complex-networks

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.

复杂网络社区发现算法、评价指标、常用数据集整理

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).

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.

Material workbench for the master-level course CS-E4740 "Federated Learning"