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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)
- Paper ID
- 5603
- Venue
- SIGMOD
- Year
- 2019
- Pagerank
- 4.8841486e-05
- Overall Rank
- 6,961 | 51.58%
- DOI
-
10.1145/3299869.3300072
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 6,052 |
AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases |
2020 |
SIGMOD |
5.2331442e-05 |
| 6,152 |
MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces |
2021 |
SIGMOD |
5.183145e-05 |
| 6,609 |
Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future |
2022 |
SIGMOD |
4.9956718e-05 |
| 7,883 |
Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Selection of Canned Patterns for Large Networks |
2021 |
VLDB |
4.6282138e-05 |
| 8,501 |
PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks |
2022 |
SIGMOD |
4.4973405e-05 |
| 9,106 |
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database |
2023 |
SIGMOD |
4.3952103e-05 |
| 9,941 |
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines |
2023 |
VLDB |
4.2456408e-05 |
| 9,942 |
VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases |
2022 |
VLDB |
4.2456408e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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