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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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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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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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Graph Databases
This chapter identifies graph databases as the next step in knowledge management technology alongside knowledge graphs, as they drive many modern AI...
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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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A Scientometric and Social Network Analysis of the Literature on the Graph Model for Conflict Resolution
Over the 35 years of its existence, the Graph Model for Conflict Resolution (GMCR) has shown to be a valuable tool for conflict analysis. Many...
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Blockchain in a Maintenance Database
Nowadays, data management is part of the maintenance management. Organizations are now gathering a diverse range of data, including information from...
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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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Triangle width problem: at the intersection of graph theory, scheduling, and matrix visualization
This paper addresses the triangle width problem , which generalizes the classic two-machine flexible job-shop problem (FJSP) with tooling constraints....
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Prescriptive graph analytics on the digital transformation in healthcare through user-generated content
As they swiftly evolve and become widely adopted, new technologies are fundamentally transforming the landscape of business models. Digital...
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Attack detection and mitigation using Intelligent attack graph model for Forensic in IoT Networks
This article focuses on the urgent cybersecurity concerns in the Internet of Things (IoT) environment, highlighting the crucial importance of...
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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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A proposal for future data organization in enterprise systems—an analysis of established database approaches
The digital transformation sets new requirements to all classes of enterprise systems in companies. ERP systems in particular, which represent the...
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Speedup the optimization of maximal closure of a node-weighted directed acyclic graph
The maximal closure optimization problem of a node-weighted graph is a super class of the optimal monotonic Boolean function problem. It is known...
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Securing blockchain-based crowdfunding platforms: an integrated graph neural networks and machine learning approach
Blockchain-based crowdfunding is a form of crowdfunding that uses blockchain technology to facilitate the fundraising process. Blockchain technology...
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What Can Database Query Processing Do for Instance-Spanning Constraints?
In the last decade, the term instance-spanning constraint has been introduced in the process mining field to refer to constraints that span multiple...
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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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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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The Importance of Graph Databases in Detection of Organized Financial Crimes
This paper aims to reveal how important and irreplaceable graph databases are in discovering and preventing organized financial crimes, with their...
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