Pytorch Exploiting Edge Features for Graph Neural Networks

This is a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.

The repo has been forked initially from https://github.com/Diego999/pyGAT.

Therefore, if you make advantage of the EGAT model in your research, please cite the following:

@article{
  Liyu Gong, Qiang Cheng
  title="{Exploiting Edge Features for Graph Neural Networks}",
  author={Liyu Gong, Qiang Cheng},
  journal={Computer Vision and Pattern Recognition},
  year={2019},
  url={https://ieeexplore.ieee.org/document/8954414}
}

The branch master contains the implementation from the paper.

Requirements

EGAT relies on Python3.8 and Pytorch 1.7

Issues/Pull Requests/Feedbacks

Don't hesitate to contact for any feedback or create issues/pull requests.