6 citations · 9 across the 3 of their papers we have counts for
4 papers
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…
GEM: A Native Graph-based Index for Multi-Vector Retrieval
Yao Tian, Zhoujin Tian, Xi Zhao +2
In multi-vector retrieval, both queries and data are represented as sets of high-dimensional vectors, enabling finer-grained semantic matching and improving retrieval quality over…
Optimizing SSD-Resident Graph Indexing for High-Throughput Vector Search
Weichen Zhao, Yuncheng Lu, Yao Tian +5
Graph-based approximate nearest neighbor search (ANNS) methods (e.g., HNSW) have become the de facto state of the art for their high precision and low latency. To scale beyond main…
Low Rank Learning for Offline Query Optimization
Zixuan Yi, Yao Tian, Zachary G. Ives +1
Recent deployments of learned query optimizers use expensive neural networks and ad-hoc search policies. To address these issues, we introduce \textsc{LimeQO}, a framework for offl…