A review of knowledge graph embedding methods of TransE, TransH and TransR for missing links

• Main Authors: Salwana, Mohamad, Noor Azida, Sahabudin, Nor Syahidatul Nadiah, Ismail, Ily Amalina, Ahmad Sabri
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/40733/1/A%20Review%20of%20Knowledge%20Graph%20Embedding%20Methods.pdf; http://umpir.ump.edu.my/id/eprint/40733/2/A%20review%20of%20knowledge%20graph%20embedding%20methods%20of%20TransE.pdf; http://umpir.ump.edu.my/id/eprint/40733/; https://doi.org/10.1109/ICSECS58457.2023.10256354

Knowledge representation and reasoning require knowledge graph embedding as it is crucial in the area. It involves mapping entities and relationships from a knowledge graph into vectors of lower dimensions that are continuous in nature. This encoding enables machine learning algorithms to effectivel...