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.)

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.