Stochastic Training of Graph Convolutional Networks with Variance
Reduction

Stochastic Training of Graph Convolutional Networks with Variance Reduction

29 October 2017

Jianfei Chen

Jun Zhu

Papers citing "Stochastic Training of Graph Convolutional Networks with Variance Reduction"

15 / 15 papers shown

Title
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 27 28 0 07 Mar 2021
Accurate, Efficient and Scalable Training of Graph Neural Networks Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 14 8 0 05 Oct 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 39 34 0 19 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 30 60 0 18 Sep 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 37 47 0 10 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 30 393 0 23 Apr 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 37 346 0 17 Jan 2020
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 29 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 51 272 0 28 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 63 0 25 Feb 2019
Modeling Relational Data with Graph Convolutional Networks M. Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 97 4,745 0 17 Mar 2017