The Parameterised Complexity of Counting Small Sub-Hypergraphs
Marco Bressan, Julian Christoph Brinkmann, Holger Dell, Marc Roth, Philip Wellnitz
Abstract
Subgraph counting is a fundamental and well-studied problem whose computational complexity is well understood. Quite surprisingly, the hypergraph version of subgraph counting has been almost ignored. In this work, we address this gap by investigating the most basic sub-hypergraph counting problem: given two hypergraphs and , compute the number of sub-hypergraphs of isomorphic to . Formally, for a family of hypergraphs, let #Sub be the restriction of the problem to ; the induced variant #IndSub is defined analogously. Our main contribution is a complete classification of the fixed-parameter tractability of these problems. Assuming the Exponential Time Hypothesis, we prove that #Sub is fixed-parameter tractable if and only if has bounded fractional co-independent edge-cover number, a novel graph parameter introduced in this work, and that #IndSub is fixed-parameter tractable if and only if has bounded fractional edge-cover number. Both results subsume pre-existing results for graphs as special cases. We also show that the fixed-parameter tractable cases of #Sub and #IndSub are unlikely to be in polynomial time, unless respectively and Graph Isomorphism . This shows a separation with the special case of graphs, where the fixed-parameter tractable cases are known to actually be in polynomial time. From a technical standpoint, we turn to the hypergraph homomorphism basis and lift the complexity monotonicity principle due to Curticapean, Dell, and Marx [STOC 2017] from graphs to hypergraphs of unbounded rank. Moreover, we crucially rely on the integrality gap for fractional independent sets based on adaptive width due to Bressan, Lanzinger, and Roth [STOC 2023]. The heart of our proofs consists of a careful investigation of the adaptive width of the patterns that survive in the hypergraph homomorphism basis. We also consider a natural variant of sub-hypergraphs where edges are trimmed to be vertex subsets; we show that, surprisingly, in this case complexity monotonicity fails.
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- Clustering in graphs and hypergraphs with categorical edge labelsIlya Amburg, Nate Veldt, Austin R. BensonWWW 2020 · 118 citations
- The Complexity of Pattern Counting in Directed Graphs, Parameterised by the OutdegreeMarco Bressan, Matthias Lanzinger, Marc RothSTOC 2023 · 9 citations
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- Exact and Approximate Pattern Counting in Degenerate Graphs: New Algorithms, Hardness Results, and Complexity DichotomiesMarco Bressan, Marc RothFOCS 2021 · 8 citations
- Counting Small Induced Subgraphs Satisfying Monotone PropertiesMarc Roth, Johannes Schmitt, Philip WellnitzFOCS 2020 · 4 citations
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