Update README.md

README.md

@@ -15,7 +15,7 @@ PGL v1.1 2020.4.29
 
 - We add newly graph level operators like **GraphPooling** and [**GraphNormalization**](https://arxiv.org/abs/2003.00982) for graph level predictions.
 
-- We relase a PGL-KE toolkit [here](./exmaples/pgl-ke) including classical knowledge graph algorithms like TransE, TransR, RotatE.
+- We relase a PGL-KE toolkit [here](./exmaples/pgl-ke) including classical knowledge graph embedding t algorithms like TransE, TransR, RotatE.
 
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README.zh.md

@@ -13,6 +13,7 @@
 
 - 新增了图级别的算子包括**GraphPooling**以及[**GraphNormalization**](https://arxiv.org/abs/2003.00982)，这样你就能实现更多复杂的图级别分类模型。
 
+- 新增PGL-KE工具包，里面包含许多经典知识图谱图嵌入算法，包括TransE, TransR, RotatE，详情可见[这里](./examples/pgl-ke)
 
 Paddle Graph Learning (PGL)是一个基于[PaddlePaddle](https://github.com/PaddlePaddle/Paddle)的高效易用的图学习框架