TL;DR我们提出了一种新的深度图级聚类方法 Uniform Deep Graph Clustering(UDGC),通过将实例均匀分配到不同的聚类中心并在单位超球面上散布这些聚类,从而实现了更均匀的聚类级分布和较小的聚类崩溃问题。我们在八个著名数据集上的实证研究显示,UDGC明显优于现有的模型。
Abstract
graph clustering has been popularly studied in recent years. However, most existing graph clustering methods focus on node-level clustering, i.e., grouping nodes in a single graph into clusters. In contrast,