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Microsoft

From Graph to Knowledge Graph – Algorithms and Applications

Microsoft via edX

Overview

Many real-world datasets come in the form of graphs. These datasets include social networks, biological networks, knowledge graphs, the World Wide Web, and many more. Having a comprehensive understanding of these networks is essential to truly understand many important applications.

This course introduces the fundamental concepts and tools used in modeling large-scale graphs and knowledge graphs. You will learn a spectrum of techniques used to build applications that use graphs and knowledge graphs. These techniques range from traditional data analysis and mining methods to the emerging deep learning and embedding approaches.

Syllabus

  • Module 1: Introduction and Overview
  • Module 2: Graph Properties and Applications
  • Module 3: Graph Representation Learning
  • Module 4: Knowledge Graph Fundamentals and Construction
  • Module 5: Knowledge Graph Inference and Applications

Taught by

Yuxiao Dong, Iris Shen and Hao Ma

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