Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

16 October 2021

Jie Chen

Papers citing "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining"

29 / 29 papers shown

Title
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen AI4CE 166 3 0 28 Jan 2025
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs Jialin Dong Da Zheng Lin F. Yang Geroge Karypis GNN 29 36 0 11 Jun 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 38 67 0 04 Mar 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 120 232 0 18 Jan 2021
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 Zhang George Karypis FedML GNN 45 245 0 11 Oct 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 77 121 0 11 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 252 2,701 0 02 May 2020
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 44 24 0 24 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 314 42,038 0 03 Dec 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 90 282 0 17 Nov 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics Mark Weber Giacomo Domeniconi Jie Chen D. Weidele Claudio Bellei Tom Robinson C. E. Leiserson 54 320 0 31 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 132 962 0 10 Jul 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 91 1,377 0 29 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 136 1,268 0 20 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 179 4,303 0 06 Mar 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 149 1,625 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 197 7,554 0 01 Oct 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 51 45 0 31 Jul 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 215 3,513 0 06 Jun 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
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 386 19,991 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 429 15,066 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 350 7,388 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 538 28,901 0 09 Sep 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 188 3,198 0 15 Jun 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 115 2,048 0 04 Feb 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 292 3,271 0 17 Nov 2015
Image-based Recommendations on Styles and Substitutes Julian McAuley C. Targett Javen Qinfeng Shi Anton Van Den Hengel 110 2,383 0 15 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014