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Aydin Buluc

Ramki

Distributed Matrix-Based Sampling for Graph Neural Network Training

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Nov 06, 2023
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Randomized Algorithms for Scientific Computing (RASC)

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Apr 19, 2021
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PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction

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Oct 30, 2020
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Reducing Communication in Graph Neural Network Training

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May 07, 2020
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Integrated Model, Batch and Domain Parallelism in Training Neural Networks

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May 16, 2018
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Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation

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Apr 08, 2018
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