diff --git a/README.md b/README.md index c75bae7a20de44958809abf9916320d9735a5a41..08a1dfdc4a58e6b78a1781c3728377c6e793265e 100644 --- a/README.md +++ b/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. ------ diff --git a/README.zh.md b/README.zh.md index c943fee7492051bb18c39653d2f9d4f9f8dd5470..72e4fcee23ff3309e700a6790fec1339e81e684b 100644 --- a/README.zh.md +++ b/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