Knowledge graph embedding (KGE) is an effective method for link prediction in knowledge graphs, with numerous models demonstrating significant success. However, many existing KGE models struggle to ...

The uncertainty of structural interpretation complicates the practical production and application of data-driven complex geological structure modeling technology. Intelligent structural modeling ...

We are in an exciting era where AI advancements are transforming professional practices. Since its release, GPT-3 has “assisted” professionals in the SEM field with their content-related tasks.

Figure 1. Flowchart of the MediHerb model. (A) Input stage: multi-modal encoders represent the main ingredient of each herb using chemical, structural, physiological, and textual features; (B) Fusion ...

Convr® today unveiled the Convr Risk Context Engine (RCE), the industry's first knowledge graph and semantic ontology built specifically for commercial property and casualty (P&C) underwriting.