Graph Neural Networks (GNNs) are one of the most interesting architectures in deep learning but educational resources are scarce and more research-oriented.

In this course, you'll learn everything you need to know from fundamental architectures to the current state of the art in GNNs.

Chapter	Description	Article	Notebook
1. Introduction to Graph Neural Networks	What's a GNN? Essentials of graph theory with PyTorch Geometric.	Article
2. Graph Attention Network	Implement a GNN with self-attention to classify nodes on CiteSeer.	Article
3. GraphSAGE	Scale GNNs with mini-batching and the GraphSAGE architecture on PubMed.	Article
4. Graph Isomorphism Network	Maximize the power of the GNN for graph classification on PROTEINS.	Article

• Email: [email protected]
• Twitter: @maximelabonne
• Medium: https://medium.com/@mlabonne
• Blog: https://mlabonne.github.io/blog/

Let's connect on Twitter and Medium!