Leskovec, Jure

Best practices for analyzing large-scale health data from wearables and smartphone apps

Hicks, J. L., Althoff, T., Sosic, R., Kuhar, P., Bostjancic, B., King, A. C., Leskovec, J., & Delp, S. L. (2019) · npj Digital Medicine

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 183

An Army of Me: Sockpuppets in Online Discussion Communities

Kumar, S., Cheng, J., Leskovec, J., & Subrahmanian, V. S. (2017) · Proceedings of the 26th International Conference on World Wide Web

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 178

Embedding Logical Queries on Knowledge Graphs

Hamilton, W. L., Bajaj, P., Zitnik, M., Jurafsky, D., & Leskovec, J. (2018) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 176

Identification of disease treatment mechanisms through the multiscale interactome

Ruiz, C., Zitnik, M., & Leskovec, J. (2021) · Nature Communications

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 172

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables

Lakkaraju, H., Kleinberg, J., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Advanced Causal Inference TechniquesEthics and Social Impacts of AI

Cited by 138

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Ren, H., Hu, W., & Leskovec, J. (2020) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 135

Evolution of resilience in protein interactomes across the tree of life

Zitnik, M., Sosič, R., Feldman, M. W., & Leskovec, J. (2019) · Proceedings of the National Academy of Sciences

Bioinformatics and Genomic NetworksComplex Network Analysis Techniques

Cited by 130

Biomni: A general-purpose biomedical ai agent

Huang, K., Zhang, S., Wang, H., Qu, Y., Lu, Y., Roohani, Y., Li, R., Qiu, L., Li, G., Zhang, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory)

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 125

Predicting cellular responses to perturbation across diverse contexts with State

Adduri, A. K., Gautam, D., Bevilacqua, B., Naghipourfar, M., Imran, A., Shah, R., Teyssier, N., Verma, R., Carpenter, C., Eraslan, B., et al. (2026) · Cell

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 100

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering

Wang, Y., Yasunaga, M., Ren, H., Wada, S., & Leskovec, J. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Graph Neural Networks

Cited by 68

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

Huang, S., Poursafaei, F., Danovitch, J., Fey, M., Hu, W., Rossi, E., Leskovec, J., Bronstein, M., Rabusseau, G., & Rabbany, R. (2023) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 63

Improving Graph Attention Networks with Large Margin-based Constraints

Wang, G., Ying, R., Huang, J., & Leskovec, J. (2019) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 61

Predicting pregnancy using large-scale data from a women's health tracking mobile application

Liu, B., Shi, S., Wu, Y., Thomas, D., Symul, L., Pierson, E., & Leskovec, J. (2019) · The World Wide Web Conference

Artificial Intelligence in HealthcareMobile Health and mHealth Applications

Cited by 34

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones

Bai, Y., Ying, R., Ren, H., & Leskovec, J. (2021) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 31

A large-scale benchmark for network inference from single-cell perturbation data

Chevalley, M., Roohani, Y. H., Mehrjou, A., Leskovec, J., & Schwab, P. (2025) · Communications Biology

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 26

Interpretable & Explorable Approximations of Black Box Models

Lakkaraju, H., Kamar, E., Caruana, R., & Leskovec, J. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 23

Postmortem memory of public figures in news and social media

West, R., Leskovec, J., & Potts, C. (2021) · Proceedings of the National Academy of Sciences

Memory, Trauma, and CommemorationDeath, Funerary Practices, and Mourning

Cited by 15

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Huang, Q., Vora, J., Liang, P., & Leskovec, J. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 9

Automated Hypothesis Validation with Agentic Sequential Falsifications

Huang, K., Jin, Y., Li, R., Li, M. Y., Candès, E., & Leskovec, J. (2025) · arXiv

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 7

End-to-End Test-Time Training for Long Context

Tandon, A., Dalal, K., Li, X., Koceja, D., Rød, M., Buchanan, S., Wang, X., Leskovec, J., Koyejo, S., Hashimoto, T., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0