您当前的位置：
首页 >
文章列表页 >
UCBiG-Plugin： A Generic Plugin Framework for Improved Collaborative Filtering of Graph Neural Networks
更新时间：2024-06-27
|

    • UCBiG-Plugin： A Generic Plugin Framework for Improved Collaborative Filtering of Graph Neural Networks

    • “Graph neural network technology has made new progress in the field of collaborative filtering. The UCBiG Plugin framework captures the cluster structure between items, discovers potential high-order semantics of users, and improves recommendation performance.”
    • Software Guide   Vol. 23, Issue 6, Pages: 1-8(2024)

    • DOI：10.11907/rjdk.231600    

      CLC： TP183

    • Received：08 June 2023，

      Published：15 June 2024

    移动端阅览

  • PAN Zhenye,CHEN Yahong.UCBiG-Plugin： A Generic Plugin Framework for Improved Collaborative Filtering of Graph Neural Networks[J].Software Guide,2024,23(06):1-8. DOI： 10.11907/rjdk.231600.

  •  
  •  

0

Views

43

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A Generation Model of Mixed Difficult and Negative Samples in Recommendation System
Hybrid Collaborative Filtering Recommendation Algorithm Based on Dynamic Time Weight
Personalized Re-ranking Model Based on Item Popularity
Collaborative Filtering Recommendation Algorithm Based on Fuzzy Clustering and User Interest
Drug Recommendation Algorithm Integrating Knowledge Graph and Collaborative Filtering

Related Author

LIANG Wende
MA Handa
SONG Yijie
MA Shengyu
LU Min
LI Zhuomin
ZHANG Yushan
ZHENG Xinyi

Related Institution

School of Computer Science and Communication Engineering， Jiangsu University
School of Computer Science and Technology, Henan Polytechnic University
School of Science, Jiangxi University of Science and Technology
School of Statistics & Mathematics， Guangdong University of Finance & Economics
School of Internet of Things，Nanjing University of Posts and Telecommunications
0