png-0's starred repositories
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
time_series_bible
comprehensive collection of powerful techniques for time series data visualization, analysis and modeling
spatio-temporal-brain
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
ASTGCN-2019-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
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
COVID-19-USSTN
Generate a spatio-temporal data set of COVID-19 targets and related features for the network of US counties.
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.