mlabonne/graph-neural-network-course
Free hands-on course teaching Graph Neural Networks with PyTorch Geometric through notebooks and articles.
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This repository is a structured educational course on Graph Neural Networks, covering foundational concepts like graph theory, graph convolutional networks, graph attention networks, and GraphSAGE. It uses PyTorch Geometric as the primary deep learning framework. Materials include Jupyter notebooks paired with explanatory articles, progressing from introductory concepts to state-of-the-art architectures. The course targets learners seeking practical implementation experience with GNNs.
Frequently asked
- What is mlabonne/graph-neural-network-course?
- Free hands-on course teaching Graph Neural Networks with PyTorch Geometric through notebooks and articles.
- Is graph-neural-network-course open source?
- Yes — mlabonne/graph-neural-network-course is an open-source project tracked on heatdrop.
- What language is graph-neural-network-course written in?
- mlabonne/graph-neural-network-course is primarily written in Jupyter Notebook.
- How popular is graph-neural-network-course?
- mlabonne/graph-neural-network-course has 453 stars on GitHub.
- Where can I find graph-neural-network-course?
- mlabonne/graph-neural-network-course is on GitHub at https://github.com/mlabonne/graph-neural-network-course.