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Uncertainty Quantification over Graph with Conformalized Graph Neural
  Networks

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

23 May 2023
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
ArXivPDFHTML

Papers citing "Uncertainty Quantification over Graph with Conformalized Graph Neural Networks"

16 / 16 papers shown
Title
Conformalized Interval Arithmetic with Symmetric Calibration
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo
Zhixin Zhou
56
4
0
03 Jan 2025
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
24
0
0
26 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing
  Neighbor Information
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
R. Kannan
Viktor Prasanna
FedML
13
0
0
17 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
34
0
0
12 Oct 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
Kangdao Liu
Hao Zeng
Jianguo Huang
Huiping Zhuang
Chi-Man Vong
Hongxin Wei
55
4
0
12 Oct 2024
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
56
2
0
09 Oct 2024
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
Xi Chen
Rahul Bhadani
Larry Head
75
0
0
01 Aug 2024
Valid Conformal Prediction for Dynamic GNNs
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
32
3
0
29 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
45
1
0
20 May 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 Mar 2024
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence
  Calibration
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
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
176
184
0
07 Jan 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
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
Conformal k-NN Anomaly Detector for Univariate Data Streams
Conformal k-NN Anomaly Detector for Univariate Data Streams
Vladislav Ishimtsev
Ivan Nazarov
A. Bernstein
Evgeny Burnaev
AI4TS
107
51
0
11 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
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
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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