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# SuperMoon: A pytorch library for hypergraph learning.
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**SuperMoon** is a python toolbox for hypergraph-based deep learning, which is built upon [pytorch](https://pytorch.org/).
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# THU-SuperMoon: A pytorch library for hypergraph learning.
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**THU-SuperMoon** is a python toolbox for hypergraph-based deep learning, which is built upon [pytorch](https://pytorch.org/).
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Edge in hypergraph named hyperedge can link more than two nodes, which allows hyperedge to express more than pair-wise
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relation(like: entity-attribute relation, group relation, hierarchical relation and so on.). Thus, hypergraph owns more
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powerful model ability than common graph.
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## Citing THU-SuperMoon
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If you find **THU-SuperMoon** is useful in your research, please consider citing:
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```
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@inproceedings{feng2019hypergraph,
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title={Hypergraph neural networks},
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author={Feng, Yifan and You, Haoxuan and Zhang, Zizhao and Ji, Rongrong and Gao, Yue},
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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volume={33},
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pages={3558--3565},
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year={2019}
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}
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```
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Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao.
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**Hypergraph Neural Networks**
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AAAI 2019. [paper](http://gaoyue.org/paper/HGNN.pdf)
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Yue Gao, Meng Wang, Dacheng Tao, Rongrong Ji, Qionghai Dai.
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**3D Object Retrieval and Recognition with Hypergraph Analysis**
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TIP 2014. [paper](http://imt.xmu.edu.cn/publication/Image%20Processing-3D%20Object%20Retrieval%20and%20Recognition.pdf)
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## Contributing
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We always welcome contributions to help make SuperMoon better, and apply hypergraph in more applications. If you would like
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We always welcome contributions to help make THU-SuperMoon better, and apply hypergraph in more applications. If you would like
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to contribute, please [contact us](mailto:[email protected]).

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