{"id":"https://openalex.org/W6925523453","doi":"https://doi.org/10.18420/inf2024_117","title":"Application of Graph Neural Networks to fraud classification problems in the insurance and financial domain","display_name":"Application of Graph Neural Networks to fraud classification problems in the insurance and financial domain","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6925523453","doi":"https://doi.org/10.18420/inf2024_117"},"language":"en","primary_location":{"id":"doi:10.18420/inf2024_117","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_117","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/inf2024_117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Becher, Jona","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Becher, Jona","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Sch\u00e4fer, Andreas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sch\u00e4fer, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32664654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10252","display_name":"Microbial Natural Products and Biosynthesis","score":0.8598999977111816,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10252","display_name":"Microbial Natural Products and Biosynthesis","score":0.8598999977111816,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12858","display_name":"Plant Disease Resistance and Genetics","score":0.009100000374019146,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13971","display_name":"Synthesis and Biological Activity","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5189999938011169},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.4763000011444092},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46239998936653137},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/default","display_name":"Default","score":0.42559999227523804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775000095367432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359000027179718},{"id":"https://openalex.org/C69637215","wikidata":"https://www.wikidata.org/wiki/Q702362","display_name":"Default","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41990000009536743},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C2776760741","wikidata":"https://www.wikidata.org/wiki/Q25325235","display_name":"Financial networks","level":4,"score":0.36000001430511475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35899999737739563},{"id":"https://openalex.org/C2778097690","wikidata":"https://www.wikidata.org/wiki/Q5413797","display_name":"Euros","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/inf2024_117","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_117","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/inf2024_117","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_117","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.7669590711593628,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intentional":[0],"loan":[1],"defaults":[2],"and":[3,27,38,54,69,84,129],"fraudulent":[4,138],"insurance":[5,28,39],"claims":[6,29],"result":[7],"in":[8,12,16,24,35,113],"billions":[9],"of":[10,21,87,137],"euros":[11],"losses":[13],"each":[14],"year":[15],"Germany.":[17],"Detecting":[18],"suspicious":[19],"networks":[20,42],"individuals":[22],"involved":[23],"credit,":[25],"loans,":[26],"is":[30,100,124],"crucial":[31],"for":[32,116,126,133],"fraud":[33],"prevention":[34],"the":[36,82],"financial":[37],"domain.":[40],"These":[41],"can":[43],"be":[44],"modeled":[45],"as":[46],"undirected":[47],"graphs":[48],"with":[49,97],"properties":[50],"assigned":[51],"to":[52,65,78,102],"nodes":[53],"edges.":[55],"In":[56],"this":[57,73],"paper,":[58],"we":[59],"apply":[60],"Graph":[61],"Neural":[62],"Networks":[63],"(GNNs)":[64],"set":[66],"up":[67],"graph-":[68],"node-level":[70,95],"classifications.":[71],"Taking":[72],"novel":[74],"approach":[75],"enables":[76],"us":[77],"share":[79],"insights":[80],"into":[81],"advantages":[83],"practical":[85],"challenges":[86],"using":[88],"GNNs.":[89],"The":[90],"classification":[91,96,104,109,131],"results":[92,132],"reveal":[93],"that":[94],"network":[98,106],"background":[99],"superior":[101],"conventional":[103],"without":[105],"background.":[107],"Graph-level":[108],"shows":[110],"promising":[111],"performance":[112],"selecting":[114],"subnetworks":[115],"further":[117],"investigation":[118],"at":[119],"node":[120],"level.":[121],"GNN":[122],"explainability":[123],"used":[125],"analyzing,":[127],"interpreting,":[128],"visualizing":[130],"a":[134],"better":[135],"understanding":[136],"networks.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
