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An Efficient Triangle Enumeration on Parallel and Distributed Frameworks

机译:并行和分布式框架的高效三角枚举

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Triangle enumerating problem is one of fundamental problems of graph data. Although several triangle enumerating algorithms based on MapReduce which is a distributed parallel framework have been proposed, they still suffer from generating a lot of intermediate data. In this paper, we propose an efficient algorithm to enumerate every triangle in massive graph. A wedge consists of a cone vertex and two end-nodes having one pass through the cone vertex. Since a triangle is composed of one edge and one wedge, our algorithm checks the existence of an edge that is incident to two end-nodes in each wedge. We partition vertex set into several partial vertex sets to prevent generating numerous wedges. Our experimental evaluation shows the performance of proposed algorithm is better than competitors.
机译:三角形枚举问题是图形数据的基本问题之一。尽管已经提出了几种基于MapReduce的三角形枚举算法,该算法是分布式并行框架,但它们仍然会产生大量中间数据。在本文中,我们提出了一种有效的算法来枚举大量图中的每个三角形。楔形由一个圆锥顶点和两个端节点组成,两个端节点有一个通过圆锥顶点。由于三角形由一个边和一个楔形组成,因此我们的算法检查是否存在入射到每个楔形中两个末端节点的边。我们将顶点集划分为几个部分顶点集,以防止生成大量的楔形。我们的实验评估表明,所提出算法的性能优于竞争对手。

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