BLINKS: Ranked Keyword Searches on Graphs
Summary: BLINKS: bi-level indexing for top-k keyword searches on graphs. Block-partitioned graphs with block-level summaries enable pruning and fast intra-block search; provable performance bounds and orders-of-magnitude speedups over prior approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hao He (Duke University)
- 2. Haixun Wang (IBM)
- 3. Jun Yang (Duke University)
- 4. Philip S. Yu (IBM)
BibTeX Citation
@inproceedings{he_sigmod07,
title = {{BLINKS: Ranked Keyword Searches on Graphs}},
author = {He, Hao and Wang, Haixun and Yang, Jun and Yu, Philip S.},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247516},
url = {https://dl.acm.org/doi/10.1145/1247480.1247516},
year = {2007}
}
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