Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks

被引：0
|
作者：
Li, Yang [1 ]
Tanaka, Yuichi [1 ]
机构：
[1] Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
来源：
IEEE Access | 2022年 / 10卷
关键词：
46;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：16624 / 16633
相关论文
共 50 条
  • [21] Position and structure-aware graph learning
    Ye, Guoqiang
    Song, Juan
    Feng, Mingtao
    Zhu, Guangming
    Shen, Peiyi
    Zhang, Liang
    Shah, Syed Afaq Ali
    Bennamoun, Mohammed
    [J]. NEUROCOMPUTING, 2023, 556
  • [22] Structure-aware human pose estimation with graph convolutional networks
    Bin, Yanrui
    Chen, Zhao-Min
    Wei, Xiu-Shen
    Chen, Xinya
    Gao, Changxin
    Sang, Nong
    [J]. PATTERN RECOGNITION, 2020, 106
  • [23] Graph matching as a graph convolution operator for graph neural networks
    Martineau, Chloe
    Raveaux, Romain
    Conte, Donatello
    Venturini, Gilles
    [J]. PATTERN RECOGNITION LETTERS, 2021, 149 : 59 - 66
  • [24] Graph matching as a graph convolution operator for graph neural networks
    Martineau, Chloé
    Raveaux, Romain
    Conte, Donatello
    Venturini, Gilles
    [J]. Pattern Recognition Letters, 2021, 149 : 59 - 66
  • [25] Structure-aware siamese graph neural networks for encounter-level patient similarity learning
    Gu, Yifan
    Yang, Xuebing
    Tian, Lei
    Yang, Hongyu
    Lv, Jicheng
    Yang, Chao
    Wang, Jinwei
    Xi, Jianing
    Kong, Guilan
    Zhang, Wensheng
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 127
  • [26] Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base
    Zhang, Yanan
    Jin, Li
    Li, Xiaoyu
    Wang, Honqi
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [27] HGNN-QSSA: Heterogeneous Graph Neural Networks With Quantitative Sampling and Structure-Aware Attention
    Zhao, Qin
    Miao, Yaru
    An, Dongdong
    Lian, Jie
    Li, Maozhen
    [J]. IEEE ACCESS, 2024, 12 : 25512 - 25524
  • [28] Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
    Li, Shuangli
    Zhou, Jingbo
    Xu, Tong
    Huang, Liang
    Wang, Fan
    Xiong, Haoyi
    Huang, Weili
    Dou, Dejing
    Xiong, Hui
    [J]. KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 975 - 985
  • [29] A Heterogeneous Graph Neural Network With Attribute Enhancement and Structure-Aware Attention
    Fan, Shenghang
    Liu, Guanjun
    Li, Jian
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (01): : 829 - 838
  • [30] Not all edges are peers: Accurate structure-aware graph pooling networks
    Yu, Hualei
    Yuan, Jinliang
    Yao, Yirong
    Wang, Chongjun
    [J]. NEURAL NETWORKS, 2022, 156 : 58 - 66
12345