RelDiff
RelDiff
RelDiff generates entity-relation-entity embeddings in a single embedding space. RelDiff adopts two fundamental vector algebraic operators to transform entity and relation embeddings from knowledge graphs into entity-relation-entity embeddings. In particular, RelDiff can encode finer-grained information about the relations than is captured when separate embeddings are learned for the entities and the relations.
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification
https://paperswithcode.com/paper/reldiff-enriching-knowledge-graph-relation
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification