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VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines

Summary: VisualNeo unifies data-driven visual graph querying with Neo4j’s engine for interactive subgraph search over large databases. It adds canned pattern generation, generic database connectivity, driver-based execution, and aesthetic result exploration. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13440
Venue
VLDB
Year
2023
Pagerank
5.1558402e-05
Overall Rank
10,088 | 30.79%
DOI
10.14778/3611540.3611608

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{huang_vldb23,
        title = {{VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines}},
        author = {Huang, Kai and Liang, Houdong and Yao, Chongchong and Zhao, Xi and Cui, Yue and Tian, Yao and Zhang, Ruiyuan and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {4010--4013},
        doi = {10.14778/3611540.3611608},
        url = {https://doi.org/10.14778/3611540.3611608},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,896 Aster: Enhancing LSM-structures for Scalable Graph Database 2025 SIGMOD 5.3495662e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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