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DisenHCN

This is the pytorch implementation of our ICDE'22 paper:

Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li, DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction, In Proceedings of IEEE 38th International Conference on Data Engineering (ICDE'22).

Environment: Pytorch == 1.12.1 and Python >= 3.6.8.

If you use our codes in your research, please cite:

@article{li2022disenhcn,
  title={DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction},
  author={Li, Yinfeng and Gao, Chen and Yao, Quanming and Li, Tong and Jin, Depeng and Li, Yong},
  journal={arXiv preprint arXiv:2208.06794},
  year={2022}
}

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The pytorch implementation of "DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction" (ICDE'22)

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