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20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

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32 papers · 1 filter

cs.DB2023★ 3 cited

TALENT: Targeted Mining of Non-overlapping Sequential Patterns

Zefeng Chen, Wensheng Gan, Gengsen Huang +3

With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biolog…

cs.DB2022

HUSP-SP: Faster Utility Mining on Sequence Data

Chunkai Zhang, Yuting Yang, Zilin Du +2

High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity. However, due to the combinatorial explosio…

cs.DB2022

Towards Sequence Utility Maximization under Utility Occupancy Measure

Gengsen Huang, Wensheng Gan, Philip S. Yu

The discovery of utility-driven patterns is a useful and difficult research topic. It can extract significant and interesting information from specific and varied databases, increa…

cs.DB2022★ 38 cited

Big Data Meets Metaverse: A Survey

Jiayi Sun, Wensheng Gan, Zefeng Chen +2

We are living in the era of big data. The Metaverse is an emerging technology in the future, and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality…

cs.DB2022★ 4 cited

Contrast Pattern Mining: A Survey

Yao Chen, Wensheng Gan, Yongdong Wu +1

Contrast pattern mining (CPM) is an important and popular subfield of data mining. Traditional sequential patterns cannot describe the contrast information between different classe…

cs.DB2022

A Generic Algorithm for Top-K On-Shelf Utility Mining

Jiahui Chen, Xu Guo, Wensheng Gan +2

On-shelf utility mining (OSUM) is an emerging research direction in data mining. It aims to discover itemsets that have high relative utility in their selling time period. Compared…