Knowledge Graphs and LoRA

Knowledge graphs are just like databases. They contain entities and relations, and they return triples to AI for inference, but we have to stress that relations are more important in knowledge graphs than in databases. And the graph structure is distinct, too.

I wonder if we can treat knowledge graphs like databases or vice versa.

LoRA is adding extra low-rank layers at the end. Adapters are adding layers in the middle.