Linear Programming Boosting for Uneven Datasets. - Jure Leskovec; John Shawe-Taylor (ICML, 2003)

The Download Estimation task on KDD Cup 2003. - Janez Brank; Jure Leskovec (SIGKDD Explor., 2003)

Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts. - Jure Leskovec; Natasa Milic-Frayling; Marko Grobelnik (AAAI, 2005)

Graphs over time: densification laws, shrinking diameters and possible explanations. - Jure Leskovec; Jon M. Kleinberg; Christos Faloutsos (KDD, 2005)

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. - Jure Leskovec; Deepayan Chakrabarti; Jon M. Kleinberg; Christos Faloutsos (PKDD, 2005)

Modeling Link Qualities in a Sensor Network. - Jure Leskovec; Purnamrita Sarkar; Carlos Guestrin (Informatica (Slovenia), 2005)

Data association for topic intensity tracking. - Andreas Krause 001; Jure Leskovec; Carlos Guestrin (ICML, 2006)

Sampling from large graphs. - Jure Leskovec; Christos Faloutsos (KDD, 2006)

Patterns of Influence in a Recommendation Network. - Jure Leskovec; Ajit Singh; Jon M. Kleinberg (PAKDD, 2006)

GMine: A System for Scalable, Interactive Graph Visualization and Mining. - José Fernando Rodrigues Jr.; Hanghang Tong; Agma J. M. Traina; Christos Faloutsos; Jure Leskovec (VLDB, 2006)

Scalable modeling of real graphs using Kronecker multiplication. - Jure Leskovec; Christos Faloutsos (ICML, 2007)

Finding patterns in blog shapes and blog evolution. - Mary McGlohon; Jure Leskovec; Christos Faloutsos; Matthew Hurst; Natalie S. Glance (ICWSM, 2007)

Information Survival Threshold in Sensor and P2P Networks. - Deepayan Chakrabarti; Jure Leskovec; Christos Faloutsos; Samuel Madden 001; Carlos Guestrin; Michalis Faloutsos (INFOCOM, 2007)

Cost-effective outbreak detection in networks. - Jure Leskovec; Andreas Krause 001; Carlos Guestrin; Christos Faloutsos; Jeanne M. VanBriesen; Natalie S. Glance (KDD, 2007)

Diffusion and Cascading Behavior in Networks. - Jure Leskovec (NATO ASI Mining Massive Data Sets for Security, 2007)

Patterns of Cascading Behavior in Large Blog Graphs. - Jure Leskovec; Mary McGlohon; Christos Faloutsos; Natalie S. Glance; Matthew Hurst (SDM, 2007)

Web projections: learning from contextual subgraphs of the web. - Jure Leskovec; Susan T. Dumais; Eric Horvitz (WWW, 2007)

Graph evolution: Densification and shrinking diameters. - Jure Leskovec; Jon M. Kleinberg; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2007)

The dynamics of viral marketing. - Jure Leskovec; Lada A. Adamic; Bernardo A. Huberman (ACM Trans. Web, 2007)

Monitoring Network Evolution using MDL. - Jure Ferlez; Christos Faloutsos; Jure Leskovec; Dunja Mladenic; Marko Grobelnik (ICDE, 2008)

Social networks: looking ahead. - Ravi Kumar 001; Alexander Tuzhilin; Christos Faloutsos; David D. Jensen; Gueorgi Kossinets; Jure Leskovec; Andrew Tomkins (KDD, 2008)

Microscopic evolution of social networks. - Jure Leskovec; Lars Backstrom; Ravi Kumar 001; Andrew Tomkins (KDD, 2008)

Mobile call graphs: beyond power-law and lognormal distributions. - Mukund Seshadri; Sridhar Machiraju; Ashwin Sridharan; Jean Bolot; Christos Faloutsos; Jure Leskovec (KDD, 2008)

Planetary-scale views on a large instant-messaging network. - Jure Leskovec; Eric Horvitz (WWW, 2008)

Statistical properties of community structure in large social and information networks. - Jure Leskovec; Kevin J. Lang; Anirban Dasgupta 001; Michael W. Mahoney (WWW, 2008)

Epidemic thresholds in real networks. - Deepayan Chakrabarti; Yang Wang 008; Chenxi Wang; Jure Leskovec; Christos Faloutsos (ACM Trans. Inf. Syst. Secur., 2008)

Networks, communities and kronecker products. - Jure Leskovec (CIKM-CNIKM, 2009)

Tutorial summary: Large social and information networks: opportunities for ML. - Jure Leskovec (ICML, 2009)

Modeling Blog Dynamics. - Michaela Goetz; Jure Leskovec; Mary McGlohon; Christos Faloutsos (ICWSM, 2009)

Meme-tracking and the dynamics of the news cycle. - Jure Leskovec; Lars Backstrom; Jon M. Kleinberg (KDD, 2009)

ShatterPlots: Fast Tools for Mining Large Graphs. - Ana Paula Appel; Deepayan Chakrabarti; Christos Faloutsos; Ravi Kumar 001; Jure Leskovec; Andrew Tomkins (SDM, 2009)

Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. - Jure Leskovec; Kevin J. Lang; Anirban Dasgupta 001; Michael W. Mahoney (Internet Math., 2009)

Signed networks in social media. - Jure Leskovec; Daniel P. Huttenlocher; Jon M. Kleinberg (CHI, 2010)

Modeling Information Diffusion in Implicit Networks. - Jaewon Yang; Jure Leskovec (ICDM, 2010)

Governance in Social Media: A Case Study of the Wikipedia Promotion Process. - Jure Leskovec; Daniel P. Huttenlocher; Jon M. Kleinberg (ICWSM, 2010)

Citing for high impact. - Xiaolin Shi; Jure Leskovec; Daniel A. McFarland (JCDL, 2010)

On the Convexity of Latent Social Network Inference. - Seth A. Myers; Jure Leskovec (NIPS, 2010)

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. - U Kang; Charalampos E. Tsourakakis; Ana Paula Appel; Christos Faloutsos; Jure Leskovec (SDM, 2010)

Predicting positive and negative links in online social networks. - Jure Leskovec; Daniel P. Huttenlocher; Jon M. Kleinberg (WWW, 2010)

Empirical comparison of algorithms for network community detection. - Jure Leskovec; Kevin J. Lang; Michael W. Mahoney (WWW, 2010)

Kronecker Graphs: An Approach to Modeling Networks. - Jure Leskovec; Deepayan Chakrabarti; Jon M. Kleinberg; Christos Faloutsos; Zoubin Ghahramani (J. Mach. Learn. Res., 2010)

Kronecker Graphs. - Jure Leskovec (Graph Algorithms in the Language of Linear Algebra, 2011)

Sentiment Flow Through Hyperlink Networks. - Mahalia Miller; Conal Sathi; Daniel Wiesenthal; Jure Leskovec; Christopher Potts (ICWSM, 2011)

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. - Ramesh Nallapati; Xiaolin Shi; Daniel A. McFarland; Jure Leskovec; Daniel Jurafsky (ICWSM, 2011)

Friendship and mobility: user movement in location-based social networks. - Eunjoon Cho; Seth A. Myers; Jure Leskovec (KDD, 2011)

The Network Completion Problem: Inferring Missing Nodes and Edges in Networks. - Myunghwan Kim 002; Jure Leskovec (SDM, 2011)

The role of social networks in online shopping: information passing, price of trust, and consumer choice. - Stephen Guo; Mengqiu Wang; Jure Leskovec (EC, 2011)

Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model. - Myunghwan Kim 002; Jure Leskovec (UAI, 2011)

Supervised random walks: predicting and recommending links in social networks. - Lars Backstrom; Jure Leskovec (WSDM, 2011)

Correcting for missing data in information cascades. - Eldar Sadikov; Montserrat Medina; Jure Leskovec; Hector Garcia-Molina (WSDM, 2011)

