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.

For shallow-water Lagrangian particle routing.

A python library for metabolic networks sampling and analysis

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)

A Broader Picture of Random-walk Based Graph Embedding

Outlier detection for categorical data

Official Pytorch implementation of NeuralWalker

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

Random walk to calculate the tortuosity tensor of images

Fractal images with Python

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

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]

The official code implementation for DREAMwalk in Python.

An implementation of the absorbing random-walk centrality

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