Inductive Attributed Community Search: to Learn Communities across Graphs
Summary: IACS reframes attributed community search as inductive task learning, using an encoder–decoder and training–adaptation–inference workflow to transfer knowledge across heterogeneous graphs and queries. Few-shot adaptation yields 29.0% CS and 25.6% ACS average F1 gains. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuheng Fang (Chinese University of Hong Kong)
- 2. Kangfei Zhao (Beijing Institute of Technology)
- 3. Yu Rong (Alibaba)
- 4. Zhixun Li (Chinese University of Hong Kong)
- 5. Jeffrey Xu Yu (Chinese University of Hong Kong)
BibTeX Citation
@article{fang_vldb24,
title = {{Inductive Attributed Community Search: to Learn Communities across Graphs}},
author = {Fang, Shuheng and Zhao, Kangfei and Rong, Yu and Li, Zhixun and Yu, Jeffrey Xu},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {10},
pages = {2576--2589},
doi = {10.14778/3675034.3675048},
url = {https://doi.org/10.14778/3675034.3675048},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,142 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB | 5.0597449e-05 |
| 10,413 | To Learn or Not to Learn? An In-depth Empirical Analysis of Community Search Approaches | 2027 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014671367 |
| 1,118 | Approximate Closest Community Search in Networks | 2016 | VLDB | 0.0001192817 |
| 1,234 | Attribute-Driven Community Search | 2017 | VLDB | 0.0001138939 |
| 2,366 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB | 8.5505796e-05 |
| 2,635 | Neural Subgraph Counting with Wasserstein Estimator | 2022 | SIGMOD | 8.1795762e-05 |
| 2,941 | Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed | 2022 | VLDB | 7.8196527e-05 |
| 3,105 | A Learned Sketch for Subgraph Counting | 2021 | SIGMOD | 7.6278115e-05 |
| 5,224 | Efficient Streaming Subgraph Isomorphism with Graph Neural Networks | 2021 | VLDB | 6.2100595e-05 |
| 7,088 | CommunityAF: An Example-based Community Search Method via Autoregressive Flow | 2023 | VLDB | 5.5876259e-05 |
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