GestaltCogTeam / GinAR
Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
☆93Updated 3 weeks ago
Alternatives and similar repositories for GinAR:
Users that are interested in GinAR are comparing it to the libraries listed below
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆80Updated last year
- Dynamic frequency domain graph convolution for traffic prediction☆70Updated 7 months ago
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆68Updated 7 months ago
- ☆63Updated 8 months ago
- ☆63Updated last year
- ☆10Updated 8 months ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆279Updated 3 weeks ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆243Updated last year
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆408Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆167Updated last year
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,123Updated 2 months ago
- ☆10Updated last year
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆179Updated this week
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆84Updated 2 weeks ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 8 months ago
- ☆44Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆230Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆162Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆157Updated 2 years ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆109Updated 2 years ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆195Updated last year
- ☆47Updated last month
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated 11 months ago
- LCDFormer☆10Updated last year
- ☆20Updated 9 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆57Updated 5 months ago
- Official implementation for "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equat…☆14Updated 2 months ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆87Updated 5 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆24Updated 7 months ago