Search Results - Jure Leskovec

Jure Leskovec

Jure Leskovec Jure Leskovec is a Slovenian-American computer scientist, entrepreneur and associate professor of Computer Science at Stanford University focusing on networks. He was the chief scientist at Pinterest and co-founder / chief scientist AI graph-ML startup Kumo. Provided by Wikipedia
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  1. 1
    Predicting multicellular function through multi-layer tissue networks

    Predicting multicellular function through multi-layer tissue networks by Marinka Žitnik, Jure Leskovec

    Published 2017
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  2. 2
    node2vec

    node2vec by Aditya Grover, Jure Leskovec

    Published 2016
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  3. 3
    Modeling Individual Cyclic Variation in Human Behavior

    Modeling Individual Cyclic Variation in Human Behavior by Emma Pierson, Tim Althoff, Jure Leskovec

    Published 2018
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  4. 4
    Large-scale analysis of disease pathways in the human interactome

    Large-scale analysis of disease pathways in the human interactome by Monica Agrawal, Marinka Žitnik, Jure Leskovec

    Published 2017
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  5. 5
    Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health

    Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health by Tim Althoff, Kevin Clark, Jure Leskovec

    Published 2016
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  6. 6
    Identification of disease treatment mechanisms through the multiscale interactome

    Identification of disease treatment mechanisms through the multiscale interactome by Camilo Ruiz, Marinka Žitnik, Jure Leskovec

    Published 2021
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  7. 7
    GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations

    GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations by Yusuf Roohani, Kexin Huang, Jure Leskovec

    Published 2022
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  8. 8
    Predicting transcriptional outcomes of novel multigene perturbations with GEARS

    Predicting transcriptional outcomes of novel multigene perturbations with GEARS by Yusuf Roohani, Kexin Huang, Jure Leskovec

    Published 2023
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  9. 9
    Metric Mirages in Cell Embeddings

    Metric Mirages in Cell Embeddings by Hanchen Wang, Jure Leskovec, Aviv Regev

    Published 2024
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  10. 10
    Inductive Representation Learning on Large Graphs

    Inductive Representation Learning on Large Graphs by William L. Hamilton, Rex Ying, Jure Leskovec

    Published 2017
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  11. 11
    Interpretable Decision Sets: A Joint Framework for Description and Prediction

    Interpretable Decision Sets: A Joint Framework for Description and Prediction by Lakkaraju, Himabindu, Bach, Stephen H., Jure, Leskovec

    Published 2016
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  12. 12
    How Gamification Affects Physical Activity

    How Gamification Affects Physical Activity by Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec

    Published 2017
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  13. 13
    Large-scale diet tracking data reveal disparate associations between food environment and diet

    Large-scale diet tracking data reveal disparate associations between food environment and diet by Tim Althoff, Hamed Nilforoshan, Jenna Hua, Jure Leskovec

    Published 2022
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  14. 14
    Evolution of resilience in protein interactomes across the tree of life

    Evolution of resilience in protein interactomes across the tree of life by Marinka Žitnik, Rok Sosič, Marcus W. Feldman, Jure Leskovec

    Published 2019
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  15. 15
    To Embed or Not: Network Embedding as a Paradigm in Computational Biology

    To Embed or Not: Network Embedding as a Paradigm in Computational Biology by Walter Nelson, Marinka Žitnik, Bo Wang, Jure Leskovec, Anna Goldenberg, Roded Sharan

    Published 2019
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  16. 16
    Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN

    Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN by Yanay Rosen, Maria Brbić, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec

    Published 2023
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  17. 17
    Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

    Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN by Yanay Rosen, Maria Brbić, Yusuf Roohani, Kyle Swanson, Ziang Li, Jure Leskovec

    Published 2024
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  18. 18
    Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

    Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities by Marinka Žitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman

    Published 2018
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  19. 19
    Large-scale physical activity data reveal worldwide activity inequality

    Large-scale physical activity data reveal worldwide activity inequality by Tim Althoff, Rok Sosič, Jennifer L. Hicks, ­Abby C. King, Scott L. Delp, Jure Leskovec

    Published 2017
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  20. 20
    Network enhancement as a general method to denoise weighted biological networks

    Network enhancement as a general method to denoise weighted biological networks by Bo Wang, Armin Pourshafeie, Marinka Žitnik, Junjie Zhu, Carlos D. Bustamante, Serafim Batzoglou, Jure Leskovec

    Published 2018
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