activity
20182021
most citedRecent Advances in Scalable Network Generation

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

collaborators

9 papers

cs.DS2021

Engineering Uniform Sampling of Graphs with a Prescribed Power-law Degree Sequence

Daniel Allendorf, Ulrich Meyer, Manuel Penschuck +2

We consider the following common network analysis problem: given a degree sequence return a uniform sample from the ensemble of all…

cs.AI2021

Efficient and accurate group testing via Belief Propagation: an empirical study

AminCoja-Oghlan, Max Hahn-Klimroth, Philipp Loick +1

The group testing problem asks for efficient pooling schemes and algorithms that allow to screen moderately large numbers of samples for rare infections. The goal is to accurately…

cs.DS2020

Simulating Population Protocols in Sub-Constant Time per Interaction

Petra Berenbrink, David Hammer, Dominik Kaaser +3

We consider the problem of efficiently simulating population protocols. In the population model, we are given a distributed system of agents modeled as identical finite-state m…

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…

math.PR2020

The random 2-SAT partition function

Dimitris Achlioptas, Amin Coja-Oghlan, Max Hahn-Klimroth +4

We show that throughout the satisfiable phase the normalised number of satisfying assignments of a random -SAT formula converges in probability to an expression predicted by the…

cs.DS2019

Bidirectional Text Compression in External Memory

Patrick Dinklage, Jonas Ellert, Johannes Fischer +2

Bidirectional compression algorithms work by substituting repeated substrings by references that, unlike in the famous LZ77-scheme, can point to either direction. We present such a…