Xiang Zhu

DcKE: A Dual Encoder-decoder Knowledge Embedding Model for Link Prediction

2024

Knowledge Graph Embedding (KGE) is a powerful technique for predicting missing links in knowledge graphs. Current mainstream research primarily focuses on Transformer-based language pre-training models and graph neural network models. However, these models suffer from …