GCN-LPA-PyTorch

A PyTorch Implementation of GCN-LPA (arXiv):

Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang, Jure Leskovec
arXiv Preprint, 2020

GCN-LPA is an end-to-end model that unifies Graph Convolutional Neural Networks (GCN) and Label Propagation Algorithm (LPA) for adaptive semi-supervised node classification.

TODO

This repo is going to be done...

Prerequisites

The code has been tested running under Python 3.8.1, with the following packages installed (along with their dependencies):

• torch==
• scipy==
• numpy==

Notification

• This is not an official implementation.
• Please cite the following papers if you use the code in your work:

@article{kipf2016semi,
  title={Semi-Supervised Classification with Graph Convolutional Networks},
  author={Kipf, Thomas N and Welling, Max},
  journal={arXiv preprint arXiv:1609.02907},
  year={2016}
}

@article{wang2020unifying,
    title={Unifying Graph Convolutional Neural Networks and Label Propagation},
    author={Hongwei Wang and Jure Leskovec},
    journal={arXiv preprint arXiv:2002.06755}
    year={2020},
}