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Bayesian Graph Convolutional Neural Networks using Node Copying

Bayesian Graph Convolutional Neural Networks using Node Copying

8 November 2019
Soumyasundar Pal
Florence Regol
Mark J. Coates
    BDL
    GNN
ArXivPDFHTML

Papers citing "Bayesian Graph Convolutional Neural Networks using Node Copying"

6 / 6 papers shown
Title
Bayes-enhanced Multi-view Attention Networks for Robust POI
  Recommendation
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation
Jiangnan Xia
Yu Yang
Senzhang Wang
Hongzhi Yin
Jiannong Cao
Phillp S. Yu
16
5
0
01 Nov 2023
Graph Posterior Network: Bayesian Predictive Uncertainty for Node
  Classification
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
Probabilistic modeling of lake surface water temperature using a
  Bayesian spatio-temporal graph convolutional neural network
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network
M. Stalder
Firat Ozdemir
A. Safin
J. Sukys
D. Bouffard
F. Pérez-Cruz
8
2
0
27 Sep 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
234
1,811
0
25 Nov 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Wenzhe Li
Sungjin Ahn
Max Welling
BDL
34
42
0
16 Oct 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1