Jure Leskovec
About
Jure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group, and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more. His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas. Leskovec received his bachelor's degree in computer science from the University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University.
Research Performance Summary
First Recorded Paper
Detection of human bodies using computer analysis of a sequence of stereo images
Year: 1999
Citations: 4
Venue: 11th European Union Contest for Young Scientists
Latest Recorded Paper
Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.20339
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.