GestaltCogTeam / .github
☆10Updated 8 months ago
Alternatives and similar repositories for .github:
Users that are interested in .github are comparing it to the libraries listed below
- ☆63Updated last year
- ☆63Updated 8 months ago
- Code for our Information Fusion paper MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction☆68Updated 7 months ago
- Dynamic frequency domain graph convolution for traffic prediction☆70Updated 7 months ago
- Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction☆80Updated last year
- Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing☆93Updated 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 CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆279Updated last month
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆408Updated last year
- A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.☆1,130Updated 2 months ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆232Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆167Updated last year
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆195Updated last year
- This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.☆26Updated 9 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆157Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆212Updated 3 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆57Updated 5 months ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆87Updated last month
- ☆20Updated 10 months ago
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆13Updated 2 weeks ago
- In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.☆16Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆66Updated 8 months ago
- Code of H-STFormer with PyTorch2.0.☆11Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆22Updated 11 months ago
- A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction☆14Updated 2 years ago
- ☆76Updated last year
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆113Updated last year
- ☆24Updated last year