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Structure-based Drug Design with Equivariant Diffusion Models.

, , , , , , , , , , , и . CoRR, (2022)

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Juan Du

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CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models., , , , и . CoRR, (2020)A new perspective on building efficient and expressive 3D equivariant graph neural networks., , , , , , , и . CoRR, (2023)Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning., , , и . CoRR, (2021)A Flexible Diffusion Model., , , и . CoRR, (2022)Path Integral Stochastic Optimal Control for Sampling Transition Paths., , , , , и . CoRR, (2022)Small molecule generation via disentangled representation learning., , , , и . Bioinform., 38 (12): 3200-3208 (2022)A Survey on Deep Graph Generation: Methods and Applications., , , , , , и . LoG, том 198 из Proceedings of Machine Learning Research, стр. 47. PMLR, (2022)Disentangled Spatiotemporal Graph Generative Models., , , , и . AAAI, стр. 6541-6549. AAAI Press, (2022)Interpretable Molecular Graph Generation via Monotonic Constraints., , , и . SDM, стр. 73-81. SIAM, (2022)Graph Representation Learning for Protein Conformation Sampling., , и . ICCABS, том 13254 из Lecture Notes in Computer Science, стр. 16-28. Springer International Publishing, (2021)