While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Deep learning models can accurately predict molecular properties and help making the search for potential drug candidates faster and more efficient. Many existing methods are purely data driven, ...

A mold design knowledge representation framework combining the BERT model and knowledge graphs is constructed to effectively extract and manage design knowledge. Through experimental validation, the ...

Knowledge graph-based tools can support group learning online and help educators bring useful links with social media into their courses Social media can be a valuable learning resource for business ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...