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arXiv · 2505.14666

Approximate Spanning Tree Counting from Uncorrelated Edge Sets

Yang P. Liu·Richard Peng·Junzhao Yang
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Abstract

We show an $\widetilde{O}(m^{1.5} \epsilon^{-1})$ time algorithm that on a graph with $m$ edges and $n$ vertices outputs its spanning tree count up to a multiplicative $(1+\epsilon)$ factor with high probability, improving on the previous best runtime of $\widetilde{O}(m + n^{1.875}\epsilon^{-7/4})$ in sparse graphs. While previous algorithms were based on computing Schur complements and determinantal sparsifiers, our algorithm instead repeatedly removes sets of uncorrelated edges found using the electrical flow localization theorem of Schild-Rao-Srivastava [SODA 2018].

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Yang P. Liu, Richard Peng, Junzhao Yang. 2025-05-20. Approximate Spanning Tree Counting from Uncorrelated Edge Sets. https://arxiv.org/abs/2505.14666

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