Graph Transformer是一种将Transformer架构应用于图结构数据的特殊神经网络模型。该模型通过融合图神经网络(GNNs)的基本原理与Transformer的自注意力机制，实现了对图中节点间关系信息的处理与长程依赖关系的有效捕获。 Graph Transformer的技术优势 在处理图结构数据任务 ...

Let G be a graph, A(G) be the adjacency matrix of G, and λ(G) the least eigenvalue of A(G). Information is given about the following three quantities: $\lambda_R(G ...

Carpathian Journal of Mathematics, Vol. 39, No. 1 (2023), pp. 213-230 (18 pages) The normalized distance Laplacian matrix of a connected graph G, denoted by D𝓛(G), is defined by D𝓛(G) = ...