Scroll below for tutorials, datasets, and exploring invariances for causal extrapolations.

## G-Invariant Neural Networks:

A complete beginner's guide with step-by-step examples

In this step-by-step tutorial we introduce the mathematical foundations of the most common type of group-invariant representation learning. Examples include learning invariant representations of **graphs** and **images**.