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We give query-efficient algorithms for the global min-cut and the s-t cut problem in unweighted, undirected graphs. Our oracle model is inspired by the submodular function minimization problem: on query $S subset V$, the oracle returns the size of the cut between $S$ and $V setminus S$. We provide algorithms computing an exact minimum $s$-$t$ cut in $G$ with $tilde{O}(n^{5/3})$ queries, and computing an exact global minimum cut of $G$ with only $tilde{O}(n)$ queries (while learning the graph requires $tilde{Theta}(n^2)$ queries).
Given a capacitated undirected graph $G=(V,E)$ with a set of terminals $K subset V$, a mimicking network is a smaller graph $H=(V_H,E_H)$ that exactly preserves all the minimum cuts between the terminals. Specifically, the vertex set of the sparsifie
We present the first work-optimal polylogarithmic-depth parallel algorithm for the minimum cut problem on non-sparse graphs. For $mgeq n^{1+epsilon}$ for any constant $epsilon>0$, our algorithm requires $O(m log n)$ work and $O(log^3 n)$ depth and su
We study the space complexity of sketching cuts and Laplacian quadratic forms of graphs. We show that any data structure which approximately stores the sizes of all cuts in an undirected graph on $n$ vertices up to a $1+epsilon$ error must use $Omega
We give an algorithm to find a mincut in an $n$-vertex, $m$-edge weighted directed graph using $tilde O(sqrt{n})$ calls to any maxflow subroutine. Using state of the art maxflow algorithms, this yields a directed mincut algorithm that runs in $tilde
A bond of a graph $G$ is an inclusion-wise minimal disconnecting set of $G$, i.e., bonds are cut-sets that determine cuts $[S,Vsetminus S]$ of $G$ such that $G[S]$ and $G[Vsetminus S]$ are both connected. Given $s,tin V(G)$, an $st$-bond of $G$ is a