Machine Learning on Spherical Manifold [R]

Hi, I'm interested in geometric deep learning (due to Michael M. Bronstein's book and Maurice Weiler's PhD thesis), and in order not to write projects to nowhere, I decided to keep a technical blog. I started with a short note about machine learning on spherical manifolds, but it's a pretty simple thing.

Is there a list of some open problems on the topic of GDL, or maybe some of you are doing something in this direction and can suggest which GDL problems are relevant in the research community.