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Layer Wise Relevance Propagation on Graph Convolutional Networks

This is a Graph Convolutional Network Implementation with Layer wise Relevance Propagation on the trained Model To interpret the results of the model

The implementation of Graph Convolutional Network is taken from
Thomas N. Kipf, Max Welling, Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)

For a high-level explanation, have a look at our blog post:

Thomas Kipf, Graph Convolutional Networks (2016)

Installation

python setup.py install

Requirements

  • tensorflow (>0.12)
  • networkx

Run the demo

cd gcn
python train.py

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Implementation of Graph Convolutional Networks in TensorFlow

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