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)
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
Nonlinear Dynamics: A concise introduction interlaced with code
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).
Comparative analysis of pairwise interactions in multivariate time series.
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
Graph theory analysis of brain MRI data
Material workbench for the master-level course CS-E4740 "Federated Learning"
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Add a description, image, and links to the complex-networks topic page so that developers can more easily learn about it.
To associate your repository with the complex-networks topic, visit your repo's landing page and select "manage topics."