A dual GNN + XGBoost ensemble predicts building-level wildfire damage on the 2025 Eaton Fire (84–88% accuracy) and attributes the outcome mostly to neighborhood contagion, with eaves as the key structural weak point.
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GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface
A dual GNN + XGBoost ensemble predicts building-level wildfire damage on the 2025 Eaton Fire (84–88% accuracy) and attributes the outcome mostly to neighborhood contagion, with eaves as the key structural weak point.