Lec 05. Architectures: Graphs

Name: Lec 05. Architectures: Graphs
Uploaded: 2026-02-11T14:40:01Z
Duration: 1 h 21 min 14 s
Description: This lecture covers graph neural networks (GNNs), showing connections to MLPs and CNNs and message-passing algorithms. We will also discuss theoretical limitations on the expressive power of GNNs, and the practical implications of this.

1:21:14

Up Next

Lec 06. Generalization Theory

Continue

This lecture covers graph neural networks (GNNs), showing connections to MLPs and CNNs and message-passing algorithms. We will also discuss theoretical limitations on the expressive power of GNNs, and the practical implications of this.