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.
Recurrent graph convolutional networks for spatiotem- poral prediction of snow accumulation using airborne radar,
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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.