Instructor: Jurij Leskovec
Instructor page: https://profiles.stanford.edu/jure-leskovec
Official course website: https://web.stanford.edu/class/cs224w/index.html
Youtube playlist (2021 updated): https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
PS: the lecture slides/videos/assignments are all posted online for free to use by the general public.
Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. By means of studying the underlying graph structure and its features, students are introduced to machine learning techniques and data mining tools apt to reveal insights on a variety of networks.\
representation learning and Graph Neural Networks; algorithms for the World Wide Web; reasoning over Knowledge Graphs; influence maximization; disease outbreak detection, social network analysis.