activity
20152026
most citedEfficient Graph Computation for Node2Vec

12 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2026

RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search

Zehai Yang, Shimin Chen

IVF is one of the most widely used ANNS (Approximate Nearest Neighbors Search) methods in vector databases. The idea of redundant assignment is to assign a data vector to more than…

cs.DB2024

LITS: An Optimized Learned Index for Strings (An Extended Version)

Yifan Yang, Shimin Chen

Index is an important component in database systems. Learned indexes have been shown to outperform traditional tree-based index structures for fixed-sized integer or floating point…

cs.DB2022

Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations (extended version)

Zichun Huang, Shimin Chen

A Join-Project operation is a join operation followed by a duplicate eliminating projection operation. It is used in a large variety of applications, including entity matching, set…

cs.DB2021★ 4 cited

Updatable Learned Index with Precise Positions

Jiacheng Wu, Yong Zhang, Shimin Chen +3

Index plays an essential role in modern database engines to accelerate the query processing. The new paradigm of "learned index" has significantly changed the way of designing inde…

cs.DC2019★ 4 cited

Storing and Querying Large-Scale Spatio-Temporal Graphs with High-Throughput Edge Insertions

Mengsu Ding, Muqiao Yang, Shimin Chen

Real-world graphs often contain spatio-temporal information and evolve over time. Compared with static graphs, spatio-temporal graphs have very different characteristics, presentin…

cs.DC2018★ 12 cited

Efficient Graph Computation for Node2Vec

Dongyan Zhou, Songjie Niu, Shimin Chen

Node2Vec is a state-of-the-art general-purpose feature learning method for network analysis. However, current solutions cannot run Node2Vec on large-scale graphs with billions of v…

cs.DC2015★ 2 cited

i2MapReduce: Incremental MapReduce for Mining Evolving Big Data

Yanfeng Zhang, Shimin Chen, Qiang Wang +1

As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Incremental processing is a promising approach to refr…