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1 - 1 of 1 results for: CS 224W: Analysis of Networks

CS 224W: Machine Learning with Graphs

Networks are a fundamental tool for modeling complex social, technological, and biological systems. Coupled with the emergence of online social networks and large-scale data availability in biological sciences, this course focuses on the analysis of massive networks which provide several computational, algorithmic, and modeling challenges. Students are introduced to machine learning techniques and data mining tools apt to reveal insights on the social, technological, and natural worlds, by means of studying their underlying network structure andninterconnections. Topics include: robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; graph neural networks and representation learning; identification of functional modules in biological networks; disease outbreak detection.
Terms: Aut | Units: 3-4 | Grading: Letter or Credit/No Credit
Instructors: Leskovec, J. (PI)
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