Cross-Domain Molecular Relational Learning: Leveraging Chemical Structure-Activity Analysis

In three linesDisTrans, a domain adversarial training network, optimizes cross-domain molecular relational learning by integrating topological structures and visual modalities. Using gradient reversal and semantic alignment of functional groups, the method outperforms 16 baselines across two cross-domain strategies.

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