Going Deeper into Permutation-Sensitive Graph Neural Networks

被引：0
|
作者：
Huang, Zhongyu [1 ,2 ]
Wang, Yingheng [3 ,4 ]
Li, Chaozhuo [5 ]
He, Huiguang [1 ,2 ,6 ]
机构：
[1] National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
[2] School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
[3] Department of Electronic Engineering, Tsinghua University, Beijing, China
[4] Department of Biomedical Engineering, Johns Hopkins University, Baltimore,MD, United States
[5] Microsoft Research Asia, Beijing, China
[6] Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
来源：
Proceedings of Machine Learning Research | 2022年 / 162卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：9377 / 9409
相关论文
共 50 条
  • [41] Rethinking Graph Regularization for Graph Neural Networks
    Yang, Han
    Ma, Kaili
    Cheng, James
    [J]. THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 4573 - 4581
  • [42] Graph Neural Networks with Local Graph Parameters
    Barcelo, Pablo
    Geerts, Floris
    Reutter, Juan
    Ryschkov, Maksimilian
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [43] Semisupervised Graph Neural Networks for Graph Classification
    Xie, Yu
    Liang, Yanfeng
    Gong, Maoguo
    Qin, A. K.
    Ong, Yew-Soon
    He, Tiantian
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (10) : 6222 - 6235
  • [44] Learning graph normalization for graph neural networks
    Chen, Yihao
    Tang, Xin
    Qi, Xianbiao
    Li, Chun-Guang
    Xiao, Rong
    [J]. NEUROCOMPUTING, 2022, 493 : 613 - 625
  • [45] Training Thinner and Deeper Neural Networks: Jumpstart Regularization
    Riera, Carles
    Rey, Camilo
    Serra, Thiago
    Puertas, Eloi
    Pujol, Oriol
    [J]. INTEGRATION OF CONSTRAINT PROGRAMMING, ARTIFICIAL INTELLIGENCE, AND OPERATIONS RESEARCH, CPAIOR 2022, 2022, 13292 : 345 - 357
  • [46] SCENE TEXT RECOGNITION WITH DEEPER CONVOLUTIONAL NEURAL NETWORKS
    Zhang, Yuqi
    Wang, Wei
    Wang, Liang
    Wang, Liuan
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 2384 - 2388
  • [47] The Logic of Graph Neural Networks
    Grohe, Martin
    [J]. 2021 36TH ANNUAL ACM/IEEE SYMPOSIUM ON LOGIC IN COMPUTER SCIENCE (LICS), 2021,
  • [48] Graph Pointer Neural Networks
    Yang, Tianmeng
    Wang, Yujing
    Yue, Zhihan
    Yang, Yaming
    Tong, Yunhai
    Bai, Jing
    [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, : 8832 - 8839
  • [49] Benchmarking Graph Neural Networks
    Dwivedi, Vijay Prakash
    Joshi, Chaitanya K.
    Luu, Anh Tuan
    Laurent, Thomas
    Bengio, Yoshua
    Bresson, Xavier
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2022, 23
  • [50] Graph Kernel Neural Networks
    Cosmo, Luca
    Minello, Giorgia
    Bicciato, Alessandro
    Bronstein, Michael M.
    Rodola, Emanuele
    Rossi, Luca
    Torsello, Andrea
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024,
12345