Unleashing Transformers for Knowledge Graphs

Knowledge graphs are like vast webs of interconnected facts that help AI systems make sense of relationships in real-world data. However, these graphs are often incomplete, which creates challenges when trying to infer missing connections between entities.

Now, a new method called KnowFormer revisits the power of transformers—AI models typically used for language tasks—and adapts them for the complex world of knowledge graphs.