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swh:1:snp:5003547be900b444c1ef0046c77da9881998af06
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    • 18e7418
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    • c2g-dev-city2graph-44be042
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    • CITATION.cff
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    Generate software citation in BibTex format (requires biblatex-software package)
    Generating citation ...
    Generate software citation in BibTex format (requires biblatex-software package)
    Generating citation ...
    Generate software citation in BibTex format (requires biblatex-software package)
    Generating citation ...
    Generate software citation in BibTex format (requires biblatex-software package)
    Generating citation ...
    CITATION.cff
    cff-version: 1.2.0
    message: "If you use this software, please cite it as below."
    type: software
    title: "city2graph: Transform geospatial relations into graphs for spatial network analysis and Graph Neural Networks"
    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: 0.1.5
    date-released: 2025-09-19
    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: software
      title: "city2graph: Transform geospatial relations into graphs for spatial analysis and Graph Neural Networks"
      authors:
        - given-names: Yuta
          family-names: Sato
          email: y.sato@liverpool.ac.uk
          affiliation: University of Liverpool
      version: 0.1.5
      url: "https://github.com/c2g-dev/city2graph"
      year: 2025
    

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