Add to ORKGIGraph/M is an efficient general purpose graph theory and network analysis package for Mathematica. IGraph/M serves as the Wolfram Language interfaces to the igraph C library, and also provides several unique pieces of functionality not yet present in igraph, but made possible by combining its capabilities with Mathematica's. The package is designed to support both graph theoretical research as well as the analysis of large-scale empirical networks.Comment: submitted to Journal of Open Source Software on August 30, 202
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
Mathematical software and graph-theoretical algorithmic packages to efficiently model, analyze, and ...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Fo...
Other: Improved error checking and added more internal consistency checks to help debug issues wi...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
This release corrects problems with the documentation and restores documentation compatibility with ...
Added igraph_graph_power() computes the kth power of a graph (experimental function). igraph_commun...
This paper describes a program that was written to help students better learn the material on the gr...
We investigate Feynman graphs and their Feynman rules from the viewpoint of graph complexes. We focu...
HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex netwo...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based gra...
Graphlets are small network patterns that can be counted in order to characterise the structure of a...
Network analysis is a multidisciplinary research method that is quickly becoming a popular and excit...
The field of mathematics have important roll in various fields. One of the important area in mathema...
We introduce pyGSL, a Python library that provides efficient implementations of state-of-the-art gra...
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
Mathematical software and graph-theoretical algorithmic packages to efficiently model, analyze, and ...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Fo...
Other: Improved error checking and added more internal consistency checks to help debug issues wi...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
This release corrects problems with the documentation and restores documentation compatibility with ...
Added igraph_graph_power() computes the kth power of a graph (experimental function). igraph_commun...
This paper describes a program that was written to help students better learn the material on the gr...
We investigate Feynman graphs and their Feynman rules from the viewpoint of graph complexes. We focu...
HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex netwo...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based gra...
Graphlets are small network patterns that can be counted in order to characterise the structure of a...
Network analysis is a multidisciplinary research method that is quickly becoming a popular and excit...
The field of mathematics have important roll in various fields. One of the important area in mathema...
We introduce pyGSL, a Python library that provides efficient implementations of state-of-the-art gra...
Motivation : Graphlets are small network patterns that can be counted in order to characterise the s...
Mathematical software and graph-theoretical algorithmic packages to efficiently model, analyze, and ...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Fo...