LiuAoyu1998 / STIDGCNLinks
Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
☆77Updated 5 months ago
Alternatives and similar repositories for STIDGCN
Users that are interested in STIDGCN are comparing it to the libraries listed below
Sorting:
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆101Updated 7 months ago
- ☆27Updated last year
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆49Updated 2 years ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆20Updated last month
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated last month
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆203Updated last year
- ☆66Updated 3 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 3 months ago
- ☆39Updated 2 years ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆185Updated 3 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆87Updated last month
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆130Updated last year
- ☆43Updated 3 years ago
- ☆73Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆97Updated 8 months ago
- ☆10Updated 2 years ago
- ☆10Updated 10 months ago
- Spatial-Temporal Graph ODE Neural Network☆119Updated 3 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆27Updated 5 months ago
- The repo is the official implementation for the paper: [MGCN: Mamba-Integrated Spatiotemporal Graph Convolutional Network for Long-Term T…☆20Updated 2 months ago
- ☆19Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆65Updated 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
- Implementation of Graph Muti-Attention Network with PyTorch☆170Updated last year
- ☆11Updated 7 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆63Updated 3 months ago
- A pytorch re-implementation of STFGNN☆29Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆191Updated 10 months ago
- The code of AdpSTGCN: Adaptive Spatial Temporal Graph Convolutional Network for Traffic Forecasting☆14Updated last year
- ☆77Updated last year