Basic knowledge required for time series modeling
- Are Transformers Effective for Time Series Forecasting? AAAI'23
- REVERSIBLE INSTANCE NORMALIZATION FOR ACCURATE TIME-SERIES FORECASTING AGAINST DISTRIBUTION SHIFT ICLR'22
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR'23
- Semi-Supervised Classification with Graph Convolutional Networks ICLR'17
- Inductive Representation Learning on Large Graphs NIPS'17
- Graph Attention Networks ICLR'18
- Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting KDD'22
- SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting IoTJ'24
- Spatio-temporal meta-graph learning for traffic forecasting AAAI'23