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Fairness in Graph Mining: A Survey
v1v2v3 (latest)

Fairness in Graph Mining: A Survey

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
21 April 2022
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fairness in Graph Mining: A Survey"

12 / 62 papers shown
Title
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness HintACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Paiheng Xu
Yuhang Zhou
Bang An
Wei Ai
Furong Huang
325
8
0
25 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation LearningNeural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNNAI4TS
418
243
0
11 Apr 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
373
24
0
03 Apr 2023
Graph Neural Network Surrogates of Fair Graph Filtering
Graph Neural Network Surrogates of Fair Graph Filtering
Emmanouil Krasanakis
Symeon Papadopoulos
158
1
0
14 Mar 2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
RELIANT: Fair Knowledge Distillation for Graph Neural NetworksSDM (SDM), 2023
Yushun Dong
Binchi Zhang
Yiling Yuan
Na Zou
Qi Wang
Jundong Li
329
15
0
03 Jan 2023
Fairness and Explainability: Bridging the Gap Towards Fair Model
  Explanations
Fairness and Explainability: Bridging the Gap Towards Fair Model ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2022
Yuying Zhao
Yu Wang
Hanyu Wang
FaML
174
19
0
07 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node AttributionAAAI Conference on Artificial Intelligence (AAAI), 2022
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
179
29
0
25 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation
  Learning
FairMILE: Towards an Efficient Framework for Fair Graph Representation LearningConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Yuntian He
Saket Gurukar
Srinivas Parthasarathy
FaML
416
6
0
17 Nov 2022
Balancing Utility and Fairness in Submodular Maximization (Technical
  Report)
Balancing Utility and Fairness in Submodular Maximization (Technical Report)International Conference on Extending Database Technology (EDBT), 2022
Yanhao Wang
Yuchen Li
Francesco Bonchi
Ying Wang
274
5
0
02 Nov 2022
On Structural Explanation of Bias in Graph Neural Networks
On Structural Explanation of Bias in Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2022
Yushun Dong
Song Wang
Yu Wang
Hanyu Wang
Jundong Li
158
34
0
24 Jun 2022
A Survey on Fairness for Machine Learning on Graphs
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
212
31
0
11 May 2022
Representation Bias in Data: A Survey on Identification and Resolution
  Techniques
Representation Bias in Data: A Survey on Identification and Resolution TechniquesACM Computing Surveys (ACM CSUR), 2022
N. Shahbazi
Yin Lin
Abolfazl Asudeh
H. V. Jagadish
248
109
0
22 Mar 2022
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