Random Walk Python Packages

moptipy

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

temporal-random-walk

An efficient CUDA accelerated C++ framework for temporal random walk algorithm

tempest-rw

An efficient CUDA accelerated C++ framework for temporal random walk algorithm

temporal-walk

An efficient CUDA accelerated C++ framework for temporal random walk algorithm

littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

pydorado

For shallow-water Lagrangian particle routing.

pyrandwalk

:walking:Python Library for Random Walks

pyfracgen

Python Fractal Generation is a package for generating aesthetic fractal images quickly and (hopefully) easily

pytrax

Random walk to calculate the tortuosity tensor of images

weighted-metapath2vec

Weighted Metapath2Vec Graph Embedding

coupled-biased-random-walks

Outlier detection for categorical data

absorbing-centrality

An implementation of the absorbing random-walk centrality

polymercpp

2D and 3D wormlike chain generator for Python and written in C++

graphroam

A Python library for efficient random walks on massive graphs

reluctant-walks

Python/Sage package to study and sample reluctant random walks in the positive quadrant.

euler-gl

A toolset for network representation learning.

euler2-gl

A distributed graph deep learning framework.