Uncertainty Aware Semi-Supervised Learning on Graph Data

24 October 2020

Papers citing "Uncertainty Aware Semi-Supervised Learning on Graph Data"

50 / 74 papers shown

Title
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Z. Wang Zhan Cheng X. Sharon Hu Mengyuan Li Y. Zhao OODD 52 0 0 29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 136 0 0 28 Apr 2025
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
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning Jiaqi Wu Junbiao Pang Qingming Huang 60 0 0 13 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 87 0 0 11 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition Yicong Dong Rundong He Guangyao Chen Wentao Zhang Zhongyi Han Jieming Shi Yilong Yin 43 0 0 01 Mar 2025
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
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 47 2 0 20 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 104 0 0 09 Feb 2025
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation Xin Wang Xiaoyu Liu Peng Huang Pu Huang Shu Hu Hongtu Zhu UQCV 74 1 0 20 Jan 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 62 5 0 21 Oct 2024
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation Ting Yu Tsai Li Lin Shu Hu Connie W. Tsao Xin Li Ming-Ching Chang Hongtu Zhu Xin Wang Mamba 43 1 0 22 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 42 5 0 07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 32 0 0 06 Sep 2024
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna Sergio Calvo-Ordoñez Felix L. Opolka Pietro Liò Jose Miguel Hernandez-Lobato BDL 39 2 0 28 Aug 2024
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion Xu Zhang Zhipeng Xie Haiyang Yu Qitong Wang Peng Wang Wei Wang 29 0 0 25 Aug 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu Fan Nie Chenxiao Yang Junchi Yan OOD 46 1 0 07 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 36 1 0 06 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation Mohamed Ragab Peiliang Gong Emadeldeen Eldele Wenyu Zhang Min-man Wu Chuan-Sheng Foo Daoqiang Zhang Xiaoli Li Zhenghua Chen TTA AI4TS 40 2 0 04 Jun 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 31 2 0 30 May 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Philip S. Yu AI4CE 31 1 0 23 Apr 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 30 5 0 17 Apr 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 34 1 0 01 Apr 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
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 67 6 0 26 Feb 2024
Uncertainty Quantification for In-Context Learning of Large Language Models Chen Ling Xujiang Zhao Xuchao Zhang Wei Cheng Yanchi Liu ... Katsushi Matsuda Jie Ji Guangji Bai Liang Zhao Haifeng Chen 26 13 0 15 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 24 2 0 14 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models Yicui Peng Hao Chen C. Lin Guo Huang Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang LRM 55 8 0 31 Jan 2024
Multitask Active Learning for Graph Anomaly Detection Wenjing Chang Kay Liu Kaize Ding Philip S. Yu Jianjun Yu 42 8 0 24 Jan 2024
GOODAT: Towards Test-time Graph Out-of-Distribution Detection Luzhi Wang Dongxiao He He Zhang Yixin Liu Wenjie Wang Shirui Pan Di Jin Tat-Seng Chua OODD OOD 26 10 0 10 Jan 2024
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 34 13 0 19 Nov 2023
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission Jianfeng He Linlin Yu Shuo Lei Chang-Tien Lu Feng Chen UQLM 20 8 0 15 Nov 2023
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields Jing Hu Qinrui Fan Shu Hu Siwei Lyu Xi Wu Xin Wang 13 11 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
Open-World Lifelong Graph Learning Marcel Hoffmann Lukas Galke A. Scherp 19 4 0 19 Oct 2023
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 18 3 0 17 Oct 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 18 8 0 27 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 16 38 0 13 Aug 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 27 16 0 19 Jun 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang Ying Jin Emmanuel Candès J. Leskovec 40 57 0 23 May 2023
Uncertainty Propagation in Node Classification Zhao Xu Carolin (Haas) Lawrence Ammar Shaker Raman Siarheyeu BDL UQCV 37 2 0 03 Apr 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning Yang Yu Danruo Deng Fu-Lun Liu Yueming Jin Qi Dou Guangyong Chen Pheng-Ann Heng EDL BDL 27 3 0 21 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning Danruo Deng Guangyong Chen Yang Yu Fu-Lun Liu Pheng-Ann Heng EDL UQCV FedML 29 40 0 03 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 6 3 0 27 Feb 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 38 29 0 27 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 21 95 0 07 Feb 2023