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graph-cnn.mxnet's Introduction

Graph Convolutional Networks Using MXNet

MXNet implementation of Graph Convolutional Neural Networks detailed in [Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/abs/1609.02907)

Tensorflow Implementation (Original) Author's PyTorch Implementation Pytorch Implementation by Bumsoo Kim

Graph Convolutional Networks

Graph Convolutions are best explained in this amazing blogpost by Thomas Kipf, the author of the paper Semi-Supervised Classification with Graph Convolutional Networks

Requirements

  • Python
  • MXnet
  • Numpy

Usage

  • Run node_classification_citation_network.ipynb

Notes/Observations:

  1. Unable to reproduce results from the paper with dropout of 0.5. Dropout=0 gives results similar to paper

graph-cnn.mxnet's People

Contributors

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