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Introduction
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Graph neural networks have higher risk in discrimination:
• People linked in the network tend to have the same sensitive attributes.
• The message passing would lead linked nodes have similar predictions
An example of salary prediction. (Due to historical reasons, the male generally earns high salary in the dataset
Ground Truth: High
Low
Low
High
High
Ground Truth: Low
Prediction: Low Prediction: High
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