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Tilburg University

Leveraging graph neural networks for enhanced detection of money laundering activities : a comparative study of GNN architectures and traditional models in addressing class imbalance and computational challenges in AML systems

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bao, D.
Contributors dc:contributor
  • Güven, Ç.

Rights

dc:rights
Statement dc:rights
  • (c) Universiteit van Tilburg
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scr.uvt.nl:11108519

Chain of custody

source
Harvested from
Tilburg University
Base URL
arno.uvt.nl/oai/scr.uvt.nl.cgi
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Bao, D.. Leveraging graph neural networks for enhanced detection of money laundering activities : a comparative study of GNN architectures and traditional models in addressing class imbalance and computational challenges in AML systems. 2025. https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11108519