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Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques

Summary: Tutorial surveying densest-subgraph discovery across community detection, indexing, motifs, and fraud detection, emphasizing application-driven challenges and links to flow/matching. It taxonomizes and compares ~50 database/data-mining solutions, then identifies open research directions. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h3c2df76475967ec0
Venue
VLDB
Year
2022
Pagerank
4.9793485e-05
Overall Rank
11,916 | 19.89%
DOI
10.14778/3554821.3554895

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BibTeX Citation

@article{fang_vldb22,
        title = {{Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques}},
        author = {Fang, Yixiang and Luo, Wensheng and Ma, Chenhao},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3766--3769},
        doi = {10.14778/3554821.3554895},
        url = {https://doi.org/10.14778/3554821.3554895},
        year = {2022}
}

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