{"id":"https://openalex.org/W4396817427","doi":"https://doi.org/10.1109/tkde.2024.3397840","title":"Global-Local Feature Learning via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction","display_name":"Global-Local Feature Learning via Dynamic Spatial-Temporal Graph Neural Network in Meteorological Prediction","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4396817427","doi":"https://doi.org/10.1109/tkde.2024.3397840"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3397840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3397840","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5008626105","display_name":"Yibi Chen","orcid":"https://orcid.org/0000-0003-1425-5306"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibi Chen","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006146465","display_name":"Chai Kiat Yeo","orcid":"https://orcid.org/0000-0002-7618-1472"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Kiat Yeo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","Department of Computer Science, State University of New York, New Paltz, NY, USA"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008626105"],"corresponding_institution_ids":["https://openalex.org/I16609230","https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":4.1811,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94206549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"11","first_page":"6280","last_page":"6292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9697999954223633,"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":0.9697999954223633,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.928600013256073,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.906499981880188,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7490721344947815},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.565285861492157},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4630923569202423},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.4614793658256531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45039716362953186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4172717332839966},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22624242305755615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09655341506004333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490721344947815},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.565285861492157},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4630923569202423},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.4614793658256531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45039716362953186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4172717332839966},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22624242305755615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09655341506004333},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3397840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3397840","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G6120332863","display_name":null,"funder_award_id":"U21A20461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G766636159","display_name":null,"funder_award_id":"62202149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1982479097","https://openalex.org/W2002521620","https://openalex.org/W2528639018","https://openalex.org/W2565330852","https://openalex.org/W2756203131","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2911349806","https://openalex.org/W2943852858","https://openalex.org/W2996847713","https://openalex.org/W2996936831","https://openalex.org/W2997848713","https://openalex.org/W3003709258","https://openalex.org/W3037233197","https://openalex.org/W3080366021","https://openalex.org/W3103720336","https://openalex.org/W3132992987","https://openalex.org/W3155683369","https://openalex.org/W3170140111","https://openalex.org/W3217152393","https://openalex.org/W4210684162","https://openalex.org/W4211232841","https://openalex.org/W4226115637","https://openalex.org/W4285272621","https://openalex.org/W4297095047","https://openalex.org/W4306317079","https://openalex.org/W4320034646","https://openalex.org/W4324290989","https://openalex.org/W4324369021","https://openalex.org/W6726873649","https://openalex.org/W6746015598","https://openalex.org/W6771932116","https://openalex.org/W6780221082"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2747930654","https://openalex.org/W2739658809","https://openalex.org/W2419362237"],"abstract_inverted_index":{"The":[0],"meteorological":[1,80,99,244,252],"environment":[2],"has":[3],"a":[4,89,122,199,211,238],"profound":[5],"impact":[6],"on":[7,161,248],"global":[8,105,118,233],"health":[9],"(e.g.,":[10,16,22],"air":[11],"quality),":[12],"science":[13],"and":[14,19,34,45,55,73,140,179,189,216,226,234],"technology":[15],"rocket":[17],"launches),":[18],"economic":[20],"development":[21],"poverty":[23],"reduction)":[24],"etc.":[25],"Meteorological":[26],"prediction":[27],"presents":[28],"numerous":[29],"challenges":[30],"to":[31,37,59,75,96,111,136,142,152,165,184,201,222],"both":[32],"academia":[33],"industry":[35],"due":[36],"its":[38],"multifaceted":[39],"nature":[40],"which":[41],"encompasses":[42],"real-time":[43],"observations":[44],"complex":[46],"modeling.":[47],"Recent":[48],"research":[49],"adopt":[50],"graph":[51,132,173,203],"convolutional":[52],"recurrent":[53,213],"network":[54,134,178],"establish":[56,148],"coordinate":[57,182,190,220,227],"information":[58,72,107,159,183,221],"obtain":[60,112,185],"local":[61,70,113,194,235],"spatial-temporal":[62,71,106,114],"pattern.":[63],"However,":[64],"the":[65,69,78,84,104,109,117,127,138,143,154,162,181,186,193,219,224,232,249,258],"model":[66],"only":[67],"utilizes":[68],"fail":[74],"fully":[76],"consider":[77],"dynamic":[79,144],"situation.":[81,145],"To":[82],"address":[83],"above":[85],"limitations,":[86],"we":[87,102,120,157,171,196,206,230],"propose":[88],"Dynamic":[90],"Spatial-Temporal":[91],"Graph":[92],"Neural":[93],"Network":[94],"(DSTGNN)":[95],"learn":[97,153],"global-local":[98,239],"features.":[100,155,168],"Specifically,":[101],"divide":[103],"along":[108],"timeline":[110],"information.":[115],"For":[116],"aspect,":[119,195],"design":[121],"random":[123],"throwedge":[124],"module":[125,151],"during":[126],"neighborhood":[128],"propagation":[129],"process":[130],"in":[131],"neural":[133],"(GNN)":[135],"extract":[137],"features":[139,188,225,236,240],"adapt":[141],"We":[146],"also":[147,217],"convolution":[149],"operation":[150],"Next,":[156],"perform":[158],"fusion":[160],"two":[163],"modules":[164],"capture":[166],"sufficient":[167],"In":[169,192],"addition,":[170],"employ":[172],"ordinary":[174],"differential":[175],"equation":[176],"(ODE)":[177],"utilize":[180],"long-term":[187],"relationships.":[191,228],"first":[197],"construct":[198],"GNN":[200,209],"conduct":[202],"embedding.":[204],"Then,":[205],"integrate":[207],"another":[208],"into":[210],"gated":[212],"unit":[214],"(GRU)":[215],"use":[218],"explore":[223],"Finally,":[229],"combine":[231],"via":[237],"learning":[241],"layer":[242],"for":[243],"prediction.":[245],"Experimental":[246],"results":[247],"four":[250],"real-world":[251],"datasets":[253],"show":[254],"that":[255],"DSTGNN":[256],"outperforms":[257],"baseline":[259],"models.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}