A Graph Optimal Transport Python Package
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Updated
May 6, 2024 - Python
A Graph Optimal Transport Python Package
Supplemental material for paper "Current challenges in multilayer network engineering": Experiment scripts
This repository contains the implementation of the Complex-based 6G Network Functions Placement Algorithm.
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
Research project exploring multiplex reconstruction techniques informed by graph embeddings.
A package to perform Random Walk with Restart on different types of networks
Research project exploring multiplex reconstruction techniques informed by Naive Bayesian classifiers.
Code and datasets for MultiComSampling.
Pretty GAMELEON : Pretty General Agent-based Model (for) Epidemiological (and) Logistical Enquiries On Networks
This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Translation of the MOGAMUN algorithm in Python as part of a biological network modeling course.
Multiple Partitioning of Multiplex Signed Networks
[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Client-Server Application that runs over TCP and UDP
Nodal centrality for multiplex networks
How to draw multilayer networks in R.
Example output from my multiplex visualisation tool
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