activity
20152020
most citedRecent Advances in Scalable Network Generation

7 citations · 8 across the 2 of their papers we have counts for

collaborators

6 papers

cs.DS2020

Engineering Exact Quasi-Threshold Editing

Lars Gottesbüren, Michael Hamann, Philipp Schoch +3

Quasi-threshold graphs are -free graphs, i.e., they do not contain any cycle or path of four nodes as an induced subgraph. We study the -free editing pr…

cs.DS2020

Advanced Flow-Based Multilevel Hypergraph Partitioning

Lars Gottesbüren, Michael Hamann, Sebastian Schlag +1

The balanced hypergraph partitioning problem is to partition a hypergraph into disjoint blocks of bounded size such that the sum of the number of blocks connected by each hyper…

cs.DS20207 cited

Recent Advances in Scalable Network Generation

Manuel Penschuck, Ulrik Brandes, Michael Hamann +5

Random graph models are frequently used as a controllable and versatile data source for experimental campaigns in various research fields. Generating such data-sets at scale is a n…

cs.DS2019

Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm

Lars Gottesbüren, Michael Hamann, Dorothea Wagner

In this paper, we propose HyperFlowCutter, an algorithm for balanced hypergraph bipartitioning. It is based on minimum S-T hyperedge cuts and maximum flows. It computes a sequence…

cs.DS2019

Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies

Lars Gottesbüren, Michael Hamann, Tim Niklas Uhl +1

Graph partitioning has many applications. We consider the acceleration of shortest path queries in road networks using Customizable Contraction Hierarchies (CCH). It is based on co…

cs.SI20151 cited

Structure-Preserving Sparsification of Social Networks

Gerd Lindner, Christian L. Staudt, Michael Hamann +2

Sparsification reduces the size of networks while preserving structural and statistical properties of interest. Various sparsifying algorithms have been proposed in different conte…