Jure Leskovec
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
223
Venues
33
Active years
2003–2025
Best venue rank
A*
Where they publish
- A*WWW49 papers
- A*KDD41 papers
- A*ICML24 papers
- A*ICLR23 papers
- AWSDM16 papers
- AICWSM14 papers
- A*AAAI6 papers
- ASDM6 papers
- A*ICDM6 papers
- A*IJCAI5 papers
- A*ACL4 papers
- A*EMNLP3 papers
- ACIKM3 papers
- AUAI2 papers
- AAISTATS2 papers
- A*SIGMOD2 papers
- A*ICCV1 paper
- A*PODS1 paper
- BIJCNN1 paper
- ANAACL1 paper
- CAIES1 paper
- A*CVPR1 paper
- A*ICRA1 paper
- NationalPSB1 paper
- ACSCW1 paper
- ARecSys1 paper
- A*ECCV1 paper
- A*CHI1 paper
- CWAW1 paper
- A*ICDE1 paper
- A*INFOCOM1 paper
- BPAKDD1 paper
- A*VLDB1 paper
Papers
223 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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, Xi Luo, Raj Palleti, Jure Leskovec |
| 2025 | ACL | Large Language Models are Good Relational Learners. | Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec |
| 2025 | ICLR | Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. | Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro |
| 2025 | ICLR | Learning Efficient Positional Encodings with Graph Neural Networks. | Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro |
| 2025 | ICLR | BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. | Yusuf H. Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec |
| 2025 | ICLR | TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. | Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec |
| 2025 | ICLR | Energy-Based Diffusion Language Models for Text Generation. | Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat |
| 2025 | ICLR | ContextGNN: Beyond Two-Tower Recommendation Systems. | Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey |
| 2025 | ICML | RelGNN: Composite Message Passing for Relational Deep Learning. | Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec |
| 2025 | ICML | Automated Hypothesis Validation with Agentic Sequential Falsifications. | Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel J. Cands, Jure Leskovec |
| 2025 | ICML | Zero-Shot Generalization of GNNs over Distinct Attribute Domains. | Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro |
| 2025 | ICML | CollabLLM: From Passive Responders to Active Collaborators. | Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao |
| 2025 | ICWSM | LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily. | Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec |
| 2025 | KDD | Surface-based Molecular Design with Multi-modal Flow Matching. | Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu |
| 2025 | KDD | Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures. | Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec |
| 2025 | WWW | From Retrieval to Reasoning: Advancing AI Agents for Knowledge Discovery and Collaboration. | Jure Leskovec |
| 2024 | AAAI | Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. | Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec |
| 2024 | ICLR | VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. | Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec |
| 2024 | ICLR | Context-Aware Meta-Learning. | Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher R, Sebastian Thrun |
| 2024 | ICLR | Compositional Generative Inverse Design. | Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec |
| 2024 | ICLR | Large Language Models as Analogical Reasoners. | Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou |
| 2024 | ICML | Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. | Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander |
| 2024 | ICML | Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. | Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec |
| 2024 | ICML | MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation. | Qian Huang, Jian Vora, Percy Liang, Jure Leskovec |
| 2024 | ICML | 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 |
| 2023 | AAAI | Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. | Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander |
| 2023 | ICCV | VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. | Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec |
| 2023 | ICLR | AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. | Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec |
| 2023 | ICLR | Learning Controllable Adaptive Simulation for Multi-resolution Physics. | Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec |
| 2023 | ICML | Geometric Latent Diffusion Models for 3D Molecule Generation. | Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec |
| 2023 | ICML | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2023 | KDD | Graph and Geometry Generative Modeling for Drug Discovery. | Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon |
| 2023 | PODS | Databases as Graphs: Predictive Queries for Declarative Machine Learning. | Jure Leskovec |
| 2022 | AAAI | 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 |
| 2022 | ACL | LinkBERT: Pretraining Language Models with Document Links. | Michihiro Yasunaga, Jure Leskovec, Percy Liang |
