Machine learning with Graphs
Term of implementation: 22 September to 12 December 2025
World Wide Web, blogging platforms, instant messaging and Facebook can be characterized by the interplay between rich information content, the millions of individuals and organizations who create and use it, and the technology that supports it. The course will cover recent research on the structure and analysis of such large social and information networks and on models and algorithms that abstract their basic properties. Class will explore how to practically analyze large scale network data and how to reason about it through models for network structure and evolution.
This course is based on the course CS224W offered by Stanford University. The course starts on September 20 and lasts for ten weeks (not including the breaks). We will precisely follow the CS224W schedule, material, coursework, grading policy etc. For more see eUcilnica.
