Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.
ids network-analysis gradio gcn anomaly-detection subgraph-isomorphism incremental-pattern-matching pytorch-geometric ullmann-algorithm fusion-classifier
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Updated
May 27, 2025 - Python