diff --git a/README.md b/README.md
index 9c27cbb9ff798fa2a142bbfdb4cd238f75035daa..bc56a5b6a11665f80f99c3a679b69e4a2272d268 100644
--- a/README.md
+++ b/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 |
diff --git a/README.zh.md b/README.zh.md
index 23c9ce282559df0c638247330cec4bf14fb24c88..a43c57b2765b8648a2d06c45fea485adc9ec8608 100644
--- a/README.zh.md
+++ b/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)
 
diff --git a/docs/source/md/introduction.md b/docs/source/md/introduction.md
index 5dd4b9fc52be80ddac53ec89298b8333584b9479..e5cc6cb4f22512367286fef0d510e7b821c021f3 100644
--- a/docs/source/md/introduction.md
+++ b/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 |