Machine Learning with Graphs

Catalog 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. Prerequisites: 15-213 and ( 21-341 or 21-241 ) and 21-325 Course Website: https://cmu-ml4graph.github.io/s2024/