Induced Cycles and Paths Are Harder Than You Think
Mina Dalirrooyfard, Virginia Vassilevska Williams

TL;DR
This paper establishes new complexity lower bounds for the Subgraph Isomorphism problem with fixed patterns, showing it is harder than previously known, especially for paths, cycles, and induced subgraphs, based on the $k$-Clique hypothesis.
Contribution
It provides refined hardness results for induced subgraph detection, improving previous bounds and removing reliance on the Hadwiger conjecture for certain cases.
Findings
SI for core patterns is as hard as $t$-Clique, where $t$ is the largest clique minor size.
Induced $k$-Path and $k$-Cycle detection are harder than previously established, requiring larger clique sizes.
Detecting induced 4-cycles requires near-quadratic time, even in sparse graphs.
Abstract
The goal of the paper is to give fine-grained hardness results for the Subgraph Isomorphism (SI) problem for fixed size induced patterns , based on the -Clique hypothesis that the current best algorithms for Clique are optimal. Our first main result is that for any pattern graph that is a {\em core}, the SI problem for is at least as hard as -Clique, where is the size of the largest clique minor of . This improves (for cores) the previous known results [Dalirrooyfard-Vassilevska W. STOC'20] that the SI for is at least as hard as -clique where is the size of the largest clique {\em subgraph} in , or the chromatic number of (under the Hadwiger conjecture). For detecting \emph{any} graph pattern , we further remove the dependency of the result of [Dalirrooyfard-Vassilevska W. STOC'20] on the Hadwiger conjecture at the cost of a sub-polynomial…
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Taxonomy
TopicsAlgorithms and Data Compression · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
