Knowledge graph completion method for hydraulic engineering coupled with spatial transformation and an attention mechanism

Knowledge graph completion method for hydraulic engineering coupled with spatial transformation and an attention mechanism

In response to the limited capability of extracting semantic information in knowledge graph completion methods, we propose a model that combines spatial transformation and attention mechanisms (STAM) for knowledge graph embedding. Firstly, spatial transformation is applied to reorganize entity embed...

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Bibliographic Details
Main Authors:	Yang Liu, Tianran Tao, Xuemei Liu, Jiayun Tian, Zehong Ren, Yize Wang, Xingzhi Wang, Ying Gao
Format:	Article
Language:	English
Published:	AIMS Press 2024-01-01
Series:	Mathematical Biosciences and Engineering
Subjects:	hydraulic engineering knowledge graph knowledge graph completion multi-scale channel attention mechanism spatial transformation convolutional neural network
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2024060?viewType=HTML

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