A Flexible Framework for Query-oriented Interactive Community Search
Summary: GICS: flexible interactive community-search framework unifying models via M(G,M,O,P); supports user-in-loop add/delete feedback, personalized add/delete recs, auto-tuning and partial refinement. Three model deployments, +22% F1 on ground-truth and sub-second responses for real-time single-connected community extraction. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Longxu Sun (Hong Kong Baptist University)
- 2. Xin Huang (Hong Kong Baptist University)
- 3. Jiannan Wang (Huawei; Simon Fraser University)
- 4. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{sun_vldb25,
title = {{A Flexible Framework for Query-oriented Interactive Community Search}},
author = {Sun, Longxu and Huang, Xin and Wang, Jiannan and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {6},
pages = {1977--1990},
doi = {10.14778/3725688.3725720},
url = {https://doi.org/10.14778/3725688.3725720},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,273 | Nucleus Decomposition Revisited: An Efficient Counting-Based Approach | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 37 of 37 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 9 | 2,873 | Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed | 2022 | VLDB |
| 10 | 2,383 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB |