https://github.com/mlabonne/graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.
https://github.com/mlabonne/graph-neural-network-course

deep-learning graph-attention-networks graph-convolutional-networks graph-neural-networks neural-network pytorch pytorch-geometric

Last synced: 8 days ago
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Free hands-on course about Graph Neural Networks using PyTorch Geometric.

• Host: GitHub
• URL: https://github.com/mlabonne/graph-neural-network-course
• Owner: mlabonne
• Created: 2022-04-19T15:17:52.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-08-19T20:36:39.000Z (about 1 year ago)
• Last Synced: 2023-08-19T21:40:16.911Z (about 1 year ago)
• Topics: deep-learning, graph-attention-networks, graph-convolutional-networks, graph-neural-networks, neural-network, pytorch, pytorch-geometric
• Language: Jupyter Notebook
• Homepage: https://mlabonne.github.io/blog/
• Size: 5.84 MB
• Stars: 89
• Watchers: 6
• Forks: 17
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🌐 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](https://mlabonne.github.io/blog/intrognn/)                                        |  |

| 2. Graph Attention Network               | Implement a GNN with self-attention to classify nodes on CiteSeer.      | [Article](https://mlabonne.github.io/blog/gat/) |  |

| 3. GraphSAGE                             | Scale GNNs with mini-batching and the GraphSAGE architecture on PubMed. | [Article](https://mlabonne.github.io/blog/graphsage/)  |  |

| 4. Graph Isomorphism Network                             | Maximize the power of the GNN for graph classification on PROTEINS. | [Article](https://mlabonne.github.io/blog/gin/)  |  |

## 👨‍💻 Contact

* Email: [email protected]

* Twitter: @maximelabonne

* Medium: https://medium.com/@mlabonne

* Blog: https://mlabonne.github.io/blog/

Let's connect on [Twitter](https://twitter.com/maximelabonne) and [Medium](https://medium.com/@mlabonne)!