Abstract: We investigate the utility of graph neural networks (GNNs) as proxies of power grid operational decision-making algorithms (optimal power flow (OPF) and security-constrained unit commitment ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Have you ever wondered if a simple note-taking app could transform the way you work, create, and stay organized? In 2025, Apple Notes has shattered its humble beginnings, evolving into a powerhouse of ...
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