High-Throughput k Nearest Neighbors Search in Road Networks
Summary: Local subgraph-based kNN indexing for road networks under frequent inserts/deletes, targeting throughput rather than just latency. Updates touch only affected subgraphs; queries incrementally explore boundary vertices with a correctness proof that local info suffices for global kNN. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Yu Kong (University of Sydney)
- 2. Lijun Chang (University of Sydney)
- 3. Dong Wen (University of New South Wales)
- 4. Dian Ouyang (Guangdong University of Technology)
BibTeX Citation
@inproceedings{kong_sigmod26,
title = {{High-Throughput k Nearest Neighbors Search in Road Networks}},
author = {Kong, Yu and Chang, Lijun and Wen, Dong and Ouyang, Dian},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786656},
url = {https://dl.acm.org/doi/10.1145/3786656},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 458 | Query Processing in Spatial Network Databases | 2003 | VLDB | 0.00017868943 |
| 677 | Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases | 2004 | VLDB | 0.00014843441 |
| 1,048 | An Efficient and Scalable Approach to CNN Queries in a Road Network | 2005 | VLDB | 0.00012303367 |
| 1,645 | When Hierarchy Meets 2-Hop-Labeling: Efficient Shortest Distance Queries on Road Networks | 2018 | SIGMOD | 9.9953879e-05 |
| 1,652 | Continuous Nearest Neighbor Monitoring in Road Networks | 2006 | VLDB | 9.9778734e-05 |
| 4,674 | TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks | 2018 | VLDB | 6.4750983e-05 |
| 6,107 | Progressive Top-K Nearest Neighbors Search in Large Road Networks | 2020 | SIGMOD | 5.8852347e-05 |
| 6,408 | Hierarchical Cut Labelling – Scaling Up Distance Queries on Road Networks | 2023 | SIGMOD | 5.7942038e-05 |
| 8,895 | Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks | 2024 | VLDB | 5.2559789e-05 |
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