A curated list of awesome network analysis resources.
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Updated
Jun 10, 2024 - R
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 …
depthmapX is a multi-platform Spatial Network Analysis Software
HGX is a multi-purpose, open-source Python library for higher-order network analysis
CompleX Group Interactions (XGI) is a Python package for higher-order networks.
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.
Uncertainty and causal emergence in complex networks
Practical assignments for the network science course
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