CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "City2Graph: A Python Library for Heterogeneous Graph Neural Networks and Spatial Analysis in Urban Systems"
abstract: "City2Graph is a Python library that provides an integrated interface of geospatial datasets from multiple domains converting into graph representations. It facilitates the one-stop data pipeline for spatial network analysis and Graph Neaural Networks (GNNs)  for GeoAI applications."
authors:
  - given-names: Yuta
    family-names: Sato
    email: y.sato@liverpool.ac.uk
    orcid: https://orcid.org/0009-0004-7052-7163
    affiliation: University of Liverpool
repository-code: "https://github.com/c2g-dev/city2graph"
url: "https://city2graph.net"
license: BSD-3-Clause
version: 1.0.0
date-released: "2026-07-31"
keywords:
  - GeoAI
  - Graph Neural Networks
  - GNN
  - PyTorch Geometric
  - Geospatial Analysis
  - Urban Analytics
  - Spatial Data Science
  - Urban Mobility
  - Transportation Networks
  - Spatial Knowledge Graphs
  - Spatiotemporal Analysis
  - Geospatial Foundation Models
  - Digital Twin
  - Urban Informatics
  - Geographic Data Science
  - Graph Representation Learning
  - Urban Planning and Design
preferred-citation:
  type: article
  title: "City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems"
  authors:
    - given-names: Yuta
      family-names: Sato
      email: y.sato@liverpool.ac.uk
      orcid: https://orcid.org/0009-0004-7052-7163
      affiliation: University of Liverpool
    - given-names: Elisabetta
      family-names: Pietrostefani
    - given-names: Ron
      family-names: Mahabir
    - given-names: Daniel
      family-names: Arribas-Bel
  journal: "Computers, Environment and Urban Systems"
  volume: 130
  start: 102492
  year: 2026
  issn: "0198-9715"
  doi: "10.1016/j.compenvurbsys.2026.102492"
  url: "https://www.sciencedirect.com/science/article/pii/S0198971526000943"