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:
All colab notebooks are released under the MIT license.
Stanford CS224W Graph ML Tutorials:
The Stanford CS224W course has collected 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!
PyTorch Geometric Tutorial Project:
The PyTorch Geometric Tutorial project provides 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)]