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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)
- Paper ID
- 12292
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 8.7735306e-05
- Overall Rank
- 2,357 | 83.63%
- DOI
-
10.14778/3447689.3447704
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,828 |
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed |
2022 |
VLDB |
8.128899e-05 |
| 5,388 |
FirmTruss Community Search in Multilayer Networks |
2023 |
VLDB |
6.3077259e-05 |
| 5,798 |
Neural Attributed Community Search at Billion Scale |
2023 |
SIGMOD |
6.1439835e-05 |
| 6,168 |
EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs |
2023 |
SIGMOD |
6.028641e-05 |
| 6,695 |
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression |
2023 |
SIGMOD |
5.859101e-05 |
| 7,275 |
CommunityAF: An Example-based Community Search Method via Autoregressive Flow |
2023 |
VLDB |
5.7115743e-05 |
| 7,790 |
Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach |
2024 |
VLDB |
5.6035684e-05 |
| 8,018 |
Efficient Triangle-Connected Truss Community Search In Dynamic Graphs |
2023 |
VLDB |
5.5638558e-05 |
| 8,120 |
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges |
2023 |
VLDB |
5.5419908e-05 |
| 8,377 |
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense |
2024 |
VLDB |
5.4970753e-05 |
| 8,701 |
Efficient Unsupervised Community Search with Pre-trained Graph Transformer |
2024 |
VLDB |
5.4455191e-05 |
| 9,546 |
Cohesiveness-aware Hierarchical Compressed Index for Community Search on Attributed Graphs |
2025 |
SIGMOD |
5.316206e-05 |
| 9,547 |
Deep Overlapping Community Search via Subspace Embedding |
2025 |
SIGMOD |
5.316206e-05 |
| 9,634 |
Inductive Attributed Community Search: to Learn Communities across Graphs |
2024 |
VLDB |
5.3018378e-05 |
| 10,161 |
Enabling Efficient Direct Update on Rule-Based Compressed Graph |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,591 |
A Flexible Framework for Query-oriented Interactive Community Search |
2025 |
VLDB |
5.1725247e-05 |
| 10,656 |
A Comprehensive Survey and Experimental Study of Learning-based Community Search |
2025 |
VLDB |
5.1725247e-05 |
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.
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Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed |
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| 10,591 |
A Flexible Framework for Query-oriented Interactive Community Search |
2025 |
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