multivariate time series forecasting

ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting AAAI 2026 Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline AAAI 2026 SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting AAAI 2026 Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global–Local Representation Synergy in Multivariate Time Series Forecasting AAAI 2026 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025 FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025 FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting IJCAI 2025 HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025 Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting ICML 2025 MSCGrapher: Learning Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting UAI 2025 Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting ACML 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024 SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers IJCAI 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NeurIPS 2024 VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting IJCAI 2024 Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting ICLR 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NeurIPS 2023 Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract) AAAI 2023 Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting IJCAI 2023 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022