Search Results for author: Anne Ouyang

Found 1 papers, 1 papers with code

Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

1 code implementation16 Oct 2021 Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen

Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of multi-hop graph neighborhoods along network layers.

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