Answering Why-questions by Exemplars in Attributed Graphs
Summary: Q-Chase: a framework to answer Why-questions on attributed graphs by rewriting Q into Q' so Q'(G) aligns with exemplar E under a closeness measure. It yields anytime and fixed-parameter algorithms that detect picky operators and use star-view caches to prune irrelevant matches, validated on real graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mohammad Hossein Namaki (Washington State University)
- 2. Qi Song (Washington State University)
- 3. Yinghui Wu (Washington State University)
- 4. Shengqi Yang (WeWork Technology)
BibTeX Citation
@inproceedings{namaki_sigmod19,
title = {{Answering Why-questions by Exemplars in Attributed Graphs}},
author = {Namaki, Mohammad Hossein and Song, Qi and Wu, Yinghui and Yang, Shengqi},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319890},
url = {https://dl.acm.org/doi/10.1145/3299869.3319890},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,865 | NAVIGATE: Explainable Visual Graph Exploration by Examples | 2019 | SIGMOD | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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