| 2022 | ICLR | GreaseLM: Graph REASoning Enhanced Language Models. | Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec |
| 2022 | ICLR | Open-World Semi-Supervised Learning. | Kaidi Cao, Maria Brbic, Jure Leskovec |
| 2022 | ICLR | Relational Multi-Task Learning: Modeling Relations between Data and Tasks. | Kaidi Cao, Jiaxuan You, Jure Leskovec |
| 2022 | ICLR | 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, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang |
| 2022 | KDD | ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. | Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg |
| 2022 | KDD | Learning Backward Compatible Embeddings. | Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2022 | KDD | PinnerFormer: Sequence Modeling for User Representation at Pinterest. | Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg |
| 2022 | KDD | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans |
| 2022 | KDD | 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 |
| 2022 | KDD | ROLAND: Graph Learning Framework for Dynamic Graphs. | Jiaxuan You, Tianyu Du, Jure Leskovec |
| 2022 | WWW | Analytical Models for Motifs in Temporal Networks. | Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec |
| 2021 | AAAI | Identity-aware Graph Neural Networks. | Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec |
| 2021 | EMNLP | LM-Critic: Language Models for Unsupervised Grammatical Error Correction. | Michihiro Yasunaga, Jure Leskovec, Percy Liang |
| 2021 | ICLR | Concept Learners for Few-Shot Learning. | Kaidi Cao, Maria Brbic, Jure Leskovec |
| 2021 | ICLR | Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. | Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li |
| 2021 | ICLR | Language-Agnostic Representation Learning of Source Code from Structure and Context. | Daniel Zgner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Gnnemann |
| 2021 | ICML | GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. | Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec |
| 2021 | ICML | 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, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang |
| 2021 | ICML | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou |
| 2021 | IJCAI | Multi-hop Attention Graph Neural Networks. | Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec |
| 2021 | IJCNN | Inductive Learning on Commonsense Knowledge Graph Completion. | Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo |
| 2021 | ICWSM | Deception Detection in Group Video Conversations using Dynamic Interaction Networks. | Srijan Kumar, Chongyang Bai, V. S. Subrahmanian, Jure Leskovec |
| 2021 | KDD | Relational Message Passing for Knowledge Graph Completion. | Hongwei Wang, Hongyu Ren, Jure Leskovec |
| 2021 | KDD | 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 |
| 2021 | KDD | Bipartite Dynamic Representations for Abuse Detection. | Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | NAACL | QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. | Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec |
| 2021 | WWW | TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. | Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec |
| 2021 | WSDM | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. | Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec |
| 2020 | ICLR | 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 |
| 2020 | ICLR | Strategies for Pre-training Graph Neural Networks. | Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec |
| 2020 | ICLR | Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. | Hongyu Ren, Weihua Hu, Jure Leskovec |
| 2020 | ICML | Coresets for Data-efficient Training of Machine Learning Models. | Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec |
| 2020 | ICML | Learning to Simulate Complex Physics with Graph Networks. | Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia |
| 2020 | ICML | Graph Structure of Neural Networks. | Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie |
| 2020 | KDD | Redundancy-Free Computation for Graph Neural Networks. | Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken |
| 2020 | KDD | PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest. | Aditya Pal, Chantat Eksombatchai, Yitong Zhou, Bo Zhao, Charles Rosenberg, Jure Leskovec |
| 2020 | KDD | MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. | Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec |
| 2020 | WWW | Expanding Taxonomies with Implicit Edge Semantics. | Emaad A. Manzoor, Rui Li, Dhananjay Shrouty, Jure Leskovec |
| 2020 | UAI | OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation. | Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg |
| 2019 | AIES | Faithful and Customizable Explanations of Black Box Models. | Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec |
| 2019 | AISTATS | 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 |
| 2019 | CVPR | Complete the Look: Scene-Based Complementary Product Recommendation. | Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley |
| 2019 | ICLR | How Powerful are Graph Neural Networks? | Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka |
