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

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

Practical volume computation and sampling in high dimensions

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.

For shallow-water Lagrangian particle routing.

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

MeshWalker implementation

A python package for constructing and analysing minimum spanning trees.

A python library for metabolic networks sampling and analysis

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

New Algorithms for Learning on Hypergraphs

A Broader Picture of Random-walk Based Graph Embedding

Outlier detection for categorical data

Random walk to calculate the tortuosity tensor of images

Spring 2018 Monte Carlo project at ENSAE: simulation of self-avoiding random walks