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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
14423
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,097 | 23.87%
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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Citing Paper
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Venue
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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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195
Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling
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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9.1725037e-05
2,152
Scaling Distance Labeling on Small-World Networks
2019
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9.0778596e-05
2,871
P2H: Efficient Distance Querying on Road Networks by Projected Vertex Separators
2021
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8.0110616e-05
3,834
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4,403
Scaling Up Distance Labeling on Graphs with Core-Periphery Properties
2020
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5,610
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SIGMOD
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5,987
Progressive Top-K Nearest Neighbors Search in Large Road Networks
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Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs
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2022
VLDB
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