DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

11 October 2020

George Karypis

Papers citing "DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs"

39 / 39 papers shown

Title
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and Analytics Milad Rezaei Hajidehi Sraavan Sridhar Margo Seltzer 28 2 0 13 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 33 5 0 05 Dec 2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 19 1 0 29 Aug 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding Xiangshan Chen Yongxiang Liao Yun Xiong Yao Zhang Si-Yuan Zhang Jiawei Zhang Yiheng Sun 19 6 0 27 Aug 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training Hongkuan Zhou Da Zheng Xiang Song George Karypis Viktor Prasanna GNN 19 13 0 14 Jul 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 21 9 0 01 Jun 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 33 23 0 23 May 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 13 11 0 28 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 24 5 0 02 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 30 37 0 27 Feb 2023
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems M. Schuetz J. K. Brubaker H. Katzgraber 30 2 0 03 Feb 2023
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set M. Schuetz J. K. Brubaker H. Katzgraber 20 10 0 03 Feb 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023
Tuning the Tail Latency of Distributed Queries Using Replication Nathan Ng Hung-Cuong Le Marco Serafini 11 0 0 20 Dec 2022
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition Junwei Su GNN 17 0 0 11 Dec 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 28 3 0 28 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry Hatem Helal J. Firoz Jenna A. Bilbrey M. M. Krell Tom Murray Ang Li S. Xantheas Sutanay Choudhury GNN 31 5 0 25 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 13 1 0 11 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 29 14 0 19 Oct 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 22 98 0 09 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 55 0 19 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 27 48 0 10 May 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs Hongkuan Zhou Da Zheng Israt Nisa Vasileios Ioannidis Xiang Song George Karypis AI4CE 26 86 0 28 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 27 75 0 21 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui GNN 27 59 0 01 Mar 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 22 25 0 04 Feb 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 31 5 0 08 Jan 2022
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs Da Zheng Xiang Song Chengrun Yang Dominique LaSalle George Karypis 3DH GNN 21 55 0 31 Dec 2021
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 Yanghua Peng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 26 77 0 16 Dec 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 27 2 0 05 Nov 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 68 52 0 16 Oct 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 16 31 0 02 Aug 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 39 23 0 05 May 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 42 11 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 19 9 0 20 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 25 119 0 14 Apr 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 10 67 0 04 Mar 2021