There are 18 repositories under network-science topic.
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 critical to advance detection capabilities of money laundering activities.
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).
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.
Practical assignments for the network science course
Collection of papers relating data-driven higher-order graph/networks researches.
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
TILES: an algorithm for community discovery in dynamic social networks
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Bayesian network models for inferring core-periphery structure
:earth_americas: Readings and resource materials for data science
Prioritizing network communities
Repository for DCA0209, an undergraduate course about Data Structure and Algorithms
Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects
Equilibrium Expectation for ERGM parameter estimation for large networks
Notebooks used in the Network Data Science with NetworkX and Python guided course