{"id":"https://openalex.org/W4284886547","doi":"https://doi.org/10.3390/ijgi11070381","title":"STSGAN: Spatial-Temporal Global Semantic Graph Attention Convolution Networks for Urban Flow Prediction","display_name":"STSGAN: Spatial-Temporal Global Semantic Graph Attention Convolution Networks for Urban Flow Prediction","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4284886547","doi":"https://doi.org/10.3390/ijgi11070381"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi11070381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11070381","pdf_url":"https://www.mdpi.com/2220-9964/11/7/381/pdf?version=1657254412","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/11/7/381/pdf?version=1657254412","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056068917","display_name":"Junwei Zhou","orcid":"https://orcid.org/0000-0002-6094-1203"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Zhou","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875516","display_name":"Xizhong Qin","orcid":"https://orcid.org/0000-0003-4457-6629"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xizhong Qin","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571269","display_name":"Kun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yu","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112110649","display_name":"Zhenhong Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhong Jia","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064891488","display_name":"Yan Du","orcid":"https://orcid.org/0000-0002-5974-8676"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Du","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi 830000, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101875516"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3239,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54589616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":"7","first_page":"381","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10370","display_name":"Traffic and Road Safety","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.7353761196136475},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6594019532203674},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47733384370803833},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4676608145236969},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4615492820739746},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45216453075408936},{"id":"https://openalex.org/keywords/spatial-network","display_name":"Spatial network","score":0.4505671262741089},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4296782612800598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4206307530403137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4096619486808777},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28334182500839233},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20415142178535461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10616889595985413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353761196136475},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6594019532203674},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47733384370803833},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4676608145236969},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4615492820739746},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45216453075408936},{"id":"https://openalex.org/C53471067","wikidata":"https://www.wikidata.org/wiki/Q7574076","display_name":"Spatial network","level":2,"score":0.4505671262741089},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4296782612800598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4206307530403137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4096619486808777},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28334182500839233},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20415142178535461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10616889595985413},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi11070381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11070381","pdf_url":"https://www.mdpi.com/2220-9964/11/7/381/pdf?version=1657254412","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:03f0cd74f891440e8a07e325e378e8c2","is_oa":true,"landing_page_url":"https://doaj.org/article/03f0cd74f891440e8a07e325e378e8c2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 11, Iss 7, p 381 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/11/7/381/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi11070381","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 11; Issue 7; Pages: 381","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi11070381","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi11070381","pdf_url":"https://www.mdpi.com/2220-9964/11/7/381/pdf?version=1657254412","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G4775454348","display_name":null,"funder_award_id":"2019D01C058","funder_id":"https://openalex.org/F4320311028","funder_display_name":"Natural Science Foundation of Xinjiang Province"}],"funders":[{"id":"https://openalex.org/F4320311028","display_name":"Natural Science Foundation of Xinjiang Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4284886547.pdf","grobid_xml":"https://content.openalex.org/works/W4284886547.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W43001522","https://openalex.org/W116902681","https://openalex.org/W1815076433","https://openalex.org/W1903029394","https://openalex.org/W1973943669","https://openalex.org/W2107092366","https://openalex.org/W2107878631","https://openalex.org/W2108196201","https://openalex.org/W2194775991","https://openalex.org/W2345702419","https://openalex.org/W2510642588","https://openalex.org/W2528639018","https://openalex.org/W2573587735","https://openalex.org/W2579495707","https://openalex.org/W2756203131","https://openalex.org/W2898987694","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904813135","https://openalex.org/W2907492528","https://openalex.org/W2945622688","https://openalex.org/W2963076818","https://openalex.org/W2964051675","https://openalex.org/W2965341826","https://openalex.org/W2991653934","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W2998559444","https://openalex.org/W3001314220","https://openalex.org/W3020398622","https://openalex.org/W3027664001","https://openalex.org/W3035580605","https://openalex.org/W3094009742","https://openalex.org/W3103720336","https://openalex.org/W3115700835","https://openalex.org/W3152893301","https://openalex.org/W3164346365","https://openalex.org/W3184564372","https://openalex.org/W3207461654","https://openalex.org/W4229365340","https://openalex.org/W4293136753","https://openalex.org/W6631190155","https://openalex.org/W6679436768","https://openalex.org/W6704810019","https://openalex.org/W6736685754","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Accurate":[0],"urban":[1],"traffic":[2,22,163],"flow":[3,23,164],"prediction":[4,30],"plays":[5],"a":[6,25,76,88,102],"vital":[7],"role":[8],"in":[9,41],"Intelligent":[10],"Transportation":[11],"System":[12],"(ITS).":[13],"The":[14,129],"complex":[15],"long-term":[16],"and":[17,115,123,152,166],"long-range":[18,67],"spatiotemporal":[19,78,97,154],"correlations":[20,40],"of":[21,96,111,120,150],"pose":[24],"significant":[26],"challenge":[27],"to":[28,52,65,91,107,137],"the":[29,93,109,117,124,139,167],"task.":[31],"Most":[32],"current":[33],"research":[34],"methods":[35],"focus":[36],"only":[37],"on":[38,160],"spatial":[39,54,68,113,118,126],"local":[42,121,151],"areas,":[43],"ignoring":[44],"global":[45,79,125],"geographic":[46],"contextual":[47],"information.":[48,128],"It":[49],"is":[50,87,135],"challenging":[51],"capture":[53,138],"information":[55],"from":[56],"distant":[57],"nodes":[58],"using":[59],"shallow":[60],"graph":[61],"neural":[62],"networks":[63],"(GNNs)":[64],"model":[66,84],"correlations.":[69,98,155],"To":[70],"handle":[71],"this":[72],"problem,":[73],"we":[74,100],"design":[75],"novel":[77],"semantic":[80,127],"graph-attentive":[81,103],"convolutional":[82,104],"network":[83,90,105],"(STSGAN),":[85],"which":[86],"deep-level":[89],"achieve":[92],"simultaneous":[94],"modelling":[95],"First,":[99],"propose":[101],"(GACN)":[106],"extract":[108],"importance":[110],"different":[112],"features":[114],"learn":[116],"correlation":[119],"regions":[122],"temporal":[130],"causal":[131,140],"convolution":[132],"structure":[133],"(TCN)":[134],"utilized":[136],"relationships":[141],"between":[142],"long-short":[143],"times,":[144],"thus":[145],"enabling":[146],"an":[147],"integrated":[148],"consideration":[149],"overall":[153],"Several":[156],"experiments":[157],"are":[158],"conducted":[159],"two":[161],"real-world":[162],"datasets,":[165],"results":[168],"show":[169],"that":[170],"our":[171],"approach":[172],"outperforms":[173],"several":[174],"state-of-the-art":[175],"baselines.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
