Llm, Knowledge Graph, Inference, Llmops, AI.
capture the rich semantics and complex relational patterns present in knowledge graphs. Examples include: Tensor Factorization Models (TuckER, m-CP) Hyperbolic Embeddings (MuRP, RotatE) Geometric Embeddings (RefE, BoxE) Contextualized Knowledge Graph Embeddings: Develop techniques to learn