We congratulate the authors for a nice contribution to the literature on model selection and assessment for complex network data. The article of Li et al. (2020) enriches the collection of tools available for network data analysis, bringing together different fields such as low-rank matrix estimation, cross-validation and network modelling. This discussion will focus on the |$V$|-fold variant of the edge sampling cross-validation method and its combination with other recently developed cross-validation methods and network models.

中文翻译：

---

讨论“通过边缘采样进行网络交叉验证”

我们祝贺作者为有关复杂网络数据的模型选择和评估的文献做出了出色的贡献。李等人的文章。（2020年）丰富了可用于网络数据分析的工具的集合，将低秩矩阵估计，交叉验证和网络建模等不同领域结合在一起。讨论将集中于| $ V $ |。边缘采样交叉验证方法的三重变体，以及与其他最近开发的交叉验证方法和网络模型的组合。