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Graph Summarization: Compactness Meets Efficiency

Summary: Graph summarization with exact reconstruction, targeting the long-standing compactness/efficiency tradeoff. Mags accelerates the greedy, most-compact paradigm with novel design; Mags-DM uses a different practical paradigm, both parallelizable and near-best in compactness at billion-scale. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
hb9bcc4bf81a055ba
Venue
SIGMOD
Year
2024
Pagerank
4.9793485e-05
Overall Rank
11,523 | 22.53%
DOI
10.1145/3654943

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Authors

BibTeX Citation

@inproceedings{chu_sigmod24,
        title = {{Graph Summarization: Compactness Meets Efficiency}},
        author = {Chu, Deming and Zhang, Fan and Zhang, Wenjie and Zhang, Ying and Lin, Xuemin},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654943},
        url = {https://dl.acm.org/doi/10.1145/3654943},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
8,895 Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks 2024 VLDB 5.2559789e-05
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