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.

For shallow-water Lagrangian particle routing.

A python library for metabolic networks sampling and analysis

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

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)

New Algorithms for Learning on Hypergraphs

A Broader Picture of Random-walk Based Graph Embedding

Official Pytorch implementation of NeuralWalker

Outlier detection for categorical data

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