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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.
Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data
The presence of Super-Apps have changed the way we think about the interactions between users and commerce.
Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications
In this paper we present the impact of alternative data that originates from an app-based marketplace, in contrast to traditional bureau data, upon credit scoring models.
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