Analyze Data with Pandas-based Networks. Documentation:

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.

small template code to create a multilayer network using matplotlib and networkx

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

Molecular interactions inference from single-cell multi-omics data

Python package for simulating spreading phenomena in complex networks

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.

How to draw multilayer networks in R.

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

First-to-spike decoding in multilayer SNNs.

Library for analyzing typed graphs.

Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)

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

Integrating pathways and related knowledge in a multilayer framework

Supplementary data 1 of the paper Mello et al. 2019 (NatureEcoEvo).

Image Classification using Deep Neural Networks

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

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

A collection of multilayer network datasets build from movies