GARG-AML detects smurfing in anti-money laundering using second-order graph neighborhood densities combined with machine learning classifiers for scalable and interpretable results.
Kulatilleke, Mohanad Sarhan, Siamak Layeghy, and Marius Portmann
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SI 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
GARG-AML detects smurfing in anti-money laundering using second-order graph neighborhood densities combined with machine learning classifiers for scalable and interpretable results.