Jure Leskovec. He focuses on statistical modeling of network structure, network evolution, and spread of information, influence and viruses over networks. I’m an undergraduate who did CURIS student in Jure’s lab last summer, and loved it. Modeling interdisciplinary citation dynamics across subfields of sciences. Jure Leskovec. Overview. Stanford Large Network Dataset Collection. I am assistant professor of Computer Science at Stanford University where I am a member of the InfoLab and the AI lab. CMU SCS Mining Large Graphs ECML/PKDD 2007 tutorial Jure Leskovec and Christos Faloutsos Machine Learning Department Joint work with: Lada Adamic, Deepay Chakrabarti, Natalie Glance, Carlos Guestrin, Bernardo Huberman, Jon Kleinberg, Andreas Krause, Mary McGlohon, Ajit Singh, and Jeanne VanBriesen. In 2008/09 he was a postdoctoral researcher at Cornell University working with Jon Kleinberg and Dan Huttenlocher. He joined the department in September 2009. You can also check our past Coursera MOOC. Overview. Jure Leskovec School of Computer Science Carnegie Mellon University Pittsburgh, PA, USA jure@cs.cmu.edu Christos Faloutsos School of Computer Science Carnegie Mellon University Pittsburgh, PA, USA christos@cs.cmu.edu ABSTRACT Given a huge real graph, how can we derive a representa-tive sample? Jingjing Tian. Leskovec is exhilarated by the possibilities hidden in the data. A team of researchers has created a computer model that accurately predicted the spread of COVID-19 in 10 major cities this spring by analyzing three factors that drive infection risk: where people go in the course of a day, how long they linger and how many other people are visiting the same place at the same time. Logistics. Advisor. Associate Professor of Computer Science. SAIL is committed to advancing knowledge and fostering learning in an atmosphere of discovery and creativity. Problems he investigates are motivated by large scale data, the Web and on-line media. His research focuses on mining large social and information networks. GitHub is where profjure builds software. Jonathan Gomes-Selman. I am also an investigator at Chan Zuckerberg Biohub, where I focus on developing new methods for analysis of biomedical data.. My general research area is applied machine learning and data science for large … I received my bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University. Distance Encoding for GNN Design Resources. I am associate professor of Computer Science at Stanford University where I am a member of the InfoLab and the AI lab.I joined the department in September 2009. Jure Leskovec is Assistant Professor of Computer Science at Stanford University where he is a member of the Info Lab and the AI Lab. Jure (Jurij) Leskovec, slovenski računalnikar in podjetnik, * 1980.. Raziskovalno se ukvarja zlasti z velikimi računalniškimi omrežji in deluje kot izredni profesor na Univerzi Stanford (Kalifornija, Združene države Amerike) ter vodja raziskav pri podjetju Pinterest. PhD Study, Research School of Computer Science, The Australian National University, Australia (2011 - 2015) I am assistant professor of Computer Science at Stanford University where I am a member of the InfoLab and the AI lab. Institution: Stanford University. Learning Lab → Open source ... Pan and Wang, Yanbang and Wang, Hongwei and Leskovec, Jure}, booktitle={Advances in Neural Information Processing Systems}, year={2020} } About. View the profiles of people named Jure Leskovec. Bio . He focuses on statistical modeling of network structure, network evolution, and spread of information, influence and viruses over networks. Verified email at cs.stanford.edu - Homepage. There are many known algorithms to compute Jure Leskovec @ Stanford. I am associate professor of Computer Science at Stanford University where I am a member of the InfoLab and the AI lab. Bio . Jure has authored the Stanford Network Analysis Platform (SNAP), a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of … Department: Department of Computer Science . ACM KDD, 2003. Complex data can be represented as a graph of relationships between objects. Analytics cookies. ACM KDD, 2003. Articles Cited by Co-authors. Jure Leskovec, Lada Adamic, Bernardo Huberman. Advance your research. Content What is this course about? Department: Department of Computer Science . His research uses information collected from sites like Twitter, Wikipedia and Facebook to tackle big questions about how society works. I am affiliated with Stanford NLP group and Stanford HCI group. I joined the department in September 2009. Jure Leskovec. Stanford Neuro-omics 2020 Virtual Workshop. Michele Catasta. Cascading Behavior in Large Blog Graphs. View Lab Report - node2vec.docx from DOC 3 at Vietnam National University, Ho Chi Minh City. Jure Leskovec. Jure Leskovec is an Associate Professor of Computer Science at Stanford University. Receive announcements, news, and events for Jure Leskovec. 1). Download image. Data mining Machine Learning Graph Neural Networks Knowledge Graphs Complex Networks.

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