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.

tempest-rw

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

pydorado

For shallow-water Lagrangian particle routing.

littleballoffur

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

pytrax

Random walk to calculate the tortuosity tensor of images

pyfracgen

Fractal images with Python

coupled-biased-random-walks

Outlier detection for categorical data

pyrandwalk

:walking:Python Library for Random Walks

absorbing-centrality

An implementation of the absorbing random-walk centrality

polymercpp

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

graphroam

GraphRoam is a Python library designed to efficiently generate random walks on large graphs using consumer-grade, RAM-limited hardware.

halfrand

Generate reproducible random-walk-like sequences with bounded changes using a Python API and CLI.

weighted-metapath2vec

Weighted Metapath2Vec Graph Embedding

reluctant-walks

Reluctant walks tend to exit the quarter-plane in which they are constrained (because of strong negative drift), but this work shows how to randomly sample large reluctant walks anyway. (Lumbroso, Mishna, Ponty, 2017)

euler-gl

A distributed graph deep learning framework.

euler2-gl

A distributed graph deep learning framework.