14 citations · 33 across the 8 of their papers we have counts for
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cs.LG2023
Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge
Haowen Wang, Xinyan Ye, Yangze Zhou +3
Uplift modeling is a fundamental component of marketing effect modeling, which is commonly employed to evaluate the effects of treatments on outcomes. Through uplift modeling, we c…
cs.SE2023★ 14 cited
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
Zichong Wang, Yang Zhou, David Lo +1
The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern. Addressing these fai…
cs.LG2023★ 2 cited
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jincheng Zhou, Yucheng Zhang, Jianfei Gao +2
The task of fully inductive link prediction in knowledge graphs has gained significant attention, with various graph neural networks being proposed to address it. This task present…