network-science

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

A curated list of community detection research papers with implementations.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

scikit-mobility: mobility analysis in Python

Publication-quality network visualisations in python

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is …

HGX is a multi-purpose, open-source Python library for higher-order network analysis

Py3plex - A multilayer complex network visualization and analysis library in python3

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

TILES: an algorithm for community discovery in dynamic social networks

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning

Bayesian network models for inferring core-periphery structure

Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit

Python package for simulating spreading phenomena in complex networks

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)