A general multi-output Gaussian process formulation for graph data that handles per-node inputs, flexible kernels, and subgraph prediction.
Gaus- sian process nonparametric tensor estimator and its minimax optimality,
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Multi-Output Gaussian Processes for Graph-Structured Data
A general multi-output Gaussian process formulation for graph data that handles per-node inputs, flexible kernels, and subgraph prediction.