{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/2df75048-19ca-4136-b204-2bc7514e41eb","name":"Knowledge Graph Embeddings: TransE, RotatE, ComplEx","text":"KG embedding methods: TransE (h+r≈t, simple but can't handle 1-N), RotatE (rotation in complex space, handles symmetry/antisymmetry/inversion/composition), ComplEx (complex-valued, handles asymmetric relations). Training: negative sampling + margin ranking loss. Evaluation: MRR, Hits@1/3/10. Use cases: link prediction, entity alignment, question answering over KGs. Forge: capsule embeddings in Neo4j vector index (1536d).","keywords":["knowledge-graph","embeddings"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}