Fix the link of pytorch example in doc.

Author: baoleai

docs/en/algo/tf/tf_custom_model_tutorial.md

@@ -2,7 +2,7 @@
 
 ### GNNs
 #### Quick start
-If you want to quickly try the already implemented algorithm, please modify it according to [**examples**](../examples/tf), you mainly need to modify the data Decoder configuration for composition, configure reasonable arguments according to your own data and modify the graph sampling of GSL.  For EgoGraph based GNNs, we provide three examples **ego_sage**, **ego_gat**, **ego_bipartite_sage**, and for SubGraph based GNNs, we provide two examples **sage** and **seal**. See README.md for details.
+If you want to quickly try the already implemented algorithm, please modify it according to [**examples**](https://github.com/alibaba/graph-learn/tree/master/examples/tf), you mainly need to modify the data Decoder configuration for composition, configure reasonable arguments according to your own data and modify the graph sampling of GSL.  For EgoGraph based GNNs, we provide three examples **ego_sage**, **ego_gat**, **ego_bipartite_sage**, and for SubGraph based GNNs, we provide two examples **sage** and **seal**. See README.md for details.
 ​
 
 ### Customizing the model
@@ -13,7 +13,7 @@ For SubGraph, you need to add a new Conv layer and the corresponding model.
 ### Adding new data
 If you find that the current data format does not meet your needs, you need to modify to the data layer, including Dataset, EgoGraph, SubGraph/BatchGraph and other interfaces, to add the data you need. We are also continuing to improve EgoGraph and SubGraph/BatchGraph, hoping to achieve better compatibility.
 
-In addition, for more complex data, you can directly use the Data dict form, get the query converted tensor and organize the appropriate format by yourself.
+In addition, for more complex data, you can directly use the Data dict form, get the query converted tensor and organize the appropriate format by yourself. The example of [RGCN](https://github.com/alibaba/graph-learn/tree/master/examples/tf/ego_rgcn) is implemented by Data dict.
 ​
 ### Adding a sampling operator
 If you need to add sampling operators or other graph manipulation operators, you need to follow the already existing sampler for C++ Op development, please contact us if you have any questions.

docs/en/algo/torch/torch_custom_model_tutorial.md

@@ -96,4 +96,4 @@ If you don't want to use pyG, you can also manipulate the data based on the dict
 
 
 ### Example
-The full example is available at [examples/pytorch](. /examples/pytorch).
+The full example is available at [examples/pytorch](https://github.com/alibaba/graph-learn/tree/master/examples/pytorch).

docs/zh_CN/algo/tf/tf_custom_model_tutorial.md

@@ -2,7 +2,7 @@
 
 ### GNNs
 #### 快速开始
-如果你想快速尝试已经封装的算法，请根据[**examples**](../examples/tf)进行修改，主要需要修改构图时的数据Decoder配置，根据你自己的数据配置合理的参数，以及GSL的图采样逻辑。对EgoGraph based GNNs, 我们提供了**ego_sage**, **ego_gat**, **ego_bipartite_sage**三个示例，对于SubGraph based GNNs, 我们提供了**sage**和**seal**两个示例。详见README.md。
+如果你想快速尝试已经封装的算法，请根据[**examples**](https://github.com/alibaba/graph-learn/tree/master/examples/tf)进行修改，主要需要修改构图时的数据Decoder配置，根据你自己的数据配置合理的参数，以及GSL的图采样逻辑。对EgoGraph based GNNs, 我们提供了**ego_sage**, **ego_gat**, **ego_bipartite_sage**三个示例，对于SubGraph based GNNs, 我们提供了**sage**和**seal**两个示例。详见README.md。
 ​
 
 ### 自定义模型
@@ -14,7 +14,7 @@
 如果你发现目前的数据格式不能满足你的需求，你需要修改到数据层，包括Dataset, EgoGraph, SubGraph/BatchGraph等接口，将自己需要的数据加进去。我们也在持续完善EgoGraph和SubGraph/BatchGraph，希望能够做到更好的兼容性。
 ​
 
-此外，对于较为复杂的数据，可以直接使用Data dict的形式，获得query转换后的tensor后自行组织合适的格式。RGCN的示例就是通过Data dict的形式实现。
+此外，对于较为复杂的数据，可以直接使用Data dict的形式，获得query转换后的tensor后自行组织合适的格式。[RGCN](https://github.com/alibaba/graph-learn/tree/master/examples/tf/ego_rgcn)的示例就是通过Data dict实现。
 ​
 
 ### 新增采样算子

docs/zh_CN/algo/torch/torch_custom_model_tutorial.md

@@ -92,4 +92,4 @@ class PyGDataLoader(torch.utils.data.DataLoader):
 
 
 ### 示例
-完整示例见 [examples/pytorch](../examples/pytorch)。
+完整示例见 [examples/pytorch](https://github.com/alibaba/graph-learn/tree/master/examples/pytorch)。