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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)

Paper ID
5764
Venue
SIGMOD
Year
2019
Pagerank
5.093636e-05
Overall Rank
11,854 | 18.68%
DOI
10.1145/3299869.3319890

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Authors

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}
}

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Rank Citing Paper Year Venue Pagerank
11,865 NAVIGATE: Explainable Visual Graph Exploration by Examples 2019 SIGMOD 5.093636e-05
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