There are 20 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)
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)
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
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.
Graphs and passing networks in football.
A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.
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.
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
TILES: an algorithm for community discovery in dynamic social networks
Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
Repository for DCA0209, an undergraduate course about Data Structure and Algorithms
Bayesian network models for inferring core-periphery structure
An R package to infer and analyze synteny networks from protein sequences
Prioritizing network communities