{"id":"https://openalex.org/W3217667424","doi":"https://doi.org/10.1109/rtsi50628.2021.9597357","title":"Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax","display_name":"Fraud Prevention and Detection on Heterogeneous Information Networks with Deep Graph Infomax","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3217667424","doi":"https://doi.org/10.1109/rtsi50628.2021.9597357","mag":"3217667424"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi50628.2021.9597357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi50628.2021.9597357","pdf_url":null,"source":{"id":"https://openalex.org/S4306498810","display_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","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/A5072432546","display_name":"Nicolas Racchi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicolas Racchi","raw_affiliation_strings":["Informatica e Bioingegneria Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatica e Bioingegneria Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000548939","display_name":"Alberto Parravicini","orcid":"https://orcid.org/0000-0001-8806-1665"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Parravicini","raw_affiliation_strings":["Informatica e Bioingegneria Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatica e Bioingegneria Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063408697","display_name":"Guido Walter Di Donato","orcid":"https://orcid.org/0000-0003-2026-9755"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Walter Di Donato","raw_affiliation_strings":["Informatica e Bioingegneria Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatica e Bioingegneria Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010543929","display_name":"Marco D. Santambrogio","orcid":"https://orcid.org/0000-0002-9883-9693"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco D. Santambrogio","raw_affiliation_strings":["Informatica e Bioingegneria Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatica e Bioingegneria Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"176","issue":null,"first_page":"153","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997000098228455,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9821000099182129,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9790999889373779,"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/computer-science","display_name":"Computer science","score":0.7194192409515381},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.6455053687095642},{"id":"https://openalex.org/keywords/activity-based-costing","display_name":"Activity-based costing","score":0.6266131401062012},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5016849040985107},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.47760531306266785},{"id":"https://openalex.org/keywords/cost-reduction","display_name":"Cost reduction","score":0.4463469386100769},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.41073158383369446},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2113935947418213},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15593934059143066},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14197230339050293},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.09496870636940002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194192409515381},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.6455053687095642},{"id":"https://openalex.org/C164624739","wikidata":"https://www.wikidata.org/wiki/Q754331","display_name":"Activity-based costing","level":2,"score":0.6266131401062012},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5016849040985107},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.47760531306266785},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.4463469386100769},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.41073158383369446},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2113935947418213},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15593934059143066},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14197230339050293},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.09496870636940002},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtsi50628.2021.9597357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi50628.2021.9597357","pdf_url":null,"source":{"id":"https://openalex.org/S4306498810","display_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1204553","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1204553","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2019858993","https://openalex.org/W2024223694","https://openalex.org/W2028637253","https://openalex.org/W2097328125","https://openalex.org/W2104933073","https://openalex.org/W2119191234","https://openalex.org/W2148143831","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2624431344","https://openalex.org/W2743104969","https://openalex.org/W2772947247","https://openalex.org/W2887997457","https://openalex.org/W2911286998","https://openalex.org/W2916106175","https://openalex.org/W2951873722","https://openalex.org/W2958026736","https://openalex.org/W2964124573","https://openalex.org/W3004507689","https://openalex.org/W3009901425","https://openalex.org/W3011124515","https://openalex.org/W3016757214","https://openalex.org/W3023751586","https://openalex.org/W3093333044","https://openalex.org/W3094656352","https://openalex.org/W3099064659","https://openalex.org/W3103513278","https://openalex.org/W3104097132","https://openalex.org/W4287640899","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6675634716","https://openalex.org/W6760001035","https://openalex.org/W6777315006"],"related_works":["https://openalex.org/W2344296381","https://openalex.org/W1534036872","https://openalex.org/W2356393804","https://openalex.org/W2181972346","https://openalex.org/W2899492207","https://openalex.org/W2365609124","https://openalex.org/W2390909523","https://openalex.org/W1483727642","https://openalex.org/W2002451346","https://openalex.org/W1512283978"],"abstract_inverted_index":{"Fraud":[0,20],"is":[1],"ubiquitous":[2],"in":[3,12,14,17,117,137],"both":[4],"institutions":[5],"and":[6,33,52,111,132],"private":[7],"companies,":[8],"costing":[9],"$1.9":[10],"billion":[11],"losses":[13,28],"the":[15,63,94],"US,":[16],"2019":[18],"alone.":[19],"detection":[21,82],"introduces":[22],"a":[23,44,66,76,108,133],"way":[24],"to":[25,50],"mitigate":[26],"these":[27],"while":[29,122],"ensuring":[30],"better":[31],"security":[32],"enabling":[34],"trust":[35],"between":[36],"all":[37],"parties.":[38],"However,":[39],"it":[40,106],"frequently":[41],"comes":[42],"at":[43,92],"great":[45],"cost":[46,58,95],"of":[47,65,96,115,135],"resources":[48,97],"needed":[49],"locate":[51],"oppose":[53],"fraudulent":[54],"cases":[55],"manually.":[56],"This":[57],"also":[59],"grows":[60],"exponentially":[61],"with":[62],"size":[64],"company's":[67],"financial":[68],"transaction":[69],"network.":[70],"In":[71],"this":[72],"work,":[73],"we":[74],"propose":[75],"novel":[77],"framework":[78,103],"for":[79],"automatic":[80],"fraud":[81],"that":[83,90],"relies":[84],"on":[85,140],"institutions'":[86],"readily":[87],"available":[88],"data,":[89],"aims":[91],"reducing":[93],"outlined":[98],"above.":[99],"We":[100],"evaluate":[101],"our":[102],"by":[104],"comparing":[105],"against":[107],"baseline":[109],"result":[110],"show":[112],"an":[113],"increase":[114],"37%":[116],"performance":[118],"expressed":[119],"as":[120,128],"F1-score":[121],"providing":[123],"highly":[124],"desirable":[125],"characteristics":[126],"such":[127],"online":[129],"learning":[130],"capability":[131],"reduction":[134],"82%":[136],"training":[138],"time":[139],"commodity":[141],"hardware.":[142]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2021-12-06T00:00:00"}