Bayesian Semi-supervised Learning with Graph Gaussian Processes

Bayesian Semi-supervised Learning with Graph Gaussian Processes

12 September 2018

Ricardo M. A. Silva

Papers citing "Bayesian Semi-supervised Learning with Graph Gaussian Processes"

14 / 14 papers shown

Title
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 24 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 19 0 0 28 Nov 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 38 21 0 12 Oct 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 80 0 26 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 13 78 0 29 Oct 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 34 17 0 26 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction Felix L. Opolka Pietro Lió GNN 27 15 0 11 Feb 2020
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 21 10 0 05 Jun 2019
Graph Convolutional Gaussian Processes Ian Walker Ben Glocker GNN 17 35 0 14 May 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 131 976 0 29 Dec 2009