Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Combining graphs and machine learning has been getting a lot of attention lately, especially since the work published by researchers from DeepMind, Google Brain, MIT, and the University of Edinburgh.

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.

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization ...