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Effective Community Search for Large Attributed Graphs

Summary: Introduces attributed community search that jointly enforces graph cohesion and shared keywords, enabling precise, personalized communities. The CL-tree index and three search algorithms scale effectively on large Flickr, DBLP, Tencent, and DBpedia graphs. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h131c09bdc58964a5
Venue
VLDB
Year
2016
Pagerank
0.00014671367
Overall Rank
696 | 95.34%
DOI
10.14778/2994509.2994538
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fang_vldb16,
        title = {{Effective Community Search for Large Attributed Graphs}},
        author = {Fang, Yixiang and Cheng, Reynold and Luo, Siqiang and Hu, Jiafeng},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {12},
        pages = {1233},
        doi = {10.14778/2994509.2994538},
        url = {https://doi.org/10.14778/2994509.2994538},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
11,634 Distributed Shortest Distance Labeling on Large-Scale Graphs 2024 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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