Paper ID: 2305.16808

Geometric deep learning approach to knot theory

Lennart Jaretzki

In this paper, we introduce a novel way to use geometric deep learning for knot data by constructing a functor that takes knots to graphs and using graph neural networks. We will attempt to predict several knot invariants with this approach. This approach demonstrates high generalization capabilities.

Submitted: May 26, 2023