在外部存储器中枚举常数大小的子图

Shiyuan Deng, Francesco Silvestri, Yufei Tao
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引用次数: 1

摘要

本文提出了一种子图枚举的不可分I/O效率算法,其目标是列出与具有k = O(1)个顶点的模式图Q同构的海量图G:= (V, E)的所有子图。我们的算法以高概率执行O (| E | k/ 2 M k/ 2−1 B log M/B | E | B + | E | ρ M ρ−1 B) I/O,其中ρ是覆盖Q的分数边数(无论Q如何,它总是保持ρ≥k/ 2), M是(内部)内存中的字数,B是磁盘块中的字数。对于ρ > k/ 2的所有模式图,我们的解在不可分算法中是最优的。当ρ = k/ 2时,对于任意常数ε > 0,只要M/B≥(| E | /B) ε,我们的算法仍然是最优的。2012 ACM学科分类计算理论→图算法分析;信息系统→联接算法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enumerating Subgraphs of Constant Sizes in External Memory
We present an indivisible I/O-efficient algorithm for subgraph enumeration , where the objective is to list all the subgraphs of a massive graph G := ( V, E ) that are isomorphic to a pattern graph Q having k = O (1) vertices. Our algorithm performs O ( | E | k/ 2 M k/ 2 − 1 B log M/B | E | B + | E | ρ M ρ − 1 B ) I/Os with high probability, where ρ is the fractional edge covering number of Q (it always holds ρ ≥ k/ 2, regardless of Q ), M is the number of words in (internal) memory, and B is the number of words in a disk block. Our solution is optimal in the class of indivisible algorithms for all pattern graphs with ρ > k/ 2. When ρ = k/ 2, our algorithm is still optimal as long as M/B ≥ ( | E | /B ) ϵ for any constant ϵ > 0. 2012 ACM Subject Classification Theory of computation → Graph algorithms analysis; Information systems → Join algorithms
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