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Conformalized Link Prediction on Graph Neural Networks

Conformalized Link Prediction on Graph Neural Networks

26 June 2024
Tianyi Zhao
Jian Kang
Lu Cheng
ArXivPDFHTML

Papers citing "Conformalized Link Prediction on Graph Neural Networks"

7 / 7 papers shown
Title
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
40
2
0
09 Oct 2024
Calibration of Natural Language Understanding Models with Venn--ABERS
  Predictors
Calibration of Natural Language Understanding Models with Venn--ABERS Predictors
Patrizio Giovannotti
30
6
0
21 May 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
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
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
173
184
0
07 Jan 2021
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
245
9,042
0
06 Jun 2015
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