{"id":"https://openalex.org/W4362670081","doi":"https://doi.org/10.1080/09540091.2023.2191893","title":"MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance","display_name":"MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362670081","doi":"https://doi.org/10.1080/09540091.2023.2191893"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2023.2191893","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2191893","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/09540091.2023.2191893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067994538","display_name":"Jing Long","orcid":"https://orcid.org/0000-0001-5928-1044"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Long","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061127138","display_name":"Fei Fang","orcid":"https://orcid.org/0000-0003-2256-8329"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Fang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101200100","display_name":"Cuiting Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiting Luo","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067704230","display_name":"Yehua Wei","orcid":"https://orcid.org/0000-0003-0271-8617"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehua Wei","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, People's Republic of China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067675188","display_name":"Tien\u2010Hsiung Weng","orcid":"https://orcid.org/0000-0003-3244-4127"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tien-Hsiung Weng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Providence University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067994538"],"corresponding_institution_ids":["https://openalex.org/I173759888"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":1.1796,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82317575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8400437831878662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5081090927124023},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4921543002128601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4878259003162384},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.48535028100013733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4842193126678467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46257948875427246},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.42816150188446045},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4244653582572937},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1422944962978363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400437831878662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5081090927124023},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4921543002128601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4878259003162384},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.48535028100013733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4842193126678467},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46257948875427246},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.42816150188446045},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4244653582572937},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1422944962978363},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2023.2191893","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2191893","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:958682697ff0497b99677a0e208f4b40","is_oa":true,"landing_page_url":"https://doaj.org/article/958682697ff0497b99677a0e208f4b40","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 35, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2023.2191893","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2191893","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2784062159","display_name":null,"funder_award_id":"61902167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1516061453","https://openalex.org/W2463618975","https://openalex.org/W2624431344","https://openalex.org/W2767106145","https://openalex.org/W2769984510","https://openalex.org/W2772947247","https://openalex.org/W2779931100","https://openalex.org/W2805603599","https://openalex.org/W2897862648","https://openalex.org/W2904890881","https://openalex.org/W2908652464","https://openalex.org/W2911286998","https://openalex.org/W2916913565","https://openalex.org/W2945996535","https://openalex.org/W2969328892","https://openalex.org/W2979153965","https://openalex.org/W2984239289","https://openalex.org/W3009901425","https://openalex.org/W3022945404","https://openalex.org/W3025413549","https://openalex.org/W3041454767","https://openalex.org/W3068123808","https://openalex.org/W3082648102","https://openalex.org/W3099064659","https://openalex.org/W3099825604","https://openalex.org/W3102969158","https://openalex.org/W3125728023","https://openalex.org/W3153858161","https://openalex.org/W3167678855","https://openalex.org/W3182542716","https://openalex.org/W3187047132","https://openalex.org/W4226047844","https://openalex.org/W4250685322","https://openalex.org/W4294690883","https://openalex.org/W4296831186"],"related_works":["https://openalex.org/W2989589039","https://openalex.org/W3007554386","https://openalex.org/W2780247929","https://openalex.org/W3108131348","https://openalex.org/W2000646855","https://openalex.org/W4213307675","https://openalex.org/W2035952186","https://openalex.org/W3005442585","https://openalex.org/W178750188","https://openalex.org/W3095070775"],"abstract_inverted_index":{"Online":[0],"transaction":[1],"fraud":[2,40,44,90],"has":[3],"become":[4],"increasingly":[5],"rampant":[6],"due":[7],"to":[8,18,36,92,129,164],"the":[9,20,26,37,49,60,64,68,74,77,118,124,130,136,148,161,173,191,197,207,218,225,229],"convenience":[10],"of":[11,22,28,39,76,99,170],"mobile":[12],"payment.":[13],"Fraud":[14],"detection":[15,45,91],"is":[16,221],"critical":[17],"ensure":[19],"security":[21],"online":[23,89,102],"transactions.":[24],"With":[25],"development":[27],"graph":[29,84],"neural":[30,85],"network,":[31],"researchers":[32],"have":[33],"applied":[34],"it":[35],"field":[38],"detection.":[41],"The":[42,96,121,152,213],"existing":[43],"methods":[46],"will":[47,71,132,141],"solve":[48],"class":[50],"imbalance":[51,70,100],"by":[52,194],"sampling,":[53],"but":[54],"they":[55,113],"do":[56],"not":[57],"fully":[58],"consider":[59],"various":[61],"imbalances":[62],"in":[63,101,117,147,158,228],"heterogeneous":[65],"graph,":[66],"and":[67,109,112,139,211,235],"data":[69],"directly":[72],"affect":[73],"performance":[75],"model.":[78,120],"This":[79,202],"work":[80],"proposes":[81],"a":[82,179],"hybrid":[83,153],"network":[86],"model":[87,154,219,227,231],"for":[88,135,144,172,186],"address":[93],"this":[94],"issue.":[95],"three":[97],"types":[98],"transactions":[103],"are":[104,114],"feature":[105,125,137],"imbalance,":[106,108,111,138,188],"category":[107,174],"relation":[110,187],"all":[115],"addressed":[116],"proposed":[119,220],"entities":[122],"with":[123,160,167],"most":[126],"closely":[127],"related":[128],"fraudsters":[131],"be":[133,142],"determined":[134],"samples":[140],"taken":[143],"further":[145],"identification":[146],"subsequent":[149],"training":[150,195],"phase.":[151],"then":[155],"uses":[156,190],"under-sampling":[157],"combination":[159],"long-distance":[162],"sampling":[163,198],"find":[165],"nodes":[166],"high":[168],"similarity":[169],"features":[171],"imbalance.":[175],"Finally,":[176],"we":[177],"propose":[178],"reward/punishment":[180],"mechanism":[181],"based":[182],"on":[183,206,232,238],"reinforcement":[184],"learning":[185],"which":[189],"threshold":[192],"created":[193],"as":[196],"weight":[199],"between":[200],"relations.":[201],"paper":[203],"conducts":[204],"experiments":[205],"public":[208],"datasets":[209],"Amazon":[210,233],"Yelp.":[212],"experimental":[214],"results":[215],"show":[216],"that":[217],"5.61%":[222],"higher":[223,237],"than":[224],"best":[226],"comparison":[230],"dataset,":[234],"1.58%":[236],"Yelp":[239],"dataset.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
