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COMP 654. Graph Representation Learning.

Credits: 4
Offered by: Computer Science (Graduate Studies)
This course is not offered this catalogue year.

Description

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

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