Image de couverture de livre

Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Yankai, Wang, Taotao, Fang, Yixiang, Xiao, Yunyu
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
par: Chen, Yankai, et autres
Publié: (2024)

Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
par: Huang, Zibin, et autres
Publié: (2024)

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
par: Achten, Sonny, et autres
Publié: (2023)

Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis
par: Li, Kunrong, et autres
Publié: (2025)

TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding
par: Liang, Yuyang, et autres
Publié: (2025)

Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
par: Zhang, Baoming, et autres
Publié: (2025)

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
par: Lu, Weigang, et autres
Publié: (2024)

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
par: Liu, Yanbin, et autres
Publié: (2019)

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
par: Ledent, Antoine, et autres
Publié: (2025)

Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
par: Sun, Henan, et autres
Publié: (2023)

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
par: Shen, Zhaiming, et autres
Publié: (2022)

Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
par: Akujuobi, Uchenna, et autres
Publié: (2019)

SemiReward: A General Reward Model for Semi-supervised Learning
par: Li, Siyuan, et autres
Publié: (2023)

Graph Similarity Regularized Softmax for Semi-Supervised Node Classification
par: Yang, Yiming, et autres
Publié: (2024)

Exploring Probabilistic Models for Semi-supervised Learning
par: Wang, Jianfeng
Publié: (2024)

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
par: Zhang, Xuelin, et autres
Publié: (2026)

Semi-supervised Domain Adaptation in Graph Transfer Learning
par: Qiao, Ziyue, et autres
Publié: (2023)

Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
par: Lin, Hui, et autres
Publié: (2024)

Feature Space Renormalization for Semi-supervised Learning
par: Sun, Jun, et autres
Publié: (2023)

Uncertainty-Aware Token Importance Estimation in Spiking Transformers
par: Liu, Wenxuan, et autres
Publié: (2026)

Semi-supervised Contrastive Learning Using Partial Label Information
par: Hansen, Colin B., et autres
Publié: (2020)

Distributed Estimation and Inference for Semi-parametric Binary Response Models
par: Chen, Xi, et autres
Publié: (2022)

Geometric Imbalance in Semi-Supervised Node Classification
par: Yan, Liang, et autres
Publié: (2023)

Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
par: Li, Yankai, et autres
Publié: (2025)

Incremental Self-training for Semi-supervised Learning
par: Guo, Jifeng, et autres
Publié: (2024)

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
par: Xiao, Jiaren, et autres
Publié: (2023)

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
par: Zhang, Tianyu, et autres
Publié: (2024)

NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
par: Yang, Shenzhi, et autres
Publié: (2025)

On the Importance of Uncertainty in Decision-Making with Large Language Models
par: Felicioni, Nicolò, et autres
Publié: (2024)

Semi-supervised learning for linear extremile regression
par: Jiang, Rong, et autres
Publié: (2025)

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
par: Chen, Tsao-Lun, et autres
Publié: (2026)

A Semi-supervised CART Model for Covariate Shift
par: Cai, Mingyang, et autres
Publié: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
par: Wang, Yifan, et autres
Publié: (2024)

Semi-supervised Concept Bottleneck Models
par: Hu, Lijie, et autres
Publié: (2024)

Mixed Graph Contrastive Network for Semi-Supervised Node Classification
par: Yang, Xihong, et autres
Publié: (2022)

Semi-supervised Fréchet Regression
par: Qiu, Rui, et autres
Publié: (2024)

Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
par: Sun, Ke, et autres
Publié: (2021)

Probability-density-aware Semi-supervised Learning
par: Liu, Shuyang, et autres
Publié: (2024)

Generative Semi-supervised Graph Anomaly Detection
par: Qiao, Hezhe, et autres
Publié: (2024)

Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
par: Wang, Emily, et autres
Publié: (2025)