Skip to content

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

Notifications You must be signed in to change notification settings

segavasilev/graph-neural-network-course

 
 

Repository files navigation

🌐 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

👨‍💻 Contact

Let's connect on Twitter and Medium!

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%