A naukri.com initiative
Arxiv
1d
151
Image Credit: Arxiv
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
- Most knowledge graph embedding (KGE) methods focus on entities and relations, neglecting literal values.
- ReaLitE is a relation-centric KGE model that dynamically merges entities' numerical attributes with relation embeddings.
- ReaLitE outperforms existing methods in link prediction and node classification tasks.
- It supports various numerical aggregations, including a learnable method.
Read Full Article
9 Likes
For uninterrupted reading, download the app