nuist-cs / MS-STGNNLinks
☆12Updated last year
Alternatives and similar repositories for MS-STGNN
Users that are interested in MS-STGNN are comparing it to the libraries listed below
Sorting:
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- ☆40Updated 2 years ago
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆20Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago
- The official implementation of SDGL☆37Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 7 months ago
- ☆124Updated last year
- ☆14Updated 3 years ago
- KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…☆28Updated 5 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆106Updated 8 months ago
- ☆27Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆99Updated last month
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆189Updated 3 years ago
- ☆28Updated last year
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆31Updated last year
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆15Updated last year
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆36Updated 2 years ago
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆20Updated 7 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆69Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆203Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆211Updated last month
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated 3 months ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆22Updated last year
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆28Updated 7 months ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆151Updated 2 years ago
- PyTorch implementation of CaST, NeurIPS-23.☆39Updated 6 months ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆49Updated 7 months ago
- ☆67Updated 3 years ago