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20222026
most citedVisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines

6 citations · 8 across the 27 of their papers we have counts for

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cs.DB2026

Unified Dominance Graph for Interval-Predicate Approximate Nearest Neighbor Search

Kwun Hang Lau, Ruiyuan Zhang, Elton Chun-Chai Li +3

Approximate Nearest Neighbor Search (ANNS) is a core primitive for unstructured data retrieval. Real-world applications--such as temporal databases, financial data analysis, and re…

cs.DB2026★ 6 cited

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

Kai Huang, Houdong Liang, Chongchong Yao +5

Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines…

cs.DB2026

Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing

Zhonghan Chen, Qintian Guo, Ruiyuan Zhang +1

In this work, we address the problem of cardinality estimation for similarity search in high-dimensional spaces. Our goal is to design a framework that is lightweight, easy to cons…

cs.DB2026

Toward Temporal Attribution Analytics in Dataflows

Chrysanthi Kosyfaki, Ruiyuan Zhang, Nikos Mamoulis +1

Data provenance (the process of determining the origin and derivation of data outputs) has applications across multiple domains including explaining database query results and audi…

cs.DB2025

Data-Aware Socratic Query Refinement in Database Systems

Ruiyuan Zhang, Chrysanthi Kosyfaki, Xiaofang Zhou

In this paper, we propose Data-Aware Socratic Guidance (DASG), a dialogue-based query enhancement framework that embeds \linebreak interactive clarification as a first-class operat…

cs.DB2022

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database

Kai Huang, Haibo Hu, Qingqing Ye +3

With an exponentially growing number of graphs from disparate repositories, there is a strong need to analyze a graph database containing an extensive collection of small- or mediu…