AI RESEARCH
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
arXiv CS.AI
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ArXi:2603.13702v1 Announce Type: cross Time series forecasting has attracted significant attention in the field of AI. Previous works have revealed that the Channel-Independent (CI) strategy improves forecasting performance by modeling each channel individually, but it often suffers from poor generalization and overlooks meaningful inter-channel interactions. Conversely, Channel-Dependent (CD) strategies aggregate all channels, which may