A curated list of awesome network analysis resources.
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Updated
May 1, 2022 - 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)
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
scikit-mobility: mobility analysis in Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
Publication-quality network visualisations in python
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
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.
TigerLily: Finding drug interactions in silico with the Graph.
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
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Practical assignments for the network science course
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
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