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 |
|---|---|---|---|---|
| 189 | Querying K-Truss Community in Large and Dynamic Graphs | 2014 | SIGMOD | 0.00026114928 |
| 273 | Online Search of Overlapping Communities | 2013 | SIGMOD | 0.00022671795 |
| 276 | Local Search of Communities in Large Graphs | 2014 | SIGMOD | 0.00022620623 |
| 706 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014789612 |
| 1,069 | Truss-based Community Search: a Truss-equivalence Based Indexing Approach | 2017 | VLDB | 0.00012323497 |
| 1,113 | Approximate Closest Community Search in Networks | 2016 | VLDB | 0.00012124571 |
| 1,239 | Attribute-Driven Community Search | 2017 | VLDB | 0.000115381 |
| 2,383 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB | 8.6527736e-05 |
| 3,261 | Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity | 2015 | SIGMOD | 7.5853837e-05 |
| 3,283 | A Learned Sketch for Subgraph Counting | 2021 | SIGMOD | 7.56675e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 706 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB |
| 2 | 7,391 | CommunityAF: An Example-based Community Search Method via Autoregressive Flow | 2023 | VLDB |
| 3 | 7,006 | Topic-based Community Search over Spatial-Social Networks | 2020 | VLDB |
| 4 | 9,688 | Deep Overlapping Community Search via Subspace Embedding | 2025 | SIGMOD |
| 5 | 1,239 | Attribute-Driven Community Search | 2017 | VLDB |
| 6 | 5,877 | Neural Attributed Community Search at Billion Scale | 2023 | SIGMOD |
| 7 | 9,691 | A Flexible Framework for Query-oriented Interactive Community Search | 2025 | VLDB |
| 8 | 10,900 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB |
| 9 | 2,383 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB |
| 10 | 9,782 | Inductive Attributed Community Search: to Learn Communities across Graphs | 2024 | VLDB |