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Arxiv
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Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
- Researchers propose a semi-supervised graph neural network for credit card fraud detection.
- The method utilizes transaction records to construct a temporal transaction graph.
- A Gated Temporal Attention Network (GTAN) is used to learn transaction representations.
- The proposed method outperforms other baselines on fraud detection datasets.
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