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Scalable Graph Neural Network Training: The Case for Sampling

Scalable Graph Neural Network Training: The Case for Sampling

ACM SIGOPS Operating Systems Review (OSR), 2021
5 May 2021
Marco Serafini
Hui Guan
    GNN
ArXiv (abs)PDFHTML

Papers citing "Scalable Graph Neural Network Training: The Case for Sampling"

11 / 11 papers shown
Title
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Qia Hu
Bo Jiao
361
0
0
02 Mar 2025
Reducing Memory Contention and I/O Congestion for Disk-based GNN
  Training
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
Qisheng Jiang
Lei Jia
Chundong Wang
GNN
225
6
0
20 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of
  Full-Graph and Mini-Batch
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Saurabh Bajaj
Hui Guan
Marco Serafini
GNN
277
10
0
01 Jun 2024
Social-LLM: Modeling User Behavior at Scale using Language Models and
  Social Network Data
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data
Julie Jiang
Emilio Ferrara
148
16
0
31 Dec 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Luke Huan
GNNAI4CE
219
32
0
24 Jun 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
270
53
0
23 May 2023
Distributed Graph Embedding with Information-Oriented Random Walks
Distributed Graph Embedding with Information-Oriented Random WalksProceedings of the VLDB Endowment (PVLDB), 2023
Peng Fang
Arijit Khan
Siqiang Luo
Fang Wang
Dan Feng
Zhenli Li
Wei Yin
Yu Cao
GNN
199
13
0
28 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform
Towards a GML-Enabled Knowledge Graph PlatformIEEE International Conference on Data Engineering (ICDE), 2023
Hussein Abdallah
Essam Mansour
171
5
0
03 Mar 2023
Scalable Graph Convolutional Network Training on Distributed-Memory
  Systems
Scalable Graph Convolutional Network Training on Distributed-Memory SystemsProceedings of the VLDB Endowment (PVLDB), 2022
G. Demirci
Aparajita Haldar
Hakan Ferhatosmanoglu
GNN
294
16
0
09 Dec 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
426
72
0
19 May 2022
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural NetworksACM Computing Surveys (ACM CSUR), 2020
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNNAI4CE
315
22
0
11 Oct 2020
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