This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two-month duration. This paper describes the design of the challenge and summarizes its main findings.

这篇论文概述了在ICML 2023《拓扑与几何在机器学习中的应用》研讨会中举办的拓扑深度学习的计算挑战，并描述了挑战的设计和主要发现。

ICML 2023 拓扑深度学习挑战：设计与结果