February 16, 2020

188 words 1 min read

An introduction to machine learning on graphs

An introduction to machine learning on graphs

Graphs are a powerful way to represent knowledge. 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.
Talk Title An introduction to machine learning on graphs
Speakers David Mack (Octavian)
Conference Strata Data Conference
Conf Tag Make Data Work
Location New York, New York
Date September 24-26, 2019
URL Talk Page
Slides Talk Slides
Video

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.

introduction finance isp machine learning
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