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Knowledge graph-based graph neural network models for multi-perspective modeling of group preferences
The purpose of group recommendation is to recommend items that all users in a group may like; therefore, the modeling target of group recommendation...
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An assembly process planning pipeline for industrial electronic equipment based on knowledge graph with bidirectional extracted knowledge from historical process documents
Assembly is an essential stage in industrial electronic equipment manufacturing and needs to meet the complexity of manufacturing. Therefore, the...
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A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation
Event knowledge graph (EKG) is a method of representing real-world entities, events, their attributes, and the relations between them in a graph...
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Aic: an industrial knowledge graph with Abstraction-Instance-Capability reasoning abilities for personalized customization
In the era of the internet, people are increasingly interested in highly personalized customization, which has been leading the global industry to...
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Towards a knowledge graph framework for ad hoc analysis in manufacturing
The development of artificial intelligence models for data driven decision making has a lot of potential for the manufacturing sector. Nevertheless,...
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A performance evaluation method based on combination of knowledge graph and surrogate model
To satisfy the requirements of individual design and rapid performance evaluation of complex products, this paper proposes a hybrid approach to build...
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Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach
Nowadays, providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid...
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Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot
Text-to-GraphQL (Text2GraphQL) is a task that converts the user's questions into Graph + QL (Query Language) when a graph database is given. That is...
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Profiling temporal learning interests with time-aware transformers and knowledge graph for online course recommendation
Profiling users’ temporal learning interests is key to online course recommendation. Previous studies mainly profile users’ learning interests by...
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Research on Emergency Logistics Decision Platform Based on Knowledge Graph
China’s geographical location is unique, and natural calamities occur frequently. In 2021, a total of 107 million people suffered from various...
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Visibility graph and graph convolution networks-based segmentation of carbon emission in China
Carbon emissions drive climate change. Especially with the rapid development of economy, carbon emissions are increasing in recent years, and the...
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Research on Knowledge Graph Platform of Logistics Industry Based on Big Data
China's logistics industry started late, with the rapid development of the national economy, China's logistics industry maintains a fast growth rate,...
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A knowledge graph approach for recommending patents to companies
Online platforms have emerged to facilitate patent transfer between academia and industry, but a recommendation method that matches patents with...
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Technology Roadmap** Approach Based on Engineering Science, Technology Knowledge Graph, and Expert Interaction
Technology roadmap** is an effective strategic management method. However, in making and implementing science and technology innovation policies in...
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A Knowledge-Graph Based Integrated Digital EA Maturity and Performance Framework
Digitalisation is gaining considerable attention from enterprises aiming to improve their maturity and performance using digital enterprise...
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Contextual Multi-View Graph Community Detection Using Graph Neural Networks
In the last years, in order to better accommodate the increase of data volume and complexity, different data types have been presented. One of the...
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TGV: A Visualization Tool for Temporal Property Graph Databases
Graph databases are increasingly being used in the data science field, in particular to represent different kinds of networks. In real-world...
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A Knowledge Graph to Digitalise Functional Resonance Analyses in the Safety Area
We present the backbone of a knowledge graph to support the next generation of functional resonance analyses in the safety area by means of automatic...
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Knowledge Graph-Based Construction Accidents Detection and Hazard Correction System
The domain essential elements, historical data, and other project information of construction safety are scattered and mixed. A terrific amount of...