Graph Analytics in Research Computing (graph libraries)

Term: Spring 2026

Date: March 10th, 2026

Time: 2:00 p.m. to 4:00 p.m.

Location: Online Only

Instructor: Chris Kuhlman

Presented By: Advanced Research Computing (ARC)

Description:

Prerequisites:

Basic ideas of containers and their use.

Description:

Graphs are ubiquitous, representing a range of systems from brain neural networks to road networks. There are several freely available software libraries for performing graph analytics. Different libraries focus on different user groups. We will describe some of the major libraries and their advantages. Several examples will be provided.