/GUIDE_pytorch

Official PyTorch implementation of Higher-order Structure Based Anomaly Detection on Attributed Networks (GUIDE)

Primary LanguagePython

Higher-order Structure Based Anomaly Detection on Attributed Networks in Pytorch

PyTorch implementation of Higher-order Structure Based Anomaly Detection on Attributed Networks (GUIDE) [1].

image-20220926100808930

Usage

Motif Degree Counting

python motif4mat.py --dataset cora

Run GUIDE train

python guide_train.py --dataset cora

References

[1] X. Yuan, N. Zhou, S. Yu, H. Huang, Z. Chen and F. Xia, "Higher-order Structure Based Anomaly Detection on Attributed Networks," 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 2691-2700.

Cite

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

@INPROCEEDINGS{guide2021yuan,
  author={Yuan, Xu and Zhou, Na and Yu, Shuo and Huang, Huafei and Chen, Zhikui and Xia, Feng},
  booktitle={2021 IEEE International Conference on Big Data (Big Data)}, 
  title={Higher-order Structure Based Anomaly Detection on Attributed Networks}, 
  year={2021},
  pages={2691-2700},
}