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code for "Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy"

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This project implements the code for the paper "Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy", which has been accepted to VLDB 2026.

If you use this project, please cite:

@inproceedings{zhang2026breaking, 
    title      ={Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy}, 
    author     ={Zhang, Jingyun and Peng, Hao and Li, Jianxin and Li, Angsheng and Yu, Philip S}, 
    booktitle  ={International Conference on Very Large Data Bases},
    year       ={2026}, 
    publisher  ={VLDB Endowment},
    volume     ={19}, 
    number     ={11},
    pages      ={3497–3510}, 
    doi        ={10.14778/3836663.3836704},
    url        ={https://doi.org/10.14778/3836663.3836704}
    } 

If you have any questions, feel free to open an issue or email to: zhangjingyun@buaa.edu.cn

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code for "Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy"

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