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spectral sparsification

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Co-occurring keywords · papers mentioning both

graph sparsification (2) semi-supervised learning (2) graph machine learning (1) graph regression (1) ridge regularization (1) harmonic function (1) multilevel method (1) kernel methods (1) graph semi-supervised learning (1) fault-tolerant sparsification (1)

Papers

Robust Offline Active Learning on Graphs NeurIPS 2024 Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation ICLR 2023 Improved Dynamic Graph Learning through Fault-Tolerant Sparsification ICML 2019 Improved large-scale graph learning through ridge spectral sparsification ICML 2018 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015