activity
20162025
most citedThe parameterized complexity of finding secluded solutions to some classical optimization problems on graphs

9 citations · 47 across the 26 of their papers we have counts for

collaborators

40 papers

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.DS2023

Realizing temporal graphs from fastest travel times

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

In this paper we initiate the study of the temporal graph realization problem with respect to the fastest path durations among its vertices, while we focus on periodic temporal gra…

cs.DS2023

In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?

Pascal Kunz, Hendrik Molter, Meirav Zehavi

A temporal graph has an edge set that may change over discrete time steps, and a temporal path (or walk) must traverse edges that appear at increasing time steps. Accordingly, two…

cs.CC2022

Hardness of Interval Scheduling on Unrelated Machines

Danny Hermelin, Yuval Itzhaki, Hendrik Molter +1

We provide new (parameterized) computational hardness results for Interval Scheduling on Unrelated Machines. It is a classical scheduling problem motivated from just-in-time or lea…

cs.DS2022

Counting Temporal Paths

Jessica Enright, Kitty Meeks, Hendrik Molter

The betweenness centrality of a vertex v is an important centrality measure that quantifies how many optimal paths between pairs of other vertices visit v. Computing betweenness ce…

cs.DS2022★ 1 cited

Minimizing the Weighted Number of Tardy Jobs via (max,+)-Convolutions

Danny Hermelin, Hendrik Molter, Dvir Shabtay

The problem asks to determine -- given jobs each with its own processing time, weight, and due date -- the minimum weighted number of tardy jobs in any s…

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★ 1 cited

Fairness in Repetitive Scheduling

Danny Hermelin, Hendrik Molter, Rolf Niedermeier +2

Recent research found that fairness plays a key role in customer satisfaction. Therefore, many manufacturing and services industries have become aware of the need to treat customer…

cs.DS2021

Temporal Interval Cliques and Independent Sets

Danny Hermelin, Yuval Itzhaki, Hendrik Molter +1

Temporal graphs have been recently introduced to model changes to a given network that occur throughout a fixed period of time. The Temporal Clique problem, that generalizes th…

cs.CC2021

The Complexity of Finding Temporal Separators under Waiting Time Constraints

Hendrik Molter

In this work, we investigate the computational complexity of Restless Temporal -Separation, where we are asked whether it is possible to destroy all restless temporal paths…

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…

cs.DM2021

On Finding Separators in Temporal Split and Permutation Graphs

Nicolas Maack, Hendrik Molter, Rolf Niedermeier +1

Removing all connections between two vertices s and z in a graph by removing a minimum number of vertices is a fundamental problem in algorithmic graph theory. This (s,z)-separatio…

cs.DS2021

Interference-free Walks in Time: Temporally Disjoint Paths

Nina Klobas, George B. Mertzios, Hendrik Molter +2

We investigate the computational complexity of finding temporally disjoint paths or walks in temporal graphs. There, the edge set changes over discrete time steps and a temporal pa…

cs.DS2021★ 2 cited

Temporal Reachability Minimization: Delaying vs. Deleting

Hendrik Molter, Malte Renken, Philipp Zschoche

We study spreading processes in temporal graphs, i. e., graphs whose connections change over time. These processes naturally model real-world phenomena such as infectious diseases…

cs.DS2021★ 3 cited

The Complexity of Transitively Orienting Temporal Graphs

George B. Mertzios, Hendrik Molter, Malte Renken +2

In a temporal network with discrete time-labels on its edges, entities and information can only ``flow'' along sequences of edges whose time-labels are non-decreasing (resp. increa…

cs.DM2020

Equitable Scheduling on a Single Machine

Klaus Heeger, Danny Hermelin, George B. Mertzios +3

We introduce a natural but seemingly yet unstudied generalization of the problem of scheduling jobs on a single machine so as to minimize the number of tardy jobs. Our generalizati…

cs.DS2020★ 6 cited

Algorithmic Aspects of Temporal Betweenness

Sebastian Buß, Hendrik Molter, Rolf Niedermeier +1

The betweenness centrality of a graph vertex measures how often this vertex is visited on shortest paths between other vertices of the graph. In the analysis of many real-world gra…

cs.DS2020★ 7 cited

As Time Goes By: Reflections on Treewidth for Temporal Graphs

Till Fluschnik, Hendrik Molter, Rolf Niedermeier +2

Treewidth is arguably the most important structural graph parameter leading to algorithmically beneficial graph decompositions. Triggered by a strongly growing interest in temporal…

cs.DM2020

Feedback Edge Sets in Temporal Graphs

Roman Haag, Hendrik Molter, Rolf Niedermeier +1

The classical, linear-time solvable Feedback Edge Set problem is concerned with finding a minimum number of edges intersecting all cycles in a (static, unweighted) graph. We provid…

cs.DS2019★ 8 cited

Enumerating Isolated Cliques in Temporal Networks

Hendrik Molter, Rolf Niedermeier, Malte Renken

Isolation is a concept from the world of clique enumeration that is mostly used to model communities that do not have much contact to the outside world. Herein, a clique is conside…

cs.DM2019

The Computational Complexity of Finding Temporal Paths under Waiting Time Constraints

Arnaud Casteigts, Anne-Sophie Himmel, Hendrik Molter +1

Computing a (short) path between two vertices is one of the most fundamental primitives in graph algorithmics. In recent years, the study of paths in temporal graphs, that is, grap…