Machine learning with Graphs
Term of implementation: from Sep 26th to Dec 9th, 2023
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. We will precisely follow the CS224W schedule, material, coursework, grading policy etc. For more see eUcilnica.
