COMP 654 Graph Representation Learning (4 credits)

Overview

Computer Science (Sci) : Machine learning with graph-structured data. Introductions to spectral graph theory, graph signal processing, graph convolutions, graph neural networks, and the logic of graphs.

Terms: This course is not scheduled for the 2024-2025 academic year.

Instructors: There are no professors associated with this course for the 2024-2025 academic year.

• Prerequisites: MATH 222, MATH 223, COMP 360, COMP 451 or COMP551, or equivalents.

• Restriction: Not open to students who have taken COMP 766 when the topic was "Graph Representation Learning".