This paper, aiming at the overall formal representation and construction framework of knowledge graph, makes clear the specific representation mode of pattern ...
Abstract—As a structured semantic knowledge system, knowledge graph mainly uses symbols to present physical concepts in real life, which involves three ...
Study on the Construction Method of Requirement Knowledge Atlas Based on Graph Neural Network · Computer Science. 2021 IEEE 4th International Conference on…
Oct 22, 2024 · In this paper, we propose SaGCN, a Structure-aware Graph Convolution Network, extracting relation with explicit and implicit dependency ... [ ...
Missing: Atlas | Show results with:Atlas
The typical methods include structured embedding representation models, tensor neural network models, matrix decomposition methods, and translation models.
Nov 18, 2024 · This study proposes a method for knowledge extraction and knowledge graph construction based on graph attention neural networks (GAT).
Graph Neural Networks (GNNs) have emerged as a promising solution for effectively handling non-Euclidean data in construction, including building information ...
Missing: Atlas | Show results with:Atlas
This article proposes a learning resource accurate recommendation model based on the knowledge graph under deep learning.
This study proposes a novel resource KG construction method for IMaaS. First, an ER diagram is used to divide the constant and variable entities.
People also ask
What is the knowledge graph construction process?
What is gated graph neural network?
Is a knowledge graph a neural network?
Jul 30, 2024 · Based on what I have read, graph databases face a ton of criticism because of performance issues and the difficulty of creating effective schemas.