A distributed graph deep learning framework.

Practical volume computation and sampling in high dimensions

Robot path planning, mapping and exploration algorithms

Applied Probability Theory for Everyone

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

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

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

A general-purpose, distributed graph random walk engine.

A python library for metabolic networks sampling and analysis

New Algorithms for Learning on Hypergraphs

A python package for constructing and analysing minimum spanning trees.

Papers on Graph Analytics, Mining, and Learning

Random walk to calculate the tortuosity tensor of images

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

Outlier detection for categorical data

Analyzing Stock Movements using Markov Chains and Monte Carlo Simulation

Re-run, Repeat, Reproduce, Replicate, Re-use

Graph clustering and Node embeddings with word2vec

Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.

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