Efficient Training of Graph Neural Networks on Large Graphs
Summary: Tutorial framing efficient GNN training on massive graphs via a data-management perspective across the graph lifecycle—preprocessing, batching, data transfer, and model training. Surveys DB techniques for static vs. dynamic graphs and pinpoints open research directions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yanyan Shen (Shanghai Jiao Tong University)
- 2. Lei Chen (Hong Kong University of Science and Technology)
- 3. Jingzhi Fang (Hong Kong University of Science and Technology)
- 4. Xin Zhang (Hong Kong University of Science and Technology)
- 5. Shihong Gao (Hong Kong University of Science and Technology)
- 6. Hongbo Yin (Hong Kong University of Science and Technology)
BibTeX Citation
@article{shen_vldb24,
title = {{Efficient Training of Graph Neural Networks on Large Graphs}},
author = {Shen, Yanyan and Chen, Lei and Fang, Jingzhi and Zhang, Xin and Gao, Shihong and Yin, Hongbo},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4237--4240},
doi = {10.14778/3685800.3685844},
url = {https://doi.org/10.14778/3685800.3685844},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,601 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | 2025 | VLDB | 5.5866563e-05 |
| 10,309 | A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness | 2026 | SIGMOD | 5.093636e-05 |
| 10,323 | NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters | 2026 | SIGMOD | 5.093636e-05 |
| 10,835 | NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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