Library for analyzing typed graphs.
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Updated
Feb 8, 2019 - Java
Library for analyzing typed graphs.
📓 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
MATLAB implementation of Strength Adjusted Multilayer Spectral Clustering
Mirror of the py3plex project (https://py3plex.readthedocs.io/en/latest/)
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.
(OLD) Multi-layer feed-forward ANN with backpropagation using STL on MNIST data set (hand-written digit recognition).
Methods for identifying and ranking users who alternately behave as contributors and as lurkers over multiple layers of a multilayer social network
Network of Networks construction via percolation procedure
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
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