FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Wei, Yuan, Meng, Zhang, Zhao, Xie, Ruobing, Zhuang, Fuzhen, Wang, Deqing, Liu, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperbolic Diffusion Recommender Model
by: Yuan, Meng, et al.
Published: (2025)
by: Yuan, Meng, et al.
Published: (2025)
Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
by: Chen, Yiwen, et al.
Published: (2025)
by: Chen, Yiwen, et al.
Published: (2025)
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
by: Wu, Yiqing, et al.
Published: (2024)
by: Wu, Yiqing, et al.
Published: (2024)
Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Fairness-aware Multiobjective Evolutionary Learning
by: Zhang, Qingquan, et al.
Published: (2024)
by: Zhang, Qingquan, et al.
Published: (2024)
FairGU: Fairness-aware Graph Unlearning in Social Networks
by: Luo, Renqiang, et al.
Published: (2026)
by: Luo, Renqiang, et al.
Published: (2026)
Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob
by: Lu, Yun, et al.
Published: (2025)
by: Lu, Yun, et al.
Published: (2025)
FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents
by: Dou, Zheng, et al.
Published: (2025)
by: Dou, Zheng, et al.
Published: (2025)
Online and Customizable Fairness-aware Learning
by: Zhang, Wenbin
Published: (2020)
by: Zhang, Wenbin
Published: (2020)
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)
by: Sulaiman, Modar, et al.
Published: (2025)
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)
by: Lin, Yujie, et al.
Published: (2023)
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
Published: (2025)
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
by: Zhou, Songqi, et al.
Published: (2025)
by: Zhou, Songqi, et al.
Published: (2025)
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
by: Liu, Jiaxin, et al.
Published: (2025)
by: Liu, Jiaxin, 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)
Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation
by: Chen, Weixin, et al.
Published: (2026)
by: Chen, Weixin, et al.
Published: (2026)
Fair Graph Neural Network with Supervised Contrastive Regularization
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2024)
Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation
by: Lu, Yun, et al.
Published: (2026)
by: Lu, Yun, et al.
Published: (2026)
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
by: Wei, Shaopeng, et al.
Published: (2022)
by: Wei, Shaopeng, et al.
Published: (2022)
AFed: Algorithmic Fair Federated Learning
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
FnRGNN: Distribution-aware Fairness in Graph Neural Network
by: Park, Soyoung, et al.
Published: (2025)
by: Park, Soyoung, et al.
Published: (2025)
Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022)
by: Wang, Xi, et al.
Published: (2022)
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
by: Weerts, Hilde, et al.
Published: (2023)
by: Weerts, Hilde, et al.
Published: (2023)
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
by: Xu, Hangtong, et al.
Published: (2023)
by: Xu, Hangtong, et al.
Published: (2023)
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
by: Ghodsi, Siamak, et al.
Published: (2024)
by: Ghodsi, Siamak, et al.
Published: (2024)
Multi-Aspect Cross-modal Quantization for Generative Recommendation
by: Zhang, Fuwei, et al.
Published: (2025)
by: Zhang, Fuwei, et al.
Published: (2025)
FROG: Fair Removal on Graphs
by: Chen, Ziheng, et al.
Published: (2025)
by: Chen, Ziheng, et al.
Published: (2025)
Looking for Fairness in Recommender Systems
by: Logé, Cécile
Published: (2025)
by: Logé, Cécile
Published: (2025)
Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
by: Xia, Chongjun, et al.
Published: (2026)
by: Xia, Chongjun, et al.
Published: (2026)
Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)
Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)
by: Liu, Chuxun, et al.
Published: (2025)
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
by: Sun, Shengyin, et al.
Published: (2025)
by: Sun, Shengyin, et al.
Published: (2025)
Graph Fairness Learning under Distribution Shifts
by: Li, Yibo, et al.
Published: (2024)
by: Li, Yibo, et al.
Published: (2024)
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)
by: Lu, Xiaodong, et al.
Published: (2026)
Similar Items
-
Hyperbolic Diffusion Recommender Model
by: Yuan, Meng, et al.
Published: (2025) -
Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
by: Chen, Wei, et al.
Published: (2025) -
TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
by: Chen, Yiwen, et al.
Published: (2025) -
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
by: Chen, Wei, et al.
Published: (2025) -
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)