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BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
We present BatchGNN, a distributed CPU system that showcases techniques that can be used to efficiently train GNNs on terabyte-sized graphs.
Optimizing Graph Transformer Networks with Graph-based Techniques
Unfortunately, the space overhead of this approach can be large, so in practice it is used only for small graphs.
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