Abstract: Quantifying the uncertainties in the distribution system is critical for economic load dispatch yet of great challenge. To address this issue, a graph-aware deep learning network (GADLN) for ...
The VSTACK and HSTACK functions enable efficient data combination from multiple sheets while maintaining dynamic ...
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 ...
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