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NetGuard: GNN Intrusion Detection

A research implementation of Graph Neural Networks for detecting anomalous traffic patterns in complex network topologies.

PyTorchPythonCUDA

Overview

NetGuard applies graph neural networks to network flow data for real-time intrusion detection.

Results

Surpassed baseline isolation forest accuracy by 14% on benchmark datasets.

Gallery

NetGuard architecture diagram
System overview