Accelerating Skyline Path Enumeration with a Core Attribute Index on Multi-attribute Graphs
Summary: Introduces CAI, a core attribute index pruning vertices/edges not on any skyline s-t path in multi-attribute graphs, built via parallel hop-dependency label propagation. CAI-based querying cuts fruitless exploration, delivering large speedups and scalable memory on real graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuanyuan Zeng (Chinese University of Hong Kong)
- 2. Yixiang Fang (Chinese University of Hong Kong)
- 3. Wensheng Luo (Chinese University of Hong Kong)
- 4. Chenhao Ma (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{zeng_sigmod25,
title = {{Accelerating Skyline Path Enumeration with a Core Attribute Index on Multi-attribute Graphs}},
author = {Zeng, Yuanyuan and Fang, Yixiang and Luo, Wensheng and Ma, Chenhao},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725261},
url = {https://dl.acm.org/doi/10.1145/3725261},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,845 | Efficient Maintenance of 2-Hop Labeling Index on Dynamic Small-World Graphs | 2025 | VLDB | 5.093636e-05 |
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