Layer-Dependent Importance Sampling for Training Deep and Large Graph
Convolutional Networks

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

17 November 2019

Quanquan Gu

Papers citing "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

16 / 166 papers shown

Title
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng-Wei Zhang George Karypis FedML GNN 19 241 0 11 Oct 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 14 76 0 14 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 16 158 0 07 Sep 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu AAML 11 450 0 19 Aug 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 547 0 27 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 22 84 0 24 Jun 2020
Relational Fusion Networks: Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 6 39 0 16 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Zhiqiang Zhang Jun Zhou Shuang Yang Le Song Yuan Qi 23 47 0 10 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 386 0 22 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 19 392 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
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
Constant Time Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN 18 10 0 23 Jan 2019
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 28 5,397 0 20 Dec 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen Dongruo Zhou Yiqi Tang Ziyan Yang Yuan Cao Quanquan Gu ODL 13 192 0 18 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 244 3,236 0 24 Nov 2016