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20202022
most citedSearch Problems in Trees with Symmetries: near optimal traversal strategies for individualization-refinement algorithms

1 citations · 1 across the 2 of their papers we have counts for

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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.DS20201 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…