Machine Learning with Graphs

Many complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling complex 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.

Topics Include

  • Representation learning and Graph Neural Networks
  • Algorithms for the World Wide Web
  • Reasoning over Knowledge Graphs
  • Influence maximization
  • Disease outbreak detection
  • Social network analysis

Course Page
Price
$5,824.00 Subject to change
Delivery
Online, instructor-led
Level
Intermediate
Commitment
10 weeks, 10-20 hrs/week
Credit
Mining Massive Data Sets Graduate Certificate Artificial Intelligence Graduate Certificate
School
Stanford School of Engineering
Language
English