Cross‐Modal Graph Contrastive Learning with Cellular Images
Shuangjia Zheng,
Jiahua Rao,
Jixian Zhang
et al.
Abstract:Constructing discriminative representations of molecules lies at the core of a number of domains such as drug discovery, chemistry, and medicine. State‐of‐the‐art methods employ graph neural networks and self‐supervised learning (SSL) to learn unlabeled data for structural representations, which can then be fine‐tuned for downstream tasks. Albeit powerful, these methods are pre‐trained solely on molecular structures and thus often struggle with tasks involved in intricate biological processes. Here, it is prop… Show more
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