1.2.4 AI for Knowledge Graphs

Course subject(s) Module 1: AI in Practice: Preparing for AI

Daniel Daza, PhD candidate on representation learning for graphs, and kowledge graph extraction from text at the Vrije Universiteit Amsterdam and in the Discovery Lab of the Vrije Universiteit and Elsevier presents a use case around AI for knowledge graphs.

This video lesson is based on two research papers:

One by the Discovery Lab: Daza, Daniel, and Michael Cochez. Message Passing Query Embedding. ICML 2020 Workshop on Graph Representation
Learning and Beyond.
And previous work from Stanford University: Hamilton, Will, et al. Embedding logical queries on knowledge graphs. Advances in neural information processing systems. 2018.

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