5 citations · 8 across the 3 of their papers we have counts for
4 papers
Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints
Mengzhao Wang, Lingwei Lv, Xiaoliang Xu +3
As research interest surges, vector similarity search is applied in multiple fields, including data mining, computer vision, and information retrieval. {Given a set of objects (e.g…
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling
Yuxiang Wang, Arijit Khan, Xiaoliang Xu +3
A knowledge graph (KG) manages large-scale and real-world facts as a big graph in a schema-flexible manner. Aggregate query is a fundamental query over KGs, e.g., "what is the aver…
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Mengzhao Wang, Xiaoliang Xu, Qiang Yue +1
Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation systems, information retrieval, and pattern r…
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs
Yuxiang Wang, Arijit Khan, Tianxing Wu +2
Recently, graph query is widely adopted for querying knowledge graphs. Given a query graph , the graph query finds subgraphs in a knowledge graph that exactly or approxima…