Counting Induced Subgraphs: A Topological Approach to #W[1]-hardness
Marc Roth, Johannes Schmitt

TL;DR
This paper links the computational hardness of counting induced subgraphs with certain properties to topological invariants of associated graph complexes, establishing new complexity results and connecting to the evasiveness conjecture.
Contribution
It introduces a topological approach to analyze the #W[1]-hardness of counting induced subgraphs with monotone properties, linking it to the Euler characteristic and evasiveness.
Findings
Counting induced subgraphs with certain properties is #W[1]-hard.
Topological invariants determine the complexity of the problem.
Some properties lead to hardness even under ETH assumptions.
Abstract
We investigate the problem of counting all induced subgraphs of size in a graph that satisfy a given property . This continues the work of Jerrum and Meeks who proved the problem to be -hard for some families of properties which include, among others, (dis)connectedness [JCSS 15] and even- or oddness of the number of edges [Combinatorica 17]. Using the recent framework of graph motif parameters due to Curticapean, Dell and Marx [STOC 17], we discover that for monotone properties , the problem is hard for if the reduced Euler characteristic of the associated simplicial (graph) complex of is non-zero. This observation links to Karp's famous Evasiveness Conjecture, as every graph complex with non-vanishing reduced Euler characteristic is known to be…
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