SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries
Summary: Models region-of-interest selection as skyline subgraph queries over keyword-embedded road networks, avoiding a fixed size–relevance tradeoff. SkyGraph gives a polynomial-time approximation, while the Partner Index prunes search and achieves up to orders-of-magnitude speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shiladitya Pande (Indian Institute of Technology Madras)
- 2. Sayan Ranu (Indian Institute of Technology Delhi)
- 3. Arnab Bhattacharya (Indian Institute of Technology Kanpur)
BibTeX Citation
@article{pande_vldb17,
title = {{SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries}},
author = {Pande, Shiladitya and Ranu, Sayan and Bhattacharya, Arnab},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1382--1395},
doi = {10.14778/3137628.3137647},
url = {https://doi.org/10.14778/3137628.3137647},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,206 | Mining Top-k Pairs of Correlated Subgraphs in a Large Network | 2020 | VLDB | 5.4666548e-05 |
| 9,364 | FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraints | 2022 | VLDB | 5.2798829e-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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| 5 | 11,439 | TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks | 2023 | VLDB |
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