Leskovec, Jure

node2vec: Scalable Feature Learning for Networks

Grover, A., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 10,926

Inductive Representation Learning on Large Graphs

Hamilton, W. L., Ying, R., & Leskovec, J. (2017) · arXiv

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 10,639

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Ying, R., He, R., Chen, K., Eksombatchai, P., Hamilton, W. L., & Leskovec, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 3,733

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Graphs over time: densification laws, shrinking diameters and possible explanations

Leskovec, J., Kleinberg, J., & Faloutsos, C. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 2,281

Foundation models for generalist medical artificial intelligence

Moor, M., Banerjee, O., Abad, Z. S. H., Krumholz, H. M., Leskovec, J., Topol, E. J., & Rajpurkar, P. (2023) · Nature

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,028

Scientific discovery in the age of artificial intelligence.

Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., et al. (2023) · Nature

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 1,823

Mobility network models of COVID-19 explain inequities and inform reopening

Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., & Leskovec, J. (2021) · Nature

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 1,533

Modeling polypharmacy side effects with graph convolutional networks

Zitnik, M., Agrawal, M., & Leskovec, J. (2018) · Bioinformatics

Computational Drug Discovery MethodsPharmacovigilance and Adverse Drug Reactions

Cited by 1,501

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018) · The Quarterly Journal of Economics

Criminal Justice and Corrections AnalysisArtificial Intelligence in Law

Cited by 1,040

Large-scale physical activity data reveal worldwide activity inequality

Althoff, T., Sosič, R., Hicks, J. L., King, A. C., Delp, S. L., & Leskovec, J. (2017) · Nature

Physical Activity and HealthObesity, Physical Activity, Diet

Cited by 1,000

GNNExplainer: Generating Explanations for Graph Neural Networks

Ying, R., Bourgeois, D., You, J., Zitnik, M., & Leskovec, J. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Graph Neural Networks

Cited by 850

Interpretable Decision Sets: A Joint Framework for Description and Prediction

Lakkaraju, H., Bach, S. H., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 687

Machine learning for integrating data in biology and medicine: principles, practice, and opportunities

Zitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019) · Information Fusion

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 675

Inferring Networks of Substitutable and Complementary Products

McAuley, J., Pandey, R., & Leskovec, J. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesComplex Network Analysis Techniques

Cited by 645

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · National Bureau of Economic Research

Artificial Intelligence in LawCriminal Justice and Corrections Analysis

Cited by 545

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

Predicting transcriptional outcomes of novel multigene perturbations with GEARS

Roohani, Y., Huang, K., & Leskovec, J. (2024) · Nature Biotechnology

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomics

Cited by 355

Hyperbolic Graph Convolutional Neural Networks

Chami, I., Ying, R., Ré, C., & Leskovec, J. (2019) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 344

Large-scale analysis of counseling conversations: an application of natural language processing to mental health

Althoff, T., Clark, K., & Leskovec, J. (2016) · Transactions of the Association for Computational Linguistics

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 322

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes

Kumar, S., West, R., & Leskovec, J. (2016) · Proceedings of the 25th International Conference on World Wide Web

Misinformation and Its ImpactsWikis in Education and Collaboration

Cited by 310

An algorithmic approach to reducing unexplained pain disparities in underserved populations

Pierson, E., Cutler, D. M., Leskovec, J., Mullainathan, S., & Obermeyer, Z. (2021) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 268

A foundation model for clinician-centered drug repurposing

Huang, K., Chandak, P., Wang, Q., Havaldar, S., Vaid, A., Leskovec, J., Nadkarni, G. N., Glicksberg, B. S., Gehlenborg, N., & Zitnik, M. (2024) · Nature Medicine

Computational Drug Discovery MethodsMachine Learning in Healthcare

Cited by 249

Artificial intelligence foundation for therapeutic science

Huang, K., Fu, T., Gao, W., Zhao, Y., Roohani, Y., Leskovec, J., Coley, C. W., Xiao, C., Sun, J., & Zitnik, M. (2022) · Nature Chemical Biology

Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and Education

Cited by 207