diff --git a/README.md b/README.md index 6f6c7c2caea12882e3d37da9a329130e279ab5e8..cf0195161a38750dd54c040ee4bce50801d04f5a 100644 --- a/README.md +++ b/README.md @@ -82,7 +82,7 @@ In most cases of large-scale graph learning, we need distributed graph storage a ## 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) +The following are 14 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 90717a073126578ee81c3f466c567af3df056338..84d41db815461e457d59b7758b9528fadbcd859e 100644 --- a/README.zh.md +++ b/README.zh.md @@ -77,7 +77,7 @@ Paddle Graph Learning (PGL)是一个基于[PaddlePaddle](https://github.com/Padd ## 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) +下列是框架中已经自带实现的十四种图网络学习模型。详情请参考[这里](https://pgl.readthedocs.io/en/latest/introduction.html#highlight-tons-of-models) | 模型 | 特点 | |---|---|