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Efficient Enumeration of Subgraphs and Induced Subgraphs with Bounded Girth

机译:高效枚举子图和涉及界长的诱导子图

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The girth of a graph is the length of its shortest cycle. Due to its relevance in graph theory, network analysis and practical fields such as distributed computing, girth-related problems have been object of attention in both past and recent literature. In this paper, we consider the problem of listing connected subgraphs with bounded girth. As a large girth is index of sparsity, this allows to extract sparse structures from the input graph. We propose two algorithms, for enumerating respectively vertex induced subgraphs and edge induced subgraphs with bounded girth, both running in O(n) amortized time per solution and using O(n~3) space. Furthermore, the algorithms can be easily adapted to relax the connectivity requirement and to deal with weighted graphs. As a byproduct, the second algorithm can be used to answer the well known question of finding the densest n-vertex graph(s) of girth k.
机译:图的周长是其最短循环的长度。由于其在图论中的相关性,网络分析和诸如分布式计算的实践领域,与过去和最近的文献中的关注有关的问题。在本文中,我们考虑用界长列出所连接的子图的问题。随着大的周长是稀疏性的指标,这允许从输入图中提取稀疏结构。我们提出了两种算法,用于分别具有界周长的顶点诱导的子图和边缘诱导的子图,既有界长,又在每种解决方案的O(n)摊销时间和使用O(n〜3)空间。此外,算法可以容易地适于放宽连接要求并处理加权图。作为副产品,第二算法可用于应答众所周知的查找周长k的最众名词图。

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