Let F = {I_1, I_2, ..., I_n} be a finite family of closed intervals on the real line. For two distinct intervals I_j and I_k in F, we say that I_j and I_k overlap with each other if they interact with each other but neither one of them contains the other. A graph G = (V, E) is called an overlap graph for F if there is a one-to-one correspondence between V and F such that two vertices in V are adjacent to each other if and only if the corresponding two intervals in F overlap with each other. In this paper, we present two efficient algorithms for finding maximum cliques of an overlap graph when the graph is given in the form of a family of intervals. The first algorithm finds a maximum clique in O time, where n , m are the numbers of vertices...
International audienceEPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection graph...
Abstract. Finding the maximum clique is a known NP-Complete problem and it is also hard to approxima...
AbstractThe problem of enumerating the maximal cliques of a graph is a computationally expensive pro...
Within a study of scheduling problems with gaps, Chrobak et al. (CIAC 2015) have shown how to find k...
AbstractLet χ(G) and ω(G) denote the chromatic number and clique number of a graph G. We prove that ...
AbstractWe introduce overlap cluster graph modification problems where, other than in most previous ...
We introduce overlap cluster graph modification problems where, other than in most previous work, th...
INTRODUCTION Let G = (V; E) be an undirected graph, where V = f1; \Delta \Delta \Delta ; ng is the ...
Let R be a family of iso-oriented rectangles in the plane. A graph G = (V, E) is called a rectangle ...
The intersection number of a graph G is the minimum size of a set S such that G is an intersection g...
Given a graph G = (V, E), we consider the problem to find a set of D pairwise disjoint cliques in i...
We propose a dynamic programming procedure for computing the clique of maximum weight on a class of ...
Recent advances in computer vision, information retrieval, and molecular biology amply demonstrate t...
AbstractGiven a graph, in the maximum clique problem, one desires to find the largest number of vert...
International audienceTwo combinatorial maps M1 and M2 overlap if they share a sub-map, called an ov...
International audienceEPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection graph...
Abstract. Finding the maximum clique is a known NP-Complete problem and it is also hard to approxima...
AbstractThe problem of enumerating the maximal cliques of a graph is a computationally expensive pro...
Within a study of scheduling problems with gaps, Chrobak et al. (CIAC 2015) have shown how to find k...
AbstractLet χ(G) and ω(G) denote the chromatic number and clique number of a graph G. We prove that ...
AbstractWe introduce overlap cluster graph modification problems where, other than in most previous ...
We introduce overlap cluster graph modification problems where, other than in most previous work, th...
INTRODUCTION Let G = (V; E) be an undirected graph, where V = f1; \Delta \Delta \Delta ; ng is the ...
Let R be a family of iso-oriented rectangles in the plane. A graph G = (V, E) is called a rectangle ...
The intersection number of a graph G is the minimum size of a set S such that G is an intersection g...
Given a graph G = (V, E), we consider the problem to find a set of D pairwise disjoint cliques in i...
We propose a dynamic programming procedure for computing the clique of maximum weight on a class of ...
Recent advances in computer vision, information retrieval, and molecular biology amply demonstrate t...
AbstractGiven a graph, in the maximum clique problem, one desires to find the largest number of vert...
International audienceTwo combinatorial maps M1 and M2 overlap if they share a sub-map, called an ov...
International audienceEPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection graph...
Abstract. Finding the maximum clique is a known NP-Complete problem and it is also hard to approxima...
AbstractThe problem of enumerating the maximal cliques of a graph is a computationally expensive pro...