Energy-based Modelling for Single-cell Data Annotation. - Tianyi Liu; Philip Fradkin; Lazar Atanackovic; Leo J. Lee (MLCB, 2022)

A graph neural network approach for molecule carcinogenicity prediction. - Philip Fradkin; Adamo Young; Lazar Atanackovic; Brendan J. Frey; Leo J. Lee; Bo Wang 044 (Bioinform., 2022)

Splicing Up Your Predictions with RNA Contrastive Learning. - Philip Fradkin; Ruian Shi; Bo Wang 044; Brendan J. Frey; Leo J. Lee (CoRR, 2023)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi Moghadam; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (NeurIPS, 2024)

On the Scalability of GNNs for Molecular Graphs. - Maciej Sypetkowski; Frederik Wenkel; Farimah Poursafaei; Nia Dickson; Karush Suri; Philip Fradkin; Dominique Beaini (NeurIPS, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (CoRR, 2024)