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 41 81 0 26 Oct 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Explaining Chemical Toxicity using Missing Features Kar Wai Lim Bhanushee Sharma Payel Das Vijil Chenthamarakshan J. Dordick 24 7 0 23 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 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 7,639 0 03 Jul 2012