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20192026
most citedAn Empirical Analysis of Just-in-Time Compilation in Modern Databases

7 citations · 10 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.DB2026

Efficient -core Computation and On-the-fly Query at Billion Scale with GPUs

Qingshuai Feng, Shunyang Li, Kai Wang +3

In bipartite graphs, -core is a widely used model for cohesive subgraph mining. Specifically, an -core is a maximal subgraph in which each vertex in the upper layer h…

cs.DB2024

Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs

Long Yuan, Kongzhang Hao, Xuemin Lin +1

Hop-constrained s-t simple path (HC-s-t path) enumeration is a fundamental problem in graph analysis. Existing solutions for this problem focus on optimizing the processing perform…

cs.DB2023★ 7 cited

An Empirical Analysis of Just-in-Time Compilation in Modern Databases

Miao Ma, Zhengyi Yang, Kongzhang Hao +3

JIT (Just-in-Time) technology has garnered significant attention for improving the efficiency of database execution. It offers higher performance by eliminating interpretation over…

cs.DB2021★ 3 cited

HUGE: An Efficient and Scalable Subgraph Enumeration System

Zhengyi Yang, Longbin Lai, Xuemin Lin +2

Subgraph enumeration is a fundamental problem in graph analytics, which aims to find all instances of a given query graph on a large data graph. In this paper, we propose a system…

cs.DB2019

A Survey and Experimental Analysis of Distributed Subgraph Matching

Longbin Lai, Zhu Qing, Zhengyi Yang +10

Recently there emerge many distributed algorithms that aim at solving subgraph matching at scale. Existing algorithm-level comparisons failed to provide a systematic view to the pr…