@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}
}
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.
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