JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks

被引：0
|
作者：
Kang, Jian [1 ]
Zhou, Qinghai [1 ]
Tong, Hanghang [1 ]
机构：
[1] University of Illinois at Urbana-Champaign, United States
来源：
arXiv | 2022年
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Graph neural networks
引用
收藏
相关论文
共 50 条
  • [1] JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
    Kang, Jian
    Zhou, Qinghai
    Tong, Hanghang
    [J]. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022, : 742 - 752
  • [2] JURYGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
    Kang, Jian
    Zhou, Qinghai
    Tong, Hanghang
    [J]. PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 742 - 752
  • [3] Autonomous Exploration Under Uncertainty via Graph Convolutional Networks
    Chen, Fanfei
    Wang, Jinkun
    Shan, Tixiao
    Englot, Brendan
    [J]. ROBOTICS RESEARCH: THE 19TH INTERNATIONAL SYMPOSIUM ISRR, 2022, 20 : 676 - 691
  • [4] A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks
    Munikoti, Sai
    Agarwal, Deepesh
    Das, Laya
    Natarajan, Balasubramaniam
    [J]. NEUROCOMPUTING, 2023, 521 : 1 - 10
  • [5] Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
    Soberanis-Mukul, Roger D.
    Navab, Nassir
    Albarqouni, Shadi
    [J]. MEDICAL IMAGING WITH DEEP LEARNING, VOL 121, 2020, 121 : 755 - 769
  • [6] Graph sparsification with graph convolutional networks
    Jiayu Li
    Tianyun Zhang
    Hao Tian
    Shengmin Jin
    Makan Fardad
    Reza Zafarani
    [J]. International Journal of Data Science and Analytics, 2022, 13 : 33 - 46
  • [7] Graph sparsification with graph convolutional networks
    Li, Jiayu
    Zhang, Tianyun
    Tian, Hao
    Jin, Shengmin
    Fardad, Makan
    Zafarani, Reza
    [J]. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2022, 13 (01) : 33 - 46
  • [8] Graph Convolutional Kernel Machine versus Graph Convolutional Networks
    Wu, Zhihao
    Zhang, Zhao
    Fan, Jicong
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [9] Graph Convolutional Networks for Road Networks
    Jepsen, Tobias Skovgaard
    Jensen, Christian S.
    Nielsen, Thomas Dyhre
    [J]. 27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 460 - 463
  • [10] Graph Convolutional Networks with EigenPooling
    Ma, Yao
    Wang, Suhang
    Aggarwal, Charu C.
    Tang, Jiliang
    [J]. KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 723 - 731
12345