Geometric deep learning approach to knot theory

05/26/2023

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by   Lennart Jaretzki, et al.

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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.