Patterns of temporal variation in online media. - Jaewon Yang; Jure Leskovec (WSDM, 2011)

Social media: source of information or bunch of noise. - Amr El Abaddi; Lars Backstrom; Soumen Chakrabarti; Alejandro Jaimes; Jure Leskovec; Andrew Tomkins (WWW (Companion Volume), 2011)

Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success. - Simla Ceyhan; Xiaolin Shi; Jure Leskovec (WWW, 2011)

Social media analytics: tracking, modeling and predicting the flow of information through networks. - Jure Leskovec (WWW (Companion Volume), 2011)

HADI: Mining Radii of Large Graphs. - U Kang; Charalampos E. Tsourakakis; Ana Paula Appel; Christos Faloutsos; Jure Leskovec (ACM Trans. Knowl. Discov. Data, 2011)

Image Labeling on a Network: Using Social-Network Metadata for Image Classification. - Julian J. McAuley; Jure Leskovec (ECCV (4), 2012)

Human navigation in networks. - Jure Leskovec (HT, 2012)

Learning Attitudes and Attributes from Multi-aspect Reviews. - Julian J. McAuley; Jure Leskovec; Dan Jurafsky (ICDM, 2012)

Clash of the Contagions: Cooperation and Competition in Information Diffusion. - Seth A. Myers; Jure Leskovec (ICDM, 2012)

Community-Affiliation Graph Model for Overlapping Network Community Detection. - Jaewon Yang; Jure Leskovec (ICDM, 2012)

Latent Multi-group Membership Graph Model. - Myunghwan Kim 002; Jure Leskovec (ICML, 2012)

Automatic Versus Human Navigation in Information Networks. - Robert West 001; Jure Leskovec (ICWSM, 2012)

Discovering value from community activity on focused question answering sites: a case study of stack overflow. - Ashton Anderson; Daniel P. Huttenlocher; Jon M. Kleinberg; Jure Leskovec (KDD, 2012)

Information diffusion and external influence in networks. - Seth A. Myers; Chenguang Zhu 001; Jure Leskovec (KDD, 2012)

Learning to Discover Social Circles in Ego Networks. - Julian J. McAuley; Jure Leskovec (NIPS, 2012)

Effects of user similarity in social media. - Ashton Anderson; Daniel P. Huttenlocher; Jon M. Kleinberg; Jure Leskovec (WSDM, 2012)

The life and death of online groups: predicting group growth and longevity. - Sanjay Ram Kairam; Dan J. Wang; Jure Leskovec (WSDM, 2012)

Human wayfinding in information networks. - Robert West 001; Jure Leskovec (WWW, 2012)

Structure and Overlaps of Communities in Networks - Jaewon Yang; Jure Leskovec (CoRR, 2012)

Multiplicative Attribute Graph Model of Real-World Networks. - Myunghwan Kim 002; Jure Leskovec (Internet Math., 2012)

Measurement error in network data: A re-classification. - Dan J. Wang; Xiaolin Shi; Daniel A. McFarland; Jure Leskovec (Soc. Networks, 2012)

Inferring Networks of Diffusion and Influence. - Manuel Gomez-Rodriguez; Jure Leskovec; Andreas Krause 001 (ACM Trans. Knowl. Discov. Data, 2012)

A computational approach to politeness with application to social factors. - Cristian Danescu-Niculescu-Mizil; Moritz Sudhof; Dan Jurafsky; Jure Leskovec; Christopher Potts (ACL (1), 2013)

Channeling the deluge: research challenges for big data and information systems. - Paul Bennett 001; C. Lee Giles; Alon Y. Halevy; Jiawei Han 001; Marti A. Hearst; Jure Leskovec (CIKM, 2013)

Community Detection in Networks with Node Attributes. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (ICDM, 2013)

Modeling Information Propagation with Survival Theory. - Manuel Gomez-Rodriguez; Jure Leskovec; Bernhard Schölkopf (ICML (3), 2013)

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. - Himabindu Lakkaraju; Julian J. McAuley; Jure Leskovec (ICWSM, 2013)

Information cartography: creating zoomable, large-scale maps of information. - Dafna Shahaf; Jaewon Yang; Caroline Suen; Jeff Jacobs; Heidi Wang; Jure Leskovec (KDD, 2013)

Nonparametric Multi-group Membership Model for Dynamic Networks. - Myunghwan Kim 002; Jure Leskovec (NIPS, 2013)

Hidden factors and hidden topics: understanding rating dimensions with review text. - Julian J. McAuley; Jure Leskovec (RecSys, 2013)

Structure and dynamics of information pathways in online media. - Manuel Gomez-Rodriguez; Jure Leskovec; Bernhard Schölkopf (WSDM, 2013)

Overlapping community detection at scale: a nonnegative matrix factorization approach. - Jaewon Yang; Jure Leskovec (WSDM, 2013)

Steering user behavior with badges. - Ashton Anderson; Daniel P. Huttenlocher; Jon M. Kleinberg; Jure Leskovec (WWW, 2013)

No country for old members: user lifecycle and linguistic change in online communities. - Cristian Danescu-Niculescu-Mizil; Robert West 001; Dan Jurafsky; Jure Leskovec; Christopher Potts (WWW, 2013)

How status and reputation shape human evaluations: consequences for recommender systems. - Jure Leskovec (WWW (Companion Volume), 2013)

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. - Julian J. McAuley; Jure Leskovec (WWW, 2013)

NIFTY: a system for large scale information flow tracking and clustering. - Caroline Suen; Sandy Huang; Chantat Eksombatchai; Rok Sosic; Jure Leskovec (WWW, 2013)

Mining of Massive Datasets, 2nd Ed. - Jure Leskovec; Anand Rajaraman; Jeffrey D. Ullman (Cambridge University Press, 2014)

How Community Feedback Shapes User Behavior. - Justin Cheng; Cristian Danescu-Niculescu-Mizil; Jure Leskovec (ICWSM, 2014)

The last click: why users give up information network navigation. - Aju Thalappillil Scaria; Rose Marie Philip; Robert West 001; Jure Leskovec (WSDM, 2014)

Detecting cohesive and 2-mode communities indirected and undirected networks. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (WSDM, 2014)

Engaging with massive online courses. - Ashton Anderson; Daniel P. Huttenlocher; Jon M. Kleinberg; Jure Leskovec (WWW, 2014)

Status and friendship: mechanisms of social network evolution. - Christina Brandt; Jure Leskovec (WWW (Companion Volume), 2014)

Can cascades be predicted? - Justin Cheng; Lada A. Adamic; P. Alex Dow; Jon M. Kleinberg; Jure Leskovec (WWW, 2014)

The bursty dynamics of the Twitter information network. - Seth A. Myers; Jure Leskovec (WWW, 2014)

Finding progression stages in time-evolving event sequences. - Jaewon Yang; Julian J. McAuley; Jure Leskovec; Paea LePendu; Nigam Shah (WWW, 2014)

Visualizing information networks: the 2011 Fukushima earthquake. - Manuel Gomez-Rodriguez; Jure Leskovec (AI Matters, 2014)

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (CoRR, 2014)

Uncovering the structure and temporal dynamics of information propagation. - Manuel Gomez-Rodriguez; Jure Leskovec; David Balduzzi; Bernhard Schölkopf (Netw. Sci., 2014)

Overlapping Communities Explain Core-Periphery Organization of Networks. - Jaewon Yang; Jure Leskovec (Proc. IEEE, 2014)

Exploiting Social Network Structure for Person-to-Person Sentiment Analysis. - Robert West 001; Hristo S. Paskov; Jure Leskovec; Christopher Potts (Trans. Assoc. Comput. Linguistics, 2014)

Geospatial Structure of a Planetary-Scale Social Network. - Jure Leskovec; Eric Horvitz (IEEE Trans. Comput. Soc. Syst., 2014)

