activity
20102022
most citedOn the Power of Advice and Randomization for Online Bipartite Matching

19 citations · 54 across the 16 of their papers we have counts for

collaborators

21 papers

cs.DS2022

Improved Weighted Matching in the Sliding Window Model

Cezar-Mihail Alexandru, Pavel Dvořák, Christian Konrad +1

We consider the Maximum-weight Matching (MWM) problem in the streaming sliding window model of computation. In this model, the input consists of a sequence of weighted edges on a g…

cs.DS2021★ 5 cited

On Two-Pass Streaming Algorithms for Maximum Bipartite Matching

Christian Konrad, Kheeran K. Naidu

We study two-pass streaming algorithms for Maximum Bipartite Matching (MBM). All known two-pass streaming algorithms for MBM operate in a similar fashion: They compute a maximal ma…

cs.DC2021

The Complexity of Symmetry Breaking in Massive Graphs

Christian Konrad, Sriram V. Pemmaraju, Talal Riaz +1

The goal of this paper is to understand the complexity of symmetry breaking problems, specifically maximal independent set (MIS) and the closely related -ruling set problem, in…

cs.DS2021

Robust Lower Bounds for Graph Problems in the Blackboard Model of Communication

Christian Konrad, Peter Robinson, Viktor Zamaraev

We give lower bounds on the communication complexity of graph problems in the multi-party blackboard model. In this model, the edges of an -vertex input graph are partitioned am…

cs.DS2020★ 1 cited

Constructing Large Matchings via Query Access to a Maximal Matching Oracle

Lidiya Khalidah binti Khalil, Christian Konrad

Multi-pass streaming algorithm for Maximum Matching have been studied since more than 15 years and various algorithmic results are known today, including -pass streaming algorit…

cs.DS2020★ 3 cited

Optimal Lower Bounds for Matching and Vertex Cover in Dynamic Graph Streams

Jacques Dark, Christian Konrad

In this paper, we give simple optimal lower bounds on the one-way two-party communication complexity of approximate Maximum Matching and Minimum Vertex Cover with deletions. In our…