11-741 Machine Learning with Graphs
Location: Pittsburgh
Units: 12
Semester Offered: Fall
Course description
Graphs offer a natural way to represent complex relationships among objects of all kinds. Neural network learning with graphs has become important in both academic research and industrial applications. This course (for graduate and undergraduate students who meet the prerequisites) offers a mixture of fundamental concepts, algorithms, basic and advanced models, and broad applications, ranging from social popularity analysis and knowledge graph reasoning to deep learning for solving NP-complete problems.
For more information about the course, see https://www.coursicle.com/cmu/courses/LTI/11741/