Structure and Overlaps of Ground-Truth Communities in Networks. - Jaewon Yang; Jure Leskovec (ACM Trans. Intell. Syst. Technol., 2014)

Discovering social circles in ego networks. - Julian J. McAuley; Jure Leskovec (ACM Trans. Knowl. Discov. Data, 2014)

Antisocial Behavior in Online Discussion Communities. - Justin Cheng; Cristian Danescu-Niculescu-Mizil; Jure Leskovec (ICWSM, 2015)

Network Lasso: Clustering and Optimization in Large Graphs. - David Hallac; Jure Leskovec; Stephen P. Boyd (KDD, 2015)

Inferring Networks of Substitutable and Complementary Products. - Julian J. McAuley; Rahul Pandey; Jure Leskovec (KDD, 2015)

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. - Qingyuan Zhao; Murat A. Erdogdu; Hera Y. He; Anand Rajaraman; Jure Leskovec (KDD, 2015)

Tensor Spectral Clustering for Partitioning Higher-order Network Structures. - Austin R. Benson; David F. Gleich; Jure Leskovec (SDM, 2015)

A Bayesian Framework for Modeling Human Evaluations. - Himabindu Lakkaraju; Jure Leskovec; Jon M. Kleinberg; Sendhil Mullainathan (SDM, 2015)

Ringo: Interactive Graph Analytics on Big-Memory Machines. - Yonathan Perez; Rok Sosic; Arijit Banerjee; Rohan Puttagunta; Martin Raison; Pararth Shah; Jure Leskovec (SIGMOD Conference, 2015)

New Directions in Recommender Systems. - Jure Leskovec (WSDM, 2015)

Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia. - Robert West 001; Ashwin Paranjape; Jure Leskovec (WWW, 2015)

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. - Tim Althoff; Jure Leskovec (WWW, 2015)

Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily. - Ashton Anderson; Daniel P. Huttenlocher; Jon M. Kleinberg; Jure Leskovec; Mitul Tiwari (WWW, 2015)

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. - Vlad Niculae; Caroline Suen; Justine Zhang; Cristian Danescu-Niculescu-Mizil; Jure Leskovec (WWW, 2015)

Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference. - Rok Sosic; Jure Leskovec (WWW (Companion Volume), 2015)

Information cartography. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz; Jure Leskovec (Commun. ACM, 2015)

SnapVX: A Network-Based Convex Optimization Solver. - David Hallac; Christopher Wong; Steven Diamond; Rok Sosic; Stephen P. Boyd; Jure Leskovec (CoRR, 2015)

The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility. - Joy P. Ku; Jennifer L. Hicks; Trevor Hastie; Jure Leskovec; Christopher Ré; Scott L. Delp (J. Am. Medical Informatics Assoc., 2015)

Defining and evaluating network communities based on ground-truth. - Jaewon Yang; Jure Leskovec (Knowl. Inf. Syst., 2015)

Learning Linguistic Descriptors of User Roles in Online Communities. - Alex Wang; William L. Hamilton; Jure Leskovec (NLP+CSS@EMNLP, 2016)

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. - William L. Hamilton; Jure Leskovec; Dan Jurafsky (ACL (1), 2016)

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. - William L. Hamilton; Kevin Clark; Jure Leskovec; Dan Jurafsky (EMNLP, 2016)

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. - William L. Hamilton; Jure Leskovec; Dan Jurafsky (EMNLP, 2016)

Driver identification using automobile sensor data from a single turn. - David Hallac; Abhijit Sharang; Rainer Stahlmann; Andreas Lamprecht; Markus Huber 005; Martin Roehder; Rok Sosic; Jure Leskovec (ITSC, 2016)

node2vec: Scalable Feature Learning for Networks. - Aditya Grover; Jure Leskovec (KDD, 2016)

Interpretable Decision Sets: A Joint Framework for Description and Prediction. - Himabindu Lakkaraju; Stephen H. Bach; Jure Leskovec (KDD, 2016)

Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest. - Caroline Lo; Dan Frankowski; Jure Leskovec (KDD, 2016)

Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making. - Himabindu Lakkaraju; Jure Leskovec (NIPS, 2016)

Beyond nodes and edges: multiresolution algorithms for network data. - Jure Leskovec (NDA@SIGMOD, 2016)

Seeing the forest for the trees: new approaches to forecasting cascades. - Siddharth Krishnan; Patrick Butler; Ravi Tandon; Jure Leskovec; Naren Ramakrishnan (WebSci, 2016)

Improving Website Hyperlink Structure Using Server Logs. - Ashwin Paranjape; Robert West 001; Leila Zia; Jure Leskovec (WSDM, 2016)

Do Cascades Recur? - Justin Cheng; Lada A. Adamic; Jon M. Kleinberg; Jure Leskovec (WWW, 2016)

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. - Srijan Kumar; Robert West 001; Jure Leskovec (WWW, 2016)

Growing Wikipedia Across Languages via Recommendation. - Ellery Wulczyn; Robert West 001; Leila Zia; Jure Leskovec (WWW, 2016)

Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. - Tim Althoff; Kevin Clark; Jure Leskovec (CoRR, 2016)

Higher-order organization of complex networks. - Austin R. Benson; David F. Gleich; Jure Leskovec (CoRR, 2016)

Psycho-Demographic Analysis of the Facebook Rainbow Campaign. - Yilun Wang; Himabindu Lakkaraju; Michal Kosinski; Jure Leskovec (CoRR, 2016)

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. - Tim Althoff; Kevin Clark; Jure Leskovec (Trans. Assoc. Comput. Linguistics, 2016)

SNAP: A General-Purpose Network Analysis and Graph-Mining Library. - Jure Leskovec; Rok Sosic (ACM Trans. Intell. Syst. Technol., 2016)

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014. - Wei Wang 010; Jure Leskovec (ACM Trans. Knowl. Discov. Data, 2016)

Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. - Youngsuk Park; David Hallac; Stephen P. Boyd; Jure Leskovec (AISTATS, 2017)

Large-scale graph representation learning. - Jure Leskovec (IEEE BigData, 2017)

Modeling Affinity based Popularity Dynamics. - Minkyoung Kim; Daniel A. McFarland; Jure Leskovec (CIKM, 2017)

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. - Justin Cheng; Michael S. Bernstein; Cristian Danescu-Niculescu-Mizil; Jure Leskovec (CSCW, 2017)

Loyalty in Online Communities. - William L. Hamilton; Justine Zhang; Cristian Danescu-Niculescu-Mizil; Dan Jurafsky; Jure Leskovec (ICWSM, 2017)

Community Identity and User Engagement in a Multi-Community Landscape. - Justine Zhang; William L. Hamilton; Cristian Danescu-Niculescu-Mizil; Dan Jurafsky; Jure Leskovec (ICWSM, 2017)

Network Inference via the Time-Varying Graphical Lasso. - David Hallac; Youngsuk Park; Stephen P. Boyd; Jure Leskovec (KDD, 2017)

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. - David Hallac; Sagar Vare; Stephen P. Boyd; Jure Leskovec (KDD, 2017)

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. - Himabindu Lakkaraju; Jon M. Kleinberg; Jure Leskovec; Jens Ludwig; Sendhil Mullainathan (KDD, 2017)

Local Higher-Order Graph Clustering. - Hao Yin; Austin R. Benson; Jure Leskovec; David F. Gleich (KDD, 2017)

Inductive Representation Learning on Large Graphs. - William L. Hamilton; Zhitao Ying; Jure Leskovec (NIPS, 2017)

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. - Tim Althoff; Pranav Jindal; Jure Leskovec (WSDM, 2017)

Motifs in Temporal Networks. - Ashwin Paranjape; Austin R. Benson; Jure Leskovec (WSDM, 2017)

Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior. - Justin Cheng; Caroline Lo; Jure Leskovec (WWW (Companion Volume), 2017)

