A Comprehensive Survey and Experimental Study of Learning-based Community Search
Summary: Survey and empirical study of learning-based community search: unified pipeline, taxonomy of community definitions, richer quality metrics, and detailed train/search overhead evaluation. Benchmarks methods to analyze metric correlations and reveal evaluation biases. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaoxuan Gou (Fudan University)
- 2. Weiguo Zheng (Fudan University)
- 3. Yuxiang Wang (Hangzhou Dianzi University)
- 4. Xiaoliang Xu (Hangzhou Dianzi University)
- 5. Zhiyuan Yu (Hangzhou Dianzi University)
BibTeX Citation
@article{gou_vldb25,
title = {{A Comprehensive Survey and Experimental Study of Learning-based Community Search}},
author = {Gou, Xiaoxuan and Zheng, Weiguo and Wang, Yuxiang and Xu, Xiaoliang and Yu, Zhiyuan},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {2941--2954},
doi = {10.14778/3746405.3746419},
url = {https://doi.org/10.14778/3746405.3746419},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,413 | To Learn or Not to Learn? An In-depth Empirical Analysis of Community Search Approaches | 2027 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 10,413 | To Learn or Not to Learn? An In-depth Empirical Analysis of Community Search Approaches | 2027 | SIGMOD |