VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases
Summary: VINCENT enables exploratory subgraph search over collections of small/medium graphs by automatically generating GUI panels and diversified patterns for data-driven visual query formulation. Incremental processing and result summarization support efficient iterative exploration. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Huang (Hong Kong Polytechnic University; Hong Kong University of Science and Technology)
- 2. Qingqing Ye (Hong Kong Polytechnic University)
- 3. Jing Zhao (Hong Kong University of Science and Technology)
- 4. Xi Zhao (Hong Kong University of Science and Technology)
- 5. Haibo Hu (Hong Kong Polytechnic University)
- 6. Xiaofang Zhou (Hong Kong University of Science and Technology)
BibTeX Citation
@article{huang_vldb22,
title = {{VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases}},
author = {Huang, Kai and Ye, Qingqing and Zhao, Jing and Zhao, Xi and Hu, Haibo and Zhou, Xiaofang},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3634--3637},
doi = {10.14778/3554821.3554862},
url = {https://doi.org/10.14778/3554821.3554862},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,056 | Aster: Enhancing LSM-structures for Scalable Graph Database | 2025 | SIGMOD | 5.2295363e-05 |
| 9,296 | TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database | 2023 | SIGMOD | 5.1991444e-05 |
| 10,302 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB | 5.040157e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 657 | Efficient Subgraph Matching by Postponing Cartesian Products | 2016 | SIGMOD | 0.0001505607 |
| 1,215 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011492648 |
| 3,506 | Performance and Scalability of Indexed Subgraph Query Processing Methods | 2015 | VLDB | 7.2501249e-05 |
| 6,068 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD | 5.8972964e-05 |
| 7,450 | PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases | 2017 | VLDB | 5.5238477e-05 |
| 8,698 | AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases | 2020 | SIGMOD | 5.2905577e-05 |
| 11,978 | MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces | 2021 | SIGMOD | 4.9793485e-05 |
| 12,141 | CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation | 2019 | SIGMOD | 4.9793485e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,068 | GBLENDER: Visual Subgraph Query Formulation Meets Query Processing | 2011 | SIGMOD |
| 2 | 12,205 | Efficient Exploration of Linked Data | 2018 | SIGMOD |
| 3 | 4,824 | VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework | 2013 | CIDR |
| 4 | 12,180 | PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration | 2019 | VLDB |
| 5 | 12,165 | NAVIGATE: Explainable Visual Graph Exploration by Examples | 2019 | SIGMOD |
| 6 | 10,232 | Graph Exploration: From Users to Large Graphs | 2017 | SIGMOD |
| 7 | 10,302 | VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines | 2023 | VLDB |
| 8 | 12,725 | Exploratory Keyword Search on Data Graphs | 2010 | SIGMOD |
| 9 | 12,368 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB |
| 10 | 7,450 | PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases | 2017 | VLDB |