Antisocial Behavior on the Web: Characterization and Detection. - Srijan Kumar; Justin Cheng; Jure Leskovec (WWW (Companion Volume), 2017)

An Army of Me: Sockpuppets in Online Discussion Communities. - Srijan Kumar; Justin Cheng; Jure Leskovec; V. S. Subrahmanian (WWW, 2017)

Understanding Online Collection Growth Over Time: A Case Study of Pinterest. - Caroline Lo; Justin Cheng; Jure Leskovec (WWW (Companion Volume), 2017)

How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. - Ali Shameli; Tim Althoff; Amin Saberi; Jure Leskovec (WWW (Companion Volume), 2017)

Why We Read Wikipedia. - Philipp Singer; Florian Lemmerich; Robert West 001; Leila Zia; Ellery Wulczyn; Markus Strohmaier; Jure Leskovec (WWW, 2017)

Predicting multicellular function through multi-layer tissue networks. - Marinka Zitnik; Jure Leskovec (Bioinform., 2017)

Categorizing User Sessions at Pinterest. - Dorna Bandari; Shuo Xiang; Jure Leskovec (CoRR, 2017)

Interpretable & Explorable Approximations of Black Box Models. - Himabindu Lakkaraju; Ece Kamar; Rich Caruana; Jure Leskovec (CoRR, 2017)

Higher-order clustering in networks. - Hao Yin; Austin R. Benson; Jure Leskovec (CoRR, 2017)

Spectral Graph Wavelets for Structural Role Similarity in Networks. - Claire Donnat; Marinka Zitnik; David Hallac; Jure Leskovec (CoRR, 2017)

Representation Learning on Graphs: Methods and Applications. - William L. Hamilton; Rex Ying; Jure Leskovec (IEEE Data Eng. Bull., 2017)

Inferring Person-to-person Proximity Using WiFi Signals. - Piotr Sapiezynski; Arkadiusz Stopczynski; David Kofoed Wind; Jure Leskovec; Sune Lehmann (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

SnapVX: A Network-Based Convex Optimization Solver. - David Hallac; Christopher Wong; Steven Diamond; Abhijit Sharang; Rok Sosic; Stephen P. Boyd; Jure Leskovec (J. Mach. Learn. Res., 2017)

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. - Jiaxuan You; Rex Ying; Xiang Ren 001; William L. Hamilton; Jure Leskovec (ICML, 2018)

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. - Ramón Iglesias; Federico Rossi 001; Kevin Wang; David Hallac; Jure Leskovec; Marco Pavone 001 (ICRA, 2018)

Do Diffusion Protocols Govern Cascade Growth? - Justin Cheng; Jon M. Kleinberg; Jure Leskovec; David Liben-Nowell; Bogdan State; Karthik Subbian; Lada A. Adamic (ICWSM, 2018)

Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data. - David Hallac; Suvrat Bhooshan; Michael H. Chen; Kacem Abida; Rok Sosic; Jure Leskovec (ITSC, 2018)

Learning Structural Node Embeddings via Diffusion Wavelets. - Claire Donnat; Marinka Zitnik; David Hallac; Jure Leskovec (KDD, 2018)

Graph Convolutional Neural Networks for Web-Scale Recommender Systems. - Rex Ying; Ruining He; Kaifeng Chen; Pong Eksombatchai; William L. Hamilton; Jure Leskovec (KDD, 2018)

Dynamic Network Model from Partial Observations. - Elahe Ghalebi; Baharan Mirzasoleiman; Radu Grosu; Jure Leskovec (NeurIPS, 2018)

Embedding Logical Queries on Knowledge Graphs. - William L. Hamilton; Payal Bajaj; Marinka Zitnik; Dan Jurafsky; Jure Leskovec (NeurIPS, 2018)

Hierarchical Graph Representation Learning with Differentiable Pooling. - Zhitao Ying; Jiaxuan You; Christopher Morris 001; Xiang Ren 001; William L. Hamilton; Jure Leskovec (NeurIPS, 2018)

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. - Jiaxuan You; Bowen Liu; Zhitao Ying; Vijay S. Pande; Jure Leskovec (NeurIPS, 2018)

Large-scale analysis of disease pathways in the human interactome. - Monica Agrawal; Marinka Zitnik; Jure Leskovec (PSB, 2018)

MIS2: Misinformation and Misbehavior Mining on the Web. - Srijan Kumar; Meng Jiang 001; Taeho Jung; Roger Jie Luo; Jure Leskovec (WSDM, 2018)

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. - Zhiyuan Lin 001; Tim Althoff; Jure Leskovec (WWW, 2018)

Welcome on Behalf of the Wiki Workshop Chairs & Organization. - Robert West 001; Leila Zia; Dario Taraborelli; Jure Leskovec (WWW (Companion Volume), 2018)

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. - Chantat Eksombatchai; Pranav Jindal; Jerry Zitao Liu; Yuchen Liu; Rahul Sharma 001; Charles Sugnet; Mark Ulrich; Jure Leskovec (WWW, 2018)

Community Interaction and Conflict on the Web. - Srijan Kumar; William L. Hamilton; Jure Leskovec; Dan Jurafsky (WWW, 2018)

Modeling Interdependent and Periodic Real-World Action Sequences. - Takeshi Kurashima; Tim Althoff; Jure Leskovec (WWW, 2018)

Modeling Individual Cyclic Variation in Human Behavior. - Emma Pierson; Tim Althoff; Jure Leskovec (WWW, 2018)

The Shifting Landscape of Web Search and Mining: Past, Present, and Future. - Davood Rafiei; Eugene Agichtein; Ricardo Baeza-Yates; Jon M. Kleinberg; Jure Leskovec (WWW (Companion Volume), 2018)

Modeling polypharmacy side effects with graph convolutional networks. - Marinka Zitnik; Monica Agrawal; Jure Leskovec (Bioinform., 2018)

GraphRNN: A Deep Generative Model for Graphs. - Jiaxuan You; Rex Ying; Xiang Ren 001; William L. Hamilton; Jure Leskovec (CoRR, 2018)

Prioritizing network communities. - Marinka Zitnik; Rok Sosic; Jure Leskovec (CoRR, 2018)

Network Enhancement: a general method to denoise weighted biological networks. - Bo Wang 044; Armin Pourshafeie; Marinka Zitnik; Junjie Zhu; Carlos D. Bustamante; Serafim Batzoglou; Jure Leskovec (CoRR, 2018)

Querying Complex Networks in Vector Space. - William L. Hamilton; Payal Bajaj; Marinka Zitnik; Dan Jurafsky; Jure Leskovec (CoRR, 2018)

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. - Emma Pierson; Pang Wei Koh; Tatsunori B. Hashimoto; Daphne Koller; Jure Leskovec; Nicholas Eriksson; Percy Liang (CoRR, 2018)

CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. - Saachi Jain; David Hallac; Rok Sosic; Jure Leskovec (CoRR, 2018)

Offline Behaviors of Online Friends. - Piotr Sapiezynski; Arkadiusz Stopczynski; David Kofoed Wind; Jure Leskovec; Sune Lehmann (CoRR, 2018)

Predicting pregnancy using large-scale data from a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (CoRR, 2018)

Learning Dynamic Embeddings from Temporal Interactions. - Srijan Kumar; Xikun Zhang 001; Jure Leskovec (CoRR, 2018)

Faithful and Customizable Explanations of Black Box Models. - Himabindu Lakkaraju; Ece Kamar; Rich Caruana; Jure Leskovec (AIES, 2019)

Inferring Multidimensional Rates of Aging from Cross-Sectional Data. - Emma Pierson; Pang Wei Koh; Tatsunori B. Hashimoto; Daphne Koller; Jure Leskovec; Nick Eriksson; Percy Liang (AISTATS, 2019)

Categorizing User Sessions at Pinterest. - Dorna Bandari; Shuo Xiang; Jolie Martin; Jure Leskovec (BigComp, 2019)

