{"id":"https://openalex.org/W3136518157","doi":"https://doi.org/10.1109/bigdata50022.2020.9378156","title":"MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction","display_name":"MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136518157","doi":"https://doi.org/10.1109/bigdata50022.2020.9378156","mag":"3136518157"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5007294231","display_name":"Peijiang Zhao","orcid":null},"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":true,"raw_author_name":"Peijiang Zhao","raw_affiliation_strings":["National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048072689","display_name":"Koji Zettsu","orcid":"https://orcid.org/0000-0003-4062-2376"},"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":"Koji Zettsu","raw_affiliation_strings":["National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Big Data Integration Research Center,Tokyo,Japan","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007294231"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.7783,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69708492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1442","last_page":"1448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6115210652351379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978534817695618},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.5825037956237793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.467829167842865},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4431946575641632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32234513759613037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2360239028930664}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6115210652351379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978534817695618},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.5825037956237793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.467829167842865},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4431946575641632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32234513759613037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2360239028930664},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1820611702","https://openalex.org/W1924770834","https://openalex.org/W1979890053","https://openalex.org/W2003938839","https://openalex.org/W2021622595","https://openalex.org/W2064675550","https://openalex.org/W2069977802","https://openalex.org/W2291961022","https://openalex.org/W2297827415","https://openalex.org/W2519091744","https://openalex.org/W2528639018","https://openalex.org/W2809035759","https://openalex.org/W2949011732","https://openalex.org/W2955058313","https://openalex.org/W2963076818","https://openalex.org/W2963132934","https://openalex.org/W3007989820","https://openalex.org/W3103720336","https://openalex.org/W4297733535","https://openalex.org/W6640212811","https://openalex.org/W6728547873","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,14,17,31,39,46,54,79,95,104,108,112,131,154,159],"importance":[4],"of":[5,41,65,111,133],"air":[6,85],"pollution":[7,20,86],"issues":[8],"has":[9,22],"been":[10],"increasingly":[11],"discussed":[12],"by":[13],"public":[15],"and":[16,99,115,127,144],"government.":[18],"Air":[19],"prediction":[21,87,164],"become":[23],"a":[24,58],"crucial":[25],"reference":[26],"to":[27,34,77,103,129],"rely":[28],"on":[29,121,163],"when":[30],"government":[32],"needs":[33],"formulate":[35],"environmental":[36],"policies.":[37],"Considering":[38],"sparsity":[40],"atmospheric":[42,55,82,105],"monitoring":[43],"stations":[44],"in":[45,49,125],"spatial":[47],"distribution,":[48],"this":[50],"study,":[51],"we":[52,69],"consider":[53],"data":[56,83,106],"as":[57],"spatio-temporal":[59,66,73],"structure":[60,81],"graph":[61,74,80],"for":[62,84],"better":[63,93],"utilization":[64],"information.":[67],"Accordingly,":[68],"propose":[70],"using":[71],"multi-attention":[72,109],"networks":[75],"(MASTGN)":[76],"exploit":[78],"tasks.":[88],"The":[89,150],"MASTGN":[90,156],"model":[91,157],"allows":[92],"mining":[94],"high-level":[96],"spatial,":[97,113],"temporal,":[98,114],"physical":[100],"features":[101],"corresponding":[102],"through":[107],"mechanism":[110],"channel":[116],"attention.":[117],"We":[118],"conduct":[119],"experiments":[120],"two":[122],"datasets":[123],"gathered":[124],"Japan":[126],"China":[128],"predict":[130],"concentration":[132],"PM":[134,145],"<sub":[135,140,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[136,141,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2.5</sub>":[137],",":[138,143],"O":[139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sub>":[142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">10</sub>":[148],".":[149],"results":[151],"indicate":[152],"that":[153],"proposed":[155],"outperforms":[158],"considered":[160],"baseline":[161],"approaches":[162],"accuracy.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}