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December 2023
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling
- Zhen Song,
- Yu Gu,
- Tianyi Li,
- Qing Sun,
- Yanfeng Zhang,
- Christian S. Jensen,
- Ge Yu
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 4Article No.: 229, Pages 1–26https://doi.org/10.1145/3626716

Distributed computing is promising to enable large-scale graph neural network (GNN) model training. However, care is needed to avoid excessive computational and communication overheads. Sampling is promising in terms of enabling scalability, and sampling ...
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