The paper investigates the synchronization of a network of identical linear state-space models under a possibly time-varying and directed interconnection structure. The main resul...
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
We propose a model for the World Wide Web graph that couples the topological growth with the traffic's dynamical evolution. The model is based on a simple traffic-driven dynam...
Alain Barrat, Marc Barthelemy, Alessandro Vespigna...
— We propose a unifying framework for max-min fairness in orthogonal networks and networks with interference. First, a universal formulation of the max-min fairness problem for o...
Marcin Wiczanowski, Holger Boche, Slawomir Stancza...
The title of this paper, besides being a pun, can be taken to mean either the frontier of research in graph transformation, or the advantage of using graph transformation. To focus...