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Intelligent systems and knowledge graphs (Practical AI #65)
There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.
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Featuring
- James Fletcher – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- Grakn Labs
- GraphSAGE
- Prologue
- Graph Nets (TensorFlow)
- Grakn KGLIB
- Grakn example projects and tutorials
- Grakn Blog
Something missing or broken? PRs welcome!