CSCI 4478
Machine Learning for Graphs
This course delves into the computational, algorithmic, and modeling challenges associated with analyzing massive graphs. Through the study of graph structures and their features, students will explore machine learning techniques and data mining tools designed to uncover valuable insights across diverse types of networks. Three hours of lecture and one recitation of 1.5 hours per week.
Prerequisites & course information
Prerequisite: CSCI 2227 and either: CSCI 2341 and MATH 2301 , or CSCI 2228
Sources
- Course catalogue ↗2026-2027