network-science

A curated list of awesome network analysis resources.

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

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

Publication-quality network visualisations in python

A repository of pretty cool datasets that I collected for network science and machine learning research.

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

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 critical to advance detection capabilities of money laundering activities.

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

CompleX Group Interactions (XGI) is a Python package for higher-order networks.

depthmapX is a multi-platform Spatial Network Analysis Software

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.

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

Graphs and passing networks in football.

Uncertainty and causal emergence in complex networks

TigerLily: Finding drug interactions in silico with the Graph.

Practical assignments for the network science course