ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.10080
  4. Cited By
No prejudice! Fair Federated Graph Neural Networks for Personalized
  Recommendation

No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

10 December 2023
Nimesh Agrawal
Anuj Kumar Sirohi
Jayadeva
Sandeep Kumar
ArXivPDFHTML

Papers citing "No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation"

9 / 9 papers shown
Title
Fairness in Graph Learning Augmented with Machine Learning: A Survey
Fairness in Graph Learning Augmented with Machine Learning: A Survey
Renqiang Luo
Ziqi Xu
X. Zhang
Qing Qing
Huafei Huang
Enyan Dai
Z. Wang
Bo Yang
FaML
52
0
0
30 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Xunkai Li
Y. X. Zhu
Daohan Su
Bowen Fan
R. Li
Guoren Wang
Chenghu Zhou
FedML
33
0
0
14 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Songwei Zhao
Yuan Jiang
Zijing Zhang
Yang Yu
Hechang Chen
19
0
0
09 Apr 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
48
0
0
23 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
Xuqi Mao
Zhenying He
Xiaoyang Sean Wang
33
1
0
22 Feb 2025
BGTplanner: Maximizing Training Accuracy for Differentially Private
  Federated Recommenders via Strategic Privacy Budget Allocation
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation
Xianzhi Zhang
Yipeng Zhou
Miao Hu
Di Wu
Pengshan Liao
Mohsen Guizani
Michael Sheng
62
0
0
04 Dec 2024
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender
  Fairness in Federated Recommendation
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Siqing Zhang
Yuchen Ding
Wei Tang
Wei Sun
Yong Liao
P. Zhou
54
0
0
29 Nov 2024
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Anuj Kumar Sirohi
Subhanu Halder
Kabir Kumar
Sandeep Kumar
OOD
AAML
27
0
0
27 Sep 2024
Towards Fairness in Provably Communication-Efficient Federated
  Recommender Systems
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
Kirandeep Kaur
Sujit Gujar
Shweta Jain
FedML
46
0
0
03 May 2024
1