Graph convolutional networks for health state diagnostics

被引:0
|
作者
Department of Mechanical Engineering, Universidad de Chile, Chile [1 ]
不详 [2 ]
机构
来源
关键词
Adjacency matrices - Arbitrary structures - Convolutional networks - Current loads - Degradation process - Health state diagnosis - State of the art - Transport systems;
D O I
29th European Safety and Reliability Conference, ESREL 2019
中图分类号
学科分类号
摘要
9
引用
收藏
相关论文
共 50 条
  • [1] Graph sparsification with graph convolutional networks
    Jiayu Li
    Tianyun Zhang
    Hao Tian
    Shengmin Jin
    Makan Fardad
    Reza Zafarani
    International Journal of Data Science and Analytics, 2022, 13 : 33 - 46
  • [2] Graph sparsification with graph convolutional networks
    Li, Jiayu
    Zhang, Tianyun
    Tian, Hao
    Jin, Shengmin
    Fardad, Makan
    Zafarani, Reza
    INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2022, 13 (01) : 33 - 46
  • [3] Graph Convolutional Kernel Machine versus Graph Convolutional Networks
    Wu, Zhihao
    Zhang, Zhao
    Fan, Jicong
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [4] Graph Convolutional Networks for Road Networks
    Jepsen, Tobias Skovgaard
    Jensen, Christian S.
    Nielsen, Thomas Dyhre
    27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 460 - 463
  • [5] NONLINEAR STATE-SPACE GENERALIZATIONS OF GRAPH CONVOLUTIONAL NEURAL NETWORKS
    Ruiz, Luana
    Gama, Fernando
    Ribeiro, Alejandro
    Isufi, Elvin
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 5265 - 5269
  • [6] Graph Convolutional Networks with EigenPooling
    Ma, Yao
    Wang, Suhang
    Aggarwal, Charu C.
    Tang, Jiliang
    KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 723 - 731
  • [7] Deformable Graph Convolutional Networks
    Park, Jinyoung
    Yoo, Sungdong
    Park, Jihwan
    Kim, Hyunwoo J.
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 7949 - 7956
  • [8] Dynamic graph convolutional networks
    Manessi, Franco
    Rozza, Alessandro
    Manzo, Mario
    PATTERN RECOGNITION, 2020, 97
  • [9] Lorentzian Graph Convolutional Networks
    Zhang, Yiding
    Wang, Xiao
    Shi, Chuan
    Liu, Nian
    Song, Guojie
    PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021), 2021, : 1249 - 1261
  • [10] Disentangled Graph Convolutional Networks
    Ma, Jianxin
    Cui, Peng
    Kuang, Kun
    Wang, Xin
    Zhu, Wenwu
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97