A multilayer GNN fusing spatial, temporal, and co-occurrence edge types reports 30-day F1 of 0.8935 on substation maintenance prediction and eight separable risk clusters from Oklahoma Gas & Electric incident data.
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Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
A multilayer GNN fusing spatial, temporal, and co-occurrence edge types reports 30-day F1 of 0.8935 on substation maintenance prediction and eight separable risk clusters from Oklahoma Gas & Electric incident data.