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Geometric deep learning approach to knot theory

2023-05-26Code Available0· sign in to hype

Lennart Jaretzki

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Abstract

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.

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