CommunityAF: An Example-based Community Search Method via Autoregressive Flow
Summary: CommunityAF pairs incremental GNN embeddings with an autoregressive-flow generator and a learned scorer for scalable, fast-training example-based community search. A square-ranking loss and beam-search termination let it mimic structure metrics and deliver ~15% quality gain and 4–20× speedups. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiazun Chen (Peking University)
- 2. Yikuan Xia (Peking University)
- 3. Jun Gao (Peking University)
BibTeX Citation
@article{chen_vldb23,
title = {{CommunityAF: An Example-based Community Search Method via Autoregressive Flow}},
author = {Chen, Jiazun and Xia, Yikuan and Gao, Jun},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {10},
pages = {2565--2577},
doi = {10.14778/3603581.3603595},
url = {https://doi.org/10.14778/3603581.3603595},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,868 | A Flexible Framework for Query-oriented Interactive Community Search | 2025 | VLDB | 5.1176637e-05 |
| 9,962 | Inductive Attributed Community Search: to Learn Communities across Graphs | 2024 | VLDB | 5.1038322e-05 |
| 11,297 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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