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

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

A python library for metabolic networks sampling and analysis

For shallow-water Lagrangian particle routing.

MeshWalker implementation

A python package for constructing and analysing minimum spanning trees.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Official Pytorch implementation of NeuralWalker (ICLR 2025)

Random walk to calculate the tortuosity tensor of images

A Broader Picture of Random-walk Based Graph Embedding

Fractal images with Python

Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020

Outlier detection for categorical data

The official code implementation for DREAMwalk in Python.

A Python implementation and visualization of various pathfinding and graph search algorithms.

Efficient zero-human-knowledge NN-based solver for NxNxN Rubik's cubes and general Cayley graphs

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.

This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture]

[ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch