Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic

This is the original mobile cellular traffic dataset of MP-GAT in the following paper: Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic (CIKM 2021). NOTE: All the cellular record is anonymized by hashing, then aggregate the quantity as our dataset.

Cellular Traffic Quantity of Road Intersections in Hsinchu City, Taiwan

Model Architecture

Dataset Providing

1.Road Intersection distance and the Corresponding Adjacent Matrix Google Drive

2.Cellular Traffic Quantity of multiple Road Intersections

The cellular traffic data files for Hsinchu City, Taiwan, i.e., cellular_traffic_202001_202006.csv, are available at Google Drive. Here is an example:

	Intersection_0	Intersection_1	Intersection_2	Intersection_n
2020/01/01 00:00:00	795.0	124.0	175.0	...
2020/01/01 00:05:00	750.0	141.0	159.0	...
2020/01/01 00:10:00	538.0	73.0	178.0	...
...	...	...	...	...

To generate train/test/val dataset as {train,val,test}.npz, please look a nice reference script from DCRNN.

The rule of Mean Average 5/20 and Daily cellular traffic, please refer to our paper in section 3: PRELIMINARIES.