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Isomorphism Testing Parameterized by Genus and Beyond

Isomorphism testing parameterized by genus and beyond
Authors: Neuen, Daniel;

Isomorphism Testing Parameterized by Genus and Beyond

Abstract

We present an isomorphism test for graphs of Euler genus g running in time 2^{O(g^4 log g)}n^{O(1)}. Our algorithm provides the first explicit upper bound on the dependence on g for an fpt isomorphism test parameterized by the Euler genus of the input graphs. The only previous fpt algorithm runs in time f(g)n for some function f (Kawarabayashi 2015). Actually, our algorithm even works when the input graphs only exclude K_{3,h} as a minor. For such graphs, no fpt isomorphism test was known before. The algorithm builds on an elegant combination of simple group-theoretic, combinatorial, and graph-theoretic approaches. In particular, we introduce (t,k)-WL-bounded graphs which provide a powerful tool to combine group-theoretic techniques with the standard Weisfeiler-Leman algorithm. This concept may be of independent interest.

Keywords

graph isomorphism, Weisfeiler-Leman algorithm, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Analysis of algorithms and problem complexity, Mathematics of computing → Graphs and surfaces, 004, Theory of computation → Fixed parameter tractability, Theory of computation → Graph algorithms analysis, Euler genus, Graph theory (including graph drawing) in computer science, fixed-parameter tractability, Computer Science - Data Structures and Algorithms, Isomorphism problems in graph theory (reconstruction conjecture, etc.) and homomorphisms (subgraph embedding, etc.), FOS: Mathematics, Mathematics - Combinatorics, Data Structures and Algorithms (cs.DS), Combinatorics (math.CO), Nonnumerical algorithms, Computer Science - Discrete Mathematics, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green