Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines (GQEs) for interactive search and exploration has also been studied for years. However, these two vibrant scientific fields are traditionally independent of each other, causing a vast barrier for users who wish to explore the full-stack operations of graph querying. In this demonstration, we propose a novel VQI system built upon Neo4j called VisualNeo that facilities an efficient subgraph query in large graph databases. VisualNeo inherits several advanced features from recent advanced VQIs, which include the data-driven gui design and canned pattern generation. Additionally, it embodies a database manager module in order that users can connect to generic Neo4j databases. It performs query processing through the Neo4j driver and provides an aesthetic query result exploration.

翻译：可视化图查询界面（VQI）使非编程人员能够通过构建直观的可视化查询来检索图数据。在针对交互式搜索与探索的图查询引擎（GQE）中开发高效技术也已被研究多年。然而，这两个充满活力的科学领域在传统上相互独立，为用户探索图查询的全栈操作造成了巨大障碍。在本演示中，我们提出了一种基于Neo4j构建的新型VQI系统，名为VisualNeo，它能高效地对大规模图数据库执行子图查询。VisualNeo继承了近年来先进VQI的若干高级特性，包括数据驱动的GUI设计与预制模式生成。此外，它集成了一个数据库管理器模块，使用户能够连接至通用Neo4j数据库。该系统通过Neo4j驱动执行查询处理，并提供美观的查询结果探索界面。