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JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
被引:0
作者
:
Kang, Jian
论文数:
0
引用数:
0
h-index:
0
机构:
University of Illinois at Urbana-Champaign, Urbana,IL, United States
University of Illinois at Urbana-Champaign, Urbana,IL, United States
Kang, Jian
[
1
]
Zhou, Qinghai
论文数:
0
引用数:
0
h-index:
0
机构:
University of Illinois at Urbana-Champaign, Urbana,IL, United States
University of Illinois at Urbana-Champaign, Urbana,IL, United States
Zhou, Qinghai
[
1
]
Tong, Hanghang
论文数:
0
引用数:
0
h-index:
0
机构:
University of Illinois at Urbana-Champaign, Urbana,IL, United States
University of Illinois at Urbana-Champaign, Urbana,IL, United States
Tong, Hanghang
[
1
]
机构
:
[1]
University of Illinois at Urbana-Champaign, Urbana,IL, United States
来源
:
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
|
2022年
关键词
:
Compendex;
D O I
:
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
中图分类号
:
学科分类号
:
摘要
:
Graph neural networks
引用
收藏
页码:742 / 752
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