Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation
Abstract: Graph neural networks (GNNs) have shown strong performance on graph-structured data but may inherit bias from training data, leading to discriminatory predictions based on sensitive ...
Abstract: Distribution shifts from external events and new entities can significantly compromise spatial-temporal prediction accuracy, potentially leading to severe outcomes like traffic accidents.
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