Robust Financial Fraud Detection via Causal Intervention and Multi-View Contrastive Learning on Dynamic Hypergraphs
Financial fraud detection is critical to modern economic security, yet remains challenging due to collusive group behavior, temporal drift, and severe class imbalance. Most existing graph neural network (GNN) detectors rely on pairwise edges and correlation-driven learning, which limits their abilit...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-12-01
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| Col·lecció: | Mathematics |
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| Accés en línia: | https://www.mdpi.com/2227-7390/13/24/4018 |
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