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08/27/2023
Hypergraph Structure Inference From Data Under Smoothness Prior
Hypergraphs are important for processing data with higher-order relation...
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07/31/2020
Graph signal processing for machine learning: A review and new perspectives
The effective representation, processing, analysis, and visualization of...
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06/13/2020
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel
Bayesian optimisation (BO) has been widely used for hyperparameter optim...
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02/11/2019
Error Analysis on Graph Laplacian Regularized Estimator
We provide a theoretical analysis of the representation learning problem...
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06/30/2014
