☆ 4.7 Article

OERL: Enhanced Representation Learning via Open Knowledge Graphs

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2023)

Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs

Qian Li et al.

Summary: This article introduces a novel global graph attention embedding network (GGAE) for relation prediction, which combines global information from both direct neighbors and multihop neighbors to obtain better embeddings of entities and relations. The model utilizes path construction algorithms, path modeling methods, and graph attention mechanisms to capture information from neighbors at different distances, enhancing the comprehensive semantic information of entities and relations.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods