Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
Summary: Proposes QD-GNN and AQD-GNN for Community Search and Attributed CS, merging query-driven local structure with global embeddings; models attributes via a bipartite graph to capture structure–attribute relations. Uses a Feature Fusion operator and an interactive setting to jointly infer communities, delivering 2.37% and 6.29% F1-score gains over baselines (no-attr, attr). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuli Jiang (Chinese University of Hong Kong)
- 2. Yu Rong (Tencent)
- 3. Hong Cheng (Chinese University of Hong Kong)
- 4. Xin Huang (Hong Kong Baptist University)
- 5. Kangfei Zhao (Tencent)
- 6. Junzhou Huang (Tencent)
BibTeX Citation
@article{jiang_vldb22,
title = {{Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed}},
author = {Jiang, Yuli and Rong, Yu and Cheng, Hong and Huang, Xin and Zhao, Kangfei and Huang, Junzhou},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {6},
pages = {1243--1255},
doi = {10.14778/3514061.3514070},
url = {https://doi.org/10.14778/3514061.3514070},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 |
| 285 | Local Search of Communities in Large Graphs | 2014 | SIGMOD | 0.00022150572 |
| 714 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014569079 |
| 1,092 | Truss-based Community Search: a Truss-equivalence Based Indexing Approach | 2017 | VLDB | 0.00012072382 |
| 1,129 | Approximate Closest Community Search in Networks | 2016 | VLDB | 0.00011903608 |
| 1,261 | Attribute-Driven Community Search | 2017 | VLDB | 0.00011289708 |
| 2,441 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB | 8.4621326e-05 |
| 3,160 | A Learned Sketch for Subgraph Counting | 2021 | SIGMOD | 7.5807496e-05 |
| 3,328 | Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity | 2015 | SIGMOD | 7.4193937e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 714 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB |
| 2 | 7,534 | CommunityAF: An Example-based Community Search Method via Autoregressive Flow | 2023 | VLDB |
| 3 | 7,150 | Topic-based Community Search over Spatial-Social Networks | 2020 | VLDB |
| 4 | 9,864 | Deep Overlapping Community Search via Subspace Embedding | 2025 | SIGMOD |
| 5 | 1,261 | Attribute-Driven Community Search | 2017 | VLDB |
| 6 | 5,998 | Neural Attributed Community Search at Billion Scale | 2023 | SIGMOD |
| 7 | 9,868 | A Flexible Framework for Query-oriented Interactive Community Search | 2025 | VLDB |
| 8 | 11,297 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB |
| 9 | 2,441 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB |
| 10 | 9,962 | Inductive Attributed Community Search: to Learn Communities across Graphs | 2024 | VLDB |