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Found 2 papers, 1 papers with code
Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws
In this paper, a dataset of one-dimensional powder diffraction patterns was designed with new strategy to train Convolutional Neural Networks for predicting space groups.
Data Imputation with Iterative Graph Reconstruction
Instead of treating all samples equally, we introduce the concept: ``friend networks" to represent different relations among samples.
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