A GPU-accelerated generator of a dataset with actors' spreading potentials in multilayer networks under Independent Cascade Model

Python package for simulating spreading phenomena in complex networks

Molecular interactions inference from single-cell multi-omics data

A framework for advanced multi-graph analysis and method development

Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. This method works for single-layer and multi-layer networks, as well as for restricting focus to a fixed number of communities when desired.

'netmem: Network Measures using Matrices' is an R Package

Analyze Data with Pandas-based Networks. Documentation:

Code and data accompanying the paper "Local and regional processes drive distance decay in structure in a spatial multilayer plant-pollinator network"

The original library for analyzing multilayer networks.

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts

Generator of synthetic Interconnected Networks (GIN)

A Graph Optimal Transport Python Package

Experimental repo for paper: https://doi.org/10.26599/BDMA.2024.9020010

An R package for handling and manipulating multilayer network data, mainly for ecological networks

Mirror of the py3plex project (https://py3plex.readthedocs.io/en/latest/)

Integrating pathways and related knowledge in a multilayer framework

Build your Neural Network using Back Propagation Algorithm.

R package to create, modify and visualize graphs with multiple layers.

Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"