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Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.

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onurkya7/LSTM-GCN-Anomaly-Detection

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LSTM-GCN-Anomaly-Detection

Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.

Setup Environment

# Make sure your PIP is up to date
pip install -U pip wheel setuptools

Contributing

  • If you encounter any issues with the project, feel free to report them on GitHub Issues.
  • If you wish to contribute to the project, you can submit a Pull Request.

License

Our project is licensed under the GPU License.

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Hybrid approach combining LSTM and Graph Convolutional Networks (GCN) for real-time anomaly detection in dynamic computer network data.

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