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Found 2 papers, 1 papers with code
Attention-wise masked graph contrastive learning for predicting molecular property
We developed a novel molecular graph augmentation strategy, referred to as attention-wise graph mask, to generate challenging positive sample for contrastive learning.
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
We evaluated our method on three independent datasets and the experimental results showed that our proposed method outperformed six existing state-of-the-art methods.
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