Merge pull request #12 from Liwb5/master

update readme

README.md

@@ -81,7 +81,7 @@ In most cases of large-scale graph learning, we need distributed graph storage a
 <img src="./docs/source/_static/distributed_frame.png" alt="The distributed frame of PGL" width="800">
 
 
-## Highlight: Tons of Models
+## Model Zoo
 The following are 13 graph learning models that have been implemented in the framework. See the details [here](https://pgl.readthedocs.io/en/latest/introduction.html#highlight-tons-of-models)
 
 |Model | feature |

README.zh.md

@@ -75,7 +75,7 @@ Paddle Graph Learning (PGL)是一个基于[PaddlePaddle](https://github.com/Padd
 <img src="./docs/source/_static/distributed_frame.png" alt="The distributed frame of PGL" width="800">
 
 
-## 特色：丰富性——覆盖业界大部分图学习网络
+## 丰富性——覆盖业界大部分图学习网络
 
 下列是框架中已经自带实现的十三种图网络学习模型。详情请参考[这里](https://pgl.readthedocs.io/en/latest/introduction.html#highlight-tons-of-models)
 

docs/source/md/introduction.md

@@ -96,7 +96,7 @@ In most cases of large-scale graph learning, we need distributed graph storage a
 <div/>
 
 
-## Highlight: Tons of Models
+## Model Zoo
 The following are 13 graph learning models that have been implemented in the framework.
 
 |Model | feature |