{"id":"https://openalex.org/W4410823214","doi":"https://doi.org/10.1007/s10115-025-02476-5","title":"Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection","display_name":"Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410823214","doi":"https://doi.org/10.1007/s10115-025-02476-5"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-025-02476-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-025-02476-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-025-02476-5.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-025-02476-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054873024","display_name":"Venus Haghighi","orcid":"https://orcid.org/0000-0002-5036-8984"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Venus Haghighi","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018491626","display_name":"Behnaz Soltani","orcid":"https://orcid.org/0009-0003-8816-0526"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Behnaz Soltani","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080683796","display_name":"Nasrin Shabani","orcid":"https://orcid.org/0000-0001-7283-5101"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nasrin Shabani","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006220393","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0001-8392-8338"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354571","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-6821-2710"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["College of Information, University of North Texas, Denton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, University of North Texas, Denton, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107959361","display_name":"Lina Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["CSIRO\u2019s Data61, Eveleigh, Australia","School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO\u2019s Data61, Eveleigh, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009644404","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-4408-1952"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, 2109, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, 2109, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054873024"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":3.2043,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91841367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"67","issue":"9","first_page":"7987","last_page":"8022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9926000237464905,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.991599977016449,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.784784734249115},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.746527373790741},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.612205982208252},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.520733118057251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46136942505836487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45749104022979736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4088217616081238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3902450203895569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37966540455818176},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34304186701774597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412739336490631},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3326319456100464},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.14464300870895386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09163278341293335}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.784784734249115},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.746527373790741},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.612205982208252},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.520733118057251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46136942505836487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45749104022979736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4088217616081238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3902450203895569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37966540455818176},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34304186701774597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412739336490631},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3326319456100464},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.14464300870895386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09163278341293335},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-025-02476-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-025-02476-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-025-02476-5.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10115-025-02476-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-025-02476-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-025-02476-5.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320591","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410823214.pdf","grobid_xml":"https://content.openalex.org/works/W4410823214.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2064058256","https://openalex.org/W2085766370","https://openalex.org/W2089554624","https://openalex.org/W2136891251","https://openalex.org/W2348679751","https://openalex.org/W2730363704","https://openalex.org/W2892880750","https://openalex.org/W2897862648","https://openalex.org/W2907492528","https://openalex.org/W2945996535","https://openalex.org/W3022746105","https://openalex.org/W3022945404","https://openalex.org/W3033991488","https://openalex.org/W3068123808","https://openalex.org/W3081229243","https://openalex.org/W3081300507","https://openalex.org/W3099825604","https://openalex.org/W3102969158","https://openalex.org/W3128443161","https://openalex.org/W3153858161","https://openalex.org/W3206604724","https://openalex.org/W3217103056","https://openalex.org/W4206991245","https://openalex.org/W4224310669","https://openalex.org/W4282926996","https://openalex.org/W4284701295","https://openalex.org/W4321521181","https://openalex.org/W4321592872","https://openalex.org/W4385768064","https://openalex.org/W4385768265","https://openalex.org/W4402530312","https://openalex.org/W4404469451","https://openalex.org/W4404932860","https://openalex.org/W4405720533","https://openalex.org/W4407832415","https://openalex.org/W6601174010","https://openalex.org/W6818913430"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608"],"abstract_inverted_index":{"Abstract":[0],"Fraud":[1],"detection":[2,29,52,73,107,231],"in":[3,34,126],"online":[4,127],"networks":[5,65],"has":[6,30],"become":[7],"increasingly":[8],"challenging":[9],"as":[10],"fraudsters":[11,57],"adopt":[12],"sophisticated":[13,43],"camouflage":[14],"tactics":[15],"to":[16,22,41,54,101,189,207,212,227],"evade":[17],"detection,":[18],"making":[19],"it":[20],"imperative":[21],"combat":[23],"their":[24,191],"deceptive":[25],"strategies.":[26],"Graph-based":[27],"fraud":[28,51,72,90,106,230],"gained":[31],"significant":[32],"attention":[33],"recent":[35],"years,":[36],"reflecting":[37],"its":[38],"growing":[39],"potential":[40],"mitigate":[42],"fraudulent":[44],"activities.":[45],"The":[46,193,233],"main":[47],"objective":[48],"of":[49,97,239],"graph-based":[50,71],"is":[53,197],"distinguish":[55],"between":[56,164],"and":[58,83,167,181,236],"normal":[59],"entities":[60,88],"within":[61,89],"graphs.":[62,91],"While":[63],"real-world":[64,220],"contain":[66],"complex,":[67],"high-order":[68,133,170,210],"relationships,":[69],"existing":[70],"methods":[74],"focus":[75],"solely":[76],"on":[77,218],"pairwise":[78],"interactions,":[79],"overlooking":[80],"non-pairwise":[81,99],"relationships":[82,100],"the":[84,95,140,146,186,205,228,237],"broader":[85],"dependencies":[86],"among":[87],"Thus,":[92],"we":[93,112,135],"highlight":[94],"importance":[96],"exploring":[98],"build":[102],"a":[103,115,137,162,201],"more":[104],"effective":[105],"model.":[108],"In":[109],"this":[110,154],"paper,":[111],"propose":[113],"TROPICAL,":[114],"novel":[116],"TRansfOrmer-based":[117],"hyPergraph":[118],"LearnIng":[119],"framework":[120],"for":[121],"detecting":[122],"CAmouflaged":[123],"maLicious":[124],"actors":[125],"social":[128],"networks.":[129],"To":[130],"capture":[131],"comprehensive":[132],"relations,":[134],"construct":[136],"hypergraph":[138,147],"from":[139],"original":[141],"input":[142],"graph.":[143],"However,":[144],"constructing":[145],"can":[148],"be":[149],"computationally":[150],"intensive.":[151],"TROPICAL":[152,172],"addresses":[153],"challenge":[155],"by":[156,176],"carefully":[157],"selecting":[158],"moderate":[159],"hyperparameters,":[160],"creating":[161],"balance":[163],"computational":[165],"efficiency":[166],"effectively":[168],"capturing":[169],"relationships.":[171],"learns":[173],"node":[174],"representations":[175,211],"processing":[177],"multiple":[178],"hyperedge":[179],"groups":[180],"incorporates":[182],"positional":[183],"encodings":[184],"into":[185],"aggregated":[187,194],"information":[188,196],"enhance":[190],"distinctiveness.":[192],"sequential":[195],"then":[198],"passed":[199],"through":[200],"transformer":[202],"encoder,":[203],"enabling":[204],"model":[206],"generate":[208],"rich,":[209],"detect":[213],"camouflaged":[214],"fraudsters.":[215],"Extensive":[216],"experiments":[217],"two":[219],"datasets":[221,238],"demonstrate":[222],"TROPICAL\u2019s":[223],"superior":[224],"performance":[225],"compared":[226],"state-of-the-art":[229],"models.":[232],"source":[234],"codes":[235],"our":[240],"work":[241],"are":[242],"available":[243],"at":[244],"https://github.com/VenusHaghighi/TROPICAL":[245],".":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
