SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers

15 February 2023

Papers citing "SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers"

5 / 5 papers shown

Title
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models Michael R. Maser Natasa Tagasovska Jae Hyeon Lee Andrew Watkins 31 0 0 20 Jun 2023
Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li Alexei A. Efros Deepak Pathak SSL 40 33 0 29 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 75 211 0 23 Jun 2022
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 164 678 0 10 Oct 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 162 1,766 0 02 Mar 2017