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Paragraph vector based topic model for language model adaptation.

, , , and . INTERSPEECH, page 3516-3520. ISCA, (2015)

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Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design., , , and . ICLR, OpenReview.net, (2022)Graph and Geometry Generative Modeling for Drug Discovery., , , , , and . KDD, page 5833-5834. ACM, (2023)Junction Tree Variational Autoencoder for Molecular Graph Generation., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2328-2337. PMLR, (2018)Functional Transparency for Structured Data: a Game-Theoretic Approach., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3723-3733. PMLR, (2019)Graph Representation Learning for Drug Discovery.. Massachusetts Institute of Technology, USA, (2021)Multi-Objective Molecule Generation using Interpretable Substructures., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4849-4859. PMLR, (2020)Paragraph vector based topic model for language model adaptation., , , and . INTERSPEECH, page 3516-3520. ISCA, (2015)Analyzing Learned Molecular Representations for Property Prediction., , , , , , , , , and 5 other author(s). J. Chem. Inf. Model., 59 (8): 3370-3388 (2019)Composing Molecules with Multiple Property Constraints., , and . CoRR, (2020)Antibody-Antigen Docking and Design via Hierarchical Structure Refinement., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 10217-10227. PMLR, (2022)