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Darts_RNN

recurrent neural networks in Python Darts

Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

DDP-GCN

STGCN

The PyTorch implementation of STGCN.

time_series_bible

comprehensive collection of powerful techniques for time series data visualization, analysis and modeling

TCN

Sequence modeling benchmarks and temporal convolutional networks

D-TDNN

PyTorch implementation of Densely Connected Time Delay Neural Network

spatio-temporal-brain

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

tcn

Temporal Convolutional Network for Sequence Modelling

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Awesome-Deep-Learning-Based-Time-Series-Forecasting

StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

MetaST

MetaST for WWW 2019

Pyraformer

DEPTS

AdaptiveConformalPredictionsTimeSeries

ASTGCN-2019-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

DILATE

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

STAG-GCN

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

AGSTN

Official implementation of AGSTN model(ICDM2020)

ST-GRAT

The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

mig-graph

COVID-19-USSTN

Generate a spatio-temporal data set of COVID-19 targets and related features for the network of US counties.

STGCN

implementation of STGCN for traffic prediction in IJCAI2018

STGNN-for-Covid-in-Korea

Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.

Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.