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 <img src="./docs/source/_static/logo.png" alt="The logo of Paddle Graph Learning (PGL)" width="320">
 
+[![PyPi Latest Release](https://img.shields.io/pypi/v/pgl.svg)](https://pypi.org/project/pgl/)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](./LICENSE)
+
 [DOC](https://pgl.readthedocs.io/en/latest/) | [Quick Start](https://pgl.readthedocs.io/en/latest/quick_start/instruction.html) | [中文](./README.zh.md)
 
 ## Breaking News !!
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 - PGL for [Open Graph Benchmark](https://github.com/snap-stanford/ogb) examples can be find [here](./ogb_exmaples/).
 
+- We add newly graph level operators like GraphPooling and [GraphNormalization](https://arxiv.org/abs/2003.00982) for graph level predictions.
+
 ------
 
 Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on [PaddlePaddle](https://github.com/PaddlePaddle/Paddle).