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Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning
  via Gaussian Processes

Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes

26 February 2020
Jilin Hu
Jianbing Shen
B. Yang
Ling Shao
    BDL
    GNN
ArXivPDFHTML

Papers citing "Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes"

3 / 3 papers shown
Title
Graph Neural Network and Spatiotemporal Transformer Attention for 3D
  Video Object Detection from Point Clouds
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin
Jianbing Shen
Xin Gao
David J. Crandall
Ruigang Yang
3DPC
ViT
38
59
0
26 Jul 2022
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
63
17
0
23 Apr 2021
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
1