Knowledge Graph Convolution Networks | Introducing Grakn Labs to the Bay Area

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

Past Locations for this Event

Knowledge Graph Convolution Networks | Introducing Grakn Labs to the Bay Area | Washington, D.C.

Washington, D.C. Campus

GA D.C.
509 7th Street NW, 3rd Floor
Washington D.C. 20004

Past Locations for this Event

About this event

As humans we use our knowledge, our reasoning and our understanding of situational context to make accurate predictions about the world around us; machine learning doesn’t typically make use of any of this rich information.

The ability to leverage highly interrelated data will yield a step-change in the quality and complexity of predictions that can be made for the same volume of data.

We present Knowledge Graph Convolutional Networks (KGCN): a method for performing machine learning over a Grakn Knowledge Graph, which captures micro-context and macro-context for any Concept within the graph.

Takeaways

  • How KGCN allows for the capture of micro-context and macro-context for any concept within a knowledge graph
  • Introduction to Knowledge Graphs within the context of Machine Learning

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