activity
20082026
most citedEfficiently Enumerating all Maximal Cliques with Bit-Parallelism

31 citations · 155 across the 25 of their papers we have counts for

collaborators

39 papers

cs.DS2026

Data Reductions for the Strong Maximum Independent Set Problem in Hypergraphs

Ernestine Großmann, Christian Schulz, Darren Strash +1

This work addresses the well-known Maximum Independent Set problem in the context of hypergraphs. While this problem has been extensively studied on graphs, we focus on its strong…

cs.DS2023

Open Problems in (Hyper)Graph Decomposition

Deepak Ajwani, Rob H. Bisseling, Katrin Casel +26

Large networks are useful in a wide range of applications. Sometimes problem instances are composed of billions of entities. Decomposing and analyzing these structures helps us gai…

cs.SI2023

A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem

Enqiang Zhu, Yu Zhang, Shengzhi Wang +2

Given a graph, the minimum dominating set (MinDS) problem is to identify a smallest set of vertices such that every vertex not in is adjacent to at least one vertex in .…

cs.DS2023

Solving Edge Clique Cover Exactly via Synergistic Data Reduction

Anthony Hevia, Benjamin Kallus, Summer McClintic +3

The edge clique cover (ECC) problem -- where the goal is to find a minimum cardinality set of cliques that cover all the edges of a graph -- is a classic NP-hard problem that has r…

cs.DS2023★ 1 cited

Improved Exact and Heuristic Algorithms for Maximum Weight Clique

Roman Erhardt, Kathrin Hanauer, Nils Kriege +2

We propose improved exact and heuristic algorithms for solving the maximum weight clique problem, a well-known problem in graph theory with many applications. Our algorithms interl…

cs.DS2022★ 2 cited

Finding Near-Optimal Weight Independent Sets at Scale

Ernestine Großmann, Sebastian Lamm, Christian Schulz +1

Computing maximum weight independent sets in graphs is an important NP-hard optimization problem. The problem is particularly difficult to solve in large graphs for which data redu…