111 citations · 287 across the 8 of their papers we have counts for
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cs.LG2021★ 21 cited
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Tim Kaler, Nickolas Stathas, Anne Ouyang +4
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…
cs.DS2021
Multidimensional Included and Excluded Sums
Helen Xu, Sean Fraser, Charles E. Leiserson
This paper presents algorithms for the included-sums and excluded-sums problems used by scientific computing applications such as the fast multipole method. These problems are defi…