most citedMG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods

3 citations · 3 across the 3 of their papers we have counts for

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math.NA2025

Unstructured to structured: geometric multigrid on complex geometries via domain remapping

Nicolas Nytko, Scott MacLachlan, J. David Moulton +3

For domains that are easily represented by structured meshes, robust geometric multigrid solvers can quickly provide the numerical solution to many discretized elliptic PDEs. Howev…

math.NA2023

Generalizing Lloyd's algorithm for graph clustering

Tareq Zaman, Nicolas Nytko, Ali Taghibakhshi +3

Clustering is a commonplace problem in many areas of data science, with applications in biology and bioinformatics, understanding chemical structure, image segmentation, building r…