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A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

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A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

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  • A channel strategy refers to the approach employed to process, integrate, or utilize information from multiple input channels.
  • Channel Independence (CI): The CI strategy treats each channel independently, without considering any potential interactions or correlations among channels. Each channel is processed as a separate input, and no shared information or dependencies are utilized.
  • Channel Dependence (CD): The CD strategy assumes that all channels in a multivariate time series are inherently correlated and interdependent, treating them as a unified entity during the forecasting process.
  • Channel Partiality (CP): The CP strategy strikes a balance between CI and CD, allowing each channel to retain a degree of independence while simultaneously interacting with other related channels. This approach emphasizes a hybrid state where channels selectively interact and exhibit partial correlations.
Strategy Mechanism Asym. Lag. Pol. Gw. Dyn. Ms. Method Paradigm Venue Year Code
CI - - - - - - - PatchTST Specific ICLR 2023 Link
CI - - - - - - - CycleNet Specific NIPS 2024 Link
CI - - - - - - - DLinear Specific AAAI 2023 Link
CI - - - - - - - Timer Foundation ICML 2024 Link
CI - - - - - - - Chronos Foundation ICML 2024 Link
CI - - - - - - - LLM4TS Foundation NIPS 2023 Link
CI - - - - - - - Time-LLM Foundation ICLR 2024 Link
CI - - - - - - - RevIN Plugin ICLR 2021 Link
CD CNN-based - - - - - Informer Specific AAAI 2021 Link
CD CNN-based - - - - - Autoformer Specific NIPS 2021 Link
CD CNN-based - - - - - FEDformer Specific ICML 2022 Link
CD CNN-based - - - - - TimesNet Specific ICLR 2023 Link
CD MLP-based - - - - - TSMixer Specific KDD 2023 Link
CD MLP-based - - - - - TTM Foundation NIPS 2024 Link
CD Transformer-based - - - - iTransformer Specific ICLR 2024 Link
CD Transformer-based - - - - Crossformer Specific ICLR 2023 Link
CD Transformer-based - - - - VCformer Specific IJCAI 2024 Link
CD Transformer-based - - - MOIRAI Foundation ICML 2024 Link
CD Transformer-based - - - - UniTS Foundation NIPS 2024 Link
CD GNN-based - - - - - GTS Specific ICLR 2021 Link
CD GNN-based - - - - MSGNet Specific AAAI 2024 Link
CD GNN-based - - - - - FourierGNN Specific NIPS 2023 Link
CD GNN-based - - - - - FC-STGNN Specific AAAI 2024 Link
CD GNN-based - - - - TPGNN Specific NIPS 2022 Link
CD GNN-based - - - ESG Specific KDD 2022 Link
CD GNN-based - - - EnhanceNet Plugin ICDE 2021 Link
CD Others - - - - SOFTS Specific NIPS 2024 Link
CD Others - - - - C-LoRA Plugin CIKM 2024 Link
CP CNN-based - - - - - ModernTCN Specific ICLR 2024 Link
CP Transformer-based - - - - DUET Specific KDD 2025 Link
CP Transformer-based - - - - MCformer Specific IITJ* 2024 -
CP Transformer-based - - - DGCformer Specific arXiv 2024 -
CP Transformer-based - - - - - CM Plugin NIPS 2024 -
CP GNN-based - - - - MTGNN Specific KDD 2020 Link
CP GNN-based - - - - CrossGNN Specific NIPS 2023 Link
CP GNN-based - - - - WaveForM Specific AAAI 2023 Link
CP GNN-based - - - - - MTSF-DG Specific VLDB 2023 Link
CP GNN-based - - ReMo Specific IJCAI 2023 -
CP GNN-based - - - Ada-MSHyper Specific NIPS 2024 Link
CP Others - - - LIFT Plugin ICLR 2024 Link
CP Others - - - - CCM Plugin NIPS 2024 Link

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