25 citations · 64 across the 6 of their papers we have counts for
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cs.LG2023★ 2 cited
Fair Attribute Completion on Graph with Missing Attributes
Dongliang Guo, Zhixuan Chu, Sheng Li
Tackling unfairness in graph learning models is a challenging task, as the unfairness issues on graphs involve both attributes and topological structures. Existing work on fair gra…
cs.LG2021★ 25 cited
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Treatment effect estimation from observational data is a critical research topic across many domains. The foremost challenge in treatment effect estimation is how to capture hidden…
cs.LG2019
Learning Robust Data Representation: A Knowledge Flow Perspective
Zhengming Ding, Ming Shao, Handong Zhao +1
It is always demanding to learn robust visual representation for various learning problems; however, this learning and maintenance process usually suffers from noise, incompletenes…