Bayesian graph convolutional neural networks via tempered MCMC

17 April 2021

Papers citing "Bayesian graph convolutional neural networks via tempered MCMC"

7 / 7 papers shown

Title
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 40 24 0 26 Nov 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 19 58 0 03 Nov 2021
COVID-19 sentiment analysis via deep learning during the rise of novel cases Rohitash Chandra Aswin Krishna 22 97 0 05 Apr 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 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
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012