Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN
Abstract As digital financial transactions and fraudulent activities grow in complexity, ensuring financial system security becomes increasingly challenging. This paper introduces LayerWeighted-GCN (LWG), a novel Graph Neural Network (GNN) model for fraud detection, along with a synthetic dataset na...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-04-01
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| Series: | Human-Centric Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44230-025-00097-3 |
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