一个快速的多尺度特征向量计算,用于绘制巨大的图形

Y. Koren, L. Carmel, D. Harel
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引用次数: 159

摘要

我们提出了一个非常快速的图形绘制算法,我们称之为ACE(特征向量的代数多网格计算)。ACE比我们所知道的最快的算法提高了两个数量级;它在不到一分钟的时间内绘制了数百万个节点的图。ACE通过最小化二次能量函数来找到最优的绘图。将最小化问题表示为广义特征值问题,采用一种新的代数多重网格技术快速求解。同样的广义特征值问题似乎也出现在其他领域,因此ACE似乎也适用于图形绘制以外的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ACE: a fast multiscale eigenvectors computation for drawing huge graphs
We present an extremely fast graph drawing algorithm for very large graphs, which we term ACE (for Algebraic multigrid Computation of Eigenvectors). ACE exhibits an improvement of something like two orders of magnitude over the fastest algorithms we are aware of; it draws graphs of millions of nodes in less than a minute. ACE finds an optimal drawing by minimizing a quadratic energy function. The minimization problem is expressed as a generalized eigenvalue problem, which is rapidly solved using a novel algebraic multigrid technique. The same generalized eigenvalue problem seems to come up also in other fields, hence ACE appears to be applicable outside of graph drawing too.
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