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Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection
In this paper, we review the effectiveness of a feature-level fusion of super-app customer information, mobile phone line data, and traditional credit risk variables for the early detection of identity theft credit card fraud.
Relational Graph Neural Networks for Fraud Detection in a Super-App environment
Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection problems.
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