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All LessonsFree Lessons (3)

About the Course

Getting Started

Introduction to Graph Theory

What is a Graph?Types of Graphs How to Represent Graphs as Data Structures Graph Network Visualization Quiz: Graph Theory

Graph Embeddings

What are Graph Embeddings?

Matrix Factorization-Based Approach

Random Walk-Based Approach

Neural Network-Based Approach

Quiz: Graph Embeddings

Supervised and Unsupervised Graph ML

What's Next After Learning Embeddings?Node Classification (Supervised)Link Prediction (Supervised)Graph Classification (Supervised)Graph Clustering and Community Detection (Unsupervised)Quiz: Graph Machine Learning Tasks

Graph Neural Networks

What are Graph Neural Networks?Neural Message Passing Types of Graph Neural Networks Quiz: Graph Neural Networks

Project

Link-Based Classification Using Graph Neural Networks

Knowledge Graph

What is a Knowledge Graph?Knowledge Graph Construction Importance of Knowledge Graphs and Their Issues Knowledge Graph Embeddings Quiz: Knowledge Graphs

Knowledge Graph Embeddings

Translation-Based Methods Factorization-Based Methods Neural Network-Based Methods Quiz: Knowledge Graph Embeddings

Case Study: Link Prediction on a Social Network Graph

Problem Description Approach to the Problem Coding the Solution

Case Study: Node Classification on a Biological Graph

Problem Description Approach to the Problem Coding the Solution

Appendix

Python Libraries

Introduction to Graph Machine Learning/

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Quiz: Graph Embeddings

Quiz: Graph Embeddings

Test your understanding of graph embeddings.

We'll cover the following...

Technical Quiz

1.

(Select all that apply.) Which of the following can representation learning capture or learn? Multi-select

A.

Local geometric properties

B.

Global geometric properties

C.

Low-dimensional vector representation

D.

Random walk length

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