ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network
Summary: ICS-GNN uses GNN-based vertex classification on a subgraph built on the fly for interactive community search. Introduces kMG communities with ranking-loss integration and expanded search, enabling iterative, user-guided expansion at low overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jun Gao (Peking University)
- 2. Jiazun Chen (Peking University)
- 3. Zhao Li (Alibaba)
- 4. Ji Zhang (Zhejiang Lab)
BibTeX Citation
@article{gao_vldb21,
title = {{ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network}},
author = {Gao, Jun and Chen, Jiazun and Li, Zhao and Zhang, Ji},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {1006--1018},
doi = {10.14778/3447689.3447704},
url = {https://doi.org/10.14778/3447689.3447704},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 184 | Querying K-Truss Community in Large and Dynamic Graphs | 2014 | SIGMOD | 0.00026100147 |
| 284 | Online Search of Overlapping Communities | 2013 | SIGMOD | 0.00022208562 |
| 714 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014569079 |
| 1,007 | Influential Community Search in Large Networks | 2015 | VLDB | 0.00012556573 |
| 1,261 | Attribute-Driven Community Search | 2017 | VLDB | 0.00011289708 |
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