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

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Showing cs.DMShow all

10 papers · 1 filter

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.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.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.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…

cs.DM2019★ 2 cited

Computing Maximum Matchings in Temporal Graphs

George B. Mertzios, Hendrik Molter, Rolf Niedermeier +2

Temporal graphs are graphs whose topology is subject to discrete changes over time. Given a static underlying graph , a temporal graph is represented by assigning a set of integ…

cs.DM2018

Sliding Window Temporal Graph Coloring

George B. Mertzios, Hendrik Molter, Viktor Zamaraev

Graph coloring is one of the most famous computational problems with applications in a wide range of areas such as planning and scheduling, resource allocation, and pattern matchin…

cs.DM2018★ 1 cited

Parameterized Dynamic Cluster Editing

Junjie Luo, Hendrik Molter, André Nichterlein +1

We introduce a dynamic version of the NP-hard graph problem Cluster Editing. The essential point here is to take into account dynamically evolving input graphs: Having a cluster gr…

cs.DM2018

A Parameterized Complexity View on Collapsing k-Cores

Junjie Luo, Hendrik Molter, Ondrej Suchy

We study the NP-hard graph problem Collapsed k-Core where, given an undirected graph G and integers b, x, and k, we are asked to remove b vertices such that the k-core of remaining…

cs.DM2017★ 1 cited

The Parameterized Complexity of Centrality Improvement in Networks

Clemens Hoffmann, Hendrik Molter, Manuel Sorge

The centrality of a vertex v in a network intuitively captures how important v is for communication in the network. The task of improving the centrality of a vertex has many applic…

cs.DM2017

Cluster Editing for Multi-Layer and Temporal Graphs

Jiehua Chen, Hendrik Molter, Manuel Sorge +1

Motivated by the recent rapid growth of research for algorithms to cluster multi-layer and temporal graphs, we study extensions of the classical Cluster Editing problem. In Multi-L…