Publication:

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review

Date

2025-AUG 21
Journal Article Review
https://doi.org/10.1002/wics.70040
Simple item page Full metadata Statistics
 
dc.contributor.authorDeprez, Bruno
dc.contributor.authorWei, Wei
dc.contributor.authorVerbeke, Wouter
dc.contributor.authorBaesens, Bart
dc.contributor.authorMets, Kevin
dc.contributor.authorVerdonck, Tim
dc.contributor.imecauthorDeprez, Bruno
dc.contributor.imecauthorWei, Wei
dc.contributor.imecauthorMets, Kevin
dc.contributor.imecauthorVerdonck, Tim
dc.contributor.orcidimecWei, Wei::0000-0002-1635-0924
dc.contributor.orcidimecMets, Kevin::0000-0002-4812-4841
dc.contributor.orcidimecVerdonck, Tim::0000-0003-1105-2028
dc.date.accessioned2025-09-06T03:58:32Z
dc.date.available2025-09-06T03:58:32Z
dc.date.issued2025-AUG 21
dc.description.wosFundingTextThis study was supported by the Research Foundation-Flanders (FWO research projects 1SHEN24N and G015020N) and by the BNP Paribas Fortis Chair in Fraud Analytics, and by the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme. The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation-Flanders (FWO) and the Flemish Government.
dc.identifier.doi10.1002/wics.70040
dc.identifier.issn1939-0068
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46151
dc.publisherWILEY
dc.source.issue3
dc.source.journalWILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS
dc.source.numberofpages28
dc.source.volume17
dc.subject.keywordsNEURAL-NETWORKS
dc.subject.keywordsFRAUD DETECTION
dc.title

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review

dc.typeJournal article review
dspace.entity.typePublication
Files
Publication available in collections:
Articles