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Hypo-elliptic Diffusions on Graphs

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SSDW05 - Modelling and Applications of Anomalous Diffusions

Constructing a structured description of a graph is a classic problem in machine learning. In this talk I revisit the use of random walks on graphs to construct such descriptions. By lifting the walk to walk in a group, one can construct a signature-like description of a graph. Joint work with Darrick Lee and Celia Hacker.

This talk is part of the Isaac Newton Institute Seminar Series series.

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