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A Parallel Algorithm for Enumerating All the Maximal k-Plexes

机译:枚举所有最大k像素的并行算法

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摘要

Finding and enumerating subgraphs of different structures in a graph or a network is one of the fundamental problems in combinatorics. One of the earliest subgraph models is clique. However, the clique approach has been criticized for its overly restrictive nature. k-plex is one of the models which are introduced by weakening the requirement of clique. The problem to enumerate all the maximal k-plexes is NP complete. We consider this problem and propose an algorithm Pemp (Parallel Enumeration of all Maximal k-Plexes) for enumerating all the maximal k-plexes. We also propose a strategy to accelerate the pruning. A diameter pruning strategy is proposed. This strategy reduces the number of small maximal k-plexes and improves the performance greatly. We also state the parallel edition of our algorithm to analysis large networks and a load balancing strategy is given. In addition, we evaluate the performance of Pemp on random graphs.
机译:在图或网络中查找和枚举不同结构的子图是组合技术的基本问题之一。最早的子图模型之一是集团。然而,集团方法由于过于严格的性质而受到批评。 k-plex是通过削弱群体需求而引入的模型之一。枚举所有最大k重的问题是NP完全的。我们考虑这个问题,并提出了一种算法Pemp(所有最大k像素的并行枚举),用于枚举所有最大k多重。我们还提出了加速修剪的策略。提出了一种直径修剪策略。这种策略减少了最大的k复数的数量,并极大地提高了性能。我们还陈述了算法的并行版本来分析大型网络,并给出了负载平衡策略。此外,我们在随机图上评估Pemp的性能。

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