Stars
This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.
Code for "On the Integration of Spatial-Temporal Knowlegde: A Lightweight Approach to Atmospheric Time Series Forecasting"
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
Dy 8000 namic frequency domain graph convolution for traffic prediction
The main code of our proposed multi-resolution interactive transformer
Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
发布23年计算机保研夏令营和预推免通知，往年的保研经验帖；需要带保研或计算机保研资料联系qq：1585601434