Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion. (arXiv:2203.11639v2 [cs.CL] UPDATED)

Recent years have witnessed increasing interest in few-shot knowledge graph
completion (FKGC), which aims to infer unseen query triples for a few-shot
relation using a few reference triples about the relation. The primary focus of
existing FKGC methods lies in learning relation representations that can
reflect the common information shared by the query and reference triples. To
this end, these methods learn entity-pair representations from the direct
neighbors of head and tail entities, and then aggregate the representations of
reference …

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