Relational Graph Neural Networks for Fraud Detection in a Super-Appe nvironment

In this paper we propose a framework of relational graph convolutional networks methods for fraudulent behaviour prevention in the financial services of a Super-App. 2021: Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andr'es Rodr'iguez-Rey, Jose Alberto Ramos, Alejandro Correa-Bahnsen//arxiv.org/pdf/2107.13673.pdf