HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation

arXiv:2404.09848v1 Announce Type: cross
Abstract: In a hyper-relational knowledge graph (HKG), each fact is composed of a main triple associated with attribute-value qualifiers, which express additional factual knowledge. The hyper-relational knowledge graph completion (HKGC) task aims at inferring plausible missing links in a HKG. Most existing approaches to HKGC focus on enhancing the communication between qualifier pairs and main triples, while overlooking two important properties that emerge from the monotonicity of the hyper-relational graphs representation regime. Stage Reasoning allows for …

abstract arxiv cs.ai cs.lg express focus graph knowledge knowledge graph relational representation type value