GestaltCogTeam / STEPLinks
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
☆423Updated last year
Alternatives and similar repositories for STEP
Users that are interested in STEP are comparing it to the libraries listed below
Sorting:
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆288Updated 7 months ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆258Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆203Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆266Updated 2 years ago
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆94Updated 7 months ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆237Updated 5 months ago
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆81Updated last year
- Adaptive Graph Convolutional Recurrent Network☆405Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆239Updated 4 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆191Updated 10 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆130Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆185Updated 3 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆170Updated last year
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆239Updated 2 years ago
- Dynamic frequency domain graph convolution for traffic prediction☆68Updated last month
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆77Updated 5 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆97Updated last week
- ☆27Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆302Updated last year
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆67Updated last year
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆231Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆148Updated 2 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆314Updated 4 years ago
- ☆77Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆194Updated last year
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆87Updated last month
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆103Updated 7 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆425Updated 5 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated 2 years ago