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[Doc] Fix perf doc (dmlc#3177)
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jermainewang authored Jul 23, 2021
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Expand Up @@ -20,9 +20,12 @@ are available in `a standalone repository <https://github.com/dglai/dgl-0.5-benc
v0.5 Benchmarks
---------------

Here is a summary of the system evaluation results from our paper `Deep Graph Library:
Check out our paper `Deep Graph Library:
A Graph-Centric, Highly-Performant Package for Graph Neural Networks <https://arxiv.org/abs/1909.01315>`_.

v0.4.3 Benchmarks
------------------

**Microbenchmark on speed and memory usage**:
While leaving tensor and autograd functions to backend frameworks (e.g.
PyTorch, MXNet, and TensorFlow), DGL aggressively optimizes storage and
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