Reading Assignment: Graph Neural Networks

Distill.pub has two blog posts that introduce the topic:

1. A Gentle Introduction to Graph Neural Networks

2. Understanding Convolutions on Graphs

Please go through both!

For further optional reading, these books conver the topic in more depth:

• The Graph Representation Learning Book by William L. Hamilton is a whole book on the topic. (recommended sections: 1, 5, and 5.1)

• Probabilistic Machine Learning: An Introduction by Kevin P. Murphy covers Graph Embeddings in Chapter 23.

Please also share any valuable resources that you come across!