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FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
v1v2v3 (latest)

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training

Proceedings of the VLDB Endowment (PVLDB), 2023
18 January 2023
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng Zhang
    GNN
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training"

2 / 2 papers shown
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction ModelingInternational Journal of Automation and Computing (IJAC), 2021
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Shu Wu
773
30
0
24 Feb 2025
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Heta: Distributed Training of Heterogeneous Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024
Yuchen Zhong
Junwei Su
Chuan Wu
Minjie Wang
352
2
0
19 Aug 2024
1
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