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
Learned diffusion heuristics with GPU-accelerated search for short paths in large graphs.
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.
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