Flow-a-gorithm
PublicFlow-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.
anomaly-detectionfusion-classifiergcngradioidsincremental-pattern-matchingnetwork-analysispytorch-geometricsubgraph-isomorphismullmann-algorithm
Creat:2025-05-27T22:42:49
Update:2025-06-17T12:32:27
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