17 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.AI2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
Kai Wang, Siqiang Luo, Dan Lin
We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning. For the first time, we link the path redundancy issue in the state-of-the-art K…
cs.AI2021
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu, Dan Lin +1
Recent knowledge graph embedding (KGE) models based on hyperbolic geometry have shown great potential in a low-dimensional embedding space. However, the necessity of hyperbolic spa…
cs.CL2018★ 17 cited
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Kai Wang, Yu Liu, Xiujuan Xu +1
Knowledge Graph Embedding (KGE) aims to represent entities and relations of knowledge graph in a low-dimensional continuous vector space. Recent works focus on incorporating struct…