Showing 12 of 12 projects
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
A curated list of community detection research papers with implementations.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
Educational materials for the textbook 'A First Course in Network Science', including Python tutorials, datasets, and Jupyter notebooks.
A curated list of resources for studying complex systems science, covering concepts, models, software, and communities.
A curated list of resources for studying complex systems science, covering concepts, models, software, and literature.
A collection of open-source LaTeX cheatsheets and resources for teaching network science concepts across disciplines.
R code to generate co-citation networks for social network analysis and network science research across disciplines using Web of Science data.
A Python package for community detection algorithms in n-partite networks, including modularity optimization and synthetic network generation.
Undergraduate lecture notes in network science with custom CSS and live-coding notebooks via Google Colab.
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