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

Financial AI is often criticized for being biased—rejecting loans based on gender or credit reputation by ethnicity, or geography. Causal AI eliminates these filtered-out non-causal predictors, ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

A study led by Jun Cheng from Xiamen University and collaborators introduces a new workflow for recommending relay catalysis pathways. The workflow uses large language models (LLMs) to extract and ...

A little bit about RelationalAI — we are a relational knowledge graph, hence the word “relational” in our name. It’s a knowledge graph that is brought directly to the data cloud.

Reprint: R0707N In an economy where the only certainty is uncertainty, the one sure source of lasting competitive advantage is knowledge. Yet, few managers understand the true nature of the ...

How to Graph a Demand Schedule It can be useful to graph a demand and supply schedules for a visual representation of the market for a particular product.

Every day, at almost every company, strategy is being hijacked by numbers. Because strategy is abstract, employees often mentally replace it with the hard metrics meant to assess whether the ...

A commodity market is a physical or virtual marketplace for buying, selling, and trading commodities. Discover how investors profit from the commodity market.