SpGAT

This is a TensorFlow implementation of Spectral Graph Attention Network with Fast Eigen-approximation (SpGAT).

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu, Spectral Graph Attention Network with Fast Eigen-approximation, CIKM 2021.

Requirements

• python3
• tensorflow (tested on 1.12.0)
• networkx
• numpy
• scipy
• sklearn

Anaconda environment is recommended.

Run the code

To replicate the result of SpGAT on Cora:

python train.py

To replicate the result of SpGAT_Cheby on Cora:

python train.py --model SpGAT_Cheby

Acknowledgement

This repo is modified from GWNN, and we sincerely thank them for their contributions.

Reference

• If you find SpGAT useful in your research, please cite the following in your manuscript:

@article{chang2020spectral,
  title={Spectral Graph Attention Network with Fast Eigen-approximation},
  author={Chang, Heng and Rong, Yu and Xu, Tingyang and Huang, Wenbing and Sojoudi, Somayeh and Huang, Junzhou and Zhu, Wenwu},
  journal={arXiv preprint arXiv:2003.07450},
  year={2020}
}