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Lingsheng Cai

2 accepted papers

2021

Conformation-Guided Molecular Representation with Hamiltonian Neural Networks

ICLR 2021poster

Well-designed molecular representations (fingerprints) are vital to combine medical chemistry and deep learning. Whereas incorporating 3D geometry of molecules (i.e. conformations) in their representations seems beneficial, current 3D algorithms are still in infancy. In this paper, we propose a nove…

Cited by 26SourcePDFScholar
2021

Deep Molecular Representation Learning via Fusing Physical and Chemical Information

NeurIPS 2021poster

Molecular representation learning is the first yet vital step in combining deep learning and molecular science. To push the boundaries of molecular representation learning, we present PhysChem, a novel neural architecture that learns molecular representations via fusing physical and chemical informa…

Cited by 31SourcePDFScholar