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FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
The F3 are expected to statistically neutralize the sensitive bias in node representations and provide additional nonsensitive information.
Data-centric Graph Learning: A Survey
Recently, instead of designing more complex neural architectures as model-centric approaches, the attention of AI community has shifted to data-centric ones, which focuses on better processing data to strengthen the ability of neural models.
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