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2305.14535
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Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
23 May 2023
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
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Papers citing
"Uncertainty Quantification over Graph with Conformalized Graph Neural Networks"
18 / 18 papers shown
Title
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo
Zhixin Zhou
69
4
0
03 Jan 2025
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
31
0
0
26 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
R. Kannan
Viktor Prasanna
FedML
25
0
0
17 Oct 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
Kangdao Liu
Hao Zeng
Jianguo Huang
Huiping Zhuang
Chi-Man Vong
Hongxin Wei
66
4
0
12 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
39
0
0
12 Oct 2024
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
82
3
0
09 Oct 2024
Asymptotics for conformal inference
Ulysse Gazin
26
1
0
18 Sep 2024
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Xi Chen
Rahul Bhadani
Larry Head
80
0
0
01 Aug 2024
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
40
3
0
29 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
53
1
0
20 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
Yu Gui
Ying Jin
Zhimei Ren
MedIm
33
18
0
16 May 2024
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
48
8
0
11 Mar 2024
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
109
113
0
29 Sep 2021
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
181
185
0
07 Jan 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao
Feng Chen
Shu Hu
Jin-Hee Cho
UQCV
EDL
BDL
112
130
0
24 Oct 2020
Conformal k-NN Anomaly Detector for Univariate Data Streams
Vladislav Ishimtsev
Ivan Nazarov
A. Bernstein
Evgeny Burnaev
AI4TS
115
51
0
11 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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