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

Theodoros Rekatsinas

Shivaram Venkataraman

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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