liyaguang / DCRNNLinks
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
☆1,286Updated 5 months ago
Alternatives and similar repositories for DCRNN
Users that are interested in DCRNN are comparing it to the libraries listed below
Sorting:
- graph wavenet☆690Updated 3 years ago
- [IJCAI'18] Spatio-Temporal Graph Convolutional Networks☆1,081Updated last year
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆491Updated 10 months ago
- ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch☆411Updated 5 years ago
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method☆1,616Updated 2 months ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆471Updated 3 years ago
- 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch☆354Updated 6 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆659Updated 3 years ago
- Traffic Graph Convolutional Recurrent Neural Network☆401Updated 5 years ago
- The PyTorch implementation of STGCN.☆573Updated 2 months 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 Graph Neural Network for Traffic Forecasting.☆1,141Updated 9 months ago
- Adaptive Graph Convolutional Recurrent Network☆391Updated last year
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆232Updated 5 years ago
- ☆856Updated last year
- 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
- Code for our Spatiotemporal Dynamic Network☆291Updated 6 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆205Updated last year
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆549Updated last year
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆299Updated 4 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆527Updated 5 years ago
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆244Updated last year
- implementation of STGCN for traffic prediction in IJCAI2018☆115Updated 5 years ago
- 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
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆488Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆143Updated 4 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,812Updated 2 months ago
- Some TrafficFlowForecasting Solutions(交通流量预测解决方案)☆359Updated 4 years ago
- This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (…☆231Updated 4 years ago