Graph Structure Learning with Interpretable Bayesian Neural Networks

20 June 2024

Papers citing "Graph Structure Learning with Interpretable Bayesian Neural Networks"

6 / 6 papers shown

Title
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 35 0 0 01 Oct 2024
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals Hector Chahuara Gonzalo Mateos 26 0 0 19 Sep 2024
Learning Graph Structure from Convolutional Mixtures Max Wasserman Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro GNN CML BDL 35 6 0 19 May 2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals Ghania Fatima A. Arora P. Babu Petre Stoica 16 7 0 06 Feb 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015