Nov 27, 2023 · We propose a novel method of KG embeddings (KGE) for link prediction, called QuatGAT, combining the graph attention mechanism with quaternion embeddings.
A Graph Neural Network for Ship Link Prediction Based on Graph Attention Mechanism and Quaternion Embedding · Zhou, Jiaqi · Yu, Wenxian · Zhang, Jing · Mu, Siyuan ...
A Graph Neural Network for Ship Link Prediction Based on ... - IEEE Xplore
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This letter presents a novel method of KGE based on a graph attention mechanism and quaternion embeddings for the link prediction task and an MMKG of ...
This paper proposes a novel attention-based feature embedding that captures both entity and relation features in any given entity's neighborhood and ...
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We propose a new method to learn heuristics from local subgraphs using a graph neural network (GNN). Its experimental results show unprecedented performance.
Missing: Ship Attention Mechanism Quaternion Embedding.
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Here we present a novel binding site prediction method called Graph Attention Site Prediction (GrASP) and re-evaluate assumptions in nearly every step in the ...
Graph attention networks is a popular method to deal with link prediction tasks, but the weight assigned to each sample is not focusing on the sample's own ...
In this paper, we provide a comprehensive survey on KG-embedding models for link prediction in knowledge graphs.
The folder contains example implementations of selected research papers related to Graph Neural Networks. Note that the examples may not work with incompatible ...
Missing: Ship Quaternion
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This architecture integrates self-attention mechanisms with advanced neural network technologies, including Convolutional Neural Network (CNN) and Graph Neural ...