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GRBench: A Comprehensive Benchmark Evaluation for Graph-relational Data Management
Zepeng Liu, Xinxin Huang, Xuanming Liu +2
Modern data-intensive applications increasingly require database systems to manage structured records and graph data. This demand gives rise to graph-relational data management, sp…
Graph-centric Cross-model Data Integration and Analytics in a Unified Multi-model Database
Zepeng Liu, Sheng Wang, Shixun Huang +6
Graph-centric cross-model data integration and analytics (GCDIA) refer to tasks that leverage the graph model as a central paradigm to integrate relevant information across heterog…
Updatable Balanced Index for Fast On-device Search with Auto-selection Model
Yushuai Ji, Sheng Wang, Zhiyu Chen +2
Diverse types of edge data, such as 2D geo-locations and 3D point clouds, are collected by sensors like lidar and GPS receivers on edge devices. On-device searches, such as k-neare…
Budgeted Spatial Data Acquisition: When Coverage and Connectivity Matter
Wenzhe Yang, Shixun Huang, Sheng Wang +1
Data is undoubtedly becoming a commodity like oil, land, and labor in the 21st century. Although there have been many successful marketplaces for data trading, the existing data ma…
A Unified Approach for Multi-Granularity Search over Spatial Datasets
Wenzhe Yang, Sheng Wang, Shixun Huang +4
There has been increased interest in data search as a means to find relevant datasets or data points in data lakes and repositories. Although approaches have been proposed to suppo…
Approximate Vector Set Search Inspired by Fly Olfactory Neural System
Yiqi Li, Sheng Wang, Zhiyu Chen +2
Vector set search, an underexplored similarity search paradigm, aims to find vector sets similar to a query set. This search paradigm leverages the inherent structural alignment be…
Joinable Search over Multi-source Spatial Datasets: Overlap, Coverage, and Efficiency
Wenzhe Yang, Sheng Wang, Zhiyu Chen +2
The search for joinable data is pivotal for numerous applications, such as data integration, data augmentation, and data analysis. Although there have been many successful joinable…