The Weisfeiler--Leman algorithm is a ubiquitous tool for the Graph Isomorphism Problem with various characterisations in e.g. descriptive complexity and convex optimisation. It is known that graphs that are not distinguished by the two-dimensional variant have cospectral adjacency matrices. We tackle a converse problem by proposing a set of matrices called Generalised Laplacians that characterises the expressiveness of WL in terms of spectra. As an application to random walks, we show using Generalised Laplacians that the edge colours produced by 2-WL determine commute distances.
翻译:Weisfeiler-Leman算法是图形形态问题无处不在的工具,具有描述性复杂性和 convex优化等不同特征。已知未被二维变量区分的图表有共光谱相邻矩阵。我们通过提出一套称为通用拉方基的矩阵来应对一个反向问题,该矩阵以光谱为特征描述WL的表达性。作为随机行走的一种应用,我们用通用拉方卡仪显示,由2-WL生成的边缘颜色决定通勤距离。