A Beginner's Guide to Graph Analytics and Deep Learning

Graphs are networks of dots and lines. Graphs are data structures that can be ingested by various algorithms, notably neural nets, learning to perform tasks such as classification, clustering and regression. TL;DR: here's one way to make graph data ingestable for the algorithms: The result will be vector representation of each node in the graph with some information preserved. Once you have the real number vector, you can feed it to the neural network. The simplest definition of a graph is "a collection of items connected by edges."