activity
20172025
most citedAs Time Goes By: Reflections on Treewidth for Temporal Graphs

7 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing cs.DSShow all

12 papers · 1 filter

cs.DS2025

Temporal Graph Realization With Bounded Stretch

George B. Mertzios, Hendrik Molter, Nils Morawietz +1

A periodic temporal graph, in its simplest form, is a graph in which every edge appears exactly once in the first time steps, and then it reappears recurrently every time s…

cs.DS2024

Realizing temporal transportation trees

George B. Mertzios, Hendrik Molter, Nils Morawietz +1

In this paper, we study the complexity of the periodic temporal graph realization problem with respect to upper bounds on the fastest path durations among its vertices. This constr…

cs.DS2022

The complexity of computing optimum labelings for temporal connectivity

Nina Klobas, George B. Mertzios, Hendrik Molter +1

A graph is temporally connected if there exists a strict temporal path, i.e. a path whose edges have strictly increasing labels, from every vertex to every other vertex . In…

cs.DS2022

Delay-Robust Routes in Temporal Graphs

Eugen Füchsle, Hendrik Molter, Rolf Niedermeier +1

Most transportation networks are inherently temporal: Connections (e.g. flights, train runs) are only available at certain, scheduled times. When transporting passengers or commodi…

cs.DS2022

Temporal Connectivity: Coping with Foreseen and Unforeseen Delays

Eugen Füchsle, Hendrik Molter, Rolf Niedermeier +1

Consider planning a trip in a train network. In contrast to, say, a road network, the edges are temporal, i.e., they are only available at certain times. Another important difficul…

cs.DS2021

Towards Classifying the Polynomial-Time Solvability of Temporal Betweenness Centrality

Maciej Rymar, Hendrik Molter, André Nichterlein +1

In static graphs, the betweenness centrality of a graph vertex measures how many times this vertex is part of a shortest path between any two graph vertices. Betweenness centrality…