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SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention

Researchers developed SALT-GNN, a graph neural network framework that uses statistics-aware attention to improve the detection of money laundering in dense transaction networks.

Impact
35/100
Current rank score
1.94
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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