COMP 654 Graph Representation Learning

4 credits · Computer Science · Graduate Studies · Not scheduled for 2026–2027

Machine learning with graph-structured data. Introductions to spectral graph theory, graph signal processing, graph convolutions, graph neural networks, and the logic of graphs.

Prerequisites

MATH 222, MATH 223, COMP 360, COMP 451 or COMP551, or equivalents.

Prerequisite courses: COMP 360, COMP 451, COMP 551, MATH 222, MATH 223

Restrictions

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

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