Graph-tool

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.


References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  2. Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
  3. Gareth D. Simons: The cityseer Python package for pedestrian-scale network-based urban analysis (2021) arXiv
  4. Matthew Treinish, Ivan Carvalho, Georgios Tsilimigkounakis, Nahum Sá: retworkx: A High-Performance Graph Library for Python (2021) arXiv
  5. Pessa, Arthur A. B.; Ribeiro, Haroldo V.: ordpy: a Python package for data analysis with permutation entropy and ordinal network methods (2021)
  6. Benedek Rozemberczki, Oliver Kiss, Rik Sarkar: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (2020) arXiv
  7. Joel C. Miller, Tony TIng: EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks (2020) arXiv
  8. B. Perret; G. Chierchia; J. Cousty; S. J. F. Guimaraes; Y. Kenmochi; L. Najman: Higra: Hierarchical Graph Analysis (2019) not zbMATH
  9. Szymański, Piotr; Kajdanowicz, Tomasz: scikit-multilearn: a scikit-based Python environment for performing multi-label classification (2019)
  10. Weir, William H.; Emmons, Scott; Gibson, Ryan; Taylor, Dane; Mucha, Peter J.: Post-processing partitions to identify domains of modularity optimization (2017)
  11. Hoppe, Travis; Petrone, Anna: Integer sequence discovery from small graphs (2016)