In the semi-streaming model for processing massive graphs, an algorithm makes multiple passes over the edges of a given n-vertex graph and is tasked with computing the solution to …
A Dhawan - arXiv preprint arXiv:2408.08256, 2024 - arxiv.org
A seminal palette sparsification result of Assadi, Chen, and Khanna states that in every $ n $- vertex graph of maximum degree $\Delta $, sampling $\Theta (\log n) $ colors per vertex …
M Flin, MM Halldórsson, A Nolin - arXiv preprint arXiv:2308.01359, 2023 - arxiv.org
We provide a $ O (\log^ 6\log n) $-round randomized algorithm for distance-2 coloring in CONGEST with $\Delta^ 2+ 1$ colors. For $\Delta\gg\operatorname {poly}\log n $, this …
S Assadi, H Yazdanyar - 2025 Symposium on Simplicity in Algorithms (SOSA), 2025 - SIAM
The palette sparsification theorem (PST) of Assadi, Chen, and Khanna (SODA 2019) states that in every graph G with maximum degree Δ, sampling a list of O (log n) colors from {1 …
In the semi-streaming model for processing massive graphs, an algorithm makes multiple passes over the edges of a given $ n $-vertex graph and is tasked with computing the …
M Flin, MM Halldórsson, A Nolin - arXiv preprint arXiv:2408.11041, 2024 - arxiv.org
Graph coloring is fundamental to distributed computing. We give the first general treatment of the coloring of virtual graphs, where the graph $ H $ to be colored is locally embedded …
M Flin, MM Halldorsson, A Nolin - arXiv preprint arXiv:2405.07725, 2024 - arxiv.org
Graph coloring is fundamental to distributed computing. We give an ultrafast distributed algorithm for coloring cluster graphs. These graphs are obtained from the underlying …
Given positive integers $ k\leq m $ and a graph $ G $, a family of lists $ L=\{L (v): v\in V (G)\} $ is said to be a random $(k, m) $-list-assignment if for every $ v\in V (G) $ the list $ L (v) $ is …