From Graph to Knowledge Graph - Algorithms, Theory and Applications
Learn the fundamental algorithms and theories used for understanding large-scale graphs and knowledge graphs.
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Description
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.
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.
Pricing:
Free
Free
Level:
Intermediate
Intermediate
Duration:
4 weeks, 3h-4h/week
4 weeks, 3h-4h/week
Educator:
Yuxiao Dong
Yuxiao Dong
Organization:
Microsoft
Microsoft
Submitted by:
Coursearena
Coursearena
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