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Maximal clique enumeration (MCE) is a fundamental problem in graph theory. It plays a vital role in many network analysis applications and in computational biology. MCE is an extensively studied problem. Recently, Eppstein et al. proposed a state-of-the-art sequential algorithm that uses degeneracy based ordering of vertices to improve the efficiency. In this paper, we propose a new parallel implementation...
The k-core of a graph is the largest induced subgraph with minimum degree k. The k-core decomposition is to find the core number of each vertex in a graph, which is the largest value of k that the vertex belongs to a k-core. k-core decomposition has applications in many areas including network analysis, computational biology and graph visualization. The primary reason for it being widely used is the...
In this paper we propose a parallel algorithm for the planted motif problem that arises in computational biology. A variety of algorithms have been proposed in the literature to solve this problem. The drawback of all these algorithms is that they have been designed to work on serial computers; and are not suitable for parallelization on current multicore architectures. We have implemented the proposed...
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