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pro vyhledávání: '"Soni, Pratham N."'
Representing and reasoning about 3D structures of macromolecules is emerging as a distinct challenge in machine learning. Here, we extend recent work on geometric vector perceptrons and apply equivariant graph neural networks to a wide range of tasks
Externí odkaz:
http://arxiv.org/abs/2106.03843
Publikováno v:
In Patterns 14 January 2022 3(1)
Autor:
Soni PN; Department of Computer Science, Stanford University, Stanford, CA, USA., Shi S; School of Medicine, Stanford University, Stanford, CA, USA., Sriram PR; Department of Computer Science, Stanford University, Stanford, CA, USA., Ng AY; Department of Computer Science, Stanford University, Stanford, CA, USA., Rajpurkar P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Publikováno v:
Patterns (New York, N.Y.) [Patterns (N Y)] 2021 Dec 07; Vol. 3 (1), pp. 100400. Date of Electronic Publication: 2021 Dec 07 (Print Publication: 2022).