ookeoma8144-tech/FedGNN-Explain-Nigeria

Federated Graph Neural Networks for Explainable Fraud Detection in the Nigerian Mobile Money Ecosystem # FedGNN-Explain-Nigeria 🇳🇬 Federated Graph Neural Networks for Explainable Fraud Detection in the Nigerian Mobile Money Ecosystem This project implements a privacy-preserving GNN framework tailored for the Nigerian financial ecosystem (OPay, GTBank, PalmPay). ## 🚀 Key Features - **Federated Learning:** Training across siloed data without violating NDPR privacy laws. - **GraphSAGE Architecture:** Capturing topological fraud signatures instead of just tabular patterns. - **Explainable AI (XAI):** Generating attention-based subgraphs for CBN AML compliance reporting. ## 📈 Results - **+184% Improvement** in Cross-Institution Ring Recall. - **0.94 AUC-ROC** on imbalanced PaySim data. ## 🛠️ Tech Stack - PyTorch Geometric (GNNs) - Streamlit (Dashboard) - NetworkX (Visualization)