Image de couverture de livre

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Wei, Guo, Xingyu, Li, Shuang, Zhang, Zhao, Zhong, Yan, Zhuang, Fuzhen, wang, Deqing
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
par: Chen, Wei, et autres
Publié: (2026)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
par: Chen, Wei, et autres
Publié: (2024)

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
par: Chen, Yiwen, et autres
Publié: (2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
par: Chen, Wei, et autres
Publié: (2025)

FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
par: Chen, Wei, et autres
Publié: (2024)

SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
par: Chen, Wei, et autres
Publié: (2026)

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
par: Luo, Junyu, et autres
Publié: (2024)

FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents
par: Dou, Zheng, et autres
Publié: (2025)

Graph Dimension Attention Networks for Enterprise Credit Assessment
par: Wei, Shaopeng, et autres
Publié: (2024)

Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
par: Lu, Xiaodong, et autres
Publié: (2026)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
par: Wu, Yiqing, et autres
Publié: (2024)

Hyperbolic Diffusion Recommender Model
par: Yuan, Meng, et autres
Publié: (2025)

Context-Aware Self-Adaptation for Domain Generalization
par: Yan, Hao, et autres
Publié: (2025)

Graph Domain Adaptation: Challenges, Progress and Prospects
par: Shi, Boshen, et autres
Publié: (2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
par: Zhang, Zhen, et autres
Publié: (2024)

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
par: Guo, Zihao, et autres
Publié: (2025)

On the Benefits of Attribute-Driven Graph Domain Adaptation
par: Fang, Ruiyi, et autres
Publié: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
par: Wang, Yilong, et autres
Publié: (2025)

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
par: Xu, Hangtong, et autres
Publié: (2023)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
par: Lagesse, Adrien, et autres
Publié: (2025)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
par: Zhao, Gongpei, et autres
Publié: (2024)

FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling
par: Chen, Xingyan, et autres
Publié: (2026)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
par: Liu, Meihan, et autres
Publié: (2024)

Partial Domain Adaptation via Importance Sampling-based Shift Correction
par: Guo, Cheng-Jun, et autres
Publié: (2025)

Graph Neural Thompson Sampling
par: Wu, Shuang, et autres
Publié: (2024)

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
par: Wang, Yingxu, et autres
Publié: (2025)

MLDGG: Meta-Learning for Domain Generalization on Graphs
par: Tian, Qin, et autres
Publié: (2024)

SA-GDA: Spectral Augmentation for Graph Domain Adaptation
par: Pang, Jinhui, et autres
Publié: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
par: Liu, Meihan, et autres
Publié: (2024)

Degree-Conscious Spiking Graph for Cross-Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2024)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
par: Ao, Shuang, et autres
Publié: (2025)

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
par: Guo, Wei, et autres
Publié: (2025)

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
par: Guo, Wei, et autres
Publié: (2025)

LLMBoost: Make Large Language Models Stronger with Boosting
par: Chen, Zehao, et autres
Publié: (2025)

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
par: Hu, Tianle, et autres
Publié: (2025)

Evidence-based Distributional Alignment for Large Language Models
par: Pham, Viet-Thanh, et autres
Publié: (2026)

Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
par: Zhang, Xiao, et autres
Publié: (2025)

Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation
par: Kim, Seonghwi, et autres
Publié: (2026)

PyGDA: A Python Library for Graph Domain Adaptation
par: Zhang, Zhen, et autres
Publié: (2025)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
par: Guo, Jingwei, et autres
Publié: (2024)