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 ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Abstract: Under the “carbon emission peak and carbon neutrality” goals, traditional distribution networks are evolving into modern new type distribution systems challenged by stochastic renewables, ...
A civil society alliance has alleged that a "conspiracy" is being staged "under military mediation" to restore monarchy in Nepal, even as political parleys for a transitional government continued ...
This study provides valuable insights into human valve development by integrating snRNA-seq and spatial transcriptomics to characterize cell populations and regulatory programs in the embryonic and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results