Affiliation:
1. Hong Kong Univ. of Sci. & Tech.
Abstract
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.
Publisher
Association for Computing Machinery (ACM)
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Reference18 articles.
1. Neo4j Graph Data Platform. Neo4j sandbox. Neo4j Graph Data Platform. Neo4j sandbox.
2. PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks
3. Huang K , Hu H , Ye Q , Tian K , Zheng B , Zhou X. TED : Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database . In SIGMOD , 2023 . Huang K, Hu H, Ye Q, Tian K, Zheng B, Zhou X. TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. In SIGMOD, 2023.
4. Towards plug-and-play visual graph query interfaces
5. AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases