This is an implementation of Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting which has been accepted by IJCAI 2018.
mxnet >= 1.3.0
dataset comes from PEMS, we sampled a little from Bay area. You can get sampled data from "data" folder.
The file "distance.csv" contains the distance between two stations, which we linked together.
The file "graph_signal_data_small.txt" contains the time series of each station, it's in a json format, you can use the function "data_preprocessing" in main.py to read it.