Article

Cross-modal Graph Contrastive Learning with Cellular Images

2022-06-06

Abstract excerpt

Constructing discriminative representations of molecules lies at the core of a number of domains such as drug discovery, material science, and chemistry. 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 are pre-trained sol...

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Literature Corpus work: 44f03f51-5783-5c55-a99b-63b23a288f59
DOI: 10.1101/2022.06.05.494905

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