Preprint
Jul 2026
Taurus: Accelerating Out-of-Core Graph Neural Network Inference on Billion-Scale Graphs
Taurus is presented, a single-machine system for GNN inference on graphs that do not fit in RAM, supporting both full-graph inference and fanout-sampled inference, and outperforms the strongest layer-wise baseline, DGI.
Pranjal Naman, Yogesh L. Simmhan
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