Jure Leskovec

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Stanford University ∙ Pinterest, Inc.

Professor at Stanford University, Chief Scientist at Pinterest.

Featured Co-authors

Percy Liang
87 publications
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Open Graph Benchmark: Datasets for Machine Learning on Graphs

We present the Open Graph Benchmark (OGB), a diverse set of challenging ...
05/02/2020 ∙ by Weihua Hu, et al. ∙ 63 ∙ share

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Learning to Simulate Complex Physics with Graph Networks

Here we present a general framework for learning simulation, and provide...
02/21/2020 ∙ by Alvaro Sanchez-Gonzalez, et al. ∙ 26 ∙ share

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Pre-training Graph Neural Networks

Many applications of machine learning in science and medicine, including...
05/29/2019 ∙ by Weihua Hu, et al. ∙ 23 ∙ share

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Hyperbolic Graph Convolutional Neural Networks

Graph convolutional neural networks (GCNs) embed nodes in a graph into E...
10/28/2019 ∙ by Ines Chami, et al. ∙ 23 ∙ share

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Improving Graph Attention Networks with Large Margin-based Constraints

Graph Attention Networks (GATs) are the state-of-the-art neural architec...
10/25/2019 ∙ by Guangtao Wang, et al. ∙ 18 ∙ share

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Complete the Look: Scene-based Complementary Product Recommendation

Modeling fashion compatibility is challenging due to its complexity and ...
12/04/2018 ∙ by Wang-Cheng Kang, et al. ∙ 16 ∙ share

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How Powerful are Graph Neural Networks?

Graph Neural Networks (GNNs) for representation learning of graphs broad...
10/01/2018 ∙ by Keyulu Xu, et al. ∙ 13 ∙ share

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Selection Via Proxy: Efficient Data Selection For Deep Learning

Data selection methods such as active learning and core-set selection ar...
06/26/2019 ∙ by Cody Coleman, et al. ∙ 12 ∙ share

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

Answering complex logical queries on large-scale incomplete knowledge gr...
02/14/2020 ∙ by Hongyu Ren, et al. ∙ 11 ∙ share

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GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks

Graph Neural Networks (GNNs) are a powerful tool for machine learning on...
03/10/2019 ∙ by Rex Ying, et al. ∙ 10 ∙ share

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Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization

Knowledge graphs capture interlinked information between entities and th...
05/11/2019 ∙ by Hongwei Wang, et al. ∙ 9 ∙ share

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Unifying Graph Convolutional Neural Networks and Label Propagation

Label Propagation (LPA) and Graph Convolutional Neural Networks (GCN) ar...
02/17/2020 ∙ by Hongwei Wang, et al. ∙ 9 ∙ share

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Learning Dynamic Embeddings from Temporal Interactions

Modeling a sequence of interactions between users and items (e.g., produ...
12/06/2018 ∙ by Srijan Kumar, et al. ∙ 8 ∙ share

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Data Sketching for Faster Training of Machine Learning Models

Many machine learning problems reduce to the problem of minimizing an ex...
06/05/2019 ∙ by Baharan Mirzasoleiman, et al. ∙ 8 ∙ share

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Entity Context and Relational Paths for Knowledge Graph Completion

Knowledge graph completion aims to predict missing relations between ent...
02/17/2020 ∙ by Hongwei Wang, et al. ∙ 7 ∙ share

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G2SAT: Learning to Generate SAT Formulas

The Boolean Satisfiability (SAT) problem is the canonical NP-complete pr...
10/29/2019 ∙ by Jiaxuan You, et al. ∙ 6 ∙ share

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Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data

Modeling how individuals evolve over time is a fundamental problem in th...
07/12/2018 ∙ by Emma Pierson, et al. ∙ 4 ∙ share

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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Recent advancements in deep neural networks for graph-structured data ha...
06/06/2018 ∙ by Rex Ying, et al. ∙ 2 ∙ share

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Hierarchical Graph Representation Learning with Differentiable Pooling

Recently, graph neural networks (GNNs) have revolutionized the field of ...
06/22/2018 ∙ by Rex Ying, et al. ∙ 2 ∙ share

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Position-aware Graph Neural Networks

Learning node embeddings that capture a node's position within the broad...
06/11/2019 ∙ by Jiaxuan You, et al. ∙ 2 ∙ share

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Redundancy-Free Computation Graphs for Graph Neural Networks

Graph Neural Networks (GNNs) are based on repeated aggregations of infor...
06/09/2019 ∙ by Zhihao Jia, et al. ∙ 1 ∙ share

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Spectral Graph Wavelets for Structural Role Similarity in Networks

Nodes residing in different parts of a graph can have similar structural...
10/27/2017 ∙ by Claire Donnat, et al. ∙ 0 ∙ share

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Interpretable & Explorable Approximations of Black Box Models

We propose Black Box Explanations through Transparent Approximations (BE...
07/04/2017 ∙ by Himabindu Lakkaraju, et al. ∙ 0 ∙ share

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Predicting multicellular function through multi-layer tissue networks

