collaborators

7 papers

cs.DS2026

Efficient Parallel Algorithms for Hypergraph Matching

Henrik Reinstädtler, Christian Schulz, Nodari Sitchinava +1

We present efficient parallel algorithms for computing maximal matchings in hypergraphs. Our algorithm finds locally maximal edges in the hypergraph and adds them in parallel to th…

cs.DS2026

A Comprehensive Survey of Data Reduction Rules for the Maximum Weighted Independent Set Problem

Ernestine Großmann, Kenneth Langedal, Christian Schulz

The Maximum Weight Independent Set (MWIS) problem, as well as its related problems such as Minimum Weight Vertex Cover, are fundamental NP-hard problems with numerous practical app…

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.DS2025

FLASH-TB: Integrating Arc-Flags and Trip-Based Public Transit Routing

Ernestine Großmann, Jonas Sauer, Christian Schulz +2

We present FLASH-TB, a journey planning algorithm for public transit networks that combines Trip-Based Public Transit Routing (TB) with the Arc-Flags speedup technique. The basic i…

cs.DS2025

Semi-Streaming Algorithms for Hypergraph Matching

Henrik Reinstädtler, S M Ferdous, Alex Pothen +2

We propose two one-pass streaming algorithms for the -hard hypergraph matching problem. The first algorithm stores a small subset of potential matching edges in a sta…

math.OC2025

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem

Ernestine Großmann, Kenneth Langedal, Christian Schulz

The Maximum Weight Independent Set problem is a fundamental NP-hard problem in combinatorial optimization with several real-world applications. Given an undirected vertex-weighted…