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Envisage: Towards Expressive Visual Graph Querying.

Xiaolin Wen, Qishuang Fu, Shuangyue Han

    IEEE Transactions on Visualization and Computer Graphics
    |November 25, 2025
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    Summary
    This summary is machine-generated.

    Envisage enhances visual graph querying (VGQ) for complex data by enabling intuitive graph construction and flexible rules. This interactive system improves query expressiveness and usability for graph analysts.

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    Area of Science:

    • Computer Science
    • Data Science

    Background:

    • Graph querying retrieves data using specialized languages, often needing programming skills.
    • Current Visual Graph Querying (VGQ) tools are limited to simple queries, restricting user expression for complex or underspecified intents.

    Purpose of the Study:

    • To introduce Envisage, an interactive visual graph querying system designed to enhance VGQ expressiveness for complex scenarios.
    • To support intuitive graph structure construction and flexible parameterized rule specification for improved query interaction.

    Main Methods:

    • Envisage features four stages: Query Expression for interactive construction, Query Verification for validation, Progressive Query Execution for meaningful results, and Result Analysis for exploration.
    • Evaluation involved two case studies and user interviews with 14 graph analysts.

    Main Results:

    • Envisage demonstrated effectiveness and usability in constructing, verifying, and executing complex graph queries.
    • The system enhances the ability of users to express complex query intents interactively.

    Conclusions:

    • Envisage significantly improves the expressiveness and usability of visual graph querying for complex data scenarios.
    • The proposed system facilitates more intuitive and flexible interaction with graph data for analysis.