Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...

StellarGraph has launched a series of new algorithms for network graph analysis to help discover patterns in data, work with larger data sets and speed up performance while reducing memory usage.

Graph algorithms lie at the heart of modern computational theory, probing how networks of vertices and edges can be explored, optimised or transformed under constraints that often defy efficient ...

This book offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based ...

On Tuesday the 3rd of October 2023, M.Sc. Manuel Cáceres defends his PhD thesis on Parameterized and Safe & Complete Graph Algorithms for Bioinformatics. The thesis is related to research done in the ...

Summary of the context and overall objectives of the project This project studies foundational aspects of computation in distributed or massively parallel systems. With the rapid increase in the data ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.