arXiv cs.LG
6/26/2026

Clue-Guided Money Laundering Group Discovery
Short summary
Researchers introduce Clue2Group, a graph neural network framework for identifying money laundering networks from investigative clues. Using local-temporal GNNs and multi-semantic evidence, it progressively maps criminal structures while preserving laundering patterns. Tested on two AML benchmarks, it bridges academic anomaly detection with real investigation workflows.
- •Novel GNN framework starts from investigative clues rather than whole-network searches
- •Uses local-temporal graph neural networks to preserve chain and cycle laundering patterns
- •Designed to match real AML analyst workflows, not just produce risk alerts
Generated with AI, which can make mistakes.
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