Counting Small Induced Subgraphs with Hereditary Properties
Jacob Focke, Marc Roth

TL;DR
This paper classifies the computational complexity of counting induced subgraphs with hereditary properties, showing which are polynomial-time solvable and which are computationally hard, with tight bounds under ETH.
Contribution
It provides a complete classification of the counting problem for hereditary properties, extending previous results and establishing tight complexity bounds under ETH.
Findings
Polynomial-time solvable for trivial hereditary properties.
omplete or ounting or non-trivial hereditary properties.
stablishes TH-based onditional ounds.
Abstract
We study the computational complexity of the problem of counting -vertex induced subgraphs of a graph that satisfy a graph property . Our main result establishes an exhaustive and explicit classification for all hereditary properties, including tight conditional lower bounds under the Exponential Time Hypothesis (ETH): - If a hereditary property is true for all graphs, or if it is true only for finitely many graphs, then is solvable in polynomial time. - Otherwise, is -complete when parameterised by , and, assuming ETH, it cannot be solved in time for any function . This classification features a wide range of properties for which the corresponding detection problem (as classified by Khot and Raman [TCS 02]) is tractable but counting is hard.…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Bayesian Modeling and Causal Inference · Advanced Graph Neural Networks
