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Dynamic graph embedding

This repo hosts the code for our paper

Wang, Hongjian, and Zhenhui Li. "Region Representation Learning via Mobility Flow." In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 237-246. ACM, 2017.

Data description

Various types of urban data are used in this paper. Here is a list of data and the corresponding source.

  1. Crime data
  2. Taxi flow dota
  3. POI data
  4. Demographics data
  5. House price data crawled from Zillow.com

Here is a sample dataset contains geographic boundary information (i.e. shapefiles under folder ChiCA_GPS). Note that the sample data is from another related projects, you don't need everything within the sample data.

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  • Java 55.9%
  • Python 43.2%
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