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Towards OOD Detection in Graph Classification from Uncertainty
  Estimation Perspective

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective

21 June 2022
Gleb Bazhenov
Sergei Ivanov
Maxim Panov
Alexey Zaytsev
Evgeny Burnaev
    UQCV
ArXivPDFHTML

Papers citing "Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective"

10 / 10 papers shown
Title
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
69
3
0
18 Apr 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
46
1
0
25 Feb 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance
Shenzhi Yang
Junbo Zhao
Shouqing Yang
Yixuan Li
Dingyu Yang
Xiaofang Zhang
Haobo Wang
OODD
51
0
0
22 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
110
0
0
09 Feb 2025
Mitigating Graph Covariate Shift via Score-based Out-of-distribution
  Augmentation
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation
Bohan Wang
Yurui Chang
Lu Lin
OODD
OOD
37
0
0
23 Oct 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
48
8
0
11 Mar 2024
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitian Wu
Yiting Chen
Chenxiao Yang
Junchi Yan
OODD
21
57
0
06 Feb 2023
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
115
130
0
24 Oct 2020
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
276
5,661
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
285
9,138
0
06 Jun 2015
1