Author

Monica Agrawal

Stanford UniversityORCID 0009-0003-5116-2819Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Jure LeskoveciD· 2 shared Marinka ŽitnikiD· 2 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Jure LeskovecORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedApr 12, 2018

Modeling polypharmacy side effects with graph convolutional networks

Marinka Žitnik, Monica Agrawal, Jure Leskovec

The paper introduces Decagon, a graph convolutional network that predicts polypharmacy side effects by modeling drug interactions and side effects as a multimodal graph, achieving up to 69% better performance than baselines.

1,502 citationstop 1%

graph neural networkdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsPacific Symposium on Biocomputing (PSB)Peer-reviewedNov 17, 2017

Large-Scale Analysis of Disease Pathways in the Human Interactome

Monica Agrawal, Marinka Žitnik, Jure Leskovec

The paper analyzes 519 disease pathways in the human interactome, finding that most do not form single connected components and that existing methods struggle with disconnected pathways.

108 citationstop 1%

humanprotein structure

𝕏 PostBluesky