Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

被引:0
|
作者
Chen, Zhaoliang [1 ,2 ]
Fu, Lele [1 ,2 ]
Yao, Jie [1 ,2 ]
Guo, Wenzhong [1 ,2 ]
Plant, Claudia [3 ,4 ]
Wang, Shiping [1 ,2 ]
机构
[1] College of Computer and Data Science, Fuzhou University, Fuzhou,350116, China
[2] Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou,350116, China
[3] Faculty of Computer Science, University of Vienna, Vienna,1090, Austria
[4] Research Network Data Science @ Uni Vienna, University of Vienna, Vienna,1090, Austria
来源
arXiv | 2022年
关键词
Activation functions - Convolutional networks - Features fusions - Graph convolutional network - Graph information - Information fusion with deep learning - Multi-view datum - Multi-view learning - Network fusion - Semisupervised classification (SSC);
D O I
暂无
中图分类号
学科分类号
摘要
51
引用
收藏
相关论文
共 50 条
  • [21] Robust and Dynamic Graph Convolutional Network For Multi-view Data Classification
    Peng, Liang
    Kong, Fei
    Liu, Chongzhi
    Kuang, Ping
    COMPUTER JOURNAL, 2021, 64 (07): : 1093 - 1103
  • [22] Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis
    Wei, Xin
    Yu, Ruixuan
    Sun, Jian
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (06) : 7525 - 7541
  • [23] Heterogeneous Graph Neural Network With Multi-View Representation Learning
    Shao, Zezhi
    Xu, Yongjun
    Wei, Wei
    Wang, Fei
    Zhang, Zhao
    Zhu, Feida
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (11) : 11476 - 11488
  • [24] Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
    Zhu, Pengfei
    Yao, Xinjie
    Wang, Yu
    Cao, Meng
    Hui, Binyuan
    Zhao, Shuai
    Hu, Qinghua
    IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25 : 3033 - 3045
  • [25] Multi-view Graph Neural Network for Fair Representation Learning
    Zhang, Guixian
    Yuan, Guan
    Cheng, Debo
    He, Ludan
    Bing, Rui
    Li, Jiuyong
    Zhang, Shichao
    WEB AND BIG DATA, APWEB-WAIM 2024, PT III, 2024, 14963 : 208 - 223
  • [26] Multi-view feature selection via Nonnegative Structured Graph Learning
    Bai, Xiangpin
    Zhu, Lei
    Liang, Cheng
    Li, Jingjing
    Nie, Xiushan
    Chang, Xiaojun
    NEUROCOMPUTING, 2020, 387 : 110 - 122
  • [27] Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering
    Lin, Renjie
    Du, Shide
    Wang, Shiping
    Guo, Wenzhong
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2023, 10 (04): : 2239 - 2249
  • [28] MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network
    Li, Chao
    Zhu, Xiangkai
    Yan, Yeyu
    Zhao, Zhongying
    Su, Lingtao
    Zeng, Qingtian
    APPLIED INTELLIGENCE, 2024, 54 (17-18) : 8073 - 8091
  • [29] Multi-view graph convolutional network with comprehensive structural learning: Enhancing dynamics representation for industrial processes
    Mou, Tianhao
    Liu, Jinfeng
    Zou, Yuanyuan
    Li, Shaoyuan
    JOURNAL OF PROCESS CONTROL, 2024, 143
  • [30] A dynamic adaptive multi-view fusion graph convolutional network recommendation model with dilated mask convolution mechanism
    Liao, Jian
    Liu, Feng
    Zheng, Jianxing
    Wang, Suge
    Li, Deyu
    Chen, Qian
    INFORMATION SCIENCES, 2024, 658