patch-based

PMDformer introduces patch-mean decoupling and specialized attention mechanisms to improve shape similarity modeling in long-term time series forecasting, outperforming existing methods on multiple benchmarks.

PatchSTG introduces a patch-based spatiotemporal graph Transformer for traffic forecasting on irregular sensor networks, achieving near-linear complexity while maintaining competitive performance.