Keywords
structural
Abstract
This review examines graph transfer for functional hydrogels and molecular systems through an evidence-centered design lens. The analysis asks how representation transfer should respect chemical mechanisms. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to spurious molecular similarity driving design claims. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports materials informatics while distinguishing component promise from system readiness.
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