In this paper, we present a new metric distance for comparing two large graphs to find similarities and differences between them based on one of the most important graph structural properties, which is Node Adjacency Information, for all vertices in the graph. Then, we defined a new function and some parameters to find the distance of two large graphs using different neighbors of vertices. There are some methods which they focused on the other features of graphs to obtain the distance between them, but some of them are Node Correspondence which means their node set have the same size. However, in this paper, we introduce a new method which can find the distance between two large graphs with different size of node set.
翻译:在本文中,我们展示了一个新的衡量距离,用于比较两个大图,以根据最重要的图表结构属性之一,即节点相邻信息,找出它们之间的异同。然后,我们定义了一个新的函数和一些参数,以使用不同的顶点周围找到两个大图的距离。有些方法它们侧重于图形的其他特征,以获得它们之间的距离,但有些方法是节点对应,这意味着它们的节点设置大小相同。然而,在本文件中,我们引入了一种新的方法,可以找到两个不同节点大小的大图之间的距离。