Complete the Look: Scene-Based Complementary Product Recommendation. - Wang-Cheng Kang; Eric Kim; Jure Leskovec; Charles Rosenberg 001; Julian J. McAuley (CVPR, 2019)

How Powerful are Graph Neural Networks? - Keyulu Xu; Weihua Hu; Jure Leskovec; Stefanie Jegelka (ICLR, 2019)

Position-aware Graph Neural Networks. - Jiaxuan You; Rex Ying; Jure Leskovec (ICML, 2019)

Predicting dominance in multi-person videos. - Chongyang Bai; Maksim Bolonkin; Srijan Kumar; Jure Leskovec; Judee K. Burgoon; Norah E. Dunbar; V. S. Subrahmanian (IJCAI, 2019)

Predicting the Visual Focus of Attention in Multi-Person Discussion Videos. - Chongyang Bai; Srijan Kumar; Jure Leskovec; Miriam J. Metzger; Jay F. Nunamaker Jr.; V. S. Subrahmanian (IJCAI, 2019)

SAGE: A Hybrid Geopolitical Event Forecasting System. - Fred Morstatter; Aram Galstyan; Gleb Satyukov; Daniel Benjamin; Andrés Abeliuk; Mehrnoosh Mirtaheri; K. S. M. Tozammel Hossain; Pedro A. Szekely; Emilio Ferrara; Akira Matsui; Mark Steyvers; Stephen Bennett; et al. (IJCAI, 2019)

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. - Srijan Kumar; Xikun Zhang 001; Jure Leskovec (KDD, 2019)

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. - Hongwei Wang 004; Fuzheng Zhang; Mengdi Zhang; Jure Leskovec; Miao Zhao; Wenjie Li 002; Zhongyuan Wang 006 (KDD, 2019)

Hyperbolic Graph Convolutional Neural Networks. - Ines Chami; Zhitao Ying; Christopher Ré; Jure Leskovec (NeurIPS, 2019)

GNNExplainer: Generating Explanations for Graph Neural Networks. - Zhitao Ying; Dylan Bourgeois; Jiaxuan You; Marinka Zitnik; Jure Leskovec (NeurIPS, 2019)

G2SAT: Learning to Generate SAT Formulas. - Jiaxuan You; Haoze Wu 001; Clark W. Barrett; Raghuram Ramanujan; Jure Leskovec (NeurIPS, 2019)

The Local Closure Coefficient: A New Perspective On Network Clustering. - Hao Yin; Austin R. Benson; Jure Leskovec (WSDM, 2019)

Panel: Computational Methods about Knowledge Graph. - Jie Tang 001; Jure Leskovec; Kuansan Wang; Deborah L. McGuinness; Hassan Sawaf (WWW (Companion Volume), 2019)

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. - Mitchell L. Gordon; Tim Althoff; Jure Leskovec (WWW, 2019)

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. - Bo Liu 042; Shuyang Shi; Yongshang Wu; Daniel Thomas; Laura Symul; Emma Pierson; Jure Leskovec (WWW, 2019)

The First International Workshop on Knowledge Graph Technology and Applications. - Denny Vrandecic; Jure Leskovec (WWW (Companion Volume), 2019)

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. - Jiaxuan You; Yichen Wang 001; Aditya Pal; Pong Eksombatchai; Chuck Rosenberg 001; Jure Leskovec (WWW, 2019)

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. - Rex Ying; Dylan Bourgeois; Jiaxuan You; Marinka Zitnik; Jure Leskovec (CoRR, 2019)

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. - Hongwei Wang 004; Fuzheng Zhang; Mengdi Zhang; Jure Leskovec; Miao Zhao; Wenjie Li 002; Zhongyuan Wang 006 (CoRR, 2019)

Pre-training Graph Neural Networks. - Weihua Hu; Bowen Liu; Joseph Gomes; Marinka Zitnik; Percy Liang; Vijay S. Pande; Jure Leskovec (CoRR, 2019)

Data Sketching for Faster Training of Machine Learning Models. - Baharan Mirzasoleiman; Jeff A. Bilmes; Jure Leskovec (CoRR, 2019)

Redundancy-Free Computation Graphs for Graph Neural Networks. - Zhihao Jia; Sina Lin; Rex Ying; Jiaxuan You; Jure Leskovec; Alex Aiken (CoRR, 2019)

Improving Graph Attention Networks with Large Margin-based Constraints. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (CoRR, 2019)

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities. - Marinka Zitnik; Francis Nguyen; Bo Wang 044; Jure Leskovec; Anna Goldenberg; Michael M. Hoffman (Inf. Fusion, 2019)

Best practices for analyzing large-scale health data from wearables and smartphone apps. - Jennifer L. Hicks; Tim Althoff; Rok Sosic; Peter Kuhar; Bojan Bostjancic; Abby C. King; Jure Leskovec; Scott L. Delp (npj Digit. Medicine, 2019)

SIGKDD Impact Program 2018. - Rok Sosic; Rayid Ghani; Jure Leskovec (SIGKDD Explor., 2019)

Selection via Proxy: Efficient Data Selection for Deep Learning. - Cody Coleman; Christopher Yeh; Stephen Mussmann; Baharan Mirzasoleiman; Peter Bailis; Percy Liang; Jure Leskovec; Matei Zaharia (ICLR, 2020)

Strategies for Pre-training Graph Neural Networks. - Weihua Hu; Bowen Liu; Joseph Gomes; Marinka Zitnik; Percy Liang; Vijay S. Pande; Jure Leskovec (ICLR, 2020)

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. - Hongyu Ren; Weihua Hu; Jure Leskovec (ICLR, 2020)

Coresets for Data-efficient Training of Machine Learning Models. - Baharan Mirzasoleiman; Jeff A. Bilmes; Jure Leskovec (ICML, 2020)

Learning to Simulate Complex Physics with Graph Networks. - Alvaro Sanchez-Gonzalez; Jonathan Godwin; Tobias Pfaff; Rex Ying; Jure Leskovec; Peter W. Battaglia (ICML, 2020)

Graph Structure of Neural Networks. - Jiaxuan You; Jure Leskovec; Kaiming He; Saining Xie (ICML, 2020)

Redundancy-Free Computation for Graph Neural Networks. - Zhihao Jia; Sina Lin; Rex Ying; Jiaxuan You; Jure Leskovec; Alex Aiken (KDD, 2020)

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. - Aditya Pal; Chantat Eksombatchai; Yitong Zhou; Bo Zhao; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. - Carl Yang 001; Aditya Pal; Andrew Zhai; Nikil Pancha; Jiawei Han 001; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

Open Graph Benchmark: Datasets for Machine Learning on Graphs. - Weihua Hu; Matthias Fey; Marinka Zitnik; Yuxiao Dong; Hongyu Ren; Bowen Liu; Michele Catasta; Jure Leskovec (NeurIPS, 2020)

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning. - Pan Li 005; Yanbang Wang; Hongwei Wang 004; Jure Leskovec (NeurIPS, 2020)

Coresets for Robust Training of Deep Neural Networks against Noisy Labels. - Baharan Mirzasoleiman; Kaidi Cao; Jure Leskovec (NeurIPS, 2020)

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. - Hongyu Ren; Jure Leskovec (NeurIPS, 2020)

Graph Information Bottleneck. - Tailin Wu; Hongyu Ren; Pan Li 005; Jure Leskovec (NeurIPS, 2020)

Handling Missing Data with Graph Representation Learning. - Jiaxuan You; Xiaobai Ma; Daisy Yi Ding; Mykel J. Kochenderfer; Jure Leskovec (NeurIPS, 2020)

Design Space for Graph Neural Networks. - Jiaxuan You; Zhitao Ying; Jure Leskovec (NeurIPS, 2020)

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. - Hongyu Ren; Yuke Zhu; Jure Leskovec; Animashree Anandkumar; Animesh Garg (UAI, 2020)

