# 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

- wikidata - a free and open knowledge base that can be read and edited by both humans and machines.
- dbpedia - a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects.
- Claims Knowledge Graph as a knowledge graph of claims with sparql query editor for fact-checking.

See also Semantic Web.