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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

  • content
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swh:1:cnt:8681eb5fc60b9672e1de60c81d88c42b9c67981b

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

  • content
(requires biblatex-software package)
Generating citation ...
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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Software Heritage — Copyright (C) 2015–2026, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Content policy— Contact— JavaScript license information— Web API