openalex.org/W2513610673","https://openalex.org/W2528040708","https://openalex.org/W2528639018","https://openalex.org/W2534727297","https://openalex.org/W2539259927","https://openalex.org/W2565330852","https://openalex.org/W2584174354","https://openalex.org/W2604847698","https://openalex.org/W2606862842","https://openalex.org/W2730580788","https://openalex.org/W2743316574","https://openalex.org/W2771332840","https://openalex.org/W2788134583","https://openalex.org/W2788950488","https://openalex.org/W2809291355","https://openalex.org/W2809645418","https://openalex.org/W2907586903","https://openalex.org/W2950191616","https://openalex.org/W2951626691","https://openalex.org/W2952254971","https://openalex.org/W2962767366"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W2012785328","https://openalex.org/W2015184777","https://openalex.org/W962287279","https://openalex.org/W3112734853","https://openalex.org/W2342558870"],"abstract_inverted_index":{"Ride-hailing":[0],"applications":[1],"are":[2],"becoming":[3],"more":[4,6,108],"and":[5,11,79,165,182,198,211,232],"popular":[7],"for":[8,74],"providing":[9],"drivers":[10],"passengers":[12,181],"with":[13],"convenient":[14],"ride":[15,35,72],"services,":[16],"especially":[17],"in":[18,50,87,120],"metropolises":[19],"like":[20],"Beijing":[21],"or":[22],"New":[23],"York.":[24],"To":[25,142],"obtain":[26],"the":[27,31,40,99,104,111,116,126,130,144,176,188,196,216,238,244],"passengers'":[28],"mobility":[29,178],"patterns,":[30],"online":[32],"platforms":[33],"of":[34,42,71,98,118,132,159,180,185,191,200,215,221,240],"services":[36,73],"need":[37],"to":[38,48,68,128,174,194],"predict":[39,129],"number":[41,117],"passenger":[43],"demands":[44,119],"from":[45,230],"one":[46],"region":[47],"another":[49],"advance.":[51],"We":[52],"formulate":[53],"this":[54,64,94],"problem":[55,65,95,106,145],"as":[56],"an":[57],"Origin-Destination":[58],"Matrix":[59],"Prediction":[60],"(ODMP)":[61],"problem.":[62,218],"Though":[63],"is":[66,102,107,138,172,224],"essential":[67],"large-scale":[69],"providers":[70,81],"helping":[75],"them":[76],"make":[77],"decisions":[78],"some":[80],"have":[82,91],"already":[83],"put":[84],"it":[85,123],"forward":[86],"public,":[88],"existing":[89],"studies":[90],"not":[92],"solved":[93],"well.":[96],"One":[97],"main":[100],"reasons":[101],"that":[103],"ODMP":[105,217],"challenging":[109],"than":[110],"common":[112],"demand":[113],"prediction.":[114],"Besides":[115],"a":[121,139,149],"region,":[122],"also":[124],"requires":[125],"model":[127,175,223],"destinations":[131],"them.":[133],"In":[134],"addition,":[135],"data":[136],"sparsity":[137,197],"severe":[140],"issue.":[141],"solve":[143],"effectively,":[146],"we":[147],"propose":[148],"unified":[150],"model,":[151],"Grid-Embedding":[152,170],"based":[153],"Multi-task":[154,203],"Learning":[155,204],"(GEML)":[156],"which":[157,192],"consists":[158],"two":[160],"components":[161],"focusing":[162],"on":[163,207,226],"spatial":[164,177],"temporal":[166,209],"information":[167],"respectively.":[168],"The":[169,202,219,234],"part":[171],"designed":[173],"patterns":[179],"neighboring":[183],"relationships":[184],"different":[186],"areas,":[187],"pre-weighted":[189],"aggregator":[190],"aims":[193],"sense":[195],"range":[199],"data.":[201],"framework":[205],"focuses":[206],"modeling":[208],"attributes":[210],"capturing":[212],"several":[213],"objectives":[214],"evaluation":[220],"our":[222,241],"conducted":[225],"real":[227],"operational":[228],"datasets":[229],"UCAR":[231],"Didi.":[233],"experimental":[235],"results":[236],"demonstrate":[237],"superiority":[239],"GEML":[242],"against":[243],"state-of-the-art":[245],"approaches.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}