| 2019 | ICML | Position-aware Graph Neural Networks. | Jiaxuan You, Rex Ying, Jure Leskovec |
| 2019 | IJCAI | Predicting dominance in multi-person videos. | Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | SAGE: A Hybrid Geopolitical Event Forecasting System. | Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrs Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas |
| 2019 | KDD | Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. | Srijan Kumar, Xikun Zhang, Jure Leskovec |
| 2019 | KDD | Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. | Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang |
| 2019 | WWW | Panel: Computational Methods about Knowledge Graph. | Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf |
| 2019 | WWW | Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. | Mitchell L. Gordon, Tim Althoff, Jure Leskovec |
| 2019 | WWW | Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. | Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec |
| 2019 | WWW | The First International Workshop on Knowledge Graph Technology and Applications. | Denny Vrandecic, Jure Leskovec |
| 2019 | WWW | Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. | Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec |
| 2019 | WSDM | The Local Closure Coefficient: A New Perspective On Network Clustering. | Hao Yin, Austin R. Benson, Jure Leskovec |
| 2018 | ICML | GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. | Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec |
| 2018 | IJCAI | Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. | David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec |
| 2018 | ICRA | Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. | Ramn Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone |
| 2018 | ICWSM | Do Diffusion Protocols Govern Cascade Growth? | Justin Cheng, Jon M. Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada A. Adamic |
| 2018 | KDD | Learning Structural Node Embeddings via Diffusion Wavelets. | Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec |
| 2018 | KDD | Graph Convolutional Neural Networks for Web-Scale Recommender Systems. | Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec |
| 2018 | PSB | Large-scale analysis of disease pathways in the human interactome. | Monica Agrawal, Marinka Zitnik, Jure Leskovec |
| 2018 | WWW | I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. | Zhiyuan Lin, Tim Althoff, Jure Leskovec |
| 2018 | WWW | Welcome on Behalf of the Wiki Workshop Chairs & Organization. | Robert West, Leila Zia, Dario Taraborelli, Jure Leskovec |
| 2018 | WWW | 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, Charles Sugnet, Mark Ulrich, Jure Leskovec |
| 2018 | WWW | Community Interaction and Conflict on the Web. | Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky |
| 2018 | WWW | Modeling Interdependent and Periodic Real-World Action Sequences. | Takeshi Kurashima, Tim Althoff, Jure Leskovec |
| 2018 | WWW | Modeling Individual Cyclic Variation in Human Behavior. | Emma Pierson, Tim Althoff, Jure Leskovec |
| 2018 | WWW | The Shifting Landscape of Web Search and Mining: Past, Present, and Future. | Davood Rafiei, Eugene Agichtein, Ricardo Baeza-Yates, Jon M. Kleinberg, Jure Leskovec |
| 2018 | WSDM | MIS2: Misinformation and Misbehavior Mining on the Web. | Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec |
| 2017 | AISTATS | Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. | Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec |
| 2017 | CIKM | Modeling Affinity based Popularity Dynamics. | Minkyoung Kim, Daniel A. McFarland, Jure Leskovec |
| 2017 | CSCW | Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. | Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec |
| 2017 | ICWSM | Loyalty in Online Communities. | William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec |
| 2017 | ICWSM | Community Identity and User Engagement in a Multi-Community Landscape. | Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec |
| 2017 | KDD | Network Inference via the Time-Varying Graphical Lasso. | David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec |
| 2017 | KDD | Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. | David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec |
| 2017 | KDD | The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. | Himabindu Lakkaraju, Jon M. Kleinberg, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan |
| 2017 | KDD | Local Higher-Order Graph Clustering. | Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich |
| 2017 | WWW | Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior. | Justin Cheng, Caroline Lo, Jure Leskovec |
| 2017 | WWW | Antisocial Behavior on the Web: Characterization and Detection. | Srijan Kumar, Justin Cheng, Jure Leskovec |
| 2017 | WWW | An Army of Me: Sockpuppets in Online Discussion Communities. | Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian |
| 2017 | WWW | Understanding Online Collection Growth Over Time: A Case Study of Pinterest. | Caroline Lo, Justin Cheng, Jure Leskovec |
| 2017 | WWW | How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. | Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec |
