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Learning Hyperbolic Representations of Topological Features.

A new method to learn representations of persistence diagrams of hyperbolic spaces and specifically on the Poincare ball. The authors present experimental results on graph and image classification tasks and show that their method's performance is similar or better than state-of-the-art methods. Read the full paper at: https://arxiv.org/pdf/2103.09273.pdf

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