In this paper we initiate the study of expander decompositions of a grap...
We present a sublinear query algorithm for outputting a near-optimal low...
Graph sketching is a powerful paradigm for analyzing graph structure via...
A motif is a frequently occurring subgraph of a given directed or undire...
The random order graph streaming model has received significant attentio...
Random walks are a fundamental primitive used in many machine learning
a...
In this paper we introduce and study the StreamingCycles problem, a
rand...
Computing the dominant Fourier coefficients of a vector is a common task...
The Boolean Hidden Matching (BHM) problem, introduced in a seminal paper...
Graph sparsification has been studied extensively over the past two deca...
The bipartite matching problem in the online and streaming settings has
...
Given a graph G that can be partitioned into k disjoint expanders with
o...
In this paper we revisit the kernel density estimation problem: given a
...
Cut and spectral sparsification of graphs have numerous applications,
in...
In this paper we revisit the problem of constructing randomized composab...
Graph sketching is a powerful technique introduced by the seminal work o...
Random binning features, introduced in the seminal paper of Rahimi and R...
Graph processing has become an important part of various areas of comput...
Kernel methods are fundamental tools in machine learning that allow dete...
Given a source of iid samples of edges of an input graph G with n
vertic...
The online matching problem was introduced by Karp, Vazirani and Vaziran...
Graph sketching has emerged as a powerful technique for processing massi...
In this paper we consider the problem of computing spectral approximatio...
The Discrete Fourier Transform (DFT) is a fundamental computational
prim...
Reconstructing continuous signals from a small number of discrete sample...
We consider the problem of estimating the value of MAX-CUT in a graph in...
In the subgraph counting problem, we are given a input graph G(V, E) and...
Subgraph counting is a fundamental primitive in graph processing, with
a...
We consider the problem of testing graph cluster structure: given access...
Random Fourier features is one of the most popular techniques for scalin...