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Hybrid GCN-GAT Model for Anomaly Detection by nellorebharath47 is a document available to read on EtoBox.

What is Hybrid GCN-GAT Model for Anomaly Detection about?

This study presents a novel hybrid anomaly detection model that combines Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT) to improve the detection of anomalies in firewall logs from campus networks. The hybrid model leverages GCN

Author
nellorebharath47
Language
EN

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