Expanding Taxonomies with Implicit Edge Semantics. - Emaad A. Manzoor; Rui Li; Dhananjay Shrouty; Jure Leskovec (WWW, 2020)

Unifying Graph Convolutional Neural Networks and Label Propagation. - Hongwei Wang 004; Jure Leskovec (CoRR, 2020)

Entity Context and Relational Paths for Knowledge Graph Completion. - Hongwei Wang 004; Hongyu Ren; Jure Leskovec (CoRR, 2020)

Improving Query Safety at Pinterest. - Abhijit Mahabal; Yinrui Li; Rajat Raina; Daniel Sun 003; Revati Mahajan; Jure Leskovec (CoRR, 2020)

Neural Subgraph Matching. - Rex Ying; Zhaoyu Lou; Jiaxuan You; Chengtao Wen; Arquimedes Canedo; Jure Leskovec (CoRR, 2020)

Concept Learners for Generalizable Few-Shot Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (CoRR, 2020)

Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. - Pan Li 005; Yanbang Wang; Hongwei Wang 004; Jure Leskovec (CoRR, 2020)

Direct Multi-hop Attention based Graph Neural Network. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (CoRR, 2020)

Coresets for Robust Training of Neural Networks against Noisy Labels. - Baharan Mirzasoleiman; Kaidi Cao; Jure Leskovec (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Sara Beery; Jure Leskovec; Anshul Kundaje; et al. (CoRR, 2020)

Identity-aware Graph Neural Networks. - Jiaxuan You; Jonathan Michael Gomes Selman; Rex Ying; Jure Leskovec (AAAI, 2021)

LM-Critic: Language Models for Unsupervised Grammatical Error Correction. - Michihiro Yasunaga; Jure Leskovec; Percy Liang (EMNLP (1), 2021)

Concept Learners for Few-Shot Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (ICLR, 2021)

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. - Yanbang Wang; Yen-Yu Chang; Yunyu Liu; Jure Leskovec; Pan Li 005 (ICLR, 2021)

Language-Agnostic Representation Learning of Source Code from Structure and Context. - Daniel Zügner; Tobias Kirschstein; Michele Catasta; Jure Leskovec; Stephan Günnemann (ICLR, 2021)

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. - Matthias Fey; Jan Eric Lenssen; Frank Weichert; Jure Leskovec (ICML, 2021)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. - Hongyu Ren; Hanjun Dai; Bo Dai 001; Xinyun Chen; Michihiro Yasunaga; Haitian Sun; Dale Schuurmans; Jure Leskovec; Denny Zhou (ICML, 2021)

Deception Detection in Group Video Conversations using Dynamic Interaction Networks. - Srijan Kumar; Chongyang Bai; V. S. Subrahmanian; Jure Leskovec (ICWSM, 2021)

Multi-hop Attention Graph Neural Networks. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (IJCAI, 2021)

Inductive Learning on Commonsense Knowledge Graph Completion. - Bin Wang 040; Guangtao Wang; Jing Huang 019; Jiaxuan You; Jure Leskovec; C.-C. Jay Kuo (IJCNN, 2021)

Relational Message Passing for Knowledge Graph Completion. - Hongwei Wang 004; Hongyu Ren; Jure Leskovec (KDD, 2021)

Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. - Serina Chang; Mandy L. Wilson; Bryan L. Lewis; Zakaria Mehrab; Komal K. Dudakiya; Emma Pierson; Pang Wei Koh; Jaline Gerardin; Beth Redbird; David Grusky; Madhav V. Marathe; Jure Leskovec (KDD, 2021)

Bipartite Dynamic Representations for Abuse Detection. - Andrew Z. Wang; Rex Ying; Pan Li 005; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2021)

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. - Michihiro Yasunaga; Hongyu Ren; Antoine Bosselut; Percy Liang; Jure Leskovec (NAACL-HLT, 2021)

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones. - Yushi Bai; Zhitao Ying; Hongyu Ren; Jure Leskovec (NeurIPS, 2021)

Neural Distance Embeddings for Biological Sequences. - Gabriele Corso; Zhitao Ying; Michal Pándy; Petar Velickovic; Jure Leskovec; Pietro Liò (NeurIPS, 2021)

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. - Weihua Hu; Matthias Fey; Hongyu Ren; Maho Nakata; Yuxiao Dong; Jure Leskovec (NeurIPS Datasets and Benchmarks, 2021)

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. - Kexin Huang; Tianfan Fu; Wenhao Gao 001; Yue Zhao 016; Yusuf Roohani; Jure Leskovec; Connor W. Coley; Cao Xiao; Jimeng Sun 001; Marinka Zitnik (NeurIPS Datasets and Benchmarks, 2021)

Combiner: Full Attention Transformer with Sparse Computation Cost. - Hongyu Ren; Hanjun Dai; Zihang Dai; Mengjiao Yang 001; Jure Leskovec; Dale Schuurmans; Bo Dai 001 (NeurIPS, 2021)

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. - Yen-Yu Chang; Pan Li 005; Rok Sosic; M. H. Afifi; Marco Schweighauser; Jure Leskovec (WSDM, 2021)

TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. - Yanbang Wang; Pan Li 005; Chongyang Bai; Jure Leskovec (WWW, 2021)

Driver2vec: Driver Identification from Automotive Data. - Jingbo Yang; Ruge Zhao; Meixian Zhu; David Hallac; Jaka Sodnik; Jure Leskovec (CoRR, 2021)

Model-Agnostic Graph Regularization for Few-Shot Learning. - Ethan Shen; Maria Brbic; Nicholas Monath; Jiaqi Zhai; Manzil Zaheer; Jure Leskovec (CoRR, 2021)

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. - Kexin Huang; Tianfan Fu; Wenhao Gao 001; Yue Zhao 016; Yusuf Roohani; Jure Leskovec; Connor W. Coley; Cao Xiao; Jimeng Sun 001; Marinka Zitnik (CoRR, 2021)

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. - Weihua Hu; Muhammed Shuaibi; Abhishek Das; Siddharth Goyal; Anuroop Sriram; Jure Leskovec; Devi Parikh; C. Lawrence Zitnick (CoRR, 2021)

Post-mortem memory of public figures in news and social media. - Robert West 001; Jure Leskovec; Christopher Potts (CoRR, 2021)

Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies. - Alexandra M. Porter; Baharan Mirzasoleiman; Jure Leskovec (CoRR, 2021)

Companies under stress: the impact of shocks on the production network. - Róbert Pálovics; Primoz Dolenc; Jure Leskovec (EPJ Data Sci., 2021)

Mobility network models of COVID-19 explain inequities and inform reopening. - Serina Chang; Emma Pierson; Pang Wei Koh; Jaline Gerardin; Beth Redbird; David Grusky; Jure Leskovec (Nat., 2021)

Postmortem memory of public figures in news and social media. - Robert West 001; Jure Leskovec; Christopher Potts (Proc. Natl. Acad. Sci. USA, 2021)

Report on the 30th the web conference 2021 (TheWebConf2021). - Aljaz Kosmerlj; Marko Grobelnik; Jure Leskovec (SIGIR Forum, 2021)

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. - Zakaria Mehrab; Mandy L. Wilson; Serina Chang; Galen Harrison; Bryan L. Lewis; Alex Telionis; Justin Crow; Dennis Kim; Scott Spillmann; Kate Peters; Jure Leskovec; Madhav V. Marathe (AAAI, 2022)

LinkBERT: Pretraining Language Models with Document Links. - Michihiro Yasunaga; Jure Leskovec; Percy Liang (ACL (1), 2022)

GreaseLM: Graph REASoning Enhanced Language Models. - Xikun Zhang 001; Antoine Bosselut; Michihiro Yasunaga; Hongyu Ren; Percy Liang; Christopher D. Manning; Jure Leskovec (ICLR, 2022)

