Self-Constrained Graph Stochastic Neural Networks for Graphstructure Learning

被引:0
|
作者
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, International Center of Intelligent Perception and Computation, Xidian University, Xi’an [1 ]
710071, China
机构
来源
|
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Backpropagation - Graph algorithms - Graph neural networks - Graph structures - Stochastic systems
引用
收藏
相关论文
共 50 条
  • [21] Self-Supervised Learning of Graph Neural Networks: A Unified Review
    Xie, Yaochen
    Xu, Zhao
    Zhang, Jingtun
    Wang, Zhengyang
    Ji, Shuiwang
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (02) : 2412 - 2429
  • [22] Stochastic Blockmodels meet Graph Neural Networks
    Mehta, Nikhil
    Carin, Lawrence
    Rai, Piyush
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [23] A Deep Learning Gravity Inversion Method Based on a Self-Constrained Network and Its Application
    Zhou, Shuai
    Wei, Yue
    Lu, Pengyu
    Yu, Guangrui
    Wang, Shuqi
    Jiao, Jian
    Yu, Ping
    Zhao, Jianwei
    REMOTE SENSING, 2024, 16 (06)
  • [24] Power Constrained Autotuning using Graph Neural Networks
    Dutta, Akash
    Choi, Jee
    Jannesari, Ali
    2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS, 2023, : 535 - 545
  • [25] Network Topology Discovery through Self-Constrained Decisions
    Antichi, Gianni
    Di Pietro, Andrea
    Ficara, Domenico
    Giordano, Stefano
    Procissi, Gregorio
    Vitucci, Fabio
    GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-8, 2009, : 2913 - 2918
  • [26] Copper/Steel Explosive Welding with Self-Constrained Structural Explosives
    Bi, Zhixiong
    Li, Xuejiao
    Yong, Wu
    Gao, Yugang
    Quan, Wang
    RARE METAL MATERIALS AND ENGINEERING, 2022, 51 (10) : 3611 - 3618
  • [27] Graph Neural Networks for Brain Graph Learning: A Survey
    Luo, Xuexiong
    Wu, Jia
    Yang, Jian
    Xue, Shan
    Beheshti, Amin
    Sheng, Quan Z.
    McAlpine, David
    Sowman, Paul
    Giral, Alexis
    Yu, Philip S.
    PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, 2024, : 8170 - 8178
  • [28] Graph Structure Learning for Robust Graph Neural Networks
    Jin, Wei
    Ma, Yao
    Liu, Xiaorui
    Tang, Xianfeng
    Wang, Suhang
    Tang, Jiliang
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 66 - 74
  • [29] Heterogeneous Graph Structure Learning for Graph Neural Networks
    Zhao, Jianan
    Wang, Xiao
    Shi, Chuan
    Hu, Binbin
    Song, Guojie
    Ye, Yanfang
    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 : 4697 - 4705
  • [30] Learning Graph Neural Networks with Deep Graph Library
    Zheng, Da
    Wang, Minjie
    Gan, Quan
    Zhang, Zheng
    Karypis, George
    WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020, 2020, : 305 - 306