A Novel Framework for Spatial–Temporal Traffic Prediction

Official version of MIFGCN published

Official version of MIFGCN published

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Implementation of Diffusion Convolutional Recurrent Neural Network

基于统计学的时间序列预测(AR,ARM).

This repo for time series forecasting using ARIMA and SARIMA models with Python 3.x

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

a model for traffic flow forecast

Adaptive Graph Convolutional Recurrent Network

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

PyTorch implementation of Spatial-Temporal Synchronous Graph Convolutional Networks

graph wavenet

graph wavenet

[This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA, VAR, SVR, FNN, FC-LSTM)

The PyTorch implementation of STGCN.

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

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