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Understanding Graph Neural Networks - Part 1

Prodramp via YouTube

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Overview

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This introductory tutorial covers graph fundamentals, graph mathematics, graph programming with NetworkX, and the basics of Graph Neural Networks. It also introduces PyTorch Geometric, graph datasets, graph visualization with yEd, and creating graphs in Python.

Syllabus

- Tutorial Introduction
- Part 1 Tutorial Content
- Part 2 Tutorial Content
- Resources & Acknowledgement
- Graph Data Use Cases
- Fundamentals of Graph
- Mathematics of Graph
- Coding Graph with NetworkX Library
- Neighbors in Graph
- Path_graph Type
- Directed Graph
- Adjacency Matrix
- MultiDirected Graph
- MultiEdge Attributes
- MultiGraph
- Sudoku Graph
- Grid Graph
- Graph Neural Networks GNN
- GNN + CNN = GCN
- PyG Introduction
- What is a Tensor?
- Datasets in PyG
- Graph View in yEd
- Create Graph in PyG
- Recap

Taught by

Prodramp

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