Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning.

In this paper we study the phenomenon of cospectrality in graphs by comparing characterizing properties of spectra of graphs and spectra of their line graphs. We present some arguments showing that ...

The road to competitive advantage and differentiation based on learning to think in graphs is going to be different for each company. But it is a road worth traveling.

Many graph experts disagree with Darryl Huff’s argument that the scales of all graphs must begin at zero. I discuss why the rule for bar graphs may differ from that for line graphs.

KS3 Maths Straight line graphs learning resources for adults, children, parents and teachers.