MengzhangLI / STFGNN
Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
☆218Updated 4 years ago
Alternatives and similar repositories for STFGNN:
Users that are interested in STFGNN are comparing it to the libraries listed below
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆290Updated 3 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆202Updated 3 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆126Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆220Updated 5 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆89Updated 3 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆91Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆373Updated 11 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆378Updated 5 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆178Updated last year
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆135Updated 4 years ago
- ☆76Updated last year
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago
- ☆48Updated 5 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆168Updated 2 months ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆161Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆67Updated 4 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆147Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆153Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆226Updated last year
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆134Updated 2 months ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆107Updated 4 years ago
- The pytorch code of DGCN(TITS)☆52Updated 2 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆286Updated last year
- ☆62Updated 3 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆67Updated 2 years ago
- Attentive Traffic Flow Machines☆58Updated 4 years ago
- Code snippets of ST-ResNet by PyTorch☆62Updated 5 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆53Updated 2 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆432Updated 2 years ago