Article

Cross-modal Graph Contrastive Learning with Cellular Images

2023-06-14

Abstract excerpt

<title>Abstract</title> <p>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 (GNNs) and self-supervised learning (SSL) to learn the structural representations from unlabeled data, which can then be fine-tuned for downstream tasks. Albeit powerful, these methods that...

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Literature Corpus work: b0c98f9f-ab01-55cb-bef3-6f52486e5daf
DOI: 10.21203/rs.3.rs-2928545/v1

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