activity
20202023
most citedTaming Horizontal Instability in Merge Trees: On the Computation of a Comprehensive Deformation-based Edit Distance

6 citations · 8 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CG2023★ 6 cited

Taming Horizontal Instability in Merge Trees: On the Computation of a Comprehensive Deformation-based Edit Distance

Florian Wetzels, Markus Anders, Christoph Garth

Comparative analysis of scalar fields in scientific visualization often involves distance functions on topological abstractions. This paper focuses on the merge tree abstraction (r…

cs.DS2023

Algorithms Transcending the SAT-Symmetry Interface

Markus Anders, Pascal Schweitzer, Mate Soos

Dedicated treatment of symmetries in satisfiability problems (SAT) is indispensable for solving various classes of instances arising in practice. However, the exploitation of symme…

cs.DS2023★ 1 cited

Engineering a Preprocessor for Symmetry Detection

Markus Anders, Pascal Schweitzer, Julian Stieß

State-of-the-art solvers for symmetry detection in combinatorial objects are becoming increasingly sophisticated software libraries. Most of the solvers were initially designed wit…

cs.LO2022

SAT Preprocessors and Symmetry

Markus Anders

Exploitation of symmetries is an indispensable approach to solve certain classes of difficult SAT instances. Numerous techniques for the use of symmetry in SAT have evolved over th…

cs.LG2021

A systematic approach to random data augmentation on graph neural networks

Billy Joe Franks, Markus Anders, Marius Kloft +1

Random data augmentations (RDAs) are state of the art regarding practical graph neural networks that are provably universal. There is great diversity regarding terminology, methodo…

cs.DS2021

A Characterization of Individualization-Refinement Trees

Markus Anders, Jendrik Brachter, Pascal Schweitzer

Individualization-Refinement (IR) algorithms form the standard method and currently the only practical method for symmetry computations of graphs and combinatorial objects in gener…

cs.DS2021

Parallel Computation of Combinatorial Symmetries

Markus Anders, Pascal Schweitzer

In practice symmetries of combinatorial structures are computed by transforming the structure into an annotated graph whose automorphisms correspond exactly to the desired symmetri…

cs.DS2021

Comparative Design-Choice Analysis of Color Refinement Algorithms Beyond the Worst Case

Markus Anders, Pascal Schweitzer, Florian Wetzels

Color refinement is a crucial subroutine in symmetry detection in theory as well as practice. It has further applications in machine learning and in computational problems from lin…

cs.DS2020

Engineering a Fast Probabilistic Isomorphism Test

Markus Anders, Pascal Schweitzer

We engineer a new probabilistic Monte-Carlo algorithm for isomorphism testing. Most notably, as opposed to all other solvers, it implicitly exploits the presence of symmetries with…

cs.DS2020★ 1 cited

Search Problems in Trees with Symmetries: near optimal traversal strategies for individualization-refinement algorithms

Markus Anders, Pascal Schweitzer

We define a search problem on trees that closely captures the backtracking behavior of all current practical graph isomorphism algorithms. Given two trees with colored leaves, the…