Ming Yin

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

Representation learning on hyper-relational numeric knowledge graphs (HNKGs), which incorporate numeric entities and facts consisting of a primary triple augmented by attribute-value qualifiers, is crucial for advanced reasoning. However, most existing methods employ discretization or binning strategies, struggling to...