An introduction to machine learning on graphs

David Mack (Octavian)

3:45pm–4:25pm Thursday, September 26, 2019

Location: 1A 12/14

Data Science, Machine Learning, & AI

Secondary topics: Financial Services

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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

David Mack

Octavian

David Mack is a founder and machine learning engineer at Octavian.ai, exploring new approaches to machine learning on graphs. Previously, he cofounded SketchDeck, a Y Combinator-backed startup providing design as a service. He holds an MSci in mathematics and the foundations of computer science from the University of Oxford and a BA in computer science from the University of Cambridge.