Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. (arXiv:2209.01205v2 [cs.LG] UPDATED)

Knowledge graphs (KGs) are known for their large scale and knowledge
inference ability, but are also notorious for the incompleteness associated
with them. Due to the long-tail distribution of the relations in KGs, few-shot
KG completion has been proposed as a solution to alleviate incompleteness and
expand the coverage of KGs. It aims to make predictions for triplets involving
novel relations when only a few training triplets are provided as reference.
Previous methods have mostly focused on designing local neighbor …

arxiv graph hierarchical knowledge knowledge graph