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Bayesian graph convolutional neural networks via tempered MCMC

17 April 2021

Papers citing "Bayesian graph convolutional neural networks via tempered MCMC"

48 / 48 papers shown

Title
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 71 76 0 14 Oct 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 81 1,389 0 24 May 2020
Convergence diagnostics for Markov chain Monte Carlo Vivekananda Roy 66 219 0 26 Sep 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks Qi Cao Huawei Shen Jinhua Gao Bingzheng Wei Xueqi Cheng GNN 56 135 0 21 Jun 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 67 292 0 15 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems Hongwei Wang Fuzheng Zhang Mengdi Zhang J. Leskovec Miao Zhao Wenjie Li Zhongyuan Wang 67 553 0 11 May 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,179 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 780 8,554 0 03 Jan 2019
Revisiting the Gelman-Rubin Diagnostic Dootika Vats Christina Knudson 71 136 0 21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,527 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 154 1,334 0 11 Dec 2018
Surrogate-assisted parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain Arpit Kapoor Ashray Aman BDL 41 8 0 21 Nov 2018
Langevin-gradient parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain R. Deo Sally Cripps BDL 57 46 0 11 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 89 594 0 12 Aug 2018
Multi-core parallel tempering Bayeslands for basin and landscape evolution Rohitash Chandra R. Müller Danial Azam R. Deo N. Butterworth T. Salles Sally Cripps 37 15 0 23 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 516 1,987 0 09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,549 0 06 Jun 2018
Semi-supervised User Geolocation via Graph Convolutional Networks Afshin Rahimi Trevor Cohn Timothy Baldwin GNN SSL 74 158 0 22 Apr 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 110 573 0 20 Mar 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 59 446 0 13 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,516 0 30 Jan 2018
Variational Recurrent Neural Machine Translation Jinsong Su Shan Wu Deyi Xiong Yaojie Lu Xianpei Han Biao Zhang DRL 65 83 0 16 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 130 757 0 10 Jan 2018
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 73 130 0 25 Nov 2017
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 87 625 0 22 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 82 117 0 01 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 209 1,232 0 10 Apr 2017
Conversation Modeling on Reddit using a Graph-Structured LSTM Vicky Zayats Mari Ostendorf 86 85 0 07 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 191 4,828 0 17 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 85 844 0 06 Mar 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 124 529 0 17 Jan 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 415 1,824 0 25 Nov 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,591 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 647 29,154 0 09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 171 2,103 0 29 Mar 2016
Semantic Object Parsing with Graph LSTM Xiaodan Liang Xiaohui Shen Jiashi Feng Liang Lin Shuicheng Yan 172 355 0 23 Mar 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 347 3,285 0 17 Nov 2015
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 197 1,256 0 06 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,353 0 30 Sep 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 263 751 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,373 0 30 Apr 2014
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,283 0 09 Jun 2012