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.
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
Random walk to calculate the tortuosity tensor of images
A Broader Picture of Random-walk Based Graph Embedding
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
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