activity
20062023
most citedToward more localized local algorithms: removing assumptions concerning global knowledge

34 citations · 86 across the 21 of their papers we have counts for

collaborators

26 papers

cs.DS2023

A Note on the Complexity of Maximizing Temporal Reachability via Edge Temporalisation of Directed Graphs

Alkida Balliu, Filippo Brunelli, Pierluigi Crescenzi +2

A temporal graph is a graph in which edges are assigned a time label. Two nodes u and v of a temporal graph are connected one to the other if there exists a path from u to v with i…

math.CO2023

Temporalizing digraphs via linear-size balanced bi-trees

Stéphane Bessy, Stéphan Thomassé, Laurent Viennot

In a directed graph on vertex set , a \emph{forward arc} is an arc where . A pair is \emph{forward connected} if there is a directed pat…

cs.DS2023

Forbidden Patterns in Temporal Graphs Resulting from Encounters in a Corridor

Mónika Csikós, Michel Habib, Minh-Hang Nguyen +2

In this paper, we study temporal graphs arising from mobility models, where vertices correspond to agents moving in space and edges appear each time two agents meet. We propose a r…

cs.DC2023

Breadth-First Depth-Next: Optimal Collaborative Exploration of Trees with Low Diameter

Romain Cosson, Laurent Massoulié, Laurent Viennot

We consider the problem of collaborative tree exploration posed by Fraigniaud, Gasieniec, Kowalski, and Pelc where a team of agents is tasked to collectively go through all the…

cs.DS2022★ 1 cited

Minimum-Cost Temporal Walks under Waiting-Time Constraints in Linear Time

Filippo Brunelli, Laurent Viennot

In a temporal graph, each edge is available at specific points in time. Such an availability point is often represented by a ''temporal edge'' that can be traversed from its tail o…

math.PR2022

Revisiting the Random Subset Sum problem

Arthur da Cunha, Francesco d'Amore, Frédéric Giroire +3

The average properties of the well-known Subset Sum Problem can be studied by the means of its randomised version, where we are given a target value , random variables $X_1, \ld…