Global Graph Dataset

The Global Urban Graph dataset provides pre-computed urban graphs that can be converted into NetworkX, igraph, PyG, and DGL graph formats.

Each .zip folder contains the node and edge information required to construct a full-scale city graph. This consists of graph nodes and their features (plots, buildings, streets, and intersections) and connections between nodes.

To support robustness to diverse urban applications, we do not instantiate graph edges directly. Instead, users can specify how they wish to construct graph edges (e.g. by k-nearest neighbour or Euclidean distance). These functionalities have been implemented with the Urbanity python package which provides functionalities for saving, loading, visualising, processing, and converting urban graphs to machine learning friendly formats (PyG and DGL). Installation instructions are available at: https://github.com/winstonyym/urbanity

The graphs are referenced to global coordinate reference system (EPSG:4326).

If you have any questions, please email: winstonyym@u.nus.edu / winyap@mit.edu