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MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural
  Networks

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks

4 February 2022
R. Waleffe
J. Mohoney
Theodoros Rekatsinas
Shivaram Venkataraman
    GNN
ArXivPDFHTML

Papers citing "MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks"

16 / 16 papers shown
Title
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage
Yongjun He
R. Waleffe
Zhichao Han
Johnu George
Binhang Yuan
...
Yinan Shan
Yang Zhao
Debojyoti Dutta
Theodoros Rekatsinas
Ce Zhang
AIFin
33
0
0
02 Apr 2025
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
R. Waleffe
Devesh Sarda
J. Mohoney
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
47
0
0
25 Feb 2025
MassiveGNN: Efficient Training via Prefetching for Massively Connected
  Distributed Graphs
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
Aishwarya Sarkar
Sayan Ghosh
Nathan Tallent
Ali Jannesari
GNN
31
2
0
30 Oct 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing
  Data Transfer Scheme
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
Jeongmin Brian Park
Kun Wu
Vikram Sharma Mailthody
Zaid Quresh
Scott Mahlke
Wen-mei W. Hwu
GNN
25
0
0
21 Jul 2024
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
21
1
0
20 Jun 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN
  Training
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
Renjie Liu
Yichuan Wang
Xiao Yan
Zhenkun Cai
Minjie Wang
Haitian Jiang
Bo Tang
Jinyang Li
GNN
37
2
0
08 May 2024
Single-GPU GNN Systems: Traps and Pitfalls
Single-GPU GNN Systems: Traps and Pitfalls
Yidong Gong
A. Tarafder
Saima Afrin
Pradeep Kumar
GNN
22
3
0
05 Feb 2024
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale
  Graphs with In-memory Performance
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance
Jie Sun
Mo Sun
Zheng Zhang
Jun Xie
Zuocheng Shi
Zihan Yang
Jie M. Zhang
Fei Wu
Zeke Wang
GNN
37
5
0
02 Oct 2023
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
Michael Färber
David Lamprecht
J. Krause
Lin Aung
P. Haase
19
10
0
07 Aug 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
Yizhou Sun
GNN
AI4CE
29
22
0
24 Jun 2023
Growing and Serving Large Open-domain Knowledge Graphs
Growing and Serving Large Open-domain Knowledge Graphs
Ihab F. Ilyas
JP Lacerda
Yunyao Li
U. F. Minhas
Ali Mousavi
Jeffrey Pound
Theodoros Rekatsinas
C. Sumanth
29
7
0
16 May 2023
High-Throughput Vector Similarity Search in Knowledge Graphs
High-Throughput Vector Similarity Search in Knowledge Graphs
J. Mohoney
Anil Pacaci
S. R. Chowdhury
Ali Mousavi
Ihab F. Ilyas
U. F. Minhas
Jeffrey Pound
Theodoros Rekatsinas
23
25
0
04 Apr 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
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
Accelerating Training and Inference of Graph Neural Networks with Fast
  Sampling and Pipelining
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
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
94
11
0
18 Jan 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
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
189
743
0
03 Sep 2019
1