Sep 23–26, 2019

An introduction to machine learning on graphs

David Mack (Octavian)
3:45pm4:25pm Thursday, September 26, 2019
Location: 1A 12/14
Secondary topics:  Financial Services
Average rating: ***..
(3.33, 6 ratings)

Who is this presentation for?

  • Engineers and machine learning researchers

Level

Intermediate

Description

Graphs are a powerful way to represent knowledge. They can represent disparate types of knowledge in one unified structure. Organizations, in fields such as biosciences and finance, are starting to amass large knowledge graphs, but they lack the machine learning tools to extract insights from them.

David Mack offers an overview of what insights are possible and surveys the most popular approaches. Along the way, he points out areas of active research and shares online resources and a bibliography for further study.

This talk is based on recent articles and talks David has worked on with his colleague Andy.

Prerequisite knowledge

  • A basic understanding of neural networks

What you'll learn

  • Learn how to get started with machine learning on graphs

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Comments

David Mack | Co-Founder, Researcher
10/10/2019 6:43am EDT

Here are the slides :)
https://docs.google.com/presentation/d/1Re6dGNFBHqP2kA_3I_FInA6fqzod0lcCpNhqo_QcS4c/edit?usp=sharing

Anushka Jadhav | sr software engineer
10/09/2019 4:42pm EDT

Hi, can you please post the slides fro this talk

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