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Solving maximum clique in sparse graphs: an O(nm + n2~(d/4)) algorithm for d-degenerate graphs

机译:解决稀疏图中的最大集团:d退化图的O(nm + n2〜(d / 4))算法

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We describe an algorithm for the maximum clique problem that is parameterized by the graph’s degeneracy d. The algorithm runs in O (nm + nT_d) time, where T_d is the time to solve themaximum clique problem in an arbitrary graph on d vertices. The best bound as of now is T_d = O(2~(d/4)) by Robson. This shows that the maximum clique problem is solvable in O(nm) time in graphs for which d ≤ 4 log_2 m + O(1). The analysis of the algorithm’s runtime is simple; the algorithm is easy to implement when given a subroutine for solving maximum clique in small graphs; it is easy to parallelize. In the case of Bianconi-Marsili power-law random graphs, it runs in 2~(O(n~(1/2))) time with high probability. We extend the approach for a graph invariant based on common neighbors, generating a second algorithm that has a smaller exponent at the cost of a larger polynomial factor.
机译:我们描述了一种用于最大派系问题的算法,该算法由图形的简并性d来参数化。该算法以O(nm + nT_d)的时间运行,其中T_d是求解d个顶点上任意图中的最大集团问题的时间。到目前为止,最佳界限是Robson的T_d = O(2〜(d / 4))。这表明在d≤4 log_2 m + O(1)的图中,最大的团簇问题可以在O(nm)时间内解决。算法运行时间的分析很简单;当给出用于解决小图中最大集团的子例程时,该算法易于实现;这很容易并行化。在Bianconi-Marsili幂律随机图的情况下,它在2〜(O(n〜(1/2)))时间内运行的可能性很高。我们扩展了基于公共邻域的图不变式的方法,从而以较大的多项式因子为代价,生成了指数较小的第二种算法。

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