Open-World Semi-Supervised Learning. - Kaidi Cao; Maria Brbic; Jure Leskovec (ICLR, 2022)

Relational Multi-Task Learning: Modeling Relations between Data and Tasks. - Kaidi Cao; Jiaxuan You; Jure Leskovec (ICLR, 2022)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. - Paul Baltescu; Haoyu Chen; Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

Learning Backward Compatible Embeddings. - Weihua Hu; Rajas Bansal; Kaidi Cao; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2022)

PinnerFormer: Sequence Modeling for User Representation at Pinterest. - Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. - Hongyu Ren; Hanjun Dai; Bo Dai 001; Xinyun Chen; Denny Zhou; Jure Leskovec; Dale Schuurmans (KDD, 2022)

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. - Tailin Wu; Qinchen Wang; Yinan Zhang; Rex Ying; Kaidi Cao; Rok Sosic; Ridwan Jalali; Hassan Hamam; Marko Maucec; Jure Leskovec (KDD, 2022)

ROLAND: Graph Learning Framework for Dynamic Graphs. - Jiaxuan You; Tianyu Du; Jure Leskovec (KDD, 2022)

Learning Graph Search Heuristics. - Michal Pándy; Weikang Qiu; Gabriele Corso; Petar Velickovic; Zhitao Ying; Jure Leskovec; Pietro Liò (LoG, 2022)

Few-shot Relational Reasoning via Connection Subgraph Pretraining. - Qian Huang; Hongyu Ren; Jure Leskovec (NeurIPS, 2022)

Learning to Accelerate Partial Differential Equations via Latent Global Evolution. - Tailin Wu; Takashi Maruyama; Jure Leskovec (NeurIPS, 2022)

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. - Tailin Wu; Megan Tjandrasuwita; Zhengxuan Wu; Xuelin Yang; Kevin Liu; Rok Sosic; Jure Leskovec (NeurIPS, 2022)

Deep Bidirectional Language-Knowledge Graph Pretraining. - Michihiro Yasunaga; Antoine Bosselut; Hongyu Ren; Xikun Zhang 001; Christopher D. Manning; Percy Liang; Jure Leskovec (NeurIPS, 2022)

Analytical Models for Motifs in Temporal Networks. - Alexandra M. Porter; Baharan Mirzasoleiman; Jure Leskovec (WWW (Companion Volume), 2022)

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. - Xikun Zhang 001; Antoine Bosselut; Michihiro Yasunaga; Hongyu Ren; Percy Liang; Christopher D. Manning; Jure Leskovec (CoRR, 2022)

AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. - Tim Postuvan; Jiaxuan You; Mohammadreza Banaei; Rémi Lebret; Jure Leskovec (CoRR, 2022)

VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (CoRR, 2022)

ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. - Daniel Zeng 003; Tailin Wu; Jure Leskovec (CoRR, 2022)

Human interaction networks reveal that large cities facilitate segregation. - Hamed Nilforoshan; Wenli Looi; Emma Pierson; Blanca Villanueva; Nic Fishman; Yiling Chen; John Sholar; Beth Redbird; David Grusky; Jure Leskovec (CoRR, 2022)

Efficient Automatic Machine Learning via Design Graphs. - Shirley Wu; Jiaxuan You; Jure Leskovec; Rex Ying (CoRR, 2022)

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. - Weihua Hu; Kaidi Cao; Kexin Huang; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2022)

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. - Mathieu Chevalley; Yusuf Roohani; Arash Mehrjou; Jure Leskovec; Patrick Schwab (CoRR, 2022)

Guest Editorial: Non-Euclidean Machine Learning. - Stefanos Zafeiriou; Michael M. Bronstein; Taco Cohen; Oriol Vinyals; Le Song; Jure Leskovec; Pietro Liò; Joan Bruna; Marco Gori (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. - Saket Gurukar; Nikil Pancha; Andrew Zhai; Eric Kim; Samson Hu; Srinivasan Parthasarathy 001; Charles Rosenberg 001; Jure Leskovec (Proc. VLDB Endow., 2022)

Combining Graph Convolutional Neural Networks and Label Propagation. - Hongwei Wang 004; Jure Leskovec (ACM Trans. Inf. Syst., 2022)

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. - Serina Chang; Damir Vrabac; Jure Leskovec; Johan Ugander (AAAI, 2023)

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (ICCV, 2023)

AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. - Kaidi Cao; Jiaxuan You; Jiaju Liu; Jure Leskovec (ICLR, 2023)

Learning Controllable Adaptive Simulation for Multi-resolution Physics. - Tailin Wu; Takashi Maruyama; Qingqing Zhao; Gordon Wetzstein; Jure Leskovec (ICLR, 2023)

Geometric Latent Diffusion Models for 3D Molecule Generation. - Minkai Xu; Alexander S. Powers; Ron O. Dror; Stefano Ermon; Jure Leskovec (ICML, 2023)

Retrieval-Augmented Multimodal Language Modeling. - Michihiro Yasunaga; Armen Aghajanyan; Weijia Shi; Richard James 001; Jure Leskovec; Percy Liang; Mike Lewis; Luke Zettlemoyer; Wen-Tau Yih (ICML, 2023)

Graph and Geometry Generative Modeling for Drug Discovery. - Minkai Xu; Meng Liu 015; Wengong Jin; Shuiwang Ji; Jure Leskovec; Stefano Ermon (KDD, 2023)

Med-Flamingo: a Multimodal Medical Few-shot Learner. - Michael Moor; Qian Huang; Shirley Wu; Michihiro Yasunaga; Yash Dalmia; Jure Leskovec; Cyril Zakka; Eduardo Pontes Reis; Pranav Rajpurkar (ML4H@NeurIPS, 2023)

Learning Large Graph Property Prediction via Graph Segment Training. - Kaidi Cao; Phitchaya Mangpo Phothilimthana; Sami Abu-El-Haija; Dustin Zelle; Yanqi Zhou; Charith Mendis; Jure Leskovec; Bryan Perozzi (NeurIPS, 2023)

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. - Kexin Huang; Ying Jin; Emmanuel J. Candès; Jure Leskovec (NeurIPS, 2023)

Temporal Graph Benchmark for Machine Learning on Temporal Graphs. - Shenyang Huang; Farimah Poursafaei; Jacob Danovitch; Matthias Fey; Weihua Hu; Emanuele Rossi; Jure Leskovec; Michael M. Bronstein; Guillaume Rabusseau; Reihaneh Rabbany (NeurIPS, 2023)

PRODIGY: Enabling In-context Learning Over Graphs. - Qian Huang; Hongyu Ren; Peng Chen; Gregor Krzmanc; Daniel Zeng 003; Percy Liang; Jure Leskovec (NeurIPS, 2023)

Holistic Evaluation of Text-to-Image Models. - Tony Lee; Michihiro Yasunaga; Chenlin Meng; Yifan Mai; Joon Sung Park; Agrim Gupta; Yunzhi Zhang; Deepak Narayanan; Hannah Teufel; Marco Bellagente; Minguk Kang; Taesung Park; et al. (NeurIPS, 2023)

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. - Sitao Luan; Chenqing Hua; Minkai Xu; Qincheng Lu; Jiaqi Zhu; Xiao-Wen Chang; Jie Fu; Jure Leskovec; Doina Precup (NeurIPS, 2023)

Zero-shot causal learning. - Hamed Nilforoshan; Michael Moor; Yusuf Roohani; Yining Chen; Anja Surina; Michihiro Yasunaga; Sara Oblak; Jure Leskovec (NeurIPS, 2023)

High dimensional, tabular deep learning with an auxiliary knowledge graph. - Camilo Ruiz; Hongyu Ren; Kexin Huang; Jure Leskovec (NeurIPS, 2023)

Databases as Graphs: Predictive Queries for Declarative Machine Learning. - Jure Leskovec (PODS, 2023)

