NIKE-ADIDAS / Transaction-Fraud-detection-using-GNN-and-Explainability

A project that is implemented to detect transactional fraudulent activities. Graph based features are generated from the dataset. Performance of baseline XGBoost model and Graph Neural Network model generated using these features have been evaluated. The ability of the model to explain the results has also been studied.

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A project that is implemented to detect transactional fraudulent activities. Graph based features are generated from the dataset. Performance of baseline XGBoost model and Graph Neural Network model generated using these features have been evaluated. The ability of the model to explain the results has also been studied.


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