BayesGrad: Explaining Predictions of Graph Convolutional Networks

4 July 2018

Papers citing "BayesGrad: Explaining Predictions of Graph Convolutional Networks"

5 / 5 papers shown

Title
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
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 23 100 0 10 Mar 2021
Explaining Chemical Toxicity using Missing Features Kar Wai Lim Bhanushee Sharma Payel Das Vijil Chenthamarakshan J. Dordick 9 7 0 23 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012