A Polynomial Time Iterative Algorithm for Matching Gaussian Matrices with Non-vanishing Correlation

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-22 DOI:10.1007/s10208-024-09662-x
Jian Ding, Zhangsong Li
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Abstract

Motivated by the problem of matching vertices in two correlated Erdős-Rényi graphs, we study the problem of matching two correlated Gaussian Wigner matrices. We propose an iterative matching algorithm, which succeeds in polynomial time as long as the correlation between the two Gaussian matrices does not vanish. Our result is the first polynomial time algorithm that solves a graph matching type of problem when the correlation is an arbitrarily small constant.

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匹配非相关性高斯矩阵的多项式时间迭代算法
受两个相关厄尔多斯-雷尼图中顶点匹配问题的启发,我们研究了两个相关高斯维格纳矩阵的匹配问题。我们提出了一种迭代匹配算法,只要两个高斯矩阵之间的相关性不消失,该算法就能在多项式时间内取得成功。我们的成果是第一个在相关性为任意小常数时解决图匹配类型问题的多项式时间算法。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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