A multi-modal molecular pretraining framework using autoencoders, hypergraph convolution, and a memory bank reports state-of-the-art ROC-AUC and RMSE on MoleculeNet benchmarks.
Divide-and-conquer learning with nystr ¨om: Optimal rate and algorithm,
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Multi-Modal Molecular Representation Learning via Structure Awareness
A multi-modal molecular pretraining framework using autoencoders, hypergraph convolution, and a memory bank reports state-of-the-art ROC-AUC and RMSE on MoleculeNet benchmarks.