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Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019
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Readme.md

Graph Neural Networks for Natural Language Processing

Conference Slides Colab

The repository contains code examples for GNN-for-NLP tutorial at EMNLP 2019.

Slides can be downloaded from here.

Dependencies

  • Compatible with PyTorch 1.x, TensorFlow 1.x and Python 3.x.
  • Dependencies can be installed using requirements.txt.

TensorFlow Examples:

  • tf_gcn.py contains simplified implementation of first-order approximation of GCN model proposed by Kipf et. al. (2016)
  • Extensions of the same implementation for different problems:

PyTorch Examples:

  • pytorch_gcn.py is pytorch equivalent of tf_gcn.py implemented using pytorch-geometric.
  • Several other examples are available here.

Additional Resources:

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