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Philip Fradkin

2 accepted papers

2024

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

NeurIPS 2024poster

Predicting molecular impact on cellular function is a core challenge in therapeutic design. Phenomic experiments, designed to capture cellular morphology, utilize microscopy based techniques and demonstrate a high throughput solution for uncovering molecular impact on the cell. In this work, we lear…

Cited by 2SourcePDFScholar
2024

On the Scalability of GNNs for Molecular Graphs

NeurIPS 2024poster

Scaling deep learning models has been at the heart of recent revolutions in language modelling and image generation. Practitioners have observed a strong relationship between model size, dataset size, and performance. However, structure-based architectures such as Graph Neural Networks (GNNs) are ye…

Cited by 12SourcePDFScholar