Exact Top-k Nearest Keyword Search in Large Networks
Summary: Exact top-k nearest keyword search in large networks; introduces algorithms that yield exact results rather than approximations for keyword-containing vertex queries. Scalable to very large graphs, with experiments on real datasets comparing against best-known approximations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Minhao Jiang (Hong Kong University of Science and Technology)
- 2. Ada Wai-Chee Fu (Chinese University of Hong Kong)
- 3. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{jiang_sigmod15,
title = {{Exact Top-k Nearest Keyword Search in Large Networks}},
author = {Jiang, Minhao and Fu, Ada Wai-Chee and Wong, Raymond Chi-Wing},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2749447},
url = {https://dl.acm.org/doi/10.1145/2723372.2749447},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,571 | Hub Labeling for Shortest Path Counting | 2020 | SIGMOD | 6.1686653e-05 |
| 6,995 | Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models | 2025 | VLDB | 5.7301567e-05 |
| 9,776 | Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal | 2025 | VLDB | 5.2209769e-05 |
| 11,439 | TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks | 2023 | VLDB | 5.093636e-05 |
| 11,979 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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