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A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks
Summary: G2H is a CPU-GPU hybrid hop-labeling method for rapidly rebuilding road-network distance indexes under frequent updates, combining hybrid graph partitioning, optimized ordering, and parallel label pruning. It constructs indexes for 6M-vertex networks in under a minute and serves hundreds of millions of queries per second.
(summarized by gpt-5.6-luna on Jul 24 2026)
Paper ID
h8e9a15bb0d33fb80
Venue
VLDB
Year
2025
Pagerank
4.9793485e-05
Overall Rank
11,449 | 23.03%
DOI
10.14778/3712221.3712241
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BibTeX Citation
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@article{li_vldb25,
title = {{A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks}},
author = {Li, Jiajia and Chen, Yongzhi and Zhang, Mengxuan and Li, Lei},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {3},
pages = {770--783},
doi = {10.14778/3712221.3712241},
url = {https://doi.org/10.14778/3712221.3712241},
year = {2025}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Pagerank
3
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197
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2013
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TEDI: Efficient Shortest Path Query Answering on Graphs
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An Experimental Study on Hub Labeling based Shortest Path Algorithms
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When Hierarchy Meets 2-Hop-Labeling: Efficient Shortest Distance Queries on Road Networks
2018
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Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees
2020
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2,188
Scaling Distance Labeling on Small-World Networks
2019
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2021
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7.8314485e-05
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Effective Caching of Shortest Paths for Location-Based Services
2012
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6.9252611e-05
4,488
Scaling Up Distance Labeling on Graphs with Core-Periphery Properties
2020
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5,300
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2021
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6,107
Progressive Top-K Nearest Neighbors Search in Large Road Networks
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BatchHL: Answering Distance Queries on Batch-Dynamic Networks at Scale
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Planting Trees for scalable and efficient Canonical Hub Labeling
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FHL-Cube: Multi-Constraint Shortest Path Querying with Flexible Combination of Constraints
2022
VLDB
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