{"id":"https://openalex.org/W4320024199","doi":"https://doi.org/10.1109/bigdata55660.2022.10020288","title":"3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting","display_name":"3D-STGPCN: 3D Spatio-Temporal Graph Point-wise Convolutional Network for Traffic Forecasting","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024199","doi":"https://doi.org/10.1109/bigdata55660.2022.10020288"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020288","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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/A5035574696","display_name":"Manh-Phu Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Manh-Phu Nguyen","raw_affiliation_strings":["University of Science (VNU-HCMUS) Vietnam National University,AISIA Research Lab,HCM City,Vietnam","AISIA Research Lab, University of Science (VNU-HCMUS) Vietnam National University, HCM City, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Science (VNU-HCMUS) Vietnam National University,AISIA Research Lab,HCM City,Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"raw_affiliation_string":"AISIA Research Lab, University of Science (VNU-HCMUS) Vietnam National University, HCM City, Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023083273","display_name":"Minh-Son Dao","orcid":"https://orcid.org/0000-0003-3044-8175"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minh-Son Dao","raw_affiliation_strings":["National Institute of Information and Communications Technology (NICT),Big Data Integration Research Center,Tokyo,Japan","Big Data Integration Research Center, National Institute of Information and Communications Technology (NICT), Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology (NICT),Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]},{"raw_affiliation_string":"Big Data Integration Research Center, National Institute of Information and Communications Technology (NICT), Tokyo, Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613704","display_name":"Thanh-Binh Nguyen","orcid":"https://orcid.org/0000-0002-9963-5289"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I23582244","display_name":"Ho Chi Minh City University of Science","ror":"https://ror.org/05jfbgm49","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Binh Nguyen","raw_affiliation_strings":["University of Science (VNU-HCMUS) Vietnam National University,AISIA Research Lab,HCM City,Vietnam","AISIA Research Lab, University of Science (VNU-HCMUS) Vietnam National University, HCM City, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Science (VNU-HCMUS) Vietnam National University,AISIA Research Lab,HCM City,Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]},{"raw_affiliation_string":"AISIA Research Lab, University of Science (VNU-HCMUS) Vietnam National University, HCM City, Vietnam","institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035574696"],"corresponding_institution_ids":["https://openalex.org/I123565023","https://openalex.org/I23582244"],"apc_list":null,"apc_paid":null,"fwci":0.3368,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54541735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5998","last_page":"6007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.8260682821273804},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6317130327224731},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5127635598182678},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.4838317930698395},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4768189787864685},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.45269519090652466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43370670080184937},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4255073070526123},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.41936811804771423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35730117559432983},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3372691869735718},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.10870659351348877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260682821273804},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6317130327224731},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5127635598182678},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.4838317930698395},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4768189787864685},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.45269519090652466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43370670080184937},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4255073070526123},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.41936811804771423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35730117559432983},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3372691869735718},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.10870659351348877},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020288","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.46000000834465027,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2006487144","https://openalex.org/W2080731889","https://openalex.org/W2125560635","https://openalex.org/W2130942839","https://openalex.org/W2468907370","https://openalex.org/W2903871660","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2965341826","https://openalex.org/W2999905431","https://openalex.org/W3102978448","https://openalex.org/W3103720336","https://openalex.org/W3123909522","https://openalex.org/W3125675327","https://openalex.org/W4241115065","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6767549592"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3103940333"],"abstract_inverted_index":{"Traffic":[0],"forecasting":[1,23],"has":[2,24],"been":[3,25],"an":[4],"important":[5],"research":[6,19],"topic":[7],"in":[8,107],"the":[9,30,108,115],"intelligent":[10],"transportation":[11],"system":[12],"for":[13],"smooth":[14],"and":[15,43,78,90,102],"safe":[16],"transportation.":[17],"Among":[18],"directions,":[20],"spatiotemporal-graph-based":[21],"traffic":[22,97],"known":[26],"as":[27,37],"one":[28,86],"of":[29,117],"popular":[31],"directions.":[32],"Unfortunately,":[33],"many":[34],"requirements,":[35],"such":[36],"lightweight":[38],"architecture,":[39],"low":[40],"resource":[41],"consumption,":[42],"flexible":[44],"transfer":[45],"learning,":[46],"have":[47],"not":[48],"had":[49],"satisfactory":[50],"answers.":[51],"Hence,":[52],"we":[53,74],"propose":[54],"a":[55],"new":[56],"method":[57],"called":[58],"3D":[59],"Spatial":[60],"Temporal":[61],"Graph":[62],"Point-wise":[63],"Convolutional":[64],"Network":[65],"(3D-STGPCN)":[66],"to":[67],"address":[68],"these":[69],"requirements.":[70],"Differing":[71],"from":[72],"others,":[73],"proceed":[75],"with":[76,104],"spatial":[77],"temporal":[79],"information":[80],"simultaneously":[81],"(i.e.,":[82],"wrap":[83],"them":[84],"into":[85],"structure).":[87],"We":[88,122],"evaluate":[89],"compare":[91],"our":[92,118,124],"model":[93,119],"on":[94],"three":[95],"public":[96],"network":[98],"datasets,":[99],"METR-LA,":[100],"PEMS-BAY,":[101],"STREETS,":[103],"different":[105],"methods":[106],"same":[109],"domain.":[110],"The":[111],"experimental":[112],"results":[113],"show":[114],"advantage":[116],"over":[120],"others.":[121],"publish":[123],"source":[125],"code":[126],"at":[127],"https://github.com/dophanh-26/3D-STGPCN.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}