2 papers
cs.AI2025
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
Lingzhi Wang, Pengcheng Huang, Haotian Li +6
Knowledge graphs (KGs) serve as fundamental structures for organizing interconnected data across diverse domains. However, most KGs remain incomplete, limiting their effectiveness…
cs.LG2021
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
Haotian Li, Hongri Liu, Yao Wang +2
Knowledge graphs (KGs), as structured representations of real world facts, are intelligent databases incorporating human knowledge that can help machine imitate the way of human pr…