Generator of synthetic Interconnected Networks (GIN)
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Updated
May 10, 2024 - CSS
Generator of synthetic Interconnected Networks (GIN)
A Graph Optimal Transport Python Package
Molecular interactions inference from single-cell multi-omics data
Analyze Data with Pandas-based Networks. Documentation:
Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
An R package for handling and manipulating multilayer network data, mainly for ecological 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.
'netmem: Network Measures using Matrices' is an R Package
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"
Community detection in multilayer degree corrected stochastic block models
Visualizing multilayer networks in Gephi
small template code to create a multilayer network using matplotlib and networkx
Network of Networks construction via percolation procedure
ITLab Covid visualization dashboard
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