{"id":"https://openalex.org/W4405755863","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796616","title":"Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors","display_name":"Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405755863","doi":"https://doi.org/10.1109/metroxraine62247.2024.10796616"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine62247.2024.10796616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018615713","display_name":"Giovanna Maria Dimitri","orcid":"https://orcid.org/0000-0002-2728-4272"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanna Maria Dimitri","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026502201","display_name":"Irene Cappelli","orcid":"https://orcid.org/0000-0001-8660-7708"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Irene Cappelli","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020560480","display_name":"Franco Scarselli","orcid":"https://orcid.org/0000-0003-1307-0772"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Scarselli","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011072460","display_name":"Ada Fort","orcid":"https://orcid.org/0000-0003-0916-1516"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ada Fort","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022658803","display_name":"Marco Gori","orcid":"https://orcid.org/0000-0001-6337-5430"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Gori","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy","institution_ids":["https://openalex.org/I102064193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102064193"],"apc_list":null,"apc_paid":null,"fwci":2.7505,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92524798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1242","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9663000106811523,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9663000106811523,"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/T10320","display_name":"Neural Networks and Applications","score":0.9333999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9186999797821045,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/imputation","display_name":"Imputation (statistics)","score":0.6831759810447693},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.638075590133667},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6240299940109253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108649969100952},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5670665502548218},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4868859350681305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4342096447944641},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4267200231552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4031819701194763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31624823808670044},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1776641309261322},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14850354194641113}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6831759810447693},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.638075590133667},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6240299940109253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108649969100952},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5670665502548218},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4868859350681305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4342096447944641},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4267200231552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4031819701194763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31624823808670044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1776641309261322},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14850354194641113},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine62247.2024.10796616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine62247.2024.10796616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2066636486","https://openalex.org/W2116341502","https://openalex.org/W2753552192","https://openalex.org/W2800988861","https://openalex.org/W2889079456","https://openalex.org/W2963768879","https://openalex.org/W3138616181","https://openalex.org/W3144078676","https://openalex.org/W3195489344","https://openalex.org/W4206973253","https://openalex.org/W4385835680","https://openalex.org/W4387770519","https://openalex.org/W4388405802","https://openalex.org/W4400114755","https://openalex.org/W6784776072"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516"],"abstract_inverted_index":{"Application":[0],"of":[1,9,28,53,75,94,114,120],"Artificial":[2],"Neural":[3,21],"Networks":[4,22],"methods":[5],"for":[6,25,58,111],"the":[7,26,37,51,73,97,112],"analysis":[8],"sensors":[10],"data":[11,30],"has":[12],"become":[13],"a":[14,39,65],"priority":[15],"nowadays.":[16],"In":[17],"this":[18],"paper,":[19],"Graph":[20],"are":[23,82],"exploited":[24],"imputation":[27],"missing":[29,115],"in":[31,61],"meteorological":[32],"time":[33],"series.":[34],"To":[35],"construct":[36],"graphs,":[38],"Horizontal":[40],"Visibility":[41],"Graphs":[42],"approach":[43],"is":[44,48,99],"used.":[45],"The":[46,78,105],"dataset":[47],"populated":[49],"with":[50],"acquisitions":[52],"five":[54,103],"sensor":[55],"nodes,":[56,124],"deployed":[57],"several":[59,118],"months":[60,119],"distinct":[62],"vineyards":[63],"covering":[64],"500":[66],"m":[67,70],"\u00d7":[68],"300":[69],"area":[71],"near":[72],"city":[74],"Siena,":[76],"Italy.":[77],"monitored":[79],"physical":[80],"quantities":[81],"air":[83],"temperature":[84],"and":[85,92,122,131],"relative":[86],"humidity,":[87],"leaf":[88],"wetness,":[89],"solar":[90],"radiation":[91],"amount":[93],"rain":[95],"precipitation;":[96],"sampling":[98],"performed":[100],"approximately":[101],"every":[102],"minutes.":[104],"obtained":[106],"results":[107],"showed":[108],"good":[109],"performance":[110],"prediction":[113],"values":[116],"considering":[117],"tests":[121],"different":[123],"obtaining":[125],"low":[126],"Root":[127],"Mean":[128,132],"Squared":[129],"Error":[130],"Absolute":[133],"Error.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
