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20232026
most citedQwen2.5-1M Technical Report

12 citations · 22 across the 20 of their papers we have counts for

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8 papers · 1 filter

cs.DB2026

Efficient K-generalizable Learned Search

Yifan Peng, Jiafei Fan, Xingda Wei +7

Learned top-K search improves the accuracy-latency trade-off of graph-based vector search, but existing methods target a fixed K. Serving real-world workloads with various K values…

cs.DB2025

Revisiting Graph Analytics Benchmark

Lingkai Meng, Yu Shao, Long Yuan +7

The rise of graph analytics platforms has led to the development of various benchmarks for evaluating and comparing platform performance. However, existing benchmarks often fall sh…

cs.DB2025

A Graph-native Optimization Framework for Complex Graph Queries

Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4

This technical report extends the SIGMOD 2025 paper "A Modular Graph-Native Query Optimization Framework" by providing a comprehensive exposition of GOpt's advanced technical mecha…

cs.DB2024

LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR

Song Yu, Shufeng Gong, Qian Tao +9

The growing volume of graph data may exhaust the main memory. It is crucial to design a disk-based graph storage system to ingest updates and analyze graphs efficiently. However, e…

cs.DB2024

Towards a Converged Relational-Graph Optimization Framework

Yunkai Lou, Longbin Lai, Bingqing Lyu +5

The recent ISO SQL:2023 standard adopts SQL/PGQ (Property Graph Queries), facilitating graph-like querying within relational databases. This advancement, however, underscores a sig…

cs.DB2024★ 1 cited

A Modular Graph-Native Query Optimization Framework

Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4

Complex Graph Patterns (CGPs), which combine pattern matching with relational operations, are widely used in real-world applications. Existing systems rely on monolithic architectu…

cs.DB2023

GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing

Hongfu Li, Qian Tao, Song Yu +6

An efficient data structure is fundamental to meeting the growing demands in dynamic graph processing. However, the dual requirements for graph computation efficiency (with contigu…

cs.DB2023★ 1 cited

GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes

Xue Li, Weibin Zeng, Zhibin Wang +4

Data lakes, increasingly adopted for their ability to store and analyze diverse types of data, commonly use columnar storage formats like Parquet and ORC for handling relational ta…