This page contains links and references useful for an introduction to graph emebddings.

The class is composed of 4 jupyter notebooks.
You can download the notebooks and their associated resources (graph, libraries...) here: Download

To get a brief simple idea of the content, you can have a look at the HTML versions of the notebooks:

How to run graph embedding techniques
All the code of a basic graph embedding technique (simplified DeepWalk/Node2vec)
Understand what graph embedding really do and how they work
Do tasks (Link prediction, node classification...) using Graph Embedding