📓 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.
Library for analyzing typed graphs.
Experimental repo for paper: https://doi.org/10.26599/BDMA.2024.9020010
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
Mirror of the py3plex project (https://py3plex.readthedocs.io/en/latest/)
MATLAB implementation of Strength Adjusted Multilayer Spectral Clustering
neural network from scratch
'netmem: Network Measures using Matrices' is an R Package
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
An exploration of recommender systems using Bayesian Bandit, matrix factorization, deep learning, and residual learning.
(OLD) Multi-layer feed-forward ANN with backpropagation using STL on MNIST data set (hand-written digit recognition).
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