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Role of Structural and Conformational Diversity for Machine Learning Potentials., , , , , и . CoRR, (2023)Reconstructing the History of Syntenies Through Super-Reconciliation., , , , , , и . RECOMB-CG, том 11183 из Lecture Notes in Computer Science, стр. 179-195. Springer, (2018)Real-World Molecular Out-Of-Distribution: Specification and Investigation., , , , и . J. Chem. Inf. Model., 64 (3): 697-711 (2024)Evolution through segmental duplications and losses: a Super-Reconciliation approach., , , , , , и . Algorithms Mol. Biol., 15 (1): 12 (2020)GATC: a genetic algorithm for gene tree construction under the Duplication-Transfer-Loss model of evolution., и . BMC Genom., (2018)Gotta be SAFE: A New Framework for Molecular Design., , , , и . CoRR, (2023)Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling., , , и . CoRR, (2019)Efficient Non-Binary Gene Tree Resolution with Weighted Reconciliation Cost., , и . CPM, том 54 из LIPIcs, стр. 14:1-14:12. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)CoreTracker: accurate codon reassignment prediction, applied to mitochondrial genomes., , , , и . Bioinform., 33 (21): 3331-3339 (2017)Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning., и . CoRR, (2020)