tl;dr: This lecture covers a family of knowledge graph embeddings based on multiplicative or factor models. We will start by revisiting matrix factorization techniques such as Singular value decomposition (SVD) and then learn thoroughly about factorization of the knowledge graph tensor.
🎓 Lecturer: Soumen Chakrabarti [https://www.cse.iitb.ac.in/~soumen/]
🔗 Get the Book: https://tanmoychak.com/llmbook
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Lec 33 | Knowledge and Retrieval: Multiplicative models | NatokHD