COSC 89.39 Graph-based Machine Learning

Complex data can often be represented as graphs that capture relationships among objects. Such network structures are essential for modeling social, technological, and biological systems. This course examines the computational, algorithmic, and modeling challenges that arise when analyzing large-scale graphs. Through studying graph structures and their properties, students will learn machine learning methods and data mining techniques designed to extract meaningful patterns and insights from diverse real-world networks.

Degree Requirement Attributes

Dist:TAS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Department-Specific Course Categories

Computer Science