Motivation: Understanding functions of proteins in specific human tissue...
07/14/2017 ∙ by Marinka Zitnik, et al. ∙ 0 ∙ share

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Driver Identification Using Automobile Sensor Data from a Single Turn

As automotive electronics continue to advance, cars are becoming more an...
06/09/2017 ∙ by David Hallac, et al. ∙ 0 ∙ share

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Inductive Representation Learning on Large Graphs

Low-dimensional embeddings of nodes in large graphs have proved extremel...
06/07/2017 ∙ by William L. Hamilton, et al. ∙ 0 ∙ share

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Higher-order clustering in networks

A fundamental property of complex networks is the tendency for edges to ...
04/12/2017 ∙ by Hao Yin, et al. ∙ 0 ∙ share

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An Army of Me: Sockpuppets in Online Discussion Communities

In online discussion communities, users can interact and share informati...
03/21/2017 ∙ by Srijan Kumar, et al. ∙ 0 ∙ share

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Motifs in Temporal Networks

Networks are a fundamental tool for modeling complex systems in a variet...
12/29/2016 ∙ by Ashwin Paranjape, et al. ∙ 0 ∙ share

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node2vec: Scalable Feature Learning for Networks

Prediction tasks over nodes and edges in networks require careful effort...
07/03/2016 ∙ by Aditya Grover, et al. ∙ 0 ∙ share

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Do Cascades Recur?

Cascades of information-sharing are a primary mechanism by which content...
02/02/2016 ∙ by Justin Cheng, et al. ∙ 0 ∙ share

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Antisocial Behavior in Online Discussion Communities

User contributions in the form of posts, comments, and votes are essenti...
04/02/2015 ∙ by Justin Cheng, et al. ∙ 0 ∙ share

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How Community Feedback Shapes User Behavior

Social media systems rely on user feedback and rating mechanisms for per...
05/06/2014 ∙ by Justin Cheng, et al. ∙ 0 ∙ share

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Can Cascades be Predicted?

On many social networking web sites such as Facebook and Twitter, reshar...
03/18/2014 ∙ by Justin Cheng, et al. ∙ 0 ∙ share

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Engaging with Massive Online Courses

The Web has enabled one of the most visible recent developments in educa...
03/12/2014 ∙ by Ashton Anderson, et al. ∙ 0 ∙ share

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The Bursty Dynamics of the Twitter Information Network

In online social media systems users are not only posting, consuming, an...
03/11/2014 ∙ by Seth A. Myers, et al. ∙ 0 ∙ share

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Modeling Information Propagation with Survival Theory

Networks provide a skeleton for the spread of contagions, like, informat...
05/15/2013 ∙ by Manuel Gomez-Rodriguez, et al. ∙ 0 ∙ share

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Predicting Positive and Negative Links in Online Social Networks

We study online social networks in which relationships can be either pos...
03/11/2010 ∙ by Jure Leskovec, et al. ∙ 0 ∙ share

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Latent Multi-group Membership Graph Model

We develop the Latent Multi-group Membership Graph (LMMG) model, a model...
05/21/2012 ∙ by Myunghwan Kim, et al. ∙ 0 ∙ share

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Image Labeling on a Network: Using Social-Network Metadata for Image Classification

Large-scale image retrieval benchmarks invariably consist of images from...
07/16/2012 ∙ by Julian McAuley, et al. ∙ 0 ∙ share

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Community Identity and User Engagement in a Multi-Community Landscape

A community's identity defines and shapes its internal dynamics. Our cur...
05/26/2017 ∙ by Justine Zhang, et al. ∙ 0 ∙ share

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Loyalty in Online Communities

Loyalty is an essential component of multi-community engagement. When us...
03/09/2017 ∙ by William L. Hamilton, et al. ∙ 0 ∙ share

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Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change

Words shift in meaning for many reasons, including cultural factors like...
06/09/2016 ∙ by William L. Hamilton, et al. ∙ 0 ∙ share

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Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

A word's sentiment depends on the domain in which it is used. Computatio...
06/09/2016 ∙ by William L. Hamilton, et al. ∙ 0 ∙ share

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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Understanding how words change their meanings over time is key to models...
05/30/2016 ∙ by William L. Hamilton, et al. ∙ 0 ∙ share

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Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health

Mental illness is one of the most pressing public health issues of our t...
05/14/2016 ∙ by Tim Althoff, et al. ∙ 0 ∙ share

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QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns

Given the extremely large pool of events and stories available, media ou...
04/06/2015 ∙ by Vlad Niculae, et al. ∙ 0 ∙ share

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SnapVX: A Network-Based Convex Optimization Solver

SnapVX is a high-performance Python solver for convex optimization probl...
09/21/2015 ∙ by David Hallac, et al. ∙ 0 ∙ share

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How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application

Gamification represents an effective way to incentivize user behavior ac...
02/24/2017 ∙ by Ali Shameli, et al. ∙ 0 ∙ share

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Why We Read Wikipedia

Wikipedia is one of the most popular sites on the Web, with millions of ...
02/17/2017 ∙ by Philipp Singer, et al. ∙ 0 ∙ share

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