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Distributed Maximal Clique Computation
"... Abstract—Maximal cliques are important substructures in graph analysis. Many algorithms for computing maximal cliques have been proposed in the literature; however, most of them are sequential algorithms that cannot scale due to the high complexity of the problem, while existing parallel algorithms ..."
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Abstract—Maximal cliques are important substructures in graph analysis. Many algorithms for computing maximal cliques have been proposed in the literature; however, most of them are sequential algorithms that cannot scale due to the high complexity of the problem, while existing parallel algorithms
INVARIANT MAXIMAL CLIQUES AND INCOMPLETENESS
, 2011
"... The Invariant Maximal Clique Theorem asserts that every graph on Q[0,n] k with a specific invariance condition has a maximal clique with another specific invariance condition. Here Q[0,n] consists of the rationals in the interval [0,n]. The invariance conditions are all given by equivalence relati ..."
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The Invariant Maximal Clique Theorem asserts that every graph on Q[0,n] k with a specific invariance condition has a maximal clique with another specific invariance condition. Here Q[0,n] consists of the rationals in the interval [0,n]. The invariance conditions are all given by equivalence
Distributed Maximal Clique Computation and Management
"... Abstract—Maximal cliques are elementary substructures in a graph and instrumental in graph analysis such as the structural analysis of many complex networks, graph clustering and community detection, network hierarchy detection, emerging pattern mining, vertex importance measures, etc. However, the ..."
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Abstract—Maximal cliques are elementary substructures in a graph and instrumental in graph analysis such as the structural analysis of many complex networks, graph clustering and community detection, network hierarchy detection, emerging pattern mining, vertex importance measures, etc. However
Finding maximal cliques in massive networks
 ACM Trans. Database Syst
"... Maximal clique enumeration is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The problem is extensively studied; however, the best existing algorithms require memory space linear in the size of the input graph. T ..."
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Cited by 13 (5 self)
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Maximal clique enumeration is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The problem is extensively studied; however, the best existing algorithms require memory space linear in the size of the input graph
ON CHARACTERIZING WEAKLY MAXIMAL CLIQUE IRREDUCIBLE GRAPHS
"... Abstract. The maximal clique that contains an edge which is not contained in any other maximal cliques is called essential. A graph in which each maximal clique is essential, or equivalently the set of all maximal cliques is a set of least number of maximal cliques that contains every edge, is said ..."
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Abstract. The maximal clique that contains an edge which is not contained in any other maximal cliques is called essential. A graph in which each maximal clique is essential, or equivalently the set of all maximal cliques is a set of least number of maximal cliques that contains every edge
Stereo correspondence through feature grouping and maximal cliques
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1989
"... AbstractIn this paper we propose a method to solve the stereo correspondence problem. The method matches features and feature relationships and can be paraphrased as follows. Linear edge segments are extracted from both the left and right images. Each such segment is characterized by its position ..."
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Cited by 115 (0 self)
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. Arcs in this graph represent compatible assignments established on the basis of segment relationships. Stereo matching becomes equivalent to searching for sets of mutually compatible nodes in this graph. These sets are found by looking for maximal cliques. The maximal clique the best suited to rep
Extracting Of All Maximal Cliques: Monotone System Approach
, 1995
"... NPcomplicated problems have been described in the graph theory. An example is the extracting of all maximal cliques from a graph. Many algorithms for solving this problem have been described. However, complexity is linear to the number of maximal cliques. This paper discusses a new approach for ext ..."
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Cited by 5 (3 self)
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NPcomplicated problems have been described in the graph theory. An example is the extracting of all maximal cliques from a graph. Many algorithms for solving this problem have been described. However, complexity is linear to the number of maximal cliques. This paper discusses a new approach
Finding all maximal cliques in dynamic graphs
 Computational Optimization Appl
"... Clustering applications dealing with perception based or biased data lead to models with nondisjunct clusters. There, objects to be clustered are allowed to belong to several clusters at the same time which results in a fuzzy clustering. It can be shown that this is equivalent to searching all maxi ..."
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Cited by 19 (1 self)
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maximal cliques in dynamic graphs like Gt = (V;Et), where Et¡1 Et; t = 1; : : : ; T;E0 = Á. In this article algorithms are provided to track all maximal cliques in a fully dynamic graph. It is naturally to raise the question about the maximum clique, having all maximal cliques. Therefore this article
Large Maximal Cliques Enumeration in Large Sparse Graphs
"... Identifying communities in social networks is a problem of great interest. One popular type of community is where every member of the community knows all others, which can be viewed as a clique in the graph representing the social network. In several real life situations, finding small cliques may n ..."
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Cited by 2 (0 self)
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not be interesting as they are large in number and low in information content. Hence, in this paper, we propose a variant of maximal clique enumeration problem where we try to enumerate only large maximal cliques. We describe a novel preprocessing technique to reduce the graph size before enumerating the large
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