mlabonne/graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
This course teaches you how to build and understand Graph Neural Networks (GNNs) from the basics to advanced architectures. You'll go from learning graph theory essentials to implementing GNNs for tasks like classifying nodes in citation networks or entire graphs in protein datasets. This is for machine learning practitioners, researchers, and data scientists looking to expand their deep learning toolkit to handle complex, interconnected data.
436 stars. No commits in the last 6 months.
Use this if you want to learn how to apply deep learning to data structured as graphs, such as social networks, molecular structures, or citation networks.
Not ideal if you are looking for a plug-and-play solution or if you don't have a foundational understanding of deep learning and Python.
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Last pushed
Aug 19, 2023
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