Knowledge Graphs in Principle and Practice: Neural KGs and the Landscape of Meaning [3/8]
This episode covers Neural Knowledge Graphs, transitioning to statistical reasoning with geometric deep learning. It details Knowledge Graph Embeddings (KGE) models (TransE, RotatE), Graph Neural Networks (GNNs) (R-GCNs, GATs), and the theoretical limitations of GNNs.