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Marinka Zitnik

Showing results (11-20 of 99) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Mutual interactors as a principle for phenotype discovery in molecular interaction networksSabri Eyuboglu, Marinka Zitnik, Jure Leskovec
Nature Communications|March 20, 2021
Identification of disease treatment mechanisms through the multiscale interactomeCamilo Ruiz, Marinka Zitnik, Jure Leskovec
Plos One|June 12, 2019
Fast optimization of non-negative matrix tri-factorizationAndrej Čopar, Blaž Zupan, Marinka Zitnik
Nature Communications|July 1, 2018
Prioritizing network communitiesMarinka Zitnik, Rok Sosič, Jure Leskovec
Bioinformatics (Oxford, England)|June 29, 2018
Modeling polypharmacy side effects with graph convolutional networksMarinka Zitnik, Monica Agrawal, Jure Leskovec
Nature Computational Science|January 13, 2024
Population-scale identification of differential adverse events before and during a pandemicXiang Zhang, Marissa Sumathipala, Marinka Zitnik
Nature Biomedical Engineering|November 1, 2022
Graph representation learning in biomedicine and healthcareMichelle M Li, Kexin Huang, Marinka Zitnik
Arxiv|March 13, 2026
Greater than the Sum of Its Parts: Building Substructure into Protein Encoding ModelsRobert Calef, Arthur Liang, Manolis Kellis, et al.
Scientific Data|March 19, 2023
Evaluating explainability for graph neural networksChirag Agarwal, Owen Queen, Himabindu Lakkaraju, et al.
Biorxiv : the Preprint Server for Biology|April 28, 2025
ATOMICA: Learning Universal Representations of Intermolecular InteractionsAda Fang, Zaixi Zhang, Andrew Zhou, et al.
Pageof 10

Showing results (11-20 of 99) with videos related to

Sort By:
Pageof 10
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Mutual interactors as a principle for phenotype discovery in molecular interaction networksSabri Eyuboglu, Marinka Zitnik, Jure Leskovec
Nature Communications|March 20, 2021
Identification of disease treatment mechanisms through the multiscale interactomeCamilo Ruiz, Marinka Zitnik, Jure Leskovec
Plos One|June 12, 2019
Fast optimization of non-negative matrix tri-factorizationAndrej Čopar, Blaž Zupan, Marinka Zitnik
Nature Communications|July 1, 2018
Prioritizing network communitiesMarinka Zitnik, Rok Sosič, Jure Leskovec
Bioinformatics (Oxford, England)|June 29, 2018
Modeling polypharmacy side effects with graph convolutional networksMarinka Zitnik, Monica Agrawal, Jure Leskovec
Nature Computational Science|January 13, 2024
Population-scale identification of differential adverse events before and during a pandemicXiang Zhang, Marissa Sumathipala, Marinka Zitnik
Nature Biomedical Engineering|November 1, 2022
Graph representation learning in biomedicine and healthcareMichelle M Li, Kexin Huang, Marinka Zitnik
Arxiv|March 13, 2026
Greater than the Sum of Its Parts: Building Substructure into Protein Encoding ModelsRobert Calef, Arthur Liang, Manolis Kellis, et al.
Scientific Data|March 19, 2023
Evaluating explainability for graph neural networksChirag Agarwal, Owen Queen, Himabindu Lakkaraju, et al.
Biorxiv : the Preprint Server for Biology|April 28, 2025
ATOMICA: Learning Universal Representations of Intermolecular InteractionsAda Fang, Zaixi Zhang, Andrew Zhou, et al.
Pageof 10