22 citations · 34 across the 6 of their papers we have counts for
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cs.LG2023★ 22 cited
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov, Denis Kuznedelev, Michael Diskin +2
Node classification is a classical graph machine learning task on which Graph Neural Networks (GNNs) have recently achieved strong results. However, it is often believed that stand…
cs.DC2023★ 6 cited
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Max Ryabinin, Tim Dettmers, Michael Diskin +1
Many deep learning applications benefit from using large models with billions of parameters. Training these models is notoriously expensive due to the need for specialized HPC clus…