Overview of Machine Learning for Knowledge Graphs

Time: Thursday 24-Sept-2020 23:30 (This is a past event.)


Artifacts

Motivation / Abstract
This session will give an overview of machine learning in knowledge graph, areas of applications and current state of the art methods. We will mainly draw materials from two overview papers: A Survey on Knowledge Graphs: Representation, Acquisition and Applications by Ji et al and Knowledge Graphs by Hogan et al, both published in 2020.
Stream Categories:
 Graph Neural Nets