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Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Selection of Canned Patterns for Large Networks

Summary: Tattoo is a data-driven plug-and-play framework that automatically selects canned subgraph patterns for visual graph query interfaces over large networks. It decomposes networks into truss-infested and truss-oblivious regions, generates diverse candidate patterns, and selects a set to maximize coverage while minimizing cognitive load. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12379
Venue
VLDB
Year
2021
Pagerank
4.6282138e-05
Overall Rank
7,883 | 45.16%
DOI
10.14778/3476249.3476256

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