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- Tutorial Introduction
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Classroom Contents
Understanding Graph Neural Networks - Part 1
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- 1 - Tutorial Introduction
- 2 - Part 1 Tutorial Content
- 3 - Part 2 Tutorial Content
- 4 - Resources & Acknowledgement
- 5 - Graph Data Use Cases
- 6 - Fundamentals of Graph
- 7 - Mathematics of Graph
- 8 - Coding Graph with NetworkX Library
- 9 - Neighbors in Graph
- 10 - Path_graph Type
- 11 - Directed Graph
- 12 - Adjacency Matrix
- 13 - MultiDirected Graph
- 14 - MultiEdge Attributes
- 15 - MultiGraph
- 16 - Sudoku Graph
- 17 - Grid Graph
- 18 - Graph Neural Networks GNN
- 19 - GNN + CNN = GCN
- 20 - PyG Introduction
- 21 - What is a Tensor?
- 22 - Datasets in PyG
- 23 - Graph View in yEd
- 24 - Create Graph in PyG
- 25 - Recap
