{"id":"https://openalex.org/W4308236033","doi":"https://doi.org/10.1109/icip46576.2022.9897468","title":"Earthquake Location and Magnitude Estimation with Graph Neural Networks","display_name":"Earthquake Location and Magnitude Estimation with Graph Neural Networks","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236033","doi":"https://doi.org/10.1109/icip46576.2022.9897468"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897468","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5032863098","display_name":"Ian W. McBrearty","orcid":"https://orcid.org/0000-0001-6157-7864"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian W. McBrearty","raw_affiliation_strings":["Stanford University,Department of Geophysics","Department of Geophysics, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Geophysics","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Geophysics, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084849254","display_name":"Gregory C. Beroza","orcid":"https://orcid.org/0000-0002-8667-1838"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory C. Beroza","raw_affiliation_strings":["Stanford University,Department of Geophysics","Department of Geophysics, Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Geophysics","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Geophysics, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":3.8659,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94892671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3858","last_page":"3862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9998000264167786,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9998000264167786,"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/T10110","display_name":"earthquake and tectonic studies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6873252987861633},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5784551501274109},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5713030099868774},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5149875283241272},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5137773156166077},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4712919294834137},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.463421493768692},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.43673771619796753},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.4355371594429016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40886762738227844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723396062850952},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3560013771057129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3232092261314392},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2849845290184021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6873252987861633},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5784551501274109},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5713030099868774},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5149875283241272},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5137773156166077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4712919294834137},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.463421493768692},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.43673771619796753},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.4355371594429016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40886762738227844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723396062850952},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3560013771057129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3232092261314392},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2849845290184021},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897468","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337480","display_name":"Basic Energy Sciences","ror":"https://ror.org/05mg91w61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1818743968","https://openalex.org/W1999244633","https://openalex.org/W2015450319","https://openalex.org/W2069624343","https://openalex.org/W2140849331","https://openalex.org/W2152195021","https://openalex.org/W2169960235","https://openalex.org/W2796431263","https://openalex.org/W2805516822","https://openalex.org/W2895792207","https://openalex.org/W2923222994","https://openalex.org/W2992786058","https://openalex.org/W3021034800","https://openalex.org/W3082436677","https://openalex.org/W3120604493","https://openalex.org/W3152893301","https://openalex.org/W4288419263","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6638415647","https://openalex.org/W6738964360","https://openalex.org/W6751796012","https://openalex.org/W6760045743"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2982430984","https://openalex.org/W2078477160","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W1989103179","https://openalex.org/W2117632582"],"abstract_inverted_index":{"We":[0,46,118],"solve":[1],"the":[2,48,67,74,88,92],"traditional":[3,123],"problems":[4],"of":[5,42,82,91],"earthquake":[6],"location":[7],"and":[8,31,44,56,70,87,115,125],"magnitude":[9],"estimation":[10],"through":[11],"a":[12,19,35],"supervised":[13],"learning":[14],"approach,":[15],"where":[16],"we":[17,100],"train":[18,47],"Graph":[20],"Neural":[21],"Network":[22],"to":[23,65,72],"predict":[24],"estimates":[25],"directly":[26],"from":[27,53],"input":[28,33,78],"pick":[29],"data,":[30,83],"each":[32],"allows":[34],"distinct":[36],"seismic":[37],"network":[38],"with":[39,122],"variable":[40],"number":[41],"stations":[43],"positions.":[45],"model":[49,75,85],"using":[50],"synthetic":[51],"simulations":[52],"assumed":[54],"travel-time":[55],"amplitude-distance":[57],"attenuation":[58],"models.":[59],"The":[60,77],"architecture":[61],"uses":[62],"one":[63],"graph":[64,102],"represent":[66,73],"station":[68],"set,":[69],"another":[71],"space.":[76],"includes":[79],"theoretical":[80],"predictions":[81],"given":[84],"parameters,":[86],"adjacency":[89],"matrices":[90],"graphs":[93],"defined":[94],"link":[95],"spatially":[96],"local":[97],"elements.":[98],"As":[99],"show,":[101],"convolutions":[103],"on":[104],"this":[105],"combined":[106],"representation":[107],"are":[108],"highly":[109],"effective":[110],"at":[111],"inference,":[112],"data":[113],"fusion,":[114],"outlier":[116],"suppression.":[117],"compare":[119],"our":[120],"results":[121],"methods":[124],"observe":[126],"favorable":[127],"performance.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
