Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

9 March 2024

Papers citing "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark"

5 / 5 papers shown

Title
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 28 1 0 13 Sep 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 36 2 0 19 Dec 2023
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 38 78 0 18 Feb 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 311 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018