C-SAW: A Framework for Graph Sampling and Random Walk on GPUs

18 September 2020

Papers citing "C-SAW: A Framework for Graph Sampling and Random Walk on GPUs"

20 / 20 papers shown

Title
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours Yuxin Yang Hongkuan Zhou Rajgopal Kannan Viktor Prasanna 41 0 0 31 Dec 2024
Approximating Spanning Centrality with Random Bouquets Gökhan Göktürk Kamer Kaya 13 0 0 17 Oct 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 32 1 0 23 Sep 2024
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch Saurabh Bajaj Hui Guan Marco Serafini GNN 33 1 0 01 Jun 2024
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework Jun-Hua Mei Shixuan Sun Chao Li Cheng Xu Cheng Chen ... Cheng Zhao Xiao-Ke Hou Minyi Guo Bingsheng He Xiaoliang Cong 21 4 0 12 Apr 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning Gangda Deng Hongkuan Zhou Hanqing Zeng Yinglong Xia Christopher Leung Jianbo Li Rajgopal Kannan Viktor Prasanna 24 1 0 08 Feb 2024
GraphScope Flex: LEGO-like Graph Computing Stack Tao He Shuxian Hu Longbin Lai Dongze Li Neng Li ... Lei Zhang Siyuan Zhang Jingren Zhou Xiaolin Zhou Diwen Zhu GNN 20 5 0 19 Dec 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Yuchen Zhong Guangming Sheng Tianzuo Qin Minjie Wang Quan Gan Chuan Wu AI4CE GNN 31 6 0 29 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network Training Alok Tripathy Katherine Yelick A. Buluç 21 3 0 06 Nov 2023
Tango: rethinking quantization for graph neural network training on GPUs Shiyang Chen Da Zheng Caiwen Ding Chengying Huan Yuede Ji Hang Liu GNN MQ 31 5 0 02 Aug 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi Ren Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 33 10 0 24 Mar 2023
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks Xing Su Jian Yang Jia Wu Yuchen Zhang GNN 19 18 0 21 Dec 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 34 77 0 16 Dec 2021
Dr. Top-k: Delegate-Centric Top-k on GPUs Anil Gaihre Da Zheng Scott Weitze Lingda Li Shuaiwen Leon Song Caiwen Ding Xin Li Hang Liu 26 9 0 16 Sep 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021
TRUST: Triangle Counting Reloaded on GPUs Santosh Pandey Zhibin Wang Shengzhou Zhong Chen Tian Bolong Zheng ... Lingda Li A. Hoisie Caiwen Ding Dong Li Hang Liu 17 26 0 14 Mar 2021
gIM: GPU Accelerated RIS-based Influence Maximization Algorithm Soheil Shahrouz Saber Salehkaleybar Matin Hashemi 12 11 0 15 Sep 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 746 0 03 Sep 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 206 885 0 07 Jun 2018