About

About#

Proximity Graphs is a Python library developed as part of a research project focused on the construction, analysis, and visualization of proximity graphs in n-dimensional space. The library is maintained by the following authors.

Authors#

Héctor Maravillo#

Héctor Saib Maravillo Gómez

Héctor is the lead developer of the Proximity Graphs library. His work in the library focuses on computational geometry, graph theory, and the design of efficient algorithms for proximity structures. He is responsible for the core architecture of the library, including the SetPoints, GeometricGraph, and ProximityGraph modules.

Diego Villarreal#

Diego Villarreal De La Cerda

Diego leads the experimental and biological graph components of the library. He is the primary author of the Experiments and BiologicalGraphs modules, with a focus on applying biological systems into network analysis, also contributing into the development of the documentation and this website.

Heriberto Espino Montelongo#

Heriberto Espino

Heriberto is a dual-degree student in Data Science and Actuarial Science at Universidad de las Américas Puebla (UDLAP) with research interest in computational geometry. Within the Proximity Graphs library, he contributes proximity graph constructions—including gamma-graphs and alpha-hulls.

Citation#

If you use this library in your research, please cite it as:

@software{Maravillo_ProximityGraphs_2026,
 author = {Maravillo, Héctor and Villarreal, Diego and Espino Montelongo, Heriberto},
 license = {MIT},
 month = april,
 title = {{ProximityGraphs}},
 url = {https://github.com/HectorMaravillo/ProximityGraphs},
 version = {0.1.0},
 year = {2026}
 }

Contact#

For questions, bug reports, or contributions, please open an issue on the project repository or contact the authors directly.

Note

This library is under active development. Contributions and feedback are welcome.