基于识别矩阵的并行图同构检测

Lin Chen
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引用次数: 4

摘要

本文研究了识别矩阵的一些性质,并展示了识别矩阵在图同构问题中的一些应用,这是一个众所周知的长期开放问题。我们证明了,给定两个m/spl乘/n标识矩阵,按照一定的关系表示两个图,对于常数c,如果m/spl乘/(n-c)子矩阵满足连续/循环1的性质,则可以有效地并行判定同构。本文给出的结果极大地扩展了已知有效并行同构测试算法的图的类别
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel graph isomorphism detection with identification matrices
In this paper, we investigate some properties of identification matrices and exhibit some uses of identification matrices in studying the graph isomorphism problem, a well-known long-standing open problem. We show that, given two m/spl times/n identification matrices representing two graphs according to a certain relation, isomorphism can be decided efficiently in parallel if an m/spl times/(n-c) submatrix, for a constant c, satisfies the consecutive/circular 1's property. The result presented here significantly broadens the class of graphs for which there are known efficient parallel isomorphism testing algorithms.<>
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