Constant approximating k-clique is w[1]-hard
Bingkai Lin
2021Year
13Citations
6Top-tier citations
Abstract
For every graph G, let ω(G) be the largest size of complete subgraph in G. This paper presents a simple algorithm which, on input a graph G, a positive integer k and a small constant є>0, outputs a graph G′ and an integer k′ in 2Θ(k5)· |G|O(1)-time such that (1) k′≤ 2Θ(k5), (2) if ω(G)≥ k, then ω(G′)≥ k′, (3) if ω(G)<k, then ω(G′)< (1−є)k′. This implies that no f(k)· |G|O(1)-time algorithm can distinguish between the cases ω(G)≥ k and ω(G)<k/c for any constant c≥ 1 and computable function f, unless FPT= W[1].
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Cited by top-tier papers6
- Improved Hardness of Approximating k-Clique under ETHBingkai Lin, Xuandi Ren, Yican Sun, Xiuhan WangFOCS 2023 · 4 citations
- Almost Optimal Time Lower Bound for Approximating Parameterized Clique, CSP, and More, under ETHVenkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun et al.STOC 2025 · 3 citations
- Model-Checking for First-Order Logic with Disjoint Paths Predicates in Proper Minor-Closed Graph ClassesPetr A. Golovach, Giannos Stamoulis, Dimitrios M. ThilikosSODA 2023 · 3 citations
- Optimally Repurposing Existing Algorithms to Obtain Exponential-Time ApproximationsBaris Can Esmer, Ariel Kulik, Dániel Marx, Daniel Neuen et al.SODA 2024 · 3 citations
- Forbidden Subgraphs of Graphs with Low BandwidthMaria Chudnovsky, Daniel Lokshtanov, Eran NevoSTOC 2026
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