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MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces

Summary: MIDAS maintains canned subgraph patterns in visual graph query GUIs as graphs evolve. A selective maintenance strategy yields progressive coverage while preserving diversity and cognitive load, outperforming static GUIs on real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6142
Venue
SIGMOD
Year
2021
Pagerank
5.183145e-05
Overall Rank
6,152 | 57.21%
DOI
10.1145/3448016.3457251

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