St. Nicolas House Algorithm implementation in R - predicting correlation networks using association chains

A python3 module for maximum entropy models on networks.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Code for the paper "Reconstructuring Sparse Multiplex Networks With Application to Covert Networks"

Model-free method for inferring synaptic interactions from spike train recordings.

This is the source code of paper "Heterogeneous networks structure reconstruction via compressive sensing and clustering",DOI: 10.1109/TETCI.2020.2997011

A package for hierarchy discovery using the Hidden-Hierarchy Bigraph Model (estimation method: Metropolis-Hasting algorithm).

Source code for the paper "Block-Approximated Exponential Random Graphs" (DSAA2020)

Network reconstruction from time-series data

Network reconstruction from spiking events

This repo simply contains links of academic papers related to network reconstruction

Effect of hidden nodes on the reconstruction of bidirectional networks

Network inference via Event Space Linearization (ESL)

Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics