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 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.

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

Language agnostic document processing: Finding relations using statistics, machine learning, and graphs Would you like to be able to find related work regardless of domain or language, more ...

This shows that a consensus for using certain types of graphics, which lack data credibility, has developed in the applied linguistics field, namely the bar plot and the line graph. The final section ...