Bayesian graph convolutional neural networks for semi-supervised classification

27 November 2018

Papers citing "Bayesian graph convolutional neural networks for semi-supervised classification"

34 / 34 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 205 0 0 29 Apr 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 206 0 0 25 Feb 2025
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 111 1 0 30 May 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 103 10 0 11 Mar 2024
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 72 79 0 03 Jun 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 124 1,060 0 21 May 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 54 76 0 16 Mar 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 135 1,514 0 30 Jan 2018
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 111 478 0 20 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 384 19,991 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 427 15,066 0 07 Jun 2017
Bayesian stochastic blockmodeling Tiago P. Peixoto 50 199 0 29 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 153 658 0 22 May 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification Rushil Anirudh Jayaraman J. Thiagarajan 55 90 0 24 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 169 1,227 0 10 Apr 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 131 456 0 06 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 60 140 0 02 Mar 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 376 1,817 0 25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 536 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 289 7,622 0 30 Jun 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 173 1,139 0 25 May 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 160 2,081 0 29 Mar 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 76 325 0 23 Dec 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 288 3,271 0 17 Nov 2015
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 162 1,248 0 06 Nov 2015
Scalable MCMC for Mixed Membership Stochastic Blockmodels Wenzhe Li Sungjin Ahn Max Welling BDL 61 42 0 16 Oct 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 170 3,337 0 30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 144 1,585 0 16 Jun 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 57 258 0 14 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 533 9,233 0 06 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 85 940 0 18 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 201 18,922 0 20 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 168 4,856 0 21 Dec 2013
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 330 2,117 0 30 May 2007