Harnessing Simulation for Molecular Embeddings. - Christopher Fifty; Joseph M. Paggi; Ehsan Amid; Jure Leskovec; Ron O. Dror (CoRR, 2023)

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. - Hongyu Ren; Mikhail Galkin 001; Michael Cochez; Zhaocheng Zhu; Jure Leskovec (CoRR, 2023)

Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. - Camilo Ruiz; Hongyu Ren; Kexin Huang; Jure Leskovec (CoRR, 2023)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. - Xuan Zhang; Limei Wang; Jacob Helwig; Youzhi Luo; Cong Fu 003; Yaochen Xie; Meng Liu 015; Yuchao Lin; Zhao Xu 005; Keqiang Yan; Keir Adams; Maurice Weiler; et al. (CoRR, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Communication-Free Distributed GNN Training with Vertex Cut. - Kaidi Cao; Rui Deng; Shirley Wu; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2023)

Benchmarking Large Language Models As AI Research Agents. - Qian Huang; Jian Vora; Percy Liang; Jure Leskovec (CoRR, 2023)

In-Context Learning for Few-Shot Molecular Property Prediction. - Christopher Fifty; Jure Leskovec; Sebastian Thrun (CoRR, 2023)

Relational Deep Learning: Graph Representation Learning on Relational Databases. - Matthias Fey; Weihua Hu; Kexin Huang; Jan Eric Lenssen; Rishabh Ranjan; Joshua Robinson 001; Rex Ying; Jiaxuan You; Jure Leskovec (CoRR, 2023)

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. - Shirley Wu; Kaidi Cao; Bruno Ribeiro 001; James Zou 001; Jure Leskovec (CoRR, 2023)

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. - Sajjad Fouladvand; Federico Reyes Gomez; Hamed Nilforoshan; Matthew Schwede; Morteza Noshad; Olivia Jee; Jiaxuan You; Rok Sosic; Jure Leskovec; Jonathan H. Chen (J. Biomed. Informatics, 2023)

Human mobility networks reveal increased segregation in large cities. - Hamed Nilforoshan; Wenli Looi; Emma Pierson; Blanca Villanueva; Nic Fishman; Yiling Chen; John Sholar; Beth Redbird; David Grusky; Jure Leskovec (Nat., 2023)

Scientific discovery in the age of artificial intelligence. - Hanchen Wang 002; Tianfan Fu; Yuanqi Du; Wenhao Gao 001; Kexin Huang; Ziming Liu; Payal Chandak; Shengchao Liu; Peter Van Katwyk; Andreea Deac; Anima Anandkumar; Karianne Bergen; et al. (Nat., 2023)

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. - Chongyang Bai; Haipeng Chen 001; Srijan Kumar; Jure Leskovec; V. S. Subrahmanian (IEEE Trans. Multim., 2023)

Hybrid forecasting of geopolitical events†. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (AI Mag., 2023)

Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN. - Yanay Rosen; Yusuf Roohani; Maria Brbic; Kyle Swanson; Ziang Li; Jure Leskovec (Zenodo, 2023)

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. - Tailin Wu; Willie Neiswanger; Hongtao Zheng; Stefano Ermon; Jure Leskovec (AAAI, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

Context-Aware Meta-Learning. - Christopher Fifty; Dennis Duan; Ronald G. Junkins; Ehsan Amid; Jure Leskovec; Christopher Ré; Sebastian Thrun (ICLR, 2024)

Compositional Generative Inverse Design. - Tailin Wu; Takashi Maruyama; Long Wei; Tao Zhang; Yilun Du; Gianluca Iaccarino; Jure Leskovec (ICLR, 2024)

Large Language Models as Analogical Reasoners. - Michihiro Yasunaga; Xinyun Chen; Yujia Li; Panupong Pasupat; Jure Leskovec; Percy Liang; Ed H. Chi; Denny Zhou (ICLR, 2024)

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. - Serina Chang; Frederic Koehler; Zhaonan Qu; Jure Leskovec; Johan Ugander (ICML, 2024)

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. - Matthias Fey; Weihua Hu; Kexin Huang; Jan Eric Lenssen; Rishabh Ranjan; Joshua Robinson 001; Rex Ying; Jiaxuan You; Jure Leskovec (ICML, 2024)

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. - Qian Huang; Jian Vora; Percy Liang; Jure Leskovec (ICML, 2024)

Equivariant Graph Neural Operator for Modeling 3D Dynamics. - Minkai Xu; Jiaqi Han; Aaron Lou; Jean Kossaifi; Arvind Ramanathan; Kamyar Azizzadenesheli; Jure Leskovec; Stefano Ermon; Anima Anandkumar (ICML, 2024)

TimeGraphs: Graph-based Temporal Reasoning. - Paridhi Maheshwari; Hongyu Ren; Yanan Wang 002; Rok Sosic; Jure Leskovec (CoRR, 2024)

Representation Learning for Frequent Subgraph Mining. - Rex Ying; Tianyu Fu 004; Andrew Wang; Jiaxuan You; Yu Wang 002; Jure Leskovec (CoRR, 2024)

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. - Weihua Hu; Yiwen Yuan; Zecheng Zhang; Akihiro Nitta; Kaidi Cao; Vid Kocijan; Jure Leskovec; Matthias Fey (CoRR, 2024)

From Similarity to Superiority: Channel Clustering for Time Series Forecasting. - Jialin Chen; Jan Eric Lenssen; Aosong Feng; Weihua Hu; Matthias Fey; Leandros Tassiulas; Jure Leskovec; Rex Ying (CoRR, 2024)

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. - Shirley Wu; Shiyu Zhao; Michihiro Yasunaga; Kexin Huang; Kaidi Cao; Qian Huang; Vassilis N. Ioannidis; Karthik Subbian; James Zou 001; Jure Leskovec (CoRR, 2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. - Yusuf Roohani; Jian Vora; Qian Huang; Zachary Steinhart; Alexander Marson; Percy Liang; Jure Leskovec (CoRR, 2024)

Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. - Jialiang Xu; Michael Moor; Jure Leskovec (CoRR, 2024)

Countrywide natural experiment reveals impact of built environment on physical activity. - Tim Althoff; Boris Ivanovic; Jennifer L. Hicks; Scott L. Delp; Abby C. King; Jure Leskovec (CoRR, 2024)

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. - Shirley Wu; Shiyu Zhao; Qian Huang; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Zou 001 (CoRR, 2024)

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. - Siyi Gu; Minkai Xu; Alexander S. Powers; Weili Nie; Tomas Geffner; Karsten Kreis; Jure Leskovec; Arash Vahdat; Stefano Ermon (CoRR, 2024)

Learning production functions for supply chains with graph neural networks. - Serina Chang; Zhiyin Lin; Benjamin Yan; Swapnil Bembde; Qi Xiu; Chi Heem Wong; Yu Qin; Frank Kloster; Alex Luo; Raj Palleti; Jure Leskovec (CoRR, 2024)

RelBench: A Benchmark for Deep Learning on Relational Databases. - Joshua Robinson 001; Rishabh Ranjan; Weihua Hu; Kexin Huang; Jiaqi Han; Alejandro Dobles; Matthias Fey; Jan Eric Lenssen; Yiwen Yuan; Zecheng Zhang; Xinwei He; Jure Leskovec (CoRR, 2024)

LLMs generate structurally realistic social networks but overestimate political homophily. - Serina Chang; Alicja Chaszczewicz; Emma Wang; Maya Josifovska; Emma Pierson; Jure Leskovec (CoRR, 2024)

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. - Charlotte Bunne; Yusuf Roohani; Yanay Rosen; Ankit Gupta; Xikun Zhang 001; Marcel Roed; Theo Alexandrov; Mohammed AlQuraishi; Patricia Brennan; Daniel B. Burkhardt; Andrea Califano; Jonah Cool; et al. (CoRR, 2024)