{"id":19021472,"url":"https://github.com/mlabonne/graph-neural-network-course","last_synced_at":"2025-04-06T16:11:20.106Z","repository":{"id":41481815,"uuid":"483299950","full_name":"mlabonne/graph-neural-network-course","owner":"mlabonne","description":"Free hands-on course about Graph Neural Networks using PyTorch Geometric.","archived":false,"fork":false,"pushed_at":"2023-08-19T20:36:39.000Z","size":6123,"stargazers_count":347,"open_issues_count":0,"forks_count":71,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-03-30T15:08:16.387Z","etag":null,"topics":["deep-learning","graph-attention-networks","graph-convolutional-networks","graph-neural-networks","neural-network","pytorch","pytorch-geometric"],"latest_commit_sha":null,"homepage":"https://mlabonne.github.io/blog/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mlabonne.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-04-19T15:17:52.000Z","updated_at":"2025-03-27T11:50:29.000Z","dependencies_parsed_at":"2024-11-08T20:33:56.213Z","dependency_job_id":null,"html_url":"https://github.com/mlabonne/graph-neural-network-course","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Fgraph-neural-network-course","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Fgraph-neural-network-course/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Fgraph-neural-network-course/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlabonne%2Fgraph-neural-network-course/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mlabonne","download_url":"https://codeload.github.com/mlabonne/graph-neural-network-course/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247509221,"owners_count":20950232,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","graph-attention-networks","graph-convolutional-networks","graph-neural-networks","neural-network","pytorch","pytorch-geometric"],"created_at":"2024-11-08T20:22:04.805Z","updated_at":"2025-04-06T16:11:20.077Z","avatar_url":"https://github.com/mlabonne.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🌐 Graph Neural Network Course\n\nGraph Neural Networks (GNNs) are one of the **most interesting architectures in deep learning** but educational resources are **scarce and more research-oriented**.\n\nIn this course, you'll learn **everything you need to know** from fundamental architectures to the current **state of the art** in GNNs.\n\n| Chapter                               | Description                                                             | Article                                                                                     | Notebook                                                                                                                                             |\n|---------------------------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| 1. Introduction to Graph Neural Networks | What's a GNN? Essentials of graph theory with PyTorch Geometric.        | [Article](https://mlabonne.github.io/blog/intrognn/)                                        | \u003ca href=\"https://colab.research.google.com/drive/1ZugveUjRrbSNwUbryeKJN2wyhGFRCw0q?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 2. Graph Attention Network               | Implement a GNN with self-attention to classify nodes on CiteSeer.      | [Article](https://mlabonne.github.io/blog/gat/) | \u003ca href=\"https://colab.research.google.com/drive/1B0vLpH_gSfrOLgsc2UZVyXrcofzA-t0L?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 3. GraphSAGE                             | Scale GNNs with mini-batching and the GraphSAGE architecture on PubMed. | [Article](https://mlabonne.github.io/blog/graphsage/)  | \u003ca href=\"https://colab.research.google.com/drive/1udeUfWJzvMlLO7sGUDGsHo8cRPMicajl?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n| 4. Graph Isomorphism Network                             | Maximize the power of the GNN for graph classification on PROTEINS. | [Article](https://mlabonne.github.io/blog/gin/)  | \u003ca href=\"https://colab.research.google.com/drive/1b6SWugNKnxsI0L9auX1zwszlXf3rRZyS?usp=sharing\"\u003e\u003cimg src=\"images/colab.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e |\n\n## 👨‍💻 Contact\n\n* Email: \u003ca href=\"mailto:labonne.maxime@gmail.com\"\u003elabonne.maxime@gmail.com\u003c/a\u003e\n* Twitter: \u003ca href=\"https://twitter.com/maximelabonne\"\u003e@maximelabonne\u003c/a\u003e\n* Medium: https://medium.com/@mlabonne\n* Blog: https://mlabonne.github.io/blog/\n\nLet's connect on [Twitter](https://twitter.com/maximelabonne) and [Medium](https://medium.com/@mlabonne)!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlabonne%2Fgraph-neural-network-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlabonne%2Fgraph-neural-network-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlabonne%2Fgraph-neural-network-course/lists"}