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Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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Meta-GDN

This is the implementation for TheWebConf'21 paper: "Few-shot Network Anomaly Detection via Cross-network Meta-learning". The proposed framework

Requirements

-Python: 3.6
-Pytorch: 1.1.0
-numpy: 1.19.2
-scikit-learn: 0.20.3
-scipy: 1.2.1

Evaluation

python run.py

Others

Please cite our paper if you use this code in your own work:

@inproceedings{ding2021few,
  title={Few-shot Network Anomaly Detection via Cross-network Meta-learning},
  author={Ding, Kaize and Zhou, Qinghai and Tong, Hanghang and Liu, Huan},
  booktitle={Proceedings of the Web Conference 2021},
  pages={2448--2456},
  year={2021}
}

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Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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