tsinghua-fib-lab / Traffic-BenchmarkLinks
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023
☆299Updated 4 years ago
Alternatives and similar repositories for Traffic-Benchmark
Users that are interested in Traffic-Benchmark are comparing it to the libraries listed below
Sorting:
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆221Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆394Updated 5 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆230Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆137Updated 2 months ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆289Updated last year
- Adaptive Graph Convolutional Recurrent Network☆391Updated last year
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆139Updated 5 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆167Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆143Updated 4 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆244Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆232Updated 5 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆180Updated 5 months ago
- ☆76Updated last year
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆471Updated 3 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆128Updated 11 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆162Updated last year
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆244Updated last year
- A collection of research on spatio-temporal data mining☆151Updated 4 months ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆491Updated 10 months ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆95Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆659Updated 3 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆260Updated 2 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆166Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆205Updated last year
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆109Updated 4 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆93Updated 4 years ago
- ☆66Updated 3 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆73Updated 2 years ago