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Drug-target relation prediction supports candidate screening, drug repositioning, and mechanism analysis. Existing models often use incomplete drug or protein representations, model cross-modal interactions shallowly, or train affinity regression and interaction classification separately, although these tasks describe...
Sketch2Inspire provides a diagnostic resource for evaluating modality contribution and supports the development of structure-aware product-retrieval protocols with independent human annotation and shows that the retrieval gain from multimodal input depends on how relevance is defined.
The key idea is to stabilize multimodal interaction by jointly modeling adaptive fusion dynamics and representation geometry constraints by introducing a Dynamic Cross-Modal Attention mechanism that adaptively reweights modality contributions conditioned on sample-specific context, mitigating modality dominance.
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