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.
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