Author of the publication

Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information.

, and . IEEE Trans. Knowl. Data Eng., 35 (7): 7103-7117 (July 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

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features., , , and . CoRR, (2021)Learning fair models without sensitive attributes: A generative approach., , , and . Neurocomputing, (December 2023)Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network., , , , , and . CoRR, (2021)Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information., and . IEEE Trans. Knowl. Data Eng., 35 (7): 7103-7117 (July 2023)FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information., and . CoRR, (2020)Unsupervised Image Super-Resolution with an Indirect Supervised Path., , , , , , , and . CoRR, (2019)Unsupervised Image Super-Resolution with an Indirect Supervised Path., , , , , , , , , and . CVPR Workshops, page 1924-1933. Computer Vision Foundation / IEEE, (2020)Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features., , , and . WSDM, page 1433-1442. ACM, (2022)Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series., and . ICLR, OpenReview.net, (2022)Towards Prototype-Based Self-Explainable Graph Neural Network., and . CoRR, (2022)