Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Fuente:
arXiv
Saved in:
| Main Authors: | Alchihabi, Abdullah, Guo, Yuhong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
by: Alchihabi, Abdullah, et al.
Published: (2024)
by: Alchihabi, Abdullah, et al.
Published: (2024)
A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Zero-Shot Action Generalization with Limited Observations
by: Alchihabi, Abdullah, et al.
Published: (2025)
by: Alchihabi, Abdullah, et al.
Published: (2025)
Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2026)
by: Zhang, Hanping, et al.
Published: (2026)
Diffusion Modulation via Environment Mechanism Modeling for Planning
by: Zhang, Hanping, et al.
Published: (2026)
by: Zhang, Hanping, et al.
Published: (2026)
LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)
by: Zhang, Hanping, et al.
Published: (2025)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)
by: Gu, Xizhi, et al.
Published: (2024)
Graph Contrastive Learning with Cohesive Subgraph Awareness
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
Context-Aware Self-Adaptation for Domain Generalization
by: Yan, Hao, et al.
Published: (2025)
by: Yan, Hao, et al.
Published: (2025)
Learning Unbiased Permutations via Flow Matching
by: Min, Yimeng, et al.
Published: (2026)
by: Min, Yimeng, et al.
Published: (2026)
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
by: Peng, Zihao, et al.
Published: (2025)
by: Peng, Zihao, et al.
Published: (2025)
Skill-based Safe Reinforcement Learning with Risk Planning
by: Zhang, Hanping, et al.
Published: (2025)
by: Zhang, Hanping, et al.
Published: (2025)
Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations
by: Zhang, Hanping, et al.
Published: (2024)
by: Zhang, Hanping, et al.
Published: (2024)
Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards
by: Zhang, Hanping, et al.
Published: (2025)
by: Zhang, Hanping, et al.
Published: (2025)
PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation
by: Gella, Blake, et al.
Published: (2026)
by: Gella, Blake, et al.
Published: (2026)
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
by: Meng, Dekang, et al.
Published: (2025)
by: Meng, Dekang, et al.
Published: (2025)
Reinforcement Learning-Guided Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)
by: Heidari, Marzi, et al.
Published: (2024)
Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)
by: Wang, Jinhuan, et al.
Published: (2023)
Subgraph Federated Learning for Local Generalization
by: Kim, Sungwon, et al.
Published: (2025)
by: Kim, Sungwon, et al.
Published: (2025)
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)
by: Lammers, Kathrin, et al.
Published: (2025)
Subgraph Federated Learning via Spectral Methods
by: Aliakbari, Javad, et al.
Published: (2025)
by: Aliakbari, Javad, et al.
Published: (2025)
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)
by: Heidari, Marzi, et al.
Published: (2024)
Curriculum Guided Personalized Subgraph Federated Learning
by: Kang, Minku, et al.
Published: (2025)
by: Kang, Minku, et al.
Published: (2025)
Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)
by: Qiu, Haiquan, et al.
Published: (2023)
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
by: Zheng, Ziyu, et al.
Published: (2026)
by: Zheng, Ziyu, et al.
Published: (2026)
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
by: Balaji, Vignesh, et al.
Published: (2025)
by: Balaji, Vignesh, et al.
Published: (2025)
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
by: Yan, Junchi, et al.
Published: (2024)
by: Yan, Junchi, et al.
Published: (2024)
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
by: Yan, Qi, et al.
Published: (2023)
by: Yan, Qi, et al.
Published: (2023)
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
by: Zhuo, Wei, et al.
Published: (2025)
by: Zhuo, Wei, et al.
Published: (2025)
AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
by: Zhang, Xuling, et al.
Published: (2025)
by: Zhang, Xuling, et al.
Published: (2025)
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes
by: Hu, Jiayu, et al.
Published: (2024)
by: Hu, Jiayu, et al.
Published: (2024)
On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach
by: Hattay, Anas, et al.
Published: (2026)
by: Hattay, Anas, et al.
Published: (2026)
FeDABoost: Fairness Aware Federated Learning with Adaptive Boosting
by: Arachchige, Tharuka Kasthuri, et al.
Published: (2025)
by: Arachchige, Tharuka Kasthuri, et al.
Published: (2025)
Unbiased Online Curvature Approximation for Regularized Graph Continual Learning
by: Yin, Jie, et al.
Published: (2025)
by: Yin, Jie, et al.
Published: (2025)
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
by: Hua, Wenyue, et al.
Published: (2023)
by: Hua, Wenyue, et al.
Published: (2023)
Fairness Aware Reward Optimization
by: Choi, Ching Lam, et al.
Published: (2026)
by: Choi, Ching Lam, et al.
Published: (2026)
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)
by: Zhang, Yuxiang, et al.
Published: (2026)
Similar Items
-
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
by: Alchihabi, Abdullah, et al.
Published: (2024) -
A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025) -
Zero-Shot Action Generalization with Limited Observations
by: Alchihabi, Abdullah, et al.
Published: (2025) -
Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2026) -
Diffusion Modulation via Environment Mechanism Modeling for Planning
by: Zhang, Hanping, et al.
Published: (2026)