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2403.07185
Cited By
Uncertainty in Graph Neural Networks: A Survey
11 March 2024
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
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Papers citing
"Uncertainty in Graph Neural Networks: A Survey"
11 / 11 papers shown
Title
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection
Songran Bai
Xiaolong Zheng
D. Zeng
35
0
0
03 Apr 2025
Towards Anthropomorphic Conversational AI Part I: A Practical Framework
Fei Wei
Yaliang Li
Bolin Ding
36
0
0
28 Feb 2025
Uncertainty-Aware Graph Structure Learning
Shen Han
Zhiyao Zhou
Jiawei Chen
Zhezheng Hao
Sheng Zhou
Gang Wang
Yan Feng
C. L. P. Chen
C. Wang
38
1
0
20 Feb 2025
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
43
1
0
20 May 2024
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Philip S. Yu
AI4CE
24
1
0
23 Apr 2024
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
84
59
0
07 Oct 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Zhiqiang Zhang
Jun Zhou
90
52
0
27 Jan 2022
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
93
113
0
29 Sep 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
102
130
0
24 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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