目录

Multi-View-Temporal-Graph-Clustering

  • Code of Paper “Multiview Temporal Graph Clustering (TNNLS 2025)”.

  • Before run the “main.py”, you need create floders “data” and “emb” that include different data set subfolders.

  • “data” and “emb” should be in the same directory as folder “code”.

  • The dataset with multi-view features can be obtained at Data4TGC.

  • The relevant project is:Deep Temporal Graph Clustering.

Cite us

@ARTICLE{MVTGC_ML_TNNLS,
  author={Liu, Meng and Liang, Ke and Yu, Hao and Meng, Lingyuan and Wang, Siwei and Zhou, Sihang and Liu, Xinwang},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={Multiview Temporal Graph Clustering}, 
  year={2025},
  pages={1-14}
}

@inproceedings{TGC_ML_ICLR,
  author={Liu, Meng and Liu, Yue and Liang, Ke and Tu, Wenxuan and Wang, Siwei and Zhou, Sihang and Liu, Xinwang},
  title={Deep Temporal Graph Clustering},
  booktitle={The 12th International Conference on Learning Representations},
  year={2024}
}
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