A curated list of awesome network analysis resources.
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Updated
Apr 16, 2024 - R
A curated list of awesome network analysis resources.
A curated list of community detection research papers with implementations.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
scikit-mobility: mobility analysis in Python
depthmapX is a multi-platform Spatial Network Analysis Software
A repository of pretty cool datasets that I collected for network science and machine learning research.
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 …
Practical assignments for the network science course
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Publication-quality network visualisations in python
Material for the EPFL master course "A Network Tour of Data Science", edition 2018.
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
TILES: an algorithm for community discovery in dynamic social networks
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