Colab Notebooks and Video Tutorials¶
We have prepared a list of colab notebooks that practically introduces you to the world of Graph Neural Networks with PyG:
The Stanford CS224W course collects a set of graph machine learning tutorial blog posts, fully realized with PyG. Students worked on projects spanning all kinds of tasks, model architectures and applications. All tutorials also link to a Google Colab with the code in the tutorial for you to follow along with as you read it!
The PyTorch Geometric Tutorial project provides further video tutorials and Colab notebooks for a variety of different methods in PyG:
(Variational) Graph Autoencoders (GAE and VGAE) [Video, Notebook]
Adversarially Regularized Graph Autoencoders (ARGA and ARGVA) [Video, Notebook]
Graph Generation [Video]
Recurrent Graph Neural Networks [Video, Notebook (Part 1), Notebook (Part 2)]
DeepWalk and Node2Vec [Video (Theory), Video (Practice), Notebook]
Edge analysis [Video, Notebook (Link Prediction), Notebook (Label Prediction)]