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COMP 654 Graph Representation Learning (4 credits)

Offered by: Computer Science (Faculty of Science)

Administered by: Graduate Studies

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 2022-2023 academic year.

Instructors: There are no professors associated with this course for the 2022-2023 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".