A curated list of awesome network analysis resources.
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Updated
Aug 26, 2020 - R
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A curated list of awesome network analysis resources.
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)
A Temporal Extension Library for PyTorch Geometric
A repository of pretty cool datasets that I collected for network science and machine learning research.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
depthmapX is a multi-platform Spatial Network Analysis Software
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .
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 2019.
Graphs and passing networks in football
Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
Uncertainty and causal emergence in complex networks
TILES: an algorithm for community discovery in dynamic social networks
Software for complex network analysis -- see www.complex-networks.net
Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.
Prioritizing network communities
A list of data mining and machine learning papers that I implemented in 2019.
A versatile software for modeling epidemics on networks
Network analysis of the Facebook/Cambridge Analytica scandal
Code for the paper Developing optimal bicycle network growth strategies
Equilibrium Expectation for ERGM parameter estimation for large directed networks
C++ implementation of a MCMC sampler for the (canonical) SBM
RDyn: graph benchmark handling community dynamics
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