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03/03/2023
Generalizing Lloyd's algorithm for graph clustering
Clustering is a commonplace problem in many areas of data science, with ...
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01/26/2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Domain decomposition methods (DDMs) are popular solvers for discretized ...
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12/16/2022
Generalizing Reduction-Based Algebraic Multigrid
Algebraic Multigrid (AMG) methods are often robust and effective solvers...
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12/10/2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation
Sparse matrix representations are ubiquitous in computational science an...
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05/19/2022