Knowledge Graphs and Graph Networks

Knowledge Graphs

Enormous info dump coming here. I'm going to try to organize it as best I can - there is a lot to cover.

Some topics I'll cover:

  • Graph theory from a mathematical perspective
  • Structuring data as a graph
  • Algorithms for working with graphs (e.g. traversals, shortest paths, etc.)
  • Graph neural networks, transformers, and other ML models for graphs. This c∑ould be using a graph part of the architecture or as an interaction with a graph.
  • Graph db's and other tools for working with graphs
  • Graph visualization (lots of fun pretty pictures and animations)
  • Using AI to augment graph data (e.g. link prediction, node classification, etc.)

Public Knowledge Graphs

See also Semantic Web.