Dynamic dual quaternion knowledge graph embedding
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
... embeddings, while NBFNet and AdaProp use dynamic entity representations ... Knowledge Graph Completion [4] Dual Quaternion Knowledge Graph Embeddings ...
Yongjie Shi | Papers With Code
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy ... Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings ...
RiQ-KGC: Relation Instantiation Enhanced Quaternionic Attention ...
Knowledge Graph Embedding via Dynamic Mapping Matrix. In Proceedings of the ... Dual Quaternion Knowledge Graph Embeddings. In Proceedings of the AAAI ...
Embedding Knowledge Graphs in Degenerate Clifford Algebras
Dual quaternion methods like DualE [4] use dual quaternions [15] to embed enti- ties and relations, offering a representation that combines the advan- tages of ...
Knowledge Graph Embedding via Triplet Component Interactions
... Knowledge graph embedding via dynamic mapping matrix. In ... Quaternion knowledge graph embeddings. In: Advances in neural information ...
Graph Embedding | Papers With Code
... learning on dynamic graphs. 1. Paper · Code · Semi-Supervised Graph ... Quaternion Knowledge Graph Embeddings. cheungdaven/QuatE • • NeurIPS 2019. In ...
Dynamic Quaternion Embedding for Knowledge Graph Completion
05/19/21 - In recent years, knowledge graph completion methods have been extensively studied, in which graph embedding approaches learn low ...
2019) embeds each element using quaternions. 2.2 Temporal Embeddings. There has been a wide range of approaches to the prob- lem of temporal link prediction ...
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph ...
In recent years, knowledge graph completion methods have been extensively studied, in which graph embedding approaches learn low dimensional ...
arXiv_CV Embedding Relation Knowledge Pose Zero-Shot Matching. Abstract ... To address these issues, we propose a novel dyNamically Evolving dUal ...