COURSE INFO
VECTOR[3-0-0:3]
PREVIOUS CODEDSAA 6000B
DESCRIPTIONGraph, as a very expressive model, has been widely used to model real-world entities and their relationships in application-specific networks. In this course, students will gain a thorough introduction to the basics of graph theories, as well as cutting-edge research in deep learning for graphs. The topics include graph embeddings, graph neural networks, graph clustering models, graph generative models, adversarial attacks on graphs, graph reasoning, etc.

DSAA 5037 - Introduction to Graph Learning (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6062) Mo 03:00PM - 05:50PMRm 228, E2ZHANG, Yongqi600600