AI RESEARCH
Mat\'ern Gaussian Processes on Graphs
arXiv CS.LG
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ArXi:2010.15538v4 Announce Type: replace-cross Gaussian processes are a versatile framework for learning unknown functions in a manner that permits one to utilize prior information about their properties. Although many different Gaussian process models are readily available when the input space is Euclidean, the choice is much limited for Gaussian processes whose input space is an undirected graph.