Survey of Graph Neural Networks in Session Recommender Systems

被引：1
|
作者：
Zhu, Zhiguo [1 ]
Li, Weiyue [1 ]
Jiang, Pan [1 ]
Zhou, Peiyao [1 ]
机构：
[1] School of Management Science and Engineering, Dongbei University of Finance and Economics, Liaoning, Dalian,116025, China
来源：
Computer Engineering and Applications | 2024年 / 59卷 / 05期
关键词：
'current - Attention - Dependency relationship - Gated mechanism - Graph convolution - Graph neural networks - Learn+ - Related works - Session recommendation - User sessions;
D O I：
10.3778/j.issn.1002-8331.2207-0397
中图分类号：
学科分类号：
摘要：
75
引用
收藏
页码：55 / 69
相关论文
共 50 条
  • [21] Neighborhood Graph Convolutional Networks for Recommender Systems
    Liu, Tingting
    Wei, Chenghao
    Song, Baoyan
    Sun, Ruonan
    Yang, Hongxin
    Wan, Ming
    Li, Dong
    Li, Xiaoguang
    ADVANCES IN NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, ICNC-FSKD 2022, 2023, 153 : 274 - 284
  • [22] Survey on Graph Neural Networks
    Gkarmpounis, Georgios
    Vranis, Christos
    Vretos, Nicholas
    Daras, Petros
    IEEE ACCESS, 2024, 12 : 128816 - 128832
  • [23] A Recommender for Research Collaborators Using Graph Neural Networks
    Zhu, Jie
    Yaseen, Ashraf
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5
  • [24] A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
    Kose, Habib Taha
    Nunez-Yanez, Jose
    Piechocki, Robert
    Pope, James
    INFORMATION, 2024, 15 (07)
  • [25] Enhancing Matrix Factorization-based Recommender Systems via Graph Neural Networks
    Guo, Zhiwei
    Meng, Dian
    Zhang, Huiyan
    Wang, Heng
    Yu, Keping
    19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021), 2021, : 1053 - 1059
  • [26] Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
    Wang, Hongwei
    Zhang, Fuzheng
    Zhang, Mengdi
    Leskovec, Jure
    Zhao, Miao
    Li, Wenjie
    Wang, Zhongyuan
    KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 968 - 977
  • [27] Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems
    Sharifbaev, Abdurakhmon
    Mozikov, Mikhail
    Zaynidinov, Hakimjon
    Makarov, Ilya
    IEEE Access, 2024, 12 : 189439 - 189448
  • [28] A Survey on Knowledge Graph-Based Recommender Systems
    Guo, Qingyu
    Zhuang, Fuzhen
    Qin, Chuan
    Zhu, Hengshu
    Xie, Xing
    Xiong, Hui
    He, Qing
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (08) : 3549 - 3568
  • [29] HeteGraph: graph learning in recommender systems via graph convolutional networks
    Dai Hoang Tran
    Quan Z. Sheng
    Wei Emma Zhang
    Abdulwahab Aljubairy
    Munazza Zaib
    Salma Abdalla Hamad
    Nguyen H. Tran
    Nguyen Lu Dang Khoa
    Neural Computing and Applications, 2023, 35 : 13047 - 13063
  • [30] Session-Based Recommendation with Graph Neural Networks
    Wu, Shu
    Tang, Yuyuan
    Zhu, Yanqiao
    Wang, Liang
    Xie, Xing
    Tan, Tieniu
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 346 - 353
12345