6.7960 | Fall 2024 | Undergraduate, Graduate

Deep Learning

Lec 05. Architectures: Graphs

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.

Lecture Notes
Lecture Videos
Problem Sets
Projects with Examples
Readings