Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Relational data has become increasingly important in decision analysis in recent years, and so mining knowledge which preserves relationships between objects is an important topic. Graphs can ...

Opinions expressed by Entrepreneur contributors are their own. The biggest benefits to conducting customer behavior analysis are customer satisfaction and, in turn, revenue. The more satisfied ...

How to use knowledge graphs to improve customer experience — digging into the healthcare example. Knowledge graphs are well known to the Pharma industry, and their power has been utilized for many ...

Michael Podolsky, Co-founder and CEO of PissedConsumer, a review platform that helps consumers be heard and brands improve their service. I often emphasize in my writing why customer satisfaction is ...

For most of us, the word graph brings back memories (not always pleasant) of pencils and rulers and quadrille ruled paper, though a more recent generation may think instead of pie and bar charts ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...