Skip to main content
Side panel
Home
Calendar
More
English (en)
English (en)
Slovenščina (sl)
Македонски (mk)
Русский (ru)
한국어 (ko)
You are currently using guest access
Log in
Home
Calendar
MLG: Machine Learning with Graphs
Expand all
Collapse all
Open course index
Dashboard
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
File
Select activity 12. Graph neural networks (GNNs)
12. Graph neural networks (GNNs)
File
Select activity 13. Standard architectures of GNNs
13. Standard architectures of GNNs
File
Select activity 14. Design space for GNNs
14. Design space for GNNs
File
Select activity 15. GNN training in practice
15. GNN training in practice
File
Select activity Notebooks
Notebooks
Select activity c. Tutorial on PyG library
c. Tutorial on PyG library
File
Select activity vii. Standard architectures of GNNs
vii. Standard architectures of GNNs
File
Select activity viii. Pajek file → NetworkX graph → PyG data
viii. Pajek file → NetworkX graph → PyG data
Select activity ix. Node feature augmentation for GNNs
ix. Node feature augmentation for GNNs
File
Select activity x. Message passing framework for GNNs
x. Message passing framework for GNNs
File
