/graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

Primary LanguageJupyter Notebook

🌐 Graph Neural Network Course

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 Open In Colab
2. Graph Attention Network Implement a GNN with self-attention to classify nodes on CiteSeer. Article Open In Colab
3. GraphSAGE Scale GNNs with mini-batching and the GraphSAGE architecture on PubMed. Article Open In Colab
4. Graph Isomorphism Network Maximize the power of the GNN for graph classification on PROTEINS. Article Open In Colab

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