Reproducibility Report for ACM SIGMOD 2024 Paper: 'Hierarchical Cut Labelling - Scaling Up Distance Queries on Road Networks'
The core claims from the paper are reproducible. The authors provided a repository with the code needed to run the program, instructions on how to build and run, and links to the datasets to be used in the experiments.
Authors
- Muhammad Farhan (ORCID: https://orcid.org/0000-0002-1239-2107)
- Jiani Yang (ORCID: https://orcid.org/0009-0005-8290-7267)
- Gabriele Oliaro (ORCID: https://orcid.org/0000-0001-5406-0736)
- Yihao Hu (ORCID: https://orcid.org/0000-0001-7501-0682)
Institutions
- Australian National University (AU)
- Duke University (US)
- Carnegie Mellon University (US)
- Zhejiang University (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1145/3687998.3717054
- Primary Topic
- Data Management and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00