📓 The problem and promise of scale in multilayer animal social networks
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Updated
May 28, 2021 - R
📓 The problem and promise of scale in multilayer animal social networks
Build your Neural Network using Back Propagation Algorithm.
Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
Community detection in multilayer degree corrected stochastic block models
OhmNet: Representation learning in multi-layer graphs
scMLnet2.0: Single-cell RNA-seq data-based inference of multilayer inter- and intra-cellular signaling networks
Library for analyzing typed graphs.
Experimental repo for paper: https://doi.org/10.26599/BDMA.2024.9020010
A generator of a dataset with actors' spreading potentials in multilayer networks under Independent Cascade Model
MATLAB implementation of Strength Adjusted Multilayer Spectral Clustering
Mirror of the py3plex project (https://py3plex.readthedocs.io/en/latest/)
Visualizing multilayer networks in Gephi
An R package for handling and manipulating multilayer network data, mainly for ecological networks
A Graph Optimal Transport Python Package
Experimental repo for paper: 10.1109/DSAA54385.2022.10032425
neural network from scratch
'netmem: Network Measures using Matrices' is an R Package
An exploration of recommender systems using Bayesian Bandit, matrix factorization, deep learning, and residual learning.
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