2022
DOI: 10.1021/acsomega.2c00317
|View full text |Cite
|
Sign up to set email alerts
|

Machine Learning Approach to Community Detection in a High-Entropy Alloy Interaction Network

Abstract: There is a growing trend toward the use of interaction network methods and algorithms, including community-based detection methods, in various fields of science. The approach is already used in many applications, for example, in social sciences and health informatics to analyze behavioral patterns during the COVID-19 pandemic, protein–protein networks in biological sciences, agricultural science, economy, and so forth. This paper attempts to build interaction networks based on high-entropy alloy (HEA) descript… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…Hence in this study, we designed a new approach for predicting the guest accessibility of any MOF by applying a node classification algorithm using graph convolutional networks (GCNs) on a MOF social network, MOFGalaxyNet, created from a social analysis of the metal ions and organic ligands. Social network analysis (SNA) was initially established in the field of social sciences [ 12 , 13 ] but has been expanded to health informatics [ 14 17 ], agriculture [ 18 ], life sciences [ 19 , 20 ], economy [ 21 , 22 ], and materials science [ 23 , 24 ]. Graphs are now becoming ubiquitous because of their ability to model complex systems of various kinds, requiring only little adaption to a specific case.…”
Section: Introductionmentioning
confidence: 99%
“…Hence in this study, we designed a new approach for predicting the guest accessibility of any MOF by applying a node classification algorithm using graph convolutional networks (GCNs) on a MOF social network, MOFGalaxyNet, created from a social analysis of the metal ions and organic ligands. Social network analysis (SNA) was initially established in the field of social sciences [ 12 , 13 ] but has been expanded to health informatics [ 14 17 ], agriculture [ 18 ], life sciences [ 19 , 20 ], economy [ 21 , 22 ], and materials science [ 23 , 24 ]. Graphs are now becoming ubiquitous because of their ability to model complex systems of various kinds, requiring only little adaption to a specific case.…”
Section: Introductionmentioning
confidence: 99%