QuantSpin and DIVBIO utilize quantum circuits with classical neural networks for GLP-1R drug activity prediction.
A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based ...
A new open-access study reports that fusing attribute features with graph structure and training classifiers collaboratively ...
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