CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation
Summary: Catapult auto-selects canned subgraph patterns for visual graph GUIs by topology-based clustering and cluster-summary graphs. From CSGs, it generates patterns under budget to maximize coverage and diversity with low cognitive load; experiments show gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kai Huang (Fudan University; Nanyang Technological University)
- 2. Huey Eng Chua (Nanyang Technological University)
- 3. Sourav S Bhowmick (Nanyang Technological University)
- 4. Byron Choi (Hong Kong Baptist University)
- 5. Shuigeng Zhou (Fudan University)
BibTeX Citation
@inproceedings{huang_sigmod19,
title = {{CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation}},
author = {Huang, Kai and Chua, Huey Eng and Bhowmick, Sourav S and Choi, Byron and Zhou, Shuigeng},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300072},
url = {https://dl.acm.org/doi/10.1145/3299869.3300072},
year = {2019}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 462 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00018065337 |
| 2,085 | Scalable K-Means++ | 2012 | VLDB | 9.1943614e-05 |
| 2,211 | Relational link-based ranking | 2004 | VLDB | 8.9422791e-05 |
| 3,311 | Connected Substructure Similarity Search | 2010 | SIGMOD | 7.5353184e-05 |
| 5,621 | Precision Interfaces for Different Modalities | 2018 | SIGMOD | 6.1472303e-05 |
| 7,848 | Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities | 2016 | VLDB | 5.5327238e-05 |
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