A Unified View on Graph Neural Networks as Graph Signal Denoising

Pytorch implementation of ADA-UGNN. Some parts of the code are adapdted from this repo.

For more details of the algorithm, please refer to our paper. If you find this work useful and use it in your research, please cite our paper.

@article{ma2020unified,
  title={A unified view on graph neural networks as graph signal denoising},
  author={Ma, Yao and Liu, Xiaorui and Zhao, Tong and Liu, Yozen and Tang, Jiliang and Shah, Neil},
  journal={arXiv preprint arXiv:2010.01777},
  year={2020}
}

Requirements

torch               1.4.0+cu100
torchvision         0.5.0+cu100
networkx            2.5
numpy               1.19.1

Usage

All the hyper-parameters settings are included in the run.sh file.