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20242026
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cs.DB2026

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries

Yuhui Wang, Jinqi Liu, Chengliang Chai +8

The diverse formats of CSV and Parquet files in data lakes pose a significant challenge to traditional ETL, which relies on data engineers to pre-define a target database schema an…

cs.DB2026

Efficient Graph Indexing for Interval-Aware Vector Search

Siyuan Liang, Ziqi Yin, Qi Zhang +5

Interval-aware Approximate Nearest Neighbor (ANN) search arises in applications where each object is associated with a numeric value or interval, and queries must satisfy both vect…

cs.DB2026

RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search

Zhiqiu Zou, Ziqi Yin, Rong-Hua Li +3

Range-filtered approximate nearest neighbor (RFANN) search is a fundamental operation in modern data systems. Given a set of objects, each with a vector and a numerical attribute,…

cs.DB2026

MCI: A Maximal Clique Index for Efficient Arbitrary-Filtered Approximate Nearest Neighbor Search

Xiaowei Ye, Rong-Hua Li, Guoren Wang +3

Approximate Nearest Neighbor Search with arbitrary filtering predicates (AFANNS) is essential for modern data applications, yet existing methods often incur substantial storage and…

cs.DB2026

StreamTGN: A GPU-Efficient Serving System for Streaming Temporal Graph Neural Networks

Lingling Zhang, Pengpeng Qiao, Zhiwei Zhang +2

Temporal Graph Neural Networks (TGNs) achieve state-of-the-art performance on dynamic graph tasks, yet existing systems focus exclusively on accelerating training -- at inference t…

cs.DB2025

Unstructured Data Analysis using LLMs: A Comprehensive Benchmark

Qiyan Deng, Jianhui Li, Chengliang Chai +9

Nowadays, the explosion of unstructured data presents immense analytical value. Leveraging the remarkable capability of large language models (LLMs) in extracting attributes of str…