Spectral Clustering is a technique to cluster data which finds use in community detetction applications

Random generation of a connected undirected graph with a user-specified sparsity level.

The implementation of advanced mathematical optimization methods

Provides a library of classes and types to represent Graph Theory graphs as list and/or matrix.

This repo is the code for the 2024 IEEE PES GM paper. It proposes a novel topology embedding method for handling topology problem in power system.

Spectral Based Mesh Segmentation

Image Processing using Graph Laplacian Operator

Consistency-aware and inconsistency-aware graph-based multi-view clustering

Simple graph classes

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, allGather, reduceScatter and sendRecv operations.