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