In this paper we present methods for downsampling datasets defined on graphs (i.e., graph-signals) by extending downsampling results for traditional N-dimensional signals. In par...
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
Background: Standard graphs, where each edge links two nodes, have been extensively used to represent the connectivity of metabolic networks. It is based on this representation th...
We propose an architecture that consists of a ring of clusters for distributed mutual exclusion algorithms in mobile networks. The mobile network is partitioned into a number of cl...
LMNtal (pronounced “elemental”) is a simple language model based on graph rewriting that uses logical variables to represent links and membranes to represent hierarchies. The ...