VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911628041125888 |
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| author | Huang, Kai Liang, Houdong Yao, Chongchong Zhao, Xi Cui, Yue Tian, Yao Zhang, Ruiyuan Zhou, Xiaofang |
| author_facet | Huang, Kai Liang, Houdong Yao, Chongchong Zhao, Xi Cui, Yue Tian, Yao Zhang, Ruiyuan Zhou, Xiaofang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_25283 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines Huang, Kai Liang, Houdong Yao, Chongchong Zhao, Xi Cui, Yue Tian, Yao Zhang, Ruiyuan Zhou, Xiaofang Databases Software Engineering H.2.8; H.5.2 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. |
| title | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines |
| topic | Databases Software Engineering H.2.8; H.5.2 |
| url | https://arxiv.org/abs/2604.25283 |