A model that aligns atoms in a crystal graph with words in a text description predicts material properties more accurately than graph-only or coarse fusion baselines.
Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties
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CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction
A model that aligns atoms in a crystal graph with words in a text description predicts material properties more accurately than graph-only or coarse fusion baselines.