SYLan2019 / DSTAGNNView external linksLinks
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
☆190Aug 1, 2022Updated 3 years ago
Alternatives and similar repositories for DSTAGNN
Users that are interested in DSTAGNN are comparing it to the libraries listed below
Sorting:
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆268Oct 16, 2023Updated 2 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆28Aug 25, 2023Updated 2 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆196Dec 12, 2024Updated last year
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆226Jan 26, 2021Updated 5 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆322May 24, 2021Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆442Feb 4, 2020Updated 6 years ago
- ☆74Nov 19, 2022Updated 3 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆280Oct 13, 2023Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆255Jul 1, 2021Updated 4 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆141Dec 23, 2023Updated 2 years ago
- ☆49May 24, 2022Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆719Jul 13, 2021Updated 4 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆74Sep 4, 2024Updated last year
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆214Nov 15, 2025Updated 2 months ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆429Dec 10, 2023Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆417Feb 23, 2024Updated last year
- Implementation of Graph Muti-Attention Network with PyTorch☆175Nov 2, 2023Updated 2 years ago
- ☆67Jan 23, 2022Updated 4 years ago
- Spatial-Temporal Graph ODE Neural Network☆125Jan 18, 2022Updated 4 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆93Sep 2, 2025Updated 5 months ago
- graph wavenet☆779Mar 14, 2022Updated 3 years ago
- ☆42Nov 2, 2021Updated 4 years ago
- ☆40Mar 28, 2022Updated 3 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆109Mar 18, 2025Updated 10 months ago
- ☆14Aug 18, 2021Updated 4 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆522Apr 12, 2022Updated 3 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆165Sep 14, 2024Updated last year
- A pytorch re-implementation of STFGNN☆30Mar 8, 2023Updated 2 years ago
- ☆920Jul 6, 2023Updated 2 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆540Jul 17, 2024Updated last year
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,192Aug 7, 2024Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆160Mar 18, 2025Updated 10 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Feb 11, 2023Updated 3 years ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆12Jun 15, 2023Updated 2 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆42Jan 27, 2023Updated 3 years ago
- This is an implementation of a traffic speed predicition model.☆10Oct 27, 2022Updated 3 years ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆41Sep 2, 2025Updated 5 months ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆74Oct 27, 2020Updated 5 years ago