Finding Cheeger Cuts in Hypergraphs via Heat Equation

September 12, 2018 Β· Declared Dead Β· πŸ› Theoretical Computer Science

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Authors Masahiro Ikeda, Atsushi Miyauchi, Yuuki Takai, Yuichi Yoshida arXiv ID 1809.04396 Category cs.DS: Data Structures & Algorithms Cross-listed cs.DM, math.AP, math.NA, math.SP Citations 22 Venue Theoretical Computer Science Last Checked 3 months ago
Abstract
Cheeger's inequality states that a tightly connected subset can be extracted from a graph $G$ using an eigenvector of the normalized Laplacian associated with $G$. More specifically, we can compute a subset with conductance $O(\sqrt{Ο†_G})$, where $Ο†_G$ is the minimum conductance of a set in $G$. It has recently been shown that Cheeger's inequality can be extended to hypergraphs. However, as the normalized Laplacian of a hypergraph is no longer a matrix, we can only approximate to its eigenvectors; this causes a loss in the conductance of the obtained subset. To address this problem, we here consider the heat equation on hypergraphs, which is a differential equation exploiting the normalized Laplacian. We show that the heat equation has a unique solution and that we can extract a subset with conductance $\sqrt{Ο†_G}$ from the solution. An analogous result also holds for directed graphs.
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