Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction
The prediction of material properties is a crucial challenge in the design of new materials. Traditional methods based on either trial-and-error experiments or large-scale density functional theory calculations are known to possess various limitations. Although recent machine learning (ML) methods h...
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Main Authors: | Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/ad9fcf |
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