Exercise 5 - Geometric Deep Learning

Exercise 5 - Geometric Deep Learning

In this exercise you will get familiar with how to leverage concepts from graphs and machine learning to make your algorithm learn something about molecules

As part of this exercise, you will be asked to read through a notebook and answer some questions. The notebook is available here. You will learn how to use PyTorch Geometric to implement the message passing framework we discussed in the lecture, and see how you can apply these principles to molecules.

Credits

Image was taken from the GNN 101 notebook by Chaintaya Joshi.