Copertina

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wen, Tao, Chen, Elynn, Chen, Yuzhou, Lei, Qi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Tensor-view Topological Graph Neural Network
di: Wen, Tao, et al.
Pubblicazione: (2024)

Tensor-Fused Multi-View Graph Contrastive Learning
di: Wu, Yujia, et al.
Pubblicazione: (2024)

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
di: Wu, Yujia, et al.
Pubblicazione: (2024)

Conditional Prediction ROC Bands for Graph Classification
di: Wu, Yujia, et al.
Pubblicazione: (2024)

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection
di: Chen, Elynn, et al.
Pubblicazione: (2026)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
di: Chen, Elynn, et al.
Pubblicazione: (2024)

ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
di: Mo, Junyi, et al.
Pubblicazione: (2025)

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
di: Kong, Linghang, et al.
Pubblicazione: (2024)

High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
di: Chen, Elynn, et al.
Pubblicazione: (2025)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
di: Liu, Meihan, et al.
Pubblicazione: (2024)

Gradual Domain Adaptation for Graph Learning
di: Lei, Pui Ieng, et al.
Pubblicazione: (2025)

SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
di: Zhu, Yushan, et al.
Pubblicazione: (2024)

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
di: Yuan, Jin, et al.
Pubblicazione: (2022)

Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management
di: Ghosh, Samujjwal, et al.
Pubblicazione: (2021)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
di: Wang, Yingxu, et al.
Pubblicazione: (2025)

Statistical Inference for Low-Rank Tensor Models
di: Xu, Ke, et al.
Pubblicazione: (2025)

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective
di: Wang, Senmiao, et al.
Pubblicazione: (2025)

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
di: Dong, Xiangyu, et al.
Pubblicazione: (2025)

Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs
di: Zhou, Runlin, et al.
Pubblicazione: (2025)

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
di: Wang, Yingxu, et al.
Pubblicazione: (2026)

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
di: Chen, Qin, et al.
Pubblicazione: (2025)

Graph Propagation Transformer for Graph Representation Learning
di: Chen, Zhe, et al.
Pubblicazione: (2023)

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
di: Chen, Elynn, et al.
Pubblicazione: (2026)

Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
di: Chen, Elynn, et al.
Pubblicazione: (2024)

Invariant-Stratified Propagation for Expressive Graph Neural Networks
di: Hevapathige, Asela, et al.
Pubblicazione: (2026)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
di: Cheng, Yao, et al.
Pubblicazione: (2023)

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes
di: Zhong, Ming, et al.
Pubblicazione: (2024)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
di: Wang, Yilong, et al.
Pubblicazione: (2025)

ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
di: Chen, Zhuo, et al.
Pubblicazione: (2023)

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
di: Chai, Jinhang, et al.
Pubblicazione: (2025)

Transition Transfer $Q$-Learning for Composite Markov Decision Processes
di: Chai, Jinhang, et al.
Pubblicazione: (2025)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
di: Chen, Wei, et al.
Pubblicazione: (2024)

Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
di: Liu, Yuzhou, et al.
Pubblicazione: (2025)

Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective
di: Zhang, Haoyu, et al.
Pubblicazione: (2025)

GraphPI: Efficient Protein Inference with Graph Neural Networks
di: Ma, Zheng, et al.
Pubblicazione: (2026)

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
di: Chen, Wei, et al.
Pubblicazione: (2026)

A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
di: Chen, Andi
Pubblicazione: (2025)

Heterophilous Distribution Propagation for Graph Neural Networks
di: Zheng, Zhuonan, et al.
Pubblicazione: (2024)

Bayesian Neighborhood Adaptation for Graph Neural Networks
di: Regmi, Paribesh, et al.
Pubblicazione: (2026)

Learning Fair Domain Adaptation with Virtual Label Distribution
di: Zhang, Yuguang, et al.
Pubblicazione: (2026)