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.

翻译：本文介绍了在ICML 2023拓扑与几何机器学习研讨会上举办的拓扑深度学习计算挑战赛。该竞赛要求参赛者通过为Python包TopoNetX（数据处理）和TopoModelX（深度学习）贡献代码，提供文献中拓扑神经网络的开源实现。在为期两个月的赛程中，该挑战赛共吸引了28份合格参赛作品。本文阐述了挑战赛的设计方案，并总结了主要研究成果。