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2206.12104
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On Structural Explanation of Bias in Graph Neural Networks
24 June 2022
Yushun Dong
Song Wang
Yu Wang
Hanyu Wang
Jundong Li
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Papers citing
"On Structural Explanation of Bias in Graph Neural Networks"
14 / 14 papers shown
Title
KGMark: A Diffusion Watermark for Knowledge Graphs
H. Peng
Haolang Lu
Yuanlong Yu
Weiye Fu
Kun Wang
Guoshun Nan
24
0
0
29 May 2025
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
Barbara Hoffmann
Jana Vatter
R. Mayer
68
0
0
29 Oct 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang
Peng Wang
Tong Zhou
Yushun Dong
Zhen Tan
Jundong Li
CoGe
144
9
0
02 Jul 2024
On Explaining Unfairness: An Overview
Christos Fragkathoulas
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
XAI
FaML
74
4
0
16 Feb 2024
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
81
3
0
20 Oct 2023
Fair Few-shot Learning with Auxiliary Sets
Song Wang
Jing Ma
Lu Cheng
Jundong Li
73
2
0
28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
79
15
0
26 Aug 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
Paiheng Xu
Yuhang Zhou
Bang An
Wei Ai
Furong Huang
138
6
0
25 May 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
57
14
0
18 Jan 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Yushun Dong
Binchi Zhang
Yiling Yuan
Na Zou
Qi Wang
Jundong Li
144
13
0
03 Jan 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
107
22
0
25 Nov 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Yu Wang
Yuying Zhao
Yushun Dong
Huiyuan Chen
Jundong Li
Hanyu Wang
81
87
0
07 Jun 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Jiliang Tang
Suhang Wang
104
144
0
18 Apr 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
107
85
0
15 Feb 2022
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