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A Deep Graph Network-Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins.
Front Mol Biosci. 2021 Apr 29;8:637396. doi: 10.3389/fmolb.2021.637396. eCollection 2021.
Front Mol Biosci. 2021.
PMID: 33996896
Free PMC article.
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark.
Carta A, Cossu A, Errica F, Bacciu D.
Carta A, et al. Among authors: errica f.
Front Artif Intell. 2022 Feb 4;5:824655. doi: 10.3389/frai.2022.824655. eCollection 2022.
Front Artif Intell. 2022.
PMID: 35187476
Free PMC article.
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A gentle introduction to deep learning for graphs.
Bacciu D, Errica F, Micheli A, Podda M.
Bacciu D, et al. Among authors: errica f.
Neural Netw. 2020 Sep;129:203-221. doi: 10.1016/j.neunet.2020.06.006. Epub 2020 Jun 11.
Neural Netw. 2020.
PMID: 32559609
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Self-tuning Hamiltonian Monte Carlo for accelerated sampling.
Christiansen H, Errica F, Alesiani F.
Christiansen H, et al. Among authors: errica f.
J Chem Phys. 2023 Dec 21;159(23):234109. doi: 10.1063/5.0177738.
J Chem Phys. 2023.
PMID: 38108481
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