Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing

In three linesTeger, a structured uncertainty module, improves spatio-temporal time-series forecasting by mitigating over-squashing through a Forman curvature-aware graph rewiring mechanism. Integrated into a low-rank-plus-diagonal covariance head, Teger is backbone-agnostic and demonstrates consistent CRPS improvements across LSTM, Transformer, and xLSTM architectures.

Summary generated by Claude — human-verified