random-walk

A distributed graph deep learning framework.

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

Robot path planning, mapping and exploration algorithms

Practical volume computation and sampling in high dimensions

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

Papers on Graph Analytics, Mining, and Learning

Applied Probability Theory for Everyone

A general-purpose, distributed graph random walk engine.

SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.

A python library for metabolic networks sampling and analysis

For shallow-water Lagrangian particle routing.

MeshWalker implementation

Website built using React Framework for visualizing Pathfinding and Maze Generation Algorithms.

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)

New Algorithms for Learning on Hypergraphs

Official Pytorch implementation of NeuralWalker (ICLR 2025)

Random walk to calculate the tortuosity tensor of images

Projects are developed for implementing the knowledge gained in the courses studied at World Quant University and meeting the requirement of clearing the courses.

A Broader Picture of Random-walk Based Graph Embedding