# <img src="https://github.com/awslabs/dgl-ke/blob/master/img/logo.png" width = "400"/>

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](./LICENSE)

[Documentation](https://dglke.dgl.ai/doc/)

# This is an implementation of DGL-KE for OGB-LSC

Check out [the original repo](https://github.com/awslabs/dgl-ke) for more details.

### Cite

If you use DGL-KE in a scientific publication, we would appreciate citations to the following paper:

```bibtex
@inproceedings{DGL-KE,
author = {Zheng, Da and Song, Xiang and Ma, Chao and Tan, Zeyuan and Ye, Zihao and Dong, Jin and Xiong, Hao and Zhang, Zheng and Karypis, George},
title = {DGL-KE: Training Knowledge Graph Embeddings at Scale},
year = {2020},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {739–748},
numpages = {10},
series = {SIGIR '20}
}
```

### License

This project is licensed under the Apache-2.0 License.
