activity
20172022
most citedAs Time Goes By: Reflections on Treewidth for Temporal Graphs

7 citations · 20 across the 11 of their papers we have counts for

collaborators

19 papers

cs.DS2022

Disentangling the Computational Complexity of Network Untangling

Vincent Froese, Pascal Kunz, Philipp Zschoche

We study the network untangling problem introduced by Rozenshtein, Tatti, and Gionis [DMKD 2021], which is a variant of Vertex Cover on temporal graphs -- graphs whose edge set cha…

cs.DS2022★ 2 cited

Restless Temporal Path Parameterized Above Lower Bounds

Philipp Zschoche

Reachability questions are one of the most fundamental algorithmic primitives in temporal graphs -- graphs whose edge set changes over discrete time steps. A core problem here is t…

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

Optimal Virtual Network Embeddings for Tree Topologies

Aleksander Figiel, Leon Kellerhals, Rolf Niedermeier +3

The performance of distributed and data-centric applications often critically depends on the interconnecting network. Applications are hence modeled as virtual networks, also accou…

cs.DS2021

Parameterized Algorithms for Diverse Multistage Problems

Leon Kellerhals, Malte Renken, Philipp Zschoche

The world is rarely static -- many problems need not only be solved once but repeatedly, under changing conditions. This setting is addressed by the "multistage" view on computatio…

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.DS2020

A Faster Parameterized Algorithm for Temporal Matching

Philipp Zschoche

A temporal graph is a sequence of graphs (called layers) over the same vertex set -- describing a graph topology which is subject to discrete changes over time. A -temporal matc…

math.CO2020★ 2 cited

Using a geometric lens to find k disjoint shortest paths

Matthias Bentert, André Nichterlein, Malte Renken +1

Given an undirected -vertex graph and pairs of terminal vertices , the -Disjoint Shortest Paths (-DSP)-problem asks whether there are …

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.CC2020

Multistage s-t Path: Confronting Similarity with Dissimilarity

Till Fluschnik, Rolf Niedermeier, Carsten Schubert +1

Addressing a quest by Gupta et al. [ICALP'14], we provide a first, comprehensive study of finding a short s-t path in the multistage graph model, referred to as the Multistage s-t…

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.CC2019

Multistage Vertex Cover

Till Fluschnik, Rolf Niedermeier, Valentin Rohm +1

Covering all edges of a graph by a small number of vertices, this is the NP-complete Vertex Cover problem. It is among the most fundamental graph-algorithmic problems. Following a…

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.DS2018★ 2 cited

Representative families for matroid intersections, with applications to location, packing, and covering problems

René van Bevern, Oxana Yu. Tsidulko, Philipp Zschoche

We show algorithms for computing representative families for matroid intersections and use them in fixed-parameter algorithms for set packing, set covering, and facility location p…

cs.DS2018

Data Reduction for Maximum Matching on Real-World Graphs: Theory and Experiments

Tomohiro Koana, Viatcheslav Korenwein, André Nichterlein +2

Finding a maximum-cardinality or maximum-weight matching in (edge-weighted) undirected graphs is among the most prominent problems of algorithmic graph theory. For -vertex and $…

cs.CC2018

Temporal Graph Classes: A View Through Temporal Separators

Till Fluschnik, Hendrik Molter, Rolf Niedermeier +2

We investigate the computational complexity of separating two distinct vertices s and z by vertex deletion in a temporal graph. In a temporal graph, the vertex set is fixed but the…

cs.DS2017

The Complexity of Finding Small Separators in Temporal Graphs

Philipp Zschoche, Till Fluschnik, Hendrik Molter +1

Temporal graphs are graphs with time-stamped edges. We study the problem of finding a small vertex set (the separator) with respect to two designated terminal vertices such that th…

cs.MA2017

On the Computational Complexity of Variants of Combinatorial Voter Control in Elections

Leon Kellerhals, Viatcheslav Korenwein, Philipp Zschoche +2

Voter control problems model situations in which an external agent tries toaffect the result of an election by adding or deleting the fewest number of voters. The goal of the agent…