user

Graph Wavelet Convolutional Network with Graph Clustering

被引：0
|
作者：
Inatsuki, Hiroki [1 ]
Uto, Toshiyuki [1 ]
机构：
[1] Ehime Univ, Fac Engn, 3 Bunkyo Cho, Matsuyama, Ehime 7998577, Japan
来源：
2022 37TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2022) | 2022年
关键词：
Graph wavelet transform; Graph Convolutional Network (GCN); Graph clustering algorithm; Graph Wavelet Convolutional Network (GWCN);
D O I：
10.1109/ITC-CSCC55581.2022.989509
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we present a novel Graph Wavelet Convolutional Network (GWCN) approach with a graph clustering algorithm such as METIS. GWCN is a graph wavelet transform-based method. It has better locality than Graph Convolutional Network (GCN) using the graph Fourier transform, and results higher classification accuracy. In this work, the graph clustering algorithm is applied to GWCN for providing a mechanism to the mini-batch selection in deep learning, which has an effective impact on learning.
引用
收藏
页码：165 / 168
页数：4
相关论文
共 50 条
  • [21] Masked Graph Convolutional Network
    Yang, Liang
    Wu, Fan
    Wang, Yingkui
    Gu, Junhua
    Guo, Yuanfang
    [J]. PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 4070 - 4077
  • [22] Epidemic Graph Convolutional Network
    Derr, Tyler
    Ma, Yao
    Fan, Wenqi
    Liu, Xiaorui
    Aggarwal, Charu
    Tang, Jiliang
    [J]. PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM '20), 2020, : 160 - 168
  • [23] Graph Convolutional Network Hashing
    Zhou, Xiang
    Shen, Fumin
    Liu, Li
    Liu, Wei
    Nie, Liqiang
    Yang, Yang
    Shen, Heng Tao
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (04) : 1460 - 1472
  • [24] Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation
    Guo, Zengqiang
    Yang, Yan
    Zhang, Jijie
    Zhou, Tianqi
    Song, Bangyu
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2022, PT II, 2022, 13530 : 532 - 543
  • [25] Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck
    Zhong, Luying
    Chen, Zhaoliang
    Wu, Zhihao
    Du, Shide
    Chen, Zheyi
    Wang, Shiping
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, : 1 - 14
  • [26] DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network
    Cui, Zeyu
    Li, Zekun
    Wu, Shu
    Zhang, Xiaoyu
    Liu, Qiang
    Wang, Liang
    Ai, Mengmeng
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (04) : 4635 - 4646
  • [27] Intrinsic graph topological correlation for graph convolutional network propagation
    Coskun, Mustafa
    [J]. COMPUTER STANDARDS & INTERFACES, 2023, 83
  • [28] Graph-in-Graph Convolutional Network for Hyperspectral Image Classification
    Jia, Sen
    Jiang, Shuguo
    Zhang, Shuyu
    Xu, Meng
    Jia, Xiuping
    [J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35 (01) : 1157 - 1171
  • [29] A deep graph convolutional neural network architecture for graph classification
    Zhou, Yuchen
    Huo, Hongtao
    Hou, Zhiwen
    Bu, Fanliang
    [J]. PLOS ONE, 2023, 18 (03):
  • [30] A deep graph convolutional neural network architecture for graph classification
    Zhou, Yuchen
    Huo, Hongtao
    Hou, Zhiwen
    Bu, Fanliang
    [J]. PLOS BIOLOGY, 2023, 21 (03)
12345