| 2017 | WWW | Why We Read Wikipedia. | Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec |
| 2017 | WSDM | Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. | Tim Althoff, Pranav Jindal, Jure Leskovec |
| 2017 | WSDM | Motifs in Temporal Networks. | Ashwin Paranjape, Austin R. Benson, Jure Leskovec |
| 2016 | ACL | Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. | William L. Hamilton, Jure Leskovec, Dan Jurafsky |
| 2016 | EMNLP | Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. | William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky |
| 2016 | EMNLP | Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. | William L. Hamilton, Jure Leskovec, Dan Jurafsky |
| 2016 | KDD | node2vec: Scalable Feature Learning for Networks. | Aditya Grover, Jure Leskovec |
| 2016 | KDD | Interpretable Decision Sets: A Joint Framework for Description and Prediction. | Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec |
| 2016 | KDD | Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest. | Caroline Lo, Dan Frankowski, Jure Leskovec |
| 2016 | WWW | Do Cascades Recur? | Justin Cheng, Lada A. Adamic, Jon M. Kleinberg, Jure Leskovec |
| 2016 | WWW | Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes. | Srijan Kumar, Robert West, Jure Leskovec |
| 2016 | WWW | Growing Wikipedia Across Languages via Recommendation. | Ellery Wulczyn, Robert West, Leila Zia, Jure Leskovec |
| 2016 | SIGMOD | Beyond nodes and edges: multiresolution algorithms for network data. | Jure Leskovec |
| 2016 | WSDM | Improving Website Hyperlink Structure Using Server Logs. | Ashwin Paranjape, Robert West, Leila Zia, Jure Leskovec |
| 2015 | ICWSM | Antisocial Behavior in Online Discussion Communities. | Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec |
| 2015 | KDD | Network Lasso: Clustering and Optimization in Large Graphs. | David Hallac, Jure Leskovec, Stephen P. Boyd |
| 2015 | KDD | Inferring Networks of Substitutable and Complementary Products. | Julian J. McAuley, Rahul Pandey, Jure Leskovec |
| 2015 | KDD | SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. | Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec |
| 2015 | WWW | Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia. | Robert West, Ashwin Paranjape, Jure Leskovec |
| 2015 | WWW | Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. | Tim Althoff, Jure Leskovec |
| 2015 | WWW | Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily. | Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec, Mitul Tiwari |
| 2015 | WWW | QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. | Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec |
| 2015 | WWW | Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference. | Rok Sosic, Jure Leskovec |
| 2015 | SIGMOD | Ringo: Interactive Graph Analytics on Big-Memory Machines. | Yonathan Perez, Rok Sosic, Arijit Banerjee, Rohan Puttagunta, Martin Raison, Pararth Shah, Jure Leskovec |
| 2015 | WSDM | New Directions in Recommender Systems. | Jure Leskovec |
| 2015 | SDM | Tensor Spectral Clustering for Partitioning Higher-order Network Structures. | Austin R. Benson, David F. Gleich, Jure Leskovec |
| 2015 | SDM | A Bayesian Framework for Modeling Human Evaluations. | Himabindu Lakkaraju, Jure Leskovec, Jon M. Kleinberg, Sendhil Mullainathan |
| 2014 | ICWSM | How Community Feedback Shapes User Behavior. | Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec |
| 2014 | WWW | Engaging with massive online courses. | Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec |
| 2014 | WWW | Status and friendship: mechanisms of social network evolution. | Christina Brandt, Jure Leskovec |
| 2014 | WWW | Can cascades be predicted? | Justin Cheng, Lada A. Adamic, P. Alex Dow, Jon M. Kleinberg, Jure Leskovec |
| 2014 | WWW | The bursty dynamics of the Twitter information network. | Seth A. Myers, Jure Leskovec |
| 2014 | WWW | Finding progression stages in time-evolving event sequences. | Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah |
| 2014 | WSDM | The last click: why users give up information network navigation. | Aju Thalappillil Scaria, Rose Marie Philip, Robert West, Jure Leskovec |
| 2014 | WSDM | Detecting cohesive and 2-mode communities indirected and undirected networks. | Jaewon Yang, Julian J. McAuley, Jure Leskovec |
| 2013 | ACL | A computational approach to politeness with application to social factors. | Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, Christopher Potts |
| 2013 | CIKM | Channeling the deluge: research challenges for big data and information systems. | Paul Bennett, C. Lee Giles, Alon Y. Halevy, Jiawei Han, Marti A. Hearst, Jure Leskovec |
| 2013 | ICDM | Community Detection in Networks with Node Attributes. | Jaewon Yang, Julian J. McAuley, Jure Leskovec |
| 2013 | ICML | Modeling Information Propagation with Survival Theory. | Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schlkopf |
| 2013 | ICWSM | What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. | Himabindu Lakkaraju, Julian J. McAuley, Jure Leskovec |
| 2013 | KDD | Information cartography: creating zoomable, large-scale maps of information. | Dafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec |
