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Scalable deeper graph neural networks for high-performance materials property prediction., , , , , , , and . CoRR, (2021)Discovery of 2D materials using Transformer Network based Generative Design., , , and . CoRR, (2023)Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning., , , , , and . IEEE Access, (2019)Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning., , , , , , and . Symmetry, 12 (2): 262 (2020)Generative Design of inorganic compounds using deep diffusion language models., , , and . CoRR, (2023)Materials Property Prediction with Uncertainty Quantification: A Benchmark Study., , , and . CoRR, (2022)Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study., , , , and . CoRR, (2024)Crystal structure prediction of materials with high symmetry using differential evolution., , , , and . CoRR, (2021)Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees., , , , , , and . IEEE Access, (2020)Scalable deeper graph neural networks for high-performance materials property prediction., , , , , , , and . Patterns, 3 (5): 100491 (2022)