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Introduction to Graph Neural Networks
Theory
Neural Message Passing (21:45)
Permutation Symmetries (24:43)
Graph Isomorphism (16:36)
How Powerful are Graph Neural Networks? (24:33)
The Graph Laplacian (33:40)
Fourier Transforms, Wavelets and Convolutions on Graphs (31:14)
The Math of Graph Convolutional Networks (15:51)
Getting started with Hands-On Section
Welcome and Introduction
BONUS: How to transform tabular data into a graph (webinar)
[The remaining Hands-On lectures will be released according to the class schedule]
BONUS: Author Interviews
Introduction
How DeepMind learns physics simulators with Graph Networks (35:33)
How Uber uses Graph Neural Networks to recommend you food (54:00)
Equivariant Subgraph Aggregation Networks (70:05)
Scaling Graph Neural Networks to Twitter-scale (56:55)
Knowledge Graphs for Drug Repurposing (74:58)
BONUS: How to transform tabular data into a graph (webinar)
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