{"id":"https://openalex.org/W4399487385","doi":"https://doi.org/10.1109/i2ct61223.2024.10543898","title":"Ensemble of Graph Neural Networks for Enhanced Financial Fraud Detection","display_name":"Ensemble of Graph Neural Networks for Enhanced Financial Fraud Detection","publication_year":2024,"publication_date":"2024-04-05","ids":{"openalex":"https://openalex.org/W4399487385","doi":"https://doi.org/10.1109/i2ct61223.2024.10543898"},"language":"en","primary_location":{"id":"doi:10.1109/i2ct61223.2024.10543898","doi":"https://doi.org/10.1109/i2ct61223.2024.10543898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2ct61223.2024.10543898","pdf_url":null,"source":{"id":"https://openalex.org/S4363607804","display_name":"IEEE International Conference for Convergence in Technology (I2CT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 IEEE 9th International Conference for Convergence in Technology (I2CT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5011521020","display_name":"Abhishek C Hiremath","orcid":"https://orcid.org/0009-0008-7633-1195","observed_orcids":["https://orcid.org/0009-0008-7633-1195"]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek C Hiremath","raw_affiliation_strings":["PES University,Department of CSE,Bangalore,India","Department of CSE, PES University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University,Department of CSE,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]},{"raw_affiliation_string":"Department of CSE, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008810162","display_name":"Arti Arya","orcid":"https://orcid.org/0000-0002-4470-0311","observed_orcids":["https://orcid.org/0000-0002-4470-0311"]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arti Arya","raw_affiliation_strings":["PES University,Department of CSE,Bangalore,India","Department of CSE, PES University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University,Department of CSE,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]},{"raw_affiliation_string":"Department of CSE, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099073837","display_name":"Ln Sriranga","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ln Sriranga","raw_affiliation_strings":["PES University,Department of CSE,Bangalore,India","Department of CSE, PES University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University,Department of CSE,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]},{"raw_affiliation_string":"Department of CSE, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101375791","display_name":"Konda Venkata Sai Rohith Reddy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Konda Venkata Sai Rohith Reddy","raw_affiliation_strings":["PES University,Department of CSE,Bangalore,India","Department of CSE, PES University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University,Department of CSE,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]},{"raw_affiliation_string":"Department of CSE, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113245697","display_name":"Mellemputi Nikhil","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mellemputi Nikhil","raw_affiliation_strings":["PES University,Department of CSE,Bangalore,India","Department of CSE, PES University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PES University,Department of CSE,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]},{"raw_affiliation_string":"Department of CSE, PES University, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196608512"],"apc_list":null,"apc_paid":null,"fwci":1.8323,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88471431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9843999743461609,"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":0.9843999743461609,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.004000000189989805,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.003599999938160181,"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/financial-fraud-detection","display_name":"financial fraud detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.9549999833106995},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.6620000004768372},{"id":"https://openalex.org/keywords/stacking-ensemble","display_name":"stacking ensemble","score":0.9010000228881836},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8629999756813049},{"id":"https://openalex.org/keywords/explainable-machine-learning","display_name":"explainable machine learning","score":0.5659999847412109},{"id":"https://openalex.org/keywords/financial-transactions","display_name":"financial transactions","score":0.4699999988079071}],"concepts":[{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.7518702745437622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5938588380813599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.529696524143219},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42724084854125977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4078681170940399},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3282032310962677},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20840883255004883},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13242390751838684},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.1056516170501709}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2ct61223.2024.10543898","doi":"https://doi.org/10.1109/i2ct61223.2024.10543898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2ct61223.2024.10543898","pdf_url":null,"source":{"id":"https://openalex.org/S4363607804","display_name":"IEEE International Conference for Convergence in Technology (I2CT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 IEEE 9th International Conference for Convergence in Technology (I2CT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2897862648","https://openalex.org/W2904890881","https://openalex.org/W2911286998","https://openalex.org/W2945996535","https://openalex.org/W2963415211","https://openalex.org/W2970127247","https://openalex.org/W3009901425","https://openalex.org/W3119278079","https://openalex.org/W3122007073","https://openalex.org/W3133537878","https://openalex.org/W3166592993","https://openalex.org/W3170268576","https://openalex.org/W3175542430","https://openalex.org/W3176921087","https://openalex.org/W4206218111","https://openalex.org/W4210242534","https://openalex.org/W4225993917","https://openalex.org/W4306317696","https://openalex.org/W4310736693","https://openalex.org/W4312331995","https://openalex.org/W4321511640"],"related_works":["https://openalex.org/W4414605735","https://openalex.org/W7171906824","https://openalex.org/W4408470303","https://openalex.org/W4406416888","https://openalex.org/W4415884143","https://openalex.org/W4417404974","https://openalex.org/W7161987791","https://openalex.org/W7171642077","https://openalex.org/W6968108322","https://openalex.org/W7171975701"],"abstract_inverted_index":{"In":[0],"the":[1,32,43,119,129,157,161,169,172],"growing":[2],"financial":[3,36],"services":[4],"industry,":[5],"fraud":[6,21,86],"prevention":[7],"is":[8,40,125],"crucial":[9],"to":[10,58,127],"ensure":[11],"a":[12,74,110],"secure":[13],"user":[14],"and":[15,42,62,64,103,132,163],"provider":[16],"environment.":[17],"For":[18],"prediction,":[19],"traditional":[20],"detection":[22],"depends":[23],"on":[24],"rule-based":[25],"techniques":[26],"or":[27],"manually":[28],"created":[29],"features.":[30],"However,":[31],"information":[33],"in":[34,109],"such":[35],"transactions":[37],"between":[38,45],"users":[39,46,135],"diverse":[41],"relationships":[44],"are":[47,56,136],"complex.":[48],"Therefore,":[49],"numerous":[50],"heterogeneous":[51],"Graph":[52,80,89,93,99],"Neural":[53,81,90],"Networks":[54,91],"(GNNs)":[55],"employed":[57],"capture":[59],"complicated":[60],"correlations":[61],"patterns":[63],"efficiently":[65],"transform":[66],"unlabeled":[67],"data":[68],"into":[69],"labelled":[70],"ones.":[71],"We":[72],"propose":[73],"stacking":[75],"ensemble":[76,155],"of":[77,113,153,160,171],"four":[78],"different":[79,111,116],"Network":[82],"(GNN)":[83],"models":[84,148,162],"for":[85,95],"detection:":[87],"Semi":[88],"(Semi-GNN),":[92],"Embeddings":[94],"Malicious":[96],"Accounts":[97],"(GEM),":[98],"based":[100],"Anti-Spam":[101],"(GAS)":[102],"FdGars,":[104],"where":[105],"each":[106],"model":[107,130],"specialises":[108],"way":[112],"dealing":[114],"with":[115],"data.":[117],"At":[118],"same":[120],"time,":[121],"an":[122,154],"attention":[123],"mechanism":[124],"incorporated":[126],"make":[128],"interpretable":[131],"explain":[133],"why":[134],"classified":[137],"as":[138],"fraudulent.":[139],"Experiments":[140],"show":[141],"that":[142,167],"our":[143],"approach":[144],"consistently":[145],"outperforms":[146],"baseline":[147],"over":[149],"time.":[150],"The":[151],"use":[152],"increases":[156],"predictive":[158],"accuracy":[159],"shows":[164],"encouraging":[165],"results":[166],"demonstrate":[168],"efficiency":[170],"proposed":[173],"method.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-06-11T00:00:00"}
