Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning

26 October 2019

Papers citing "Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning"

6 / 6 papers shown

Title
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
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
Bayesian Graph Convolutional Network for Traffic Prediction Jun Fu Wei Zhou Zhibo Chen GNN BDL 18 8 0 01 Apr 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 61 17 0 31 Dec 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,812 0 25 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015