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SherylHYX committed Jun 21, 2024
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4 changes: 2 additions & 2 deletions CITATION.cff
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Expand Up @@ -31,6 +31,6 @@ preferred-citation:
given-names: "Mihai"
- family-names: "Reinert"
given-names: "Gesine"
journal: "arXiv preprint arXiv:2202.10793"
journal: "Learning on Graphs Conference"
title: "PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs"
year: 2022
year: 2024
14 changes: 8 additions & 6 deletions README.md
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Expand Up @@ -30,12 +30,14 @@ We also provide detailed examples in the [examples](https://github.com/SherylHYX
If you find *PyTorch Geometric Signed Directed* useful in your research, please consider adding the following citation:

```bibtex
@article{he2022pytorch,
title={{PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs}},
author={He, Yixuan and Zhang, Xitong and Huang, Junjie and Rozemberczki, Benedek and Cucuringu, Mihai and Reinert, Gesine},
journal={arXiv preprint arXiv:2202.10793},
year={2022}
}
@inproceedings{he2024pytorch,
title={Pytorch Geometric Signed Directed: A software package on graph neural networks for signed and directed graphs},
author={He, Yixuan and Zhang, Xitong and Huang, Junjie and Rozemberczki, Benedek and Cucuringu, Mihai and Reinert, Gesine},
booktitle={Learning on Graphs Conference},
pages={12--1},
year={2024},
organization={PMLR}
}
```

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14 changes: 8 additions & 6 deletions docs/source/notes/introduction.rst
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Expand Up @@ -11,12 +11,14 @@ If you find *PyTorch Geometric Signed Directed* useful in your research, please

.. code-block:: latex

>@article{he2022pytorch,
title={{PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs}},
author={He, Yixuan and Zhang, Xitong and Huang, Junjie and Rozemberczki, Benedek and Cucuringu, Mihai and Reinert, Gesine},
journal={arXiv preprint arXiv:2202.10793},
year={2022}
}
>@inproceedings{he2024pytorch,
title={Pytorch Geometric Signed Directed: A software package on graph neural networks for signed and directed graphs},
author={He, Yixuan and Zhang, Xitong and Huang, Junjie and Rozemberczki, Benedek and Cucuringu, Mihai and Reinert, Gesine},
booktitle={Learning on Graphs Conference},
pages={12--1},
year={2024},
organization={PMLR}
}

We briefly overview the fundamental concepts and features of PyTorch Geometric Signed Directed through simple examples.

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