Awesome

PTDNet

This is a Tensorflow implementation of paper: <b>Learning to Drop: Robust Graph Neural Network via Topological Denoising</b>

https://arxiv.org/abs/2011.07057

<i>WSDM'21</i>

Unofficial Implementation <b> Robust Graph Representation Learning via Neural Sparsification</b>

<i> ICML 20</i>

Since the previous version is not easy to use, I've updated the code from Tensorflow 1.0 to Tensorflow 2.0. Currently, I only provide sample implementation for reference. Hyper-parameters for different datasets need tune.

Requirements

• Python 3.8.6
• tensorflow 2.3.1
• networkx

References

@inproceedings{luo2021learning,
  title={Learning to Drop: Robust Graph Neural Network via Topological Denoising},
  author={Luo, Dongsheng and Cheng, Wei and Yu, Wenchao and Zong, Bo and Ni, Jingchao and Chen, Haifeng, and Zhang, Xiang},
  booktitle={Proceedings of the 14th ACM International Conference on Web Search and Data Mining},
  year={2021},
  organization={ACM}
}