| 2013 | RecSys | Hidden factors and hidden topics: understanding rating dimensions with review text. | Julian J. McAuley, Jure Leskovec |
| 2013 | WWW | Steering user behavior with badges. | Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec |
| 2013 | WWW | No country for old members: user lifecycle and linguistic change in online communities. | Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, Christopher Potts |
| 2013 | WWW | How status and reputation shape human evaluations: consequences for recommender systems. | Jure Leskovec |
| 2013 | WWW | From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. | Julian J. McAuley, Jure Leskovec |
| 2013 | WWW | NIFTY: a system for large scale information flow tracking and clustering. | Caroline Suen, Sandy Huang, Chantat Eksombatchai, Rok Sosic, Jure Leskovec |
| 2013 | WSDM | Structure and dynamics of information pathways in online media. | Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schlkopf |
| 2013 | WSDM | Overlapping community detection at scale: a nonnegative matrix factorization approach. | Jaewon Yang, Jure Leskovec |
| 2012 | ECCV | Image Labeling on a Network: Using Social-Network Metadata for Image Classification. | Julian J. McAuley, Jure Leskovec |
| 2012 | ICDM | Learning Attitudes and Attributes from Multi-aspect Reviews. | Julian J. McAuley, Jure Leskovec, Dan Jurafsky |
| 2012 | ICDM | Clash of the Contagions: Cooperation and Competition in Information Diffusion. | Seth A. Myers, Jure Leskovec |
| 2012 | ICDM | Defining and Evaluating Network Communities Based on Ground-Truth. | Jaewon Yang, Jure Leskovec |
| 2012 | ICDM | Community-Affiliation Graph Model for Overlapping Network Community Detection. | Jaewon Yang, Jure Leskovec |
| 2012 | ICML | Latent Multi-group Membership Graph Model. | Myunghwan Kim, Jure Leskovec |
| 2012 | ICWSM | Automatic Versus Human Navigation in Information Networks. | Robert West, Jure Leskovec |
| 2012 | KDD | 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 |
| 2012 | KDD | Information diffusion and external influence in networks. | Seth A. Myers, Chenguang Zhu, Jure Leskovec |
| 2012 | WWW | Human wayfinding in information networks. | Robert West, Jure Leskovec |
| 2012 | WSDM | Effects of user similarity in social media. | Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, Jure Leskovec |
| 2012 | WSDM | The life and death of online groups: predicting group growth and longevity. | Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec |
| 2011 | ICWSM | Sentiment Flow Through Hyperlink Networks. | Mahalia Miller, Conal Sathi, Daniel Wiesenthal, Jure Leskovec, Christopher Potts |
| 2011 | ICWSM | LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. | Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky |
| 2011 | KDD | Friendship and mobility: user movement in location-based social networks. | Eunjoon Cho, Seth A. Myers, Jure Leskovec |
| 2011 | WWW | Social media: source of information or bunch of noise. | Amr El Abaddi, Lars Backstrom, Soumen Chakrabarti, Alejandro Jaimes, Jure Leskovec, Andrew Tomkins |
| 2011 | WWW | Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success. | Simla Ceyhan, Xiaolin Shi, Jure Leskovec |
| 2011 | WWW | Social media analytics: tracking, modeling and predicting the flow of information through networks. | Jure Leskovec |
| 2011 | UAI | Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model. | Myunghwan Kim, Jure Leskovec |
| 2011 | WSDM | Supervised random walks: predicting and recommending links in social networks. | Lars Backstrom, Jure Leskovec |
| 2011 | WSDM | Correcting for missing data in information cascades. | Eldar Sadikov, Montserrat Medina, Jure Leskovec, Hector Garcia-Molina |
| 2011 | WSDM | Patterns of temporal variation in online media. | Jaewon Yang, Jure Leskovec |
| 2011 | SDM | The Network Completion Problem: Inferring Missing Nodes and Edges in Networks. | Myunghwan Kim, Jure Leskovec |
| 2010 | CHI | Signed networks in social media. | Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg |
| 2010 | ICDM | Modeling Information Diffusion in Implicit Networks. | Jaewon Yang, Jure Leskovec |
| 2010 | ICWSM | Governance in Social Media: A Case Study of the Wikipedia Promotion Process. | Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg |
| 2010 | KDD | Inferring networks of diffusion and influence. | Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause |
| 2010 | WWW | Predicting positive and negative links in online social networks. | Jure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg |
| 2010 | WWW | Empirical comparison of algorithms for network community detection. | Jure Leskovec, Kevin J. Lang, Michael W. Mahoney |
| 2010 | SDM | Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. | U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec |
| 2010 | WAW | Multiplicative Attribute Graph Model of Real-World Networks. | Myunghwan Kim, Jure Leskovec |
| 2009 | CIKM | Networks, communities and kronecker products. | Jure Leskovec |
| 2009 | ICML | Tutorial summary: Large social and information networks: opportunities for ML. | Jure Leskovec |
| 2009 | