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Accurate and Scalable Estimation of Epistemic Uncertainty for Graph
  Neural Networks

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

7 January 2024
Puja Trivedi
Mark Heimann
Rushil Anirudh
Danai Koutra
Jayaraman J. Thiagarajan
    UQCV
ArXiv (abs)PDFHTMLGithub

Papers citing "Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks"

6 / 6 papers shown
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Dominik Fuchsgruber
Tom Wollschlager
Johannes Bordne
Stephan Günnemann
242
1
0
28 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A SurveyACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
1.2K
12
0
04 May 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent GenerationInternational Conference on Learning Representations (ICLR), 2025
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
1.0K
17
0
09 Feb 2025
Uncertainty Quantification on Graph Learning: A Survey
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
Philip Yu
479
3
0
23 Apr 2024
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah Helgesen
Michael Felsberg
Jan-AAke Larsson
194
0
0
16 Oct 2023
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.6K
1,154
0
02 Mar 2020
1
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