complex-networks

Network Analysis in Python

Python interface for igraph

Python interface to Graphviz graph drawing 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.

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.

复杂网络社区发现算法、评价指标、常用数据集整理

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

Py3plex - A multilayer complex network visualization and analysis library in python3

A toolbox for using complex-valued standard network modules in PyTorch, including MLP, CNN, RNN, Attention.

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations.

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Dynamic Network Analysis library

Graph algorithms written in GraphBLAS

Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.

Symbolic Generators for Complex Networks