Saved in:
| Main Authors: | Zhang, Shengtao, Zhang, Haokai, Lou, Shiqi, Wang, Zicheng, Zeng, Zinan, Wang, Yilin, Luo, Minnan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.17641 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
by: Xia, Riting, et al.
Published: (2025)
by: Xia, Riting, et al.
Published: (2025)
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
by: Tian, Shiyu, et al.
Published: (2023)
by: Tian, Shiyu, et al.
Published: (2023)
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts
by: Zeng, Zinan, et al.
Published: (2024)
by: Zeng, Zinan, et al.
Published: (2024)
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
by: Tan, Jiayao, et al.
Published: (2024)
by: Tan, Jiayao, et al.
Published: (2024)
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
by: Cheng, Yao, et al.
Published: (2023)
by: Cheng, Yao, et al.
Published: (2023)
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
by: Ding, Qijie, et al.
Published: (2022)
by: Ding, Qijie, et al.
Published: (2022)
Learning under Temporal Label Noise
by: Nagaraj, Sujay, et al.
Published: (2024)
by: Nagaraj, Sujay, et al.
Published: (2024)
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
by: Luo, Tianyang, et al.
Published: (2026)
by: Luo, Tianyang, et al.
Published: (2026)
Tackling the Local Bias in Federated Graph Learning
by: Zhang, Binchi, et al.
Published: (2021)
by: Zhang, Binchi, et al.
Published: (2021)
Federated Learning with Limited Node Labels
by: Tang, Bisheng, et al.
Published: (2024)
by: Tang, Bisheng, et al.
Published: (2024)
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
by: Zhang, Wei, et al.
Published: (2021)
by: Zhang, Wei, et al.
Published: (2021)
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations
by: Cummins, Chase, et al.
Published: (2024)
by: Cummins, Chase, et al.
Published: (2024)
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
by: Zhang, Tongcheng, et al.
Published: (2026)
by: Zhang, Tongcheng, et al.
Published: (2026)
Expectation Maximization Pseudo Labels
by: Xu, Moucheng, et al.
Published: (2023)
by: Xu, Moucheng, et al.
Published: (2023)
A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning
by: Liu, Jinshi, et al.
Published: (2026)
by: Liu, Jinshi, et al.
Published: (2026)
Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching
by: Qu, Yunni, et al.
Published: (2024)
by: Qu, Yunni, et al.
Published: (2024)
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
by: Zhang, Yiming, et al.
Published: (2025)
by: Zhang, Yiming, et al.
Published: (2025)
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
by: Ding, Qijie, et al.
Published: (2023)
by: Ding, Qijie, et al.
Published: (2023)
Label Distribution Learning from Logical Label
by: Jia, Yuheng, et al.
Published: (2023)
by: Jia, Yuheng, et al.
Published: (2023)
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
by: Dantas, Cassio F., et al.
Published: (2024)
by: Dantas, Cassio F., et al.
Published: (2024)
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
by: Li, Quan, et al.
Published: (2024)
by: Li, Quan, et al.
Published: (2024)
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)
by: Akujuobi, Uchenna, et al.
Published: (2019)
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
by: Shi, Zhihao, et al.
Published: (2023)
by: Shi, Zhihao, et al.
Published: (2023)
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
by: Zheng, Zinan, et al.
Published: (2024)
by: Zheng, Zinan, et al.
Published: (2024)
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
by: Li, Yuhao, et al.
Published: (2025)
by: Li, Yuhao, et al.
Published: (2025)
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
by: Zhang, Kuan, et al.
Published: (2025)
by: Zhang, Kuan, et al.
Published: (2025)
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Towards Precise Action Spotting: Addressing Temporal Misalignment in Labels with Dynamic Label Assignment
by: Tamura, Masato
Published: (2025)
by: Tamura, Masato
Published: (2025)
Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Fuzzy Label: From Concept to Its Application in Label Learning
by: Luoa, Chenxi, et al.
Published: (2025)
by: Luoa, Chenxi, et al.
Published: (2025)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Graph Neural Aggregation-diffusion with Metastability
by: Cui, Kaiyuan, et al.
Published: (2024)
by: Cui, Kaiyuan, et al.
Published: (2024)
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)
by: Wang, Zhu, et al.
Published: (2024)
Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
by: Ahadi, Pouya, et al.
Published: (2025)
by: Ahadi, Pouya, et al.
Published: (2025)
Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction
by: Daniela, G. Victor, et al.
Published: (2026)
by: Daniela, G. Victor, et al.
Published: (2026)
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)
by: Fan, Yijia, et al.
Published: (2025)
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
by: Wang, Song, et al.
Published: (2025)
by: Wang, Song, et al.
Published: (2025)
Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning
by: Li, Mengyang
Published: (2025)
by: Li, Mengyang
Published: (2025)
Similar Items
-
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
by: Wang, Yingxu, et al.
Published: (2025) -
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label
by: Xia, Riting, et al.
Published: (2025) -
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
by: Tian, Shiyu, et al.
Published: (2023) -
MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts
by: Zeng, Zinan, et al.
Published: (2024) -
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
by: Tan, Jiayao, et al.
Published: (2024)