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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)

Paper ID
13813
Venue
VLDB
Year
2024
Pagerank
5.8192133e-05
Overall Rank
6,630 | 54.52%
DOI
10.14778/3685800.3685844

Incoming Non-self Citations Over Time

Authors

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}
}

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