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 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 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) [ YouTube, Colab]
Adversarially Regularized Graph Autoencoders (ARGA and ARGVA) [ YouTube, Colab]
Graph Generation [ YouTube]
Recurrent Graph Neural Networks [ YouTube, Colab (Part 1), Colab (Part 2)]
DeepWalk and Node2Vec [ YouTube (Theory), YouTube (Practice), Colab]
Edge analysis [ YouTube, Colab (Link Prediction), Colab (Label Prediction)]