fig8

Advances in graph neural networks for alloy design and properties predictions: a review

Figure 8. (A) Graph-neural architecture developed by Law for inorganic functional-materials prediction. Reproduced with permission from Ref.[51]. © 2022 The Authors; (B) SAGNN proposed by Cui. Reproduced with permission from Ref.[52]. © 2024 The Authors. SAGNN: Self-attention graph neural network.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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