Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/184505| Title: | Reproducibility report for ACM SIGMOD 2024 paper: 'Fast maximal quasi-clique enumeration: a pruning and branching co-design approach' | Authors: | Meling, Hein Gong, Yue Yu, Kaiqiang Long, Cheng |
Keywords: | Computer and Information Science | Issue Date: | 2025 | Source: | Meling, H., Gong, Y., Yu, K. & Long, C. (2025). Reproducibility report for ACM SIGMOD 2024 paper: 'Fast maximal quasi-clique enumeration: a pruning and branching co-design approach'. 2024 International Conference on Management of Data (SIGMOD '24), 91-93. https://dx.doi.org/10.1145/3687998.3717040 | Conference: | 2024 International Conference on Management of Data (SIGMOD '24) | Abstract: | The core thesis of the paper has been successfully reproduced. The authors provided a set of scripts that can execute the experiments and generate the individual plots. The resulting figures were near identical to the submitted paper. | URI: | https://hdl.handle.net/10356/184505 | ISBN: | 979-8-4007-1179-4 | DOI: | 10.1145/3687998.3717040 | Schools: | College of Computing and Data Science | Rights: | © 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | CCDS Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 3687998.3717040.pdf | 1.11 MB | Adobe PDF | View/Open |
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.