Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting

Neural Information Processing Systems 

Although transformer-based methods have achieved great success in multi-scale temporal pattern interaction modeling, two key challenges limit their further development: (1) Individual time points contain less semantic information, and leveraging attention to model pair-wise interactions may cause the information utilization bottleneck.

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