Knowledge Graphs are a structured representation of knowledge that captures relationships between entities. They organise information in a way that allows machines to understand and reason about relationships in a graph-like structure. Knowledge graphs serve as valuable resources in Knowledge-Based Systems and help enable more intelligent decision-making.
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…