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GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on
  Dynamic Graphs
v1v2 (latest)

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs

29 November 2023
Yuchen Zhong
Guangming Sheng
Tianzuo Qin
Minjie Wang
Quan Gan
Chuan Wu
    AI4CEGNN
ArXiv (abs)PDFHTML

Papers citing "GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs"

4 / 4 papers shown
Title
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU HoursProceedings of the VLDB Endowment (PVLDB), 2024
Yuxin Yang
Hongkuan Zhou
Rajgopal Kannan
Viktor Prasanna
223
1
0
31 Dec 2024
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
260
2
0
19 Aug 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models,
  Frameworks, Benchmarks, Experiments and Challenges
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
AI4CE
277
32
0
01 May 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
238
12
0
23 Feb 2024
1