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This paper presents the computational challenge on topological deep learningthat was hosted within the ICML 2023 Workshop on Topology and Geometry inMachine Learning. The competition asked participants to provide open-sourceimplementations of topological neural networks from the literature bycontributing to the python packages TopoNetX (data processing) and TopoModelX(deep learning). The challenge attracted twenty-eight qualifying submissions inits two-month duration. This paper describes the design of the challenge andsummarizes its main findings.

ICML 2023 Topological Deep Learning Challenge : Design and Results