Gaussian Processes on Graphs via Spectral Kernel Learning

12 June 2020

Papers citing "Gaussian Processes on Graphs via Spectral Kernel Learning"

9 / 9 papers shown

Title
Low-rank computation of the posterior mean in Multi-Output Gaussian Processes Sebastian Esche Martin Stoll 33 0 0 30 Apr 2025
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 30 1 0 21 Oct 2024
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera F. Bachoc 36 1 0 26 Apr 2024
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 19 4 0 08 Jun 2023
Transductive Kernels for Gaussian Processes on Graphs Yin-Cong Zhi Felix L. Opolka Yin Cheng Ng Pietro Lio' Xiaowen Dong 14 0 0 28 Nov 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 56 59 0 26 Apr 2021
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 4 78 0 29 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016