Analyze Data with Pandas-based Networks. Documentation:

Integrating pathways and related knowledge in a multilayer framework

Python package for simulating spreading phenomena in complex networks

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

Experimental repo for the paper: https://arxiv.org/abs/2502.15236

A framework for advanced multi-graph analysis and method development

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

Data and codes supporting the manuscript "Dialogue mechanisms between astrocytic and neuronal networks: a whole-brain modelling approach" by Ali et al., 2025, PCBI.

Multilayer Network Analysis of Milan Public Transport System

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

Molecular interactions inference from single-cell multi-omics data

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.

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.

Generator of synthetic Interconnected Networks (GIN)

A Graph Optimal Transport Python Package

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

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

Build your Neural Network using Back Propagation Algorithm.