A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G that approximately retains the same cut structure of G. For general graphs, non-trivial sparsification is possible only by using weighted graphs in which different edges have different weights. Even for graphs that admit unweighted sparsifiers (that is, sparsifiers in which all the edge weights are equal to the same scaling factor), there are no known polynomial time algorithms that find such unweighted sparsifiers. We study a weaker notion of sparsification suggested by Oveis Gharan, in which the number of cut edges in each cut (S, ¯ S) is not approximated within a multiplicative factor (1 + ǫ), but is, instead, approximated up to an additive term b...
A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that p...
Abstract. A sparsifier of a graph is a sparse graph that approximates it. A spectral sparsifier is o...
We present several sparsification lower and upper bounds for classic problems in graph theory and lo...
A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G ...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
We present a general framework for constructing cut sparsifiers in undirected graphs --- weighted su...
We present a general framework for constructing cut sparsifiers in undirected graphs- weighted subgr...
In this last lecture we will discuss graph sparsification: approximating a graph by weighted sub-gra...
Let G be a graph with n vertices and m edges. A sparsifier of G is a sparse graph on the same vertex...
A seminal work of [Ahn-Guha-McGregor, PODS'12] showed that one can compute a cut sparsifier of an un...
Given a graph, a \emph{sparsification} is a smaller graph which approximates or preserves some prope...
We study resistance sparsification of graphs, in which the goal is to find a sparse subgraph (with r...
A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that ...
In graph sparsification, the goal has almost always been of global nature: compress a graph into a s...
We present three spectral sparsification algorithms that, on input a graph G with n vertices and m e...
A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that p...
Abstract. A sparsifier of a graph is a sparse graph that approximates it. A spectral sparsifier is o...
We present several sparsification lower and upper bounds for classic problems in graph theory and lo...
A sparsifier of a graph G (Benczu´r and Karger; Spielman and Teng) is a sparse weighted subgraph ˜ G ...
A sparsifier of a graph G (Benczúr and Karger; Spielman and Teng) is a sparse weighted subgraph G th...
We present a general framework for constructing cut sparsifiers in undirected graphs --- weighted su...
We present a general framework for constructing cut sparsifiers in undirected graphs- weighted subgr...
In this last lecture we will discuss graph sparsification: approximating a graph by weighted sub-gra...
Let G be a graph with n vertices and m edges. A sparsifier of G is a sparse graph on the same vertex...
A seminal work of [Ahn-Guha-McGregor, PODS'12] showed that one can compute a cut sparsifier of an un...
Given a graph, a \emph{sparsification} is a smaller graph which approximates or preserves some prope...
We study resistance sparsification of graphs, in which the goal is to find a sparse subgraph (with r...
A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that ...
In graph sparsification, the goal has almost always been of global nature: compress a graph into a s...
We present three spectral sparsification algorithms that, on input a graph G with n vertices and m e...
A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that p...
Abstract. A sparsifier of a graph is a sparse graph that approximates it. A spectral sparsifier is o...
We present several sparsification lower and upper bounds for classic problems in graph theory and lo...