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)

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

scikit-mobility: mobility analysis in Python

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 …

depthmapX is a multi-platform Spatial Network Analysis Software

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

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

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

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.

TigerLily: Finding drug interactions in silico with the Graph.

Uncertainty and causal emergence in complex networks

Practical assignments for the network science course