Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks
Money laundering remains a significant global issue, undermining financial stability and security. This study introduces a Self-Attention-GNN Model enhanced with a self-attention mechanism to improve the detection of money laundering activities in a large, imbalanced dataset of financial transaction...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_01016.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|