arlen-yuzu / gcn-lpa-pytorch

A Pytorch implementation of GCN-LPA

GCN-LPA-PyTorch

This repository is the 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

$ python main.py

Required packages

The code has been tested running under Python 3.8.12, with the following packages installed (along with their dependencies):

• torch==1.10.1
• scipy==1.7.3
• numpy==1.21.2
• pyg==2.0.3
• pytorch-scatter==2.0.9
• pytorch-sparse==0.6.12
• pytorch-spline-conv==1.2.1

Notification

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

@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},
}