{"id":"https://openalex.org/W7154680668","doi":"https://doi.org/10.1016/j.adhoc.2026.104263","title":"ARPIA: A multi-scale heterogeneous graph neural network for mobile device geolocation with explicit non-connection modeling","display_name":"ARPIA: A multi-scale heterogeneous graph neural network for mobile device geolocation with explicit non-connection modeling","publication_year":2026,"publication_date":"2026-04-17","ids":{"openalex":"https://openalex.org/W7154680668","doi":"https://doi.org/10.1016/j.adhoc.2026.104263"},"language":"en","primary_location":{"id":"doi:10.1016/j.adhoc.2026.104263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.adhoc.2026.104263","pdf_url":null,"source":{"id":"https://openalex.org/S4210177528","display_name":"Ad Hoc Networks","issn_l":"1570-8705","issn":["1570-8705","1570-8713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ad Hoc Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.adhoc.2026.104263","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046389682","display_name":"L.F.C. Seelig","orcid":null},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L.F.C. Seelig","raw_affiliation_strings":["Postgraduate Program in Defense Engineering (PGED), Military Institute of Engineering (IME), Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate Program in Defense Engineering (PGED), Military Institute of Engineering (IME), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010869903","display_name":"Ronaldo Moreira Salles","orcid":"https://orcid.org/0000-0002-3916-5086"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]},{"id":"https://openalex.org/I83863532","display_name":"Polytechnic Institute of Porto","ror":"https://ror.org/04988re48","country_code":"PT","type":"education","lineage":["https://openalex.org/I83863532"]}],"countries":["BR","PT"],"is_corresponding":true,"raw_author_name":"R.M. Salles","raw_affiliation_strings":["Center for Innovation and Research in Business Sciences and Information Systems CIICESI, ESTG, Polytechnic of Porto, Portugal","Postgraduate Program in Defense Engineering (PGED), Military Institute of Engineering (IME), Rio de Janeiro, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3916-5086","affiliations":[{"raw_affiliation_string":"Center for Innovation and Research in Business Sciences and Information Systems CIICESI, ESTG, Polytechnic of Porto, Portugal","institution_ids":["https://openalex.org/I83863532"]},{"raw_affiliation_string":"Postgraduate Program in Defense Engineering (PGED), Military Institute of Engineering (IME), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010869903"],"corresponding_institution_ids":["https://openalex.org/I41870","https://openalex.org/I83863532"],"apc_list":{"value":2610,"currency":"USD","value_usd":2610},"apc_paid":{"value":2610,"currency":"USD","value_usd":2610},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86448953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"189","issue":null,"first_page":"104263","last_page":"104263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.164000004529953,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.164000004529953,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.13109999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.040800001472234726,"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/geolocation","display_name":"Geolocation","score":0.6413000226020813},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.592199981212616},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5271999835968018},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42559999227523804},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.310699999332428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70169997215271},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.6413000226020813},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.592199981212616},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5271999835968018},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.2558000087738037},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.adhoc.2026.104263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.adhoc.2026.104263","pdf_url":null,"source":{"id":"https://openalex.org/S4210177528","display_name":"Ad Hoc Networks","issn_l":"1570-8705","issn":["1570-8705","1570-8713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ad Hoc Networks","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.adhoc.2026.104263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.adhoc.2026.104263","pdf_url":null,"source":{"id":"https://openalex.org/S4210177528","display_name":"Ad Hoc Networks","issn_l":"1570-8705","issn":["1570-8705","1570-8713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ad Hoc Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2006805041","https://openalex.org/W2012462772","https://openalex.org/W2110026675","https://openalex.org/W2296073425","https://openalex.org/W2558748708","https://openalex.org/W2907492528","https://openalex.org/W2963406064","https://openalex.org/W2964029185","https://openalex.org/W4395056497","https://openalex.org/W4405531876","https://openalex.org/W4410989911","https://openalex.org/W6941045307"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"ARPIA":[3,65,124],"(Advanced":[4],"Radio":[5],"Positioning":[6],"Intelligence":[7],"Architecture),":[8],"a":[9,29,36,67,81],"multi-scale":[10],"heterogeneous":[11],"graph":[12],"neural":[13],"network":[14,156],"for":[15,154],"mobile":[16],"device":[17],"localization":[18],"that":[19,105],"explicitly":[20],"models":[21],"non-connections":[22],"between":[23],"devices":[24,40],"and":[25,132],"base":[26],"stations":[27],"through":[28],"physics-informed":[30,107],"force":[31],"system.":[32],"Experimental":[33],"validation":[34],"using":[35],"dataset":[37],"of":[38,71,84,150],"38,356":[39],"(47,619":[41],"total":[42],"nodes)":[43],"from":[44],"the":[45,54,90,94,138,148],"Campinas":[46],"metropolitan":[47],"region":[48],"demonstrates":[49],"robust":[50],"generalization":[51],"capability.":[52],"On":[53],"independent":[55],"test":[56],"set":[57],"(":[58],"N":[59],"=":[60],"5":[61],",":[62,119],"754":[63],"),":[64],"achieves":[66,133],"mean":[68],"absolute":[69],"error":[70,83],"34.6":[72],"m":[73,86],"(92.9%":[74],"accuracy":[75],"within":[76],"100":[77],"m),":[78],"while":[79],"maintaining":[80],"fitting":[82],"7.55":[85],"(100%":[87],"accuracy)":[88],"on":[89],"training":[91],"distribution,":[92],"confirming":[93,120],"architecture\u2019s":[95],"capacity":[96,115],"to":[97],"capture":[98],"complex":[99],"geometric":[100],"dependencies.":[101],"Ablation":[102],"studies":[103],"reveal":[104],"removing":[106],"constraints":[108],"or":[109],"local":[110],"precision":[111],"modules":[112],"degrades":[113],"learning":[114,142],"by":[116],"9-12":[117],"\u00d7":[118,135],"their":[121],"critical":[122],"importance.":[123],"significantly":[125],"outperforms":[126],"classical":[127],"methods":[128],"(RSSI,":[129],"TOA,":[130],"TDOA)":[131],"1.67":[134],"improvement":[136],"over":[137],"best":[139],"alternative":[140],"deep":[141],"configuration":[143],"(GATv2,":[144],"HAN,":[145],"RGCN),":[146],"demonstrating":[147],"effectiveness":[149],"explicit":[151],"non-connection":[152],"modeling":[153],"wireless":[155],"localization.":[157]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2026-04-18T00:00:00"}
