2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
Linlin Chao, Xiexiong Lin, Taifeng Wang +1
Knowledge graph (KG) embedding methods which map entities and relations to unique embeddings in the KG have shown promising results on many reasoning tasks. However, the same embed…
cs.CL2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Linlin Chao, Jianshan He, Taifeng Wang +1
Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex…
cs.AI2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han, Zhichun Wang, Jiangtao Zhang +22
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation…