Author of the publication

Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.

, , and . Neural Networks, (October 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Meta-Learning Approach for Training Explainable Graph Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 4647-4655 (April 2024)Missing data imputation with adversarially-trained graph convolutional networks., , and . Neural Networks, (2020)A Meta-Learning Approach for Training Explainable Graph Neural Networks., , and . CoRR, (2021)Distributed Graph Convolutional Networks., , and . CoRR, (2020)Missing Data Imputation with Adversarially-trained Graph Convolutional Networks., , and . CoRR, (2019)Following the Human Thread in Social Navigation., , , , , , and . CoRR, (2024)Efficient Data Augmentation Using Graph Imputation Neural Networks., , , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 57-66. Springer, (2017)Distributed Training of Graph Convolutional Networks., , and . IEEE Trans. Signal Inf. Process. over Networks, (2021)Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning., , , and . CoRR, (2021)Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence., , , , , , , , , and . Cogn. Comput., 16 (1): 45-74 (January 2024)