Attribute-Driven Community Search
Summary: Introduces attributed truss communities (ATCs): connected k-trusses containing query nodes that maximize attribute relevance, jointly enforcing structural cohesion and attribute similarity. A greedy attribute-peeling framework and index enable efficient processing despite NP-hardness. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Huang (Hong Kong Baptist University)
- 2. Laks V.S. Lakshmanan (University of British Columbia)
BibTeX Citation
@article{huang_vldb17,
title = {{Attribute-Driven Community Search}},
author = {Huang, Xin and Lakshmanan, Laks V.S.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {9},
pages = {949--960},
doi = {10.14778/3099622.3099628},
url = {https://doi.org/10.14778/3099622.3099628},
year = {2017}
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