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BarclayII authored Feb 26, 2021
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## <img src="http://data.dgl.ai/asset/image/new.png" width="30">DGL News
**02/26/2021**: The new **v0.6.0 release** includes distributed heterogeneous graph support, 13 more model examples, a Chinese translation of user guide thank to community support, and a new tutorial. See our [release note](https://github.com/dmlc/dgl/releases/tag/v0.6.0) for more details.

**09/05/2020**: We invite you to participate in the survey [here](https://forms.gle/Ej3jHCocACmb49Gp8) to make DGL better fit for your needs. Thanks!

**08/21/2020**: The new **v0.5.0 release** includes distributed GNN training, overhauled documentation and user guide, and several more features. We have also submitted some models to the [OGB](https://ogb.stanford.edu) leaderboard. See our [release note](https://github.com/dmlc/dgl/releases/tag/0.5.0) for more details.

**06/11/2020**: Amazon Shanghai AI Lab and AWS Deep Engine Science team working along with academic collaborators from the University of Minnesota, The Ohio State University, and Hunan University have created the **[Drug Repurposing Knowledge Graph (DRKG)](https://github.com/gnn4dr/DRKG)** and a set of machine learning tools, [DGL-KE](https://github.com/awslabs/dgl-ke), that can be used to prioritize drugs for repurposing studies.
DRKG is a comprehensive biological knowledge graph that relates human genes, compounds, biological processes, drug side effects, diseases and symptoms. DRKG includes, curates, and normalizes information from six publicly available databases and data that were collected from recent publications related to Covid-19. It has 97,238 entities belonging to 13 types of entities, and 5,874,261 triplets belonging to 107 types of relations.
More about the dataset is in this [blogpost](https://www.dgl.ai/news/2020/06/09/covid.html).

## Using DGL

**A data scientist** may want to apply a pre-trained model to your data right away. For this you can use DGL's [Application packages, formally *Model Zoo*](https://github.com/dmlc/dgl/tree/master/apps). Application packages are developed for domain applications, as is the case for [DGL-LifeScience](https://github.com/awslabs/dgl-lifesci). We will soon add model zoo for knowledge graph embedding learning and recommender systems. Here's how you will use a pretrained model:
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