Introduction to Graph Neural Networks and Explainability

This is a gentle introduction to building a Graph Neural Network with PyTorch Geometric, the popular library for geometric deep learning. The tutorial will also cover some streamlined interpretability tools for analyzing the decision process of a GNN.

The tutorial is a Python notebook that you can

or

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To run the notebook locally, you need the following libraries:

- PyTorch
- PyTorch Geometric
- Pytorch Lightning
- Captum
- Networkx

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This tutorial is adapted from the tutorial of Simone Scardapane (slides, notebook).