research
∙
04/06/2023
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching
Cross-device user matching is a critical problem in numerous domains, in...
share
research
∙
03/03/2023
Generalizing Lloyd's algorithm for graph clustering
Clustering is a commonplace problem in many areas of data science, with ...
research
∙
01/26/2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Domain decomposition methods (DDMs) are popular solvers for discretized ...
research
∙
12/16/2022
Generalizing Reduction-Based Algebraic Multigrid
Algebraic Multigrid (AMG) methods are often robust and effective solvers...
research
∙
12/10/2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation
Sparse matrix representations are ubiquitous in computational science an...
research
∙
05/19/2022
Learning Interface Conditions in Domain Decomposition Solvers
Domain decomposition methods are widely used and effective in the approx...
research
∙
06/03/2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Large sparse linear systems of equations are ubiquitous in science and e...
research
∙
01/15/2021