[README] Update README.md (#1317)

* Update README.md

* Update README.md

* Update README.md
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

README.md

@@ -15,7 +15,7 @@ DGL is an easy-to-use, high performance and scalable Python package for deep lea
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 ## <img src="http://data.dgl.ai/asset/image/new.png" width="30">DGL News
-03/02/2020: DGL has be chosen as the implemenation base for [Graph Neural Network benchmark framework](https://arxiv.org/abs/2003.00982), which enchmarks framework to novel medium-scale graph datasets from mathematical modeling, computer vision, chemistry and combinatorial problems. Models implemented are [here](https://github.com/graphdeeplearning/benchmarking-gnns).
+03/02/2020: **Check out this cool paper: [Benchmarking Graph Neural Networks](https://arxiv.org/abs/2003.00982)!**  It includes a DGL-based benchmark framework for novel medium-scale graph datasets, covering mathematical modeling, computer vision, chemistry and combinatorial problems.  See [repo here](https://github.com/graphdeeplearning/benchmarking-gnns).
 
 ## Using DGL