Imagen de Portada

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Wei, Ye, Guo, Wang, Yakun, Zhang, Zhao, Zhang, Libang, Wang, Daixin, Zhang, Zhiqiang, Zhuang, Fuzhen
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
por: Chen, Wei, et al.
Publicado: (2026)

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

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
por: Chen, Yiwen, et al.
Publicado: (2025)

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

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

FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
por: Chen, Wei, et al.
Publicado: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
por: Liu, Meihan, et al.
Publicado: (2024)

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
por: Hu, Yingqi, et al.
Publicado: (2025)

Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
por: Wei, Ziquan, et al.
Publicado: (2024)

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
por: Wang, Yakun, et al.
Publicado: (2024)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation
por: Yin, Qing, et al.
Publicado: (2024)

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
por: Kruse, Maya, et al.
Publicado: (2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
por: Chen, Wei, et al.
Publicado: (2025)

Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation
por: Ye, Ziyu, et al.
Publicado: (2025)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation
por: Luo, Junyu, et al.
Publicado: (2024)

Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games
por: Fan, Mingyuan, et al.
Publicado: (2026)

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
por: Wang, Lianyu, et al.
Publicado: (2022)

FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
por: Chen, Wei, et al.
Publicado: (2025)

Gradient Harmonization in Unsupervised Domain Adaptation
por: Huang, Fuxiang, et al.
Publicado: (2024)

Information-Theoretic Constraints for Continual Vision-Language-Action Alignment
por: Zhao, Libang, et al.
Publicado: (2026)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
por: Zhang, Haonan, et al.
Publicado: (2024)

Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
por: Ma, Yao, et al.
Publicado: (2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
por: Zhang, Zhen, et al.
Publicado: (2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
por: Zhao, Yukun, et al.
Publicado: (2023)

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
por: Chen, Wei, et al.
Publicado: (2026)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
por: Xi, Dongbo, et al.
Publicado: (2024)

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
por: Zhao, Tianxiang, et al.
Publicado: (2024)

Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
por: Yu, Xiaowei, et al.
Publicado: (2024)

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
por: Wang, Zhijie, et al.
Publicado: (2022)

Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems
por: Zhang, Wenwen, et al.
Publicado: (2024)

M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities?
por: Li, Ao, et al.
Publicado: (2026)

Graph Dimension Attention Networks for Enterprise Credit Assessment
por: Wei, Shaopeng, et al.
Publicado: (2024)

Concept-Based Unsupervised Domain Adaptation
por: Xu, Xinyue, et al.
Publicado: (2025)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
por: Yang, Jiawen, et al.
Publicado: (2025)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
por: Wu, Yiqing, et al.
Publicado: (2024)

Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
por: Wei, Shaopeng, et al.
Publicado: (2022)

Hyperbolic Diffusion Recommender Model
por: Yuan, Meng, et al.
Publicado: (2025)

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
por: Du, Zhekai, et al.
Publicado: (2024)

Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
por: Xu, Yinsong, et al.
Publicado: (2023)

UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation
por: Chen, Haopeng, et al.
Publicado: (2026)