Jure Leskovec
Alfred and Rebecca Lin Professor
Develops graph neural networks and relational deep learning for large networks and databases.
Jure Leskovec's lab at Stanford works on graph mining & networks, data management & big data and graph learning. 4 papers since 2023, 1 at top venues, mostly Nature and TMM. 13 PhD students. 48 alumni, most often to Meta and Co-Founder and Research Scientist. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 25%
- PhD students
- 13
- MS students
- 0
- alumni listed
- 48
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 4 papers2023 · T1 1
T1 venuesOtherVenues: Nature, TMM
Research focuspaper titles that use each topic's words
- Graph mining & networks1 paper
- Data management & big data0 papers
- Graph learning0 papers
- develops graph0 papers
- relational0 papers
Paper list
From the lab homepage.
20234 papers
- Nature (T1)Foundation models for generalist medical artificial intelligence. (opens in a new tab)
- AI MAGAZINEHybrid forecasting of geopolitical events(dagger) (opens in a new tab)
- TMMM2P2: Multimodal Persuasion Prediction Using Adaptive Fusion (opens in a new tab)
- Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingMutual interactors as a principle for phenotype discovery in molecular interaction networks.
Where alumni went48 listed, 40% to industry
Industry 18Academia 27
Most often to
- Meta
- Co-Founder and Research Scientist
Also to
- EPFL
- Cornell University
- Harvard University
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Single round
- Opens
- GRE
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- English
- TOEFL/IELTS
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Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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