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Graph Representational Learning

Map Nodes or Graphs to a low-dimensional vector space

Prerequisite

Graph Basics and Applications of Graph

A Graph is a ubiquitous non-linear data structure that describes a complex system. A graph models a set of objects called nodes or vertices and their relationships known as edges or links. A graph can be irregular having a variable size of unordered nodes.

Why Graph Representational Learning?

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Renu Khandelwal

Renu Khandelwal

Loves learning, sharing, and discovering myself. Passionate about Machine Learning and Deep Learning