activity
20172022
most citedLearning-based Support Estimation in Sublinear Time

8 citations · 12 across the 6 of their papers we have counts for

collaborators

12 papers

cs.DS2022

Sampling an Edge in Sublinear Time Exactly and Optimally

Talya Eden, Shyam Narayanan, Jakub Tětek

Sampling edges from a graph in sublinear time is a fundamental problem and a powerful subroutine for designing sublinear-time algorithms. Suppose we have access to the vertices of…

cs.DS20221 cited

Triangle and Four Cycle Counting with Predictions in Graph Streams

Justin Y. Chen, Talya Eden, Piotr Indyk +7

We propose data-driven one-pass streaming algorithms for estimating the number of triangles and four cycles, two fundamental problems in graph analytics that are widely studied in…

cs.DS2021

Approximating the Arboricity in Sublinear Time

Talya Eden, Saleet Mossel, Dana Ron

We consider the problem of approximating the arboricity of a graph , which we denote by , in sublinear time, where the arboricity of a graph is the minim…

cs.SI20211 cited

Sampling Multiple Nodes in Large Networks: Beyond Random Walks

Omri Ben-Eliezer, Talya Eden, Joel Oren +1

Sampling random nodes is a fundamental algorithmic primitive in the analysis of massive networks, with many modern graph mining algorithms critically relying on it. We consider the…

cs.DS2021

Adversarially Robust Streaming via Dense--Sparse Trade-offs

Omri Ben-Eliezer, Talya Eden, Krzysztof Onak

A streaming algorithm is adversarially robust if it is guaranteed to perform correctly even in the presence of an adaptive adversary. Recently, several sophisticated frameworks for…

cs.DS2021

Towards a Decomposition-Optimal Algorithm for Counting and Sampling Arbitrary Motifs in Sublinear Time

Amartya Shankha Biswas, Talya Eden, Ronitt Rubinfeld

We consider the problem of sampling and approximately counting an arbitrary given motif in a graph , where access to is given via queries: degree, neighbor, and pair, as…