Skip to content

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

Notifications You must be signed in to change notification settings

kaize0409/GCN_AnomalyDetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

95 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages