**07/22/2021**: The new **v0.7.0 release** includes a number of system optimizations, new models, new features and enhancements and bugfixes. See our [release note](https://github.com/dmlc/dgl/releases/tag/v0.7.0) for more details.
**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.
**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!
**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.
## Using DGL
## 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:
**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:
