ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.05739
  4. Cited By
Graph Convolutional Gaussian Processes

Graph Convolutional Gaussian Processes

14 May 2019
Ian Walker
Ben Glocker
    GNN
ArXivPDFHTML

Papers citing "Graph Convolutional Gaussian Processes"

14 / 14 papers shown
Title
Regularized Multi-output Gaussian Convolution Process with Domain
  Adaptation
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
Wang Xinming
Wang Chao
Song Xuan
Kirby Levi
Wu Jianguo
16
7
0
04 Sep 2024
Bayesian Optimisation of Functions on Graphs
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
Gaussian process deconvolution
Gaussian process deconvolution
Felipe A. Tobar
Arnaud Robert
Jorge F. Silva
25
5
0
08 May 2023
Transductive Kernels for Gaussian Processes on Graphs
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
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Yonghui Fan
Yalin Wang
18
2
0
30 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with
  PolyShape Representation
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
Mohsen Yavartanoo
Shih-Hsuan Hung
Reyhaneh Neshatavar
Yue Zhang
Kyoung Mu Lee
19
15
0
15 Oct 2021
Deep Learning for Bayesian Optimization of Scientific Problems with
  High-Dimensional Structure
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
76
17
0
23 Apr 2021
Probabilistic Numeric Convolutional Neural Networks
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
29
13
0
21 Oct 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using
  Multi-Headed Auxiliary Networks
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks
Sujay Thakur
Cooper Lorsung
Yaniv Yacoby
Finale Doshi-Velez
Weiwei Pan
BDL
UQCV
25
4
0
21 Jun 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning
  via Gaussian Processes
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
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lió
GNN
27
15
0
11 Feb 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
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
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
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
89
271
0
24 Feb 2014
1