Interactive Graph Search for Multiple Targets on DAGs
Summary: Extends interactive graph search to multiple hidden targets on DAGs using uncertain candidates and a gain-driven query strategy. The unified k-EIS framework handles single and multiple targets, reducing worst-case questions from O(n) to O(log² n) and enabling subgraph decomposition. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zheng Wu (Hong Kong Baptist University)
- 2. Xuliang Zhu (Shanghai Jiao Tong University)
- 3. Yixiang Fang (Chinese University of Hong Kong)
- 4. Jianliang Xu (Hong Kong Baptist University)
- 5. Xin Huang (Hong Kong Baptist University)
BibTeX Citation
@article{wu_vldb25,
title = {{Interactive Graph Search for Multiple Targets on DAGs}},
author = {Wu, Zheng and Zhu, Xuliang and Fang, Yixiang and Xu, Jianliang and Huang, Xin},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {4},
pages = {1091--1103},
doi = {10.14778/3717755.3717768},
url = {https://doi.org/10.14778/3717755.3717768},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,382 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 4 | 3,709 | Multi-Query Optimization for Subgraph Isomorphism Search | 2017 | VLDB |
| 5 | 11,793 | IDAR: Fast Supergraph Search Using DAG Integration | 2020 | VLDB |
| 6 | 10,382 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD |
| 7 | 767 | Human-Assisted Graph Search: It’s Okay to Ask Questions | 2011 | VLDB |
| 8 | 10,792 | Interactive Graph Search Made Simple | 2025 | SIGMOD |
| 9 | 7,313 | Interactive Graph Search | 2019 | SIGMOD |
| 10 | 7,021 | Budget Constrained Interactive Search for Multiple Targets | 2021 | VLDB |