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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/04/shsconf_messd2025_01016.pdf |
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