References in zbMATH (referenced in 161 articles )

Showing results 21 to 40 of 161.
Sorted by year (citations)

previous 1 2 3 4 ... 7 8 9 next

  1. Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas Symeonidis: pygrank: A Python Package for Graph Node Ranking (2021) arXiv
  2. Evans, Emily; Guo, Weihong; Genctav, Asli; Tari, Sibel; Domeniconi, Carlotta; Murillo, Anarina; Chuang, Julia; AlSumait, Loulwah; Mani, Priya; El-Zehiry, Noha: Role detection and prediction in dynamic political networks (2021)
  3. Facca, Enrico; Benzi, Michele: Fast iterative solution of the optimal transport problem on graphs (2021)
  4. Ferreyra, Emanuel Javier; Jonckheere, Matthieu; Pinasco, Juan Pablo: SIR dynamics with vaccination in a large configuration model (2021)
  5. Fitzpatrick, James; Ajwani, Deepak; Carroll, Paula: Learning to sparsify travelling salesman problem instances (2021)
  6. Fraggedakis, Dimitrios; Chaparian, Emad; Tammisola, Outi: The first open channel for yield-stress fluids in porous media (2021)
  7. Francesco Andreuzzi: BisPy: Bisimulation in Python (2021) not zbMATH
  8. Gareth D. Simons: The cityseer Python package for pedestrian-scale network-based urban analysis (2021) arXiv
  9. Garyfallidis et al.: FURY: advanced scientific visualization (2021) not zbMATH
  10. Hiller, Benjamin; Saitenmacher, René; Walther, Tom: Improved models for operation modes of complex compressor stations (2021)
  11. James D. Gaboardi, Sergio Rey, Stefanie Lumnitz: spaghetti: spatial network analysis in PySAL (2021) not zbMATH
  12. Jon Schwenk; Jayaram Hariharan: RivGraph: Automatic extraction and analysis of river and delta channel network topology (2021) not zbMATH
  13. Matthew Treinish, Ivan Carvalho, Georgios Tsilimigkounakis, Nahum Sá: retworkx: A High-Performance Graph Library for Python (2021) arXiv
  14. Moazeni, Somayeh; Collado, Ricardo A.: Resource allocation for contingency planning: an inexact proximal bundle method for stochastic optimization (2021)
  15. Pessa, Arthur A. B.; Ribeiro, Haroldo V.: ordpy: a Python package for data analysis with permutation entropy and ordinal network methods (2021)
  16. Rusnak, Lucas; Tešić, Jelena: Characterizing attitudinal network graphs through frustration cloud (2021)
  17. Torres, Leo; Chan, Kevin S.; Tong, Hanghang; Eliassi-Rad, Tina: Nonbacktracking eigenvalues under node removal: X-centrality and targeted immunization (2021)
  18. Tuck, Jonathan; Barratt, Shane; Boyd, Stephen: A distributed method for fitting Laplacian regularized stratified models (2021)
  19. Tumurbaatar, Altansuren; Sottile, Matthew J.: Algebraic algorithms for betweenness and percolation centrality (2021)
  20. Vincent Mallet, Carlos Oliver, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl: RNAglib: A Python Package for RNA 2.5D Graphs (2021) arXiv

previous 1 2 3 4 ... 7 8 9 next