Search Results for author: Alok Tripathy

Found 2 papers, 1 papers with code

Distributed Matrix-Based Sampling for Graph Neural Network Training

no code implementations6 Nov 2023 Alok Tripathy, Katherine Yelick, Aydin Buluc

We provide experimental results on the largest Open Graph Benchmark (OGB) datasets on $128$ GPUs, and show that our pipeline is $2. 5\times$ faster than Quiver (a distributed extension to PyTorch-Geometric) on a $3$-layer GraphSAGE network.

Reducing Communication in Graph Neural Network Training

2 code implementations7 May 2020 Alok Tripathy, Katherine Yelick, Aydin Buluc

Graph Neural Networks (GNNs) are powerful and flexible neural networks that use the naturally sparse connectivity information of the data.

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