Feb. 6, 2024, 5:43 a.m. | Anna Varbella Kenza Amara Blazhe Gjorgiev Giovanni Sansavini

cs.LG updates on arXiv.org arxiv.org

Public Graph Neural Networks (GNN) benchmark datasets facilitate the use of GNN and enhance GNN applicability to diverse disciplines. The community currently lacks public datasets of electrical power grids for GNN applications. Indeed, GNNs can potentially capture complex power grid phenomena over alternative machine learning techniques. Power grids are complex engineered networks that are naturally amenable to graph representations. Therefore, GNN have the potential for capturing the behavior of power grids over alternative machine learning techniques. To this aim, we …

applications benchmark community cs.lg dataset datasets diverse gnn gnns graph graph neural networks grid indeed machine machine learning machine learning techniques networks neural networks power public

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