AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degrees from a distribution which is arbitrarily close to uniform. The algorithm is based on simulation of a rapidly convergent stochastic process, and runs in polynomial time for a wide class of degree sequences, including all regular sequences and all n-vertex sequences with no degree exceeding √n/2. The algorithm can be extended to cover the selection of a graph with given degree sequence which avoids a specified set of edges. One consequence of this extension is the existence of a polynomial-time algorithm for selecting an f-factor in a sufficiently dense graph. A companion algorithm for counting degree-constrained graphs is also presented; t...
Let A = (a1, a2, ..., an) be a degree sequence of a simple bipartite graph. We present an algorithm ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component i...
Graphs are combinatorial objects commonly used to model relationships between pairs of entities. Hyp...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
We address here the problem of generating random graphs uniformly from the set of simple connected g...
We present the fastest FPRAS for counting and randomly generating simple graphs with a given degree ...
We propose a near-linear complexity algorithm for generating simple directed random graphs with a gi...
International audienceWe address here the problem of generating random graphs uniformly from the set...
Random regular graphs play a central role in combinatorics and theoretical computer science. In this...
Volchenkov D, Blanchard P. An algorithm generating random graphs with power law degree distributions...
We present a practical algorithm for generating random regular graphs. For all d growing as a small ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component i...
We describe several RNC algorithms for generating graphs and subgraphs uniformly at random. For exam...
We consider the problem of recovering a planted partition (e.g., a small bisection or a large cut) f...
Random graphs with a given degree sequence are a useful model capturing several features absent in t...
Let A = (a1, a2, ..., an) be a degree sequence of a simple bipartite graph. We present an algorithm ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component i...
Graphs are combinatorial objects commonly used to model relationships between pairs of entities. Hyp...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
We address here the problem of generating random graphs uniformly from the set of simple connected g...
We present the fastest FPRAS for counting and randomly generating simple graphs with a given degree ...
We propose a near-linear complexity algorithm for generating simple directed random graphs with a gi...
International audienceWe address here the problem of generating random graphs uniformly from the set...
Random regular graphs play a central role in combinatorics and theoretical computer science. In this...
Volchenkov D, Blanchard P. An algorithm generating random graphs with power law degree distributions...
We present a practical algorithm for generating random regular graphs. For all d growing as a small ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component i...
We describe several RNC algorithms for generating graphs and subgraphs uniformly at random. For exam...
We consider the problem of recovering a planted partition (e.g., a small bisection or a large cut) f...
Random graphs with a given degree sequence are a useful model capturing several features absent in t...
Let A = (a1, a2, ..., an) be a degree sequence of a simple bipartite graph. We present an algorithm ...
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component i...
Graphs are combinatorial objects commonly used to model relationships between pairs of entities. Hyp...