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Jure Leskovec
@jure
Stanford, CA
Joined August 2007
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    By popular demand we are releasing lecture videos for Stanford CS224W Machine Learning with Graphs which focuses on graph representation learning. Two new lectures every week. Videos: youtube.com/playlist?list=… Syllabus: cs224w.stanford.edu
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    Making tabular machine learning easy with PyToch Frame. Check it out!
    🚀🎉 Excited to announce 🌟 PyTorch Frame 🌟 - our new open-source initiative in PyTorch! Dive into multi-modal tabular deep learning like never before! Link: github.com/pyg-team/pytor… #PyTorch #OpenSource (1/6)
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    🎉 Excited and honored to receive the #SIGKDD Innovation Award for my contributions to #GraphMining, #NetworkScience, and applied #MachineLearning! Looking forward to advancing these fields even further! 🚀 I am grateful for all the amazing students and collaborators. Thank you
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    Stanford CS224W Machine Learning with Graphs. Lectures 2 and 3 posted! Feature-based learning (Motifs, Graphlets, Graph Kernels) and Node Embeddings (DeepWalk, Node2Vec, Anonymous Walks). Videos: youtube.com/playlist?list=… Syllabus: cs224w.stanford.edu
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    Stanford is proud to bring together leaders from academia&industry to showcase advances in Graph Neural Networks. Program includes applications, frameworks and industry panels on challenges of graph-based machine learning models. Register at: stanford.io/3BUbjjL
    Stanford is proud to organize a workshop that  brings together leaders from academia and industry to showcase recent advances in Graph Neural Networks. The workshop will cover a wide range of applications, domains and frameworks. Industry panels on practical challenges for large-scale training and deployment of graph-based machine learning models should make this exciting for all practitioners and researchers.
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    Ever wondered how much stay-at-home slows down COVID-19? In our latest @Nature paper we use smartphone data to model mobility of 98 million people and detect hotspots, track COVID-19, and guide reopening strategies. Try the model at covid-mobility.stanford.edu
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    Slides from my Stanford Graph Learning workshop showcasing recent advancements in Graph ML and new developments in PyG: i.stanford.edu/~jure/pub/talk… @PyG_Team
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    How powerful are Graph Neural Networks? Slides from my talk at ITA workshop in San Diego. i.stanford.edu/~jure/pub/talk…
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    Excited to announce 2nd Stanford Graph Learning Workshop on Wed Sept 28th with leaders from academia and industry to showcase recent advances of Graph Representation Learning across a wide range of applications. Program & free registration: snap.stanford.edu/graphlearning-…
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    Excited to share our latest research: The myth of cosmopolitan cities: Why large urban areas are more segregated Long-standing assumption is that large cities with their diverse population, foster diverse person-to-person interactions. Our @Nature paper shows the opposite is
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    🌟 Excited to announce the Stanford Graph Learning Workshop 2023 on Oct 24 2023!🤝 Bringing together academia & industry leaders to delve into advances in #MachineLearning & #AI in Relational domains, Foundation models, and Multimodal AI. 📢 Free registration. 📢 Calling for
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    Hvala lepa @JozeMozina za vabilo v oddajo #Intervju in za prijeten pogovor. Na sporedu danes ob 21:45 na Prvem programu @RTV_Slovenija.
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    Stanford CS224W Machine Learning with Graphs. Lectures 7 & 8 posted! Design space for Graph Neural Networks, Graph Augmentation, and training of GNNs. Videos: youtube.com/playlist?list=… Syllabus: cs224w.stanford.edu
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    Stanford CS224W Machine Learning with Graphs. Lecture 6 posted! Graph Neural Networks and Deep Learning for Graphs. Videos: youtube.com/playlist?list=… Syllabus: cs224w.stanford.edu