Orthogonal Graph Neural Networks

23 September 2021

Papers citing "Orthogonal Graph Neural Networks"

43 / 43 papers shown

Title
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 34 19 0 30 Aug 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 52 115 0 06 Jul 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 30 112 0 14 Apr 2021
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 80 604 0 18 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 92 137 0 07 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 82 1,473 0 04 Jul 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 91 202 0 12 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 202 2,701 0 02 May 2020
Controllable Orthogonalization in Training DNNs Lei Huang Li Liu Fan Zhu Diwen Wan Zehuan Yuan Bo Li Ling Shao 41 43 0 02 Apr 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 266 1,105 0 13 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 60 497 0 28 Jan 2020
Orthogonal Convolutional Neural Networks Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 51 188 0 27 Nov 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 48 505 0 26 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 68 1,096 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 85 179 0 07 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 72 1,323 0 25 Jul 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 66 427 0 23 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 71 1,073 0 11 May 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 110 1,333 0 07 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 169 4,303 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 160 3,149 0 19 Feb 2019
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 59 188 0 22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 195 1,674 0 14 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 226 2,135 0 22 Jun 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 289 353 0 14 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 465 1,965 0 09 Jun 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 78 301 0 12 Feb 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 161 2,796 0 22 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 99 750 0 10 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 319 19,991 0 30 Oct 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang Xianglong Liu B. Lang Adams Wei Yu Yongliang Wang Bo Li ODL 58 225 0 16 Sep 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 138 658 0 22 May 2017
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation Di Xie Jiang Xiong Shiliang Pu 86 182 0 06 Mar 2017
On orthogonality and learning recurrent networks with long term dependencies Eugene Vorontsov C. Trabelsi Samuel Kadoury C. Pal ODL 67 239 0 31 Jan 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 447 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 253 7,622 0 30 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 92 2,150 0 17 May 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 150 2,081 0 29 Mar 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 134 1,585 0 16 Jun 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 60 717 0 03 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 141 4,856 0 21 Dec 2013
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 128 1,830 0 20 Dec 2013