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Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph
  Convolutional Neural Networks

Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks

14 December 2021
Aneesh Komanduri
J. Zhan
    BDL
    GNN
ArXivPDFHTML

Papers citing "Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks"

3 / 3 papers shown
Title
A General Framework for quantifying Aleatoric and Epistemic uncertainty
  in Graph Neural Networks
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
Sai Munikoti
D. Agarwal
Laya Das
Balasubramaniam Natarajan
BDL
UD
31
13
0
20 May 2022
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 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
289
9,167
0
06 Jun 2015
1