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Bayesian Graph Neural Networks with Adaptive Connection Sampling

7 June 2020

Mingyuan Zhou

Papers citing "Bayesian Graph Neural Networks with Adaptive Connection Sampling"

35 / 35 papers shown

Title
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 291 0 0 22 Jan 2025
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna Sergio Calvo-Ordoñez Felix L. Opolka Pietro Liò Jose Miguel Hernandez-Lobato BDL 103 2 0 28 Aug 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 127 10 0 11 Mar 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 204 10 0 27 Dec 2023
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator Siamak Zamani Dadaneh Shahin Boluki Mingzhang Yin Mingyuan Zhou Xiaoning Qian BDL DRL 41 22 0 21 May 2020
Network-principled deep generative models for designing drug combinations as graph sets Mostafa Karimi Arman Hasanzadeh Yang Shen GNN 45 31 0 16 Apr 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning Shahin Boluki Randy Ardywibowo Siamak Zamani Dadaneh Mingyuan Zhou Xiaoning Qian BDL 51 34 0 12 Feb 2020
ARSM Gradient Estimator for Supervised Learning to Rank Siamak Zamani Dadaneh Shahin Boluki Mingyuan Zhou Xiaoning Qian 53 8 0 01 Nov 2019
Semi-Implicit Stochastic Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL 55 5 0 28 Oct 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 74 187 0 26 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 77 132 0 19 Aug 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 83 368 0 25 Mar 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 99 225 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 91 229 0 27 Nov 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data Ehsan Hajiramezanali Siamak Zamani Dadaneh Alireza Karbalayghareh Mingyuan Zhou Xiaoning Qian 69 52 0 22 Oct 2018
Differential Expression Analysis of Dynamical Sequencing Count Data with a Gamma Markov Chain Ehsan Hajiramezanali Siamak Zamani Dadaneh P. Figueiredo S. Sze Mingyuan Zhou Xiaoning Qian 50 11 0 07 Mar 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 160 1,518 0 30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 199 2,844 0 22 Jan 2018
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 84 185 0 15 Nov 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 99 648 0 12 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 529 15,379 0 07 Jun 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 189 593 0 22 May 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 159 3,598 0 21 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 371 5,393 0 03 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 709 29,220 0 09 Sep 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 115 2,366 0 19 Nov 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 93 490 0 15 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 236 1,519 0 08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 321 751 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 914 9,370 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,501 0 22 Dec 2014
Signal Recovery on Graphs: Variation Minimization Siheng Chen A. Sandryhaila José M. F. Moura J. Kovacevic 87 271 0 26 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,915 0 20 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 468 7,678 0 03 Jul 2012
Variational Bayesian Inference with Stochastic Search John Paisley David M. Blei Michael I. Jordan BDL 120 499 0 27 Jun 2012