Stars
Code for paper: STAMImputer: Spatio-Temporal Attention Mixture of Experts Imputer for Sparse Traffic Data.
A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.
Official implementation for the IJCAI'24 paper: SDformer
[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
A collection of research on spatio-temporal data mining
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 …
[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)
bigscity / STEVE_CODE
Forked from ShotDownDiane/STEVE_CODEOfficial repository of paper "Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction".
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
An offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 2025)
Paper list in traffic prediction field
[Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Code implementation of the paper "WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting" (ICML 2025)
A drug sales forecast based on gru and hypergraph
[Under Review] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." This work is developed by the Lab of Professor Weiwei Lin (linw…