Content What is this course about? 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
Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 Tuesdays 4:30-5:50 P.M. PDT and Thursdays 4:30-5:50 P.M. PDT Course Info Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a w
MS&E334: Topics in Social Data (Spring 2022) Johan Ugander, Assistant Professor, MS&E Email: jugander [at] stanford Office location: Huang 357 Office Hours: by appointment Lecture hours: Fr 1:30-4:30p Lecture room: Thornton 110 Course Description In-depth survey of methods for the analysis of large-scale social and behavioral data. Particular focus on recent developments in preference learning. Co
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