Conclusions: This study highlights the significant challenges of knowledge graph generation in the specialized field of breast cancer and the need for LLMs trained with medical terminology to produce ...

More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning, Nature Biomedical Engineering (2025).

More insights into the E-E-A-T Knowledge Graph 2023 update, the evolution of Knowledge Panels and the importance of E-E-A-T signals.

Dive deep into the latest Knowledge Graph update's impact on person entities and how Google's focus on subtitles enhances E-E-A-T signals.

A breast cancer tumor’s size and location help determine the cancer’s stage. Learn how tumor sizes affect treatment and growth rate.

Knowledge graphs are key to making AI systems more intelligent, imbuing them with common sense. However, overlapping, competing, proprietary development is threatening work on knowledge graph ...

Knowledge graphs extract entities from unstructured data like full-text sources and connect those entities and their relationships into the knowledge graph.

Knowledge graphs are conceptual models of the world that map entities, their properties, and their relationships. The Cognaize Knowledge Graph, trained on various AI models for the graphical ...