liyaguang / DCRNNLinks
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
☆1,336Updated 10 months ago
Alternatives and similar repositories for DCRNN
Users that are interested in DCRNN are comparing it to the libraries listed below
Sorting:
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,139Updated last year
- graph wavenet☆729Updated 3 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆523Updated last year
- Traffic Graph Convolutional Recurrent Neural Network☆407Updated 5 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆500Updated 3 years ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆420Updated 6 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆695Updated 4 years ago
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method☆1,676Updated last month
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,167Updated last year
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆357Updated 6 years ago
- The PyTorch implementation of STGCN.☆616Updated 6 months ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆419Updated 5 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆241Updated 6 years ago
- Code for our Spatiotemporal Dynamic Network☆293Updated 6 years ago
- Adaptive Graph Convolutional Recurrent Network☆401Updated last year
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆301Updated last year
- ☆887Updated 2 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆211Updated 2 years ago
- This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (…☆236Updated 5 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆312Updated 4 years ago
- A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081☆111Updated 4 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆247Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆221Updated 4 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆526Updated 5 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆272Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,878Updated last month
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆71Updated 4 years ago
- implementation of STGCN for traffic prediction in IJCAI2018☆116Updated 6 years ago
- 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
- Machine learning for transportation data imputation and prediction.☆40Updated 5 years ago