Near-Linear Time Homomorphism Counting in Bounded Degeneracy Graphs: The Barrier of Long Induced Cycles
Near-Linear Time Homomorphism Counting in Bounded Degeneracy Graphs: The Barrier of Long Induced Cycles
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有界简并图中的近线性时间同态计数:长诱导循环的障碍
DOI:
10.1137/1.9781611976465.138
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Seshadhri, C.
中科院分区:
文献类型:
--
作者:
Bera, Suman K.;Pashanasangi, Noujan;Seshadhri, C.
Counting homomorphisms of a constant sized pattern graphHin an input graphGis a fundamental computational problem. There is a rich history of studying the complexity of this problem, under various constraints on the inputGand the patternH. Given the significance of this problem and the large sizes of modern inputs, we investigate when near-linear time algorithms are possible. We focus on the case when the input graph has bounded degeneracy, a commonly studied and practically relevant class for homomorphism counting. It is known from previous work that for certain classes ofH, H-homomorphisms can be counted exactly in near-linear time in bounded degeneracy graphs. Can we precisely characterize the patternsHfor which near-linear time algorithms are possible?We completely resolve this problem, discovering a clean dichotomy using fine-grained complexity. Letmdenote the number of edges inG. We prove the following: if the largest induced cycle inHhas length at most 5, then there is anO(mlogm) algorithm for countingH-homomorphisms in bounded degeneracy graphs. If the largest induced cycle inHhas length at least 6, then (assuming standard fine-grained complexity conjectures) there is a constantγ> 0, such that there is noo(m1+γ) time algorithm for countingH-homomorphisms.
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