Adversarial Learning for Debiasing Knowledge Graph Embeddings

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Adversarial Learning for Debiasing Knowledge Graph Embeddings

29 June 2020

Federico Pirovano

Yash Raj Shrestha

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Papers citing "Adversarial Learning for Debiasing Knowledge Graph Embeddings"

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Title
Social Biases in Knowledge Representations of Wikidata separates Global North from Global South Paramita Das Sai Keerthana Karnam Aditya Soni Animesh Mukherjee 335 0 0 05 May 2025
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 141 0 0 02 Nov 2023
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation Jiazheng Jing Yinan Zhang Xin Zhou Zhiqi Shen AI4TS 85 7 0 17 Aug 2023
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 97 9 0 08 Jul 2023
Diversity matters: Robustness of bias measurements in Wikidata Paramita Das Sai Keerthana Karnam Anirban Panda Bhanu Prakash Reddy Guda Soumya Sarkar Animesh Mukherjee 44 5 0 27 Feb 2023
Graph Learning with Localized Neighborhood Fairness April Chen Ryan Rossi Nedim Lipka Jane Hoffswell G. Chan Shunan Guo Eunyee Koh Sungchul Kim Nesreen K. Ahmed FaML 61 6 0 22 Dec 2022
Mitigating Relational Bias on Knowledge Graphs Yu-Neng Chuang Kwei-Herng Lai Ruixiang Tang Mengnan Du Chia-Yuan Chang Na Zou Helen Zhou FaML 84 5 0 26 Nov 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Angelie Kraft Ricardo Usbeck KELM 79 9 0 07 Oct 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 70 1 0 08 Sep 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 196 47 0 26 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 214 115 0 21 Apr 2022
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs Stephen Bonner Ufuk Kirik Ola Engkvist Jian Tang Ian P Barrett 73 22 0 13 Dec 2021
Towards Automatic Bias Detection in Knowledge Graphs Daphna Keidar Mian Zhong Ce Zhang Yash Raj Shrestha B. Paudel 102 11 0 19 Sep 2021
Personalized Counterfactual Fairness in Recommendation Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang FaML OffRL 108 146 0 20 May 2021
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks B. Paudel Abraham Bernstein MLAU 62 14 0 18 Feb 2021
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Yash Raj Shrestha Vaibhav Krishna G. Krogh 130 170 0 02 Nov 2020