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An Experimental Study on Hub Labeling based Shortest Path Algorithms

Summary: Comprehensive study of hub-labeling shortest-path indexes, benchmarking state-of-the-art methods against alternatives for efficiency and applicability. Introduces Significant-path-based Hub Pushing (SHP), reducing index construction time while retaining fast queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hac7ececd674d0dec
Venue
VLDB
Year
2018
Pagerank
0.0001096845
Overall Rank
1,340 | 91.00%
DOI
10.1145/3164135.3164141

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb18,
        title = {{An Experimental Study on Hub Labeling based Shortest Path Algorithms}},
        author = {Li, Ye and U, Leong Hou and Yiu, Man Lung and Kou, Ngai Meng},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {4},
        pages = {445--457},
        doi = {10.1145/3164135.3164141},
        url = {https://doi.org/10.1145/3164135.3164141},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
2,143 Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees 2020 VLDB 8.9625587e-05
2,190 Scaling Distance Labeling on Small-World Networks 2019 SIGMOD 8.8832666e-05
2,944 P2H: Efficient Distance Querying on Road Networks by Projected Vertex Separators 2021 SIGMOD 7.8277412e-05
3,689 Relative Subboundedness of Contraction Hierarchy and Hierarchical 2-Hop Index in Dynamic Road Networks 2022 SIGMOD 7.0921741e-05
5,004 Efficiently Answering Reachability and Path Queries on Temporal Bipartite Graphs 2021 VLDB 6.3172422e-05
5,705 Hub Labeling for Shortest Path Counting 2020 SIGMOD 6.0274828e-05
5,804 Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement 2022 VLDB 5.9865208e-05
6,180 Answering Billion-Scale Label-Constrained Reachability Queries within Microsecond 2020 VLDB 5.8570846e-05
6,991 An Experimental Evaluation and Guideline for Path Finding in Weighted Dynamic Network 2021 VLDB 5.6247902e-05
7,231 The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries 2020 VLDB 5.5770821e-05
7,305 BatchHL: Answering Distance Queries on Batch-Dynamic Networks at Scale 2022 SIGMOD 5.5576178e-05
7,379 Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach 2022 VLDB 5.5369684e-05
9,175 Planting Trees for scalable and efficient Canonical Hub Labeling 2020 VLDB 5.2123828e-05
9,416 Continuously Monitoring Alternative Shortest Paths on Road Networks 2020 VLDB 5.180378e-05
9,816 Fast Network K-function-based Spatial Analysis 2022 VLDB 5.1233734e-05
10,009 PCSP: Efficiently Answering Label-Constrained Shortest Path Queries in Road Networks 2024 VLDB 5.0954911e-05
10,280 Succinct Graph Representations as Distance Oracles: An Experimental Evaluation 2022 VLDB 5.0461162e-05
11,214 Efficient Indexing for Flexible Label-Constrained Shortest Path Queries in Road Networks 2025 SIGMOD 4.9769913e-05
11,259 Efficient Maintenance of 2-Hop Labeling Index on Dynamic Small-World Graphs 2025 VLDB 4.9769913e-05
11,455 A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks 2025 VLDB 4.9769913e-05
11,557 LION: Fast and High-Resolution Network Kernel Density Visualization 2024 VLDB 4.9769913e-05
11,586 Distributed Shortest Distance Labeling on Large-Scale Graphs 2024 VLDB 4.9769913e-05
11,758 TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks 2023 VLDB 4.9769913e-05
11,781 Approximating Probabilistic Group Steiner Trees in Graphs 2023 VLDB 4.9769913e-05
12,008 Fast Augmentation Algorithms for Network Kernel Density Visualization 2021 VLDB 4.9769913e-05
12,038 SpeakNav: Voice-based Route Description Language Understanding for Template-driven Path Search 2021 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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