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11/28/2022
Transductive Kernels for Gaussian Processes on Graphs
Kernels on graphs have had limited options for node-level problems. To a...
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06/12/2020
Gaussian Processes on Graphs via Spectral Kernel Learning
We propose a graph spectrum-based Gaussian process for prediction of sig...
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09/12/2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes
We propose a data-efficient Gaussian process-based Bayesian approach to ...
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10/11/2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
We propose a dynamic edge exchangeable network model that can capture sp...
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08/12/2016
