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Introduction
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Classroom Contents
Graph Neural Networks- A Gentle Introduction
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- 1 Introduction
- 2 Why graphs
- 3 What is a graph
- 4 Common graph tasks
- 5 Representation of a graph
- 6 - How does a GNN work?
- 7 - Understanding information propagation
- 8 - Key property: Permutation Invariance
- 9 - Key property: Permutation Equivariance
- 10 - Message passing computation
- 11 - GNN Variant: Convolution
- 12 - GNN Variant: Attention
- 13 - Ending
