KNOWLEDGE GRAPH CONVOLUTIONAL NETWORKS | Machine Learning over Knowledge Graphs
Details
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.
This methodology demonstrates how we can usably combine knowledge, learning and reasoning to build systems that start to look truly intelligent.
## 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
There will be beers, pizza, code, and most a certainly a good time!
## SPEAKER:
JAMES FLETCHER | Principal Scientist @ Grakn Labs
James is the Principal Scientist at Grakn Labs, primarily working on educating the world on how to use a knowledge graph such as Grakn to build cognitive/intelligent systems. For this, he is implementing examples as templates and ideas for how clients and community members can innovative in their own specific projects.
With a background in Computer Vision, having co-founded his own startup in veterinary diagnostics, James's priority is to research the new kinds of intelligent systems that are enabled by using Grakn as a knowledge graph.
## OUR FIRST ANNUAL GRAKN COSMOS | https://grakncosmos.com/sessions
Bringing together +35 thought leaders, experts and pioneers from across the #Cosmos to share their work in knowledge engineering - topics include but not limited to:
# Building a Cyber Security Intelligence Knowledge Management System Using Grakn
# Augmented Thinking - Knowledge Engineering in Innovation
# Grounding Conversational AI in a Knowledge Base
# Knowledge Graphs in Robotic Systems
## READ MORE ABOUT KGCN: http://bit.ly/grakn-kgcn