Introduction: DGFraud is a Graph Neural Network (GNN) based toolbox for fraud detection. It integrates the implementation & comparison of state-of-the-art GNN-based fraud detection models. It also includes several utility functions such as graph preprocessing, graph sampling, and performance evaluation. The introduction of implemented models can be found here.
Useful Resources
Table of Contents