GRIT, a graph transformer using GraphSAGE and temporal attention, predicts deep ice layer thickness from shallow layers with RMSE 3.06 m, slightly better than prior GNN baselines.
Learning spatio-temporal patterns of polar ice layers with physics-informed graph neural network,
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GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction
GRIT, a graph transformer using GraphSAGE and temporal attention, predicts deep ice layer thickness from shallow layers with RMSE 3.06 m, slightly better than prior GNN baselines.