Monica Agrawal

Modeling polypharmacy side effects with graph convolutional networks

Marinka Žitnik, Monica Agrawal, Jure Leskovec · Bioinformatics · 2018 · 1.4K citations · Full text

Life Sciences, Bioinformatics, Pharmacology +17

Large language models are few-shot clinical information extractors

Monica Agrawal, Stefan Hegselmann, Hunter Lang et al. · 2022 · 297 citations · Full text

Computing, Clinical Sciences, Biomedical Text Mining +16

Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Benjamin Birnbaum, Nathan C. Nussbaum, Katharina Seidl-Rathkopf et al. · arXiv (Cornell University) · 2020 · 204 citations · Full text

Computing, Biomedical Informatics, Health Informatics +17

Modeling Polypharmacy Side Effects with Graph Convolutional Networks

Marinka Žitnik, Monica Agrawal, Jure Leskovec · bioRxiv (Cold Spring Harbor Laboratory) · 2018 · 72 citations · Full text

Life Sciences, Bioinformatics, Pharmacology +17

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Stefan Hegselmann, Alejandro Buendia, Hunter Lang et al. · arXiv (Cornell University) · 2022 · 50 citations · Full text

Computing, Computer Science, Computational Linguistics +14