16 citations · 68 across the 12 of their papers we have counts for
4 papers · 1 filter
Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Network flow problems, which involve distributing traffic such that the underlying infrastructure is used effectively, are ubiquitous in transportation and logistics. Among them, t…
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes +1
A key problem in network theory is how to reconfigure a graph in order to optimize a quantifiable objective. Given the ubiquity of networked systems, such work has broad practical…
Goal-directed graph construction using reinforcement learning
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Graphs can be used to represent and reason about systems and a variety of metrics have been devised to quantify their global characteristics. However, little is currently known abo…
Online Collective Animal Movement Activity Recognition
Kehinde Owoeye, Stephen Hailes
Learning the activities of animals is important for the purpose of monitoring their welfare vis a vis their behaviour with respect to their environment and conspecifics. While prev…