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MLG: Machine Learning with Graphs
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Контролна табла
MLG
Graph neural networks
Graph neural networks
Section outline
Select activity Lectures
Lectures
Select activity 11. Basics of deep learning
11. Basics of deep learning
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Select activity 12. Graph neural networks (GNNs)
12. Graph neural networks (GNNs)
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Select activity 13. Standard architectures of GNNs
13. Standard architectures of GNNs
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Select activity 14. Design space for GNNs
14. Design space for GNNs
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Select activity 15. GNN training in practice
15. GNN training in practice
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Select activity Notebooks
Notebooks
Select activity c. Tutorial on PyG library
c. Tutorial on PyG library
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Select activity vii. Standard architectures of GNNs
vii. Standard architectures of GNNs
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Select activity viii. Pajek file → NetworkX graph → PyG data
viii. Pajek file → NetworkX graph → PyG data
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Select activity ix. Node feature augmentation for GNNs
ix. Node feature augmentation for GNNs
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Select activity x. Message passing framework for GNNs
x. Message passing framework for GNNs
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