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Slight changed the documentation. #19

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6 changes: 4 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ The one-step implementation of GraphCast architecture, is provided in
[Python](https://www.python.org/),
[SciPy](https://scipy.org/),
[Tree](https://github.com/deepmind/tree),
[Trimesh](https://github.com/mikedh/trimesh) and
[Trimesh](https://github.com/mikedh/trimesh), and
[XArray](https://github.com/pydata/xarray).


Expand Down Expand Up @@ -113,15 +113,17 @@ Copyright 2023 DeepMind Technologies Limited.

### Citation

If you use this work, consider citing our [paper](https://arxiv.org/abs/2212.12794):
If you want to download the pdf of this [paper](https://arxiv.org/pdf/2212.12794.pdf).

If you want to cite our paper, please use this bibtex in your latex:
```latex
@article{lam2022graphcast,
title={GraphCast: Learning skillful medium-range global weather forecasting},
author={Remi Lam and Alvaro Sanchez-Gonzalez and Matthew Willson and Peter Wirnsberger and Meire Fortunato and Alexander Pritzel and Suman Ravuri and Timo Ewalds and Ferran Alet and Zach Eaton-Rosen and Weihua Hu and Alexander Merose and Stephan Hoyer and George Holland and Jacklynn Stott and Oriol Vinyals and Shakir Mohamed and Peter Battaglia},
year={2022},
eprint={2212.12794},
archivePrefix={arXiv},
journal={arXiv preprint arXiv:2212.12794},
primaryClass={cs.LG}
}
```