Network Analysis in Python
A curated list of awesome network analysis resources.
cuGraph - RAPIDS Graph Analytics Library
Library for the analysis of networks
Python interface for igraph
🔗 C++17 network / graph visualization library - Qt6 / QML node editor.
Python interface to Graphviz graph drawing package
NetworKit is a growing open-source toolkit for large-scale network analysis.
igraph R package
Community Discovery Library
Network Diffusion Library - (for NetworkX and iGraph)
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
Nonlinear Dynamics: A concise introduction interlaced with code
Comparative analysis of pairwise interactions in multivariate time series.
Graph theory analysis of brain MRI data
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
The complete graph data science platform
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