Neng Gao

Differential-Aware Synergy of Quantity and Topology for Hyper-Relational Knowledge Graphs with Numeric Entities

This work proposes NumDAE—a novel differential-aware decouple-then-synergize embedding framework for HNKGs that reconstruct numeric semantics based on the relational context to endow numeric entities with algebraic computability, effectively decoupling pure physical quantity from the entangled topological background.