TSBasic

Basic knowledge required for time series modeling

Paper List

Forecasting

1. Are Transformers Effective for Time Series Forecasting? AAAI'23
2. REVERSIBLE INSTANCE NORMALIZATION FOR ACCURATE TIME-SERIES FORECASTING AGAINST DISTRIBUTION SHIFT ICLR'22
3. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR'23

Graph Neural Network

1. Semi-Supervised Classification with Graph Convolutional Networks ICLR'17
2. Inductive Representation Learning on Large Graphs NIPS'17
3. Graph Attention Networks ICLR'18

Spatial Temporal Modeling

1. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting KDD'22
2. SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting IoTJ'24
3. Spatio-temporal meta-graph learning for traffic forecasting AAAI'23