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  • Language
    Python
  • Created about 6 years ago
  • Updated about 3 years ago

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Repository Details

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

Deep Anomaly Detection on Attributed Networks(SDM2019)

Dominant

This is the source code of paper "Deep Anomaly Detection on Attributed Networks". A new PyTorch version can be accessed from https://github.com/kaize0409/GCN_AnomalyDetection_pytorch

The proposed framework

Requirements

python==2.7.3

tensorflow>=1.1.0

Usage

python run.py

Cite

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

@inproceedings{ding2019deep,
  title={Deep Anomaly Detection on Attributed Networks},
  author={Ding, Kaize and Li, Jundong and Bhanushali, Rohit and Liu, Huan},
  booktitle={SIAM International Conference on Data Mining (SDM)},
  year={2019}
}

Update

A new PyTorch version of the code can be accessed from https://github.com/kaize0409/GCN_AnomalyDetection_pytorch