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20162026
most citedMassively Parallel Symmetry Breaking on Sparse Graphs: MIS and Maximal Matching

12 citations · 29 across the 37 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.DS2022

Sublinear Time Algorithms and Complexity of Approximate Maximum Matching

Soheil Behnezhad, Mohammad Roghani, Aviad Rubinstein

Sublinear time algorithms for approximating maximum matching size have long been studied. Much of the progress over the last two decades on this problem has been on the algorithmic…

cs.DS2022

On Regularity Lemma and Barriers in Streaming and Dynamic Matching

Sepehr Assadi, Soheil Behnezhad, Sanjeev Khanna +1

We present a new approach for finding matchings in dense graphs by building on Szemerédi's celebrated Regularity Lemma. This allows us to obtain non-trivial albeit slight improveme…

cs.DS2022

Dynamic Algorithms for Maximum Matching Size

Soheil Behnezhad

We study fully dynamic algorithms for maximum matching. This is a well-studied problem, known to admit several update-time/approximation trade-offs. For instance, it is known how t…

cs.DS2022

Beating Greedy Matching in Sublinear Time

Soheil Behnezhad, Mohammad Roghani, Aviad Rubinstein +1

We study sublinear time algorithms for estimating the size of maximum matching in graphs. Our main result is a -approximation algorithm which can be implemented…

cs.DS2022

Almost 3-Approximate Correlation Clustering in Constant Rounds

Soheil Behnezhad, Moses Charikar, Weiyun Ma +1

We study parallel algorithms for correlation clustering. Each pair among objects is labeled as either "similar" or "dissimilar". The goal is to partition the objects into arbit…

cs.DS2022★ 1 cited

New Trade-Offs for Fully Dynamic Matching via Hierarchical EDCS

Soheil Behnezhad, Sanjeev Khanna

We study the maximum matching problem in fully dynamic graphs: a graph is undergoing both edge insertions and deletions, and the goal is to efficiently maintain a large matching af…