Papers by Yuchu Qin
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion (2024.emnlp-main)
Copied to clipboard
| Challenge: | Existing approaches to knowledge graph completion have not integrated the structural attributes of knowledge graphs with the textual descriptions of entities to generate robust entity encodings. |
| Approach: | They propose to integrate structural information from knowledge graphs with textual descriptions of entities to generate robust entity encodings. |
| Outcome: | The proposed model improves on the standard evaluation metric, Mean Reciprocal Rank (MRR), while surpassing the current best model on the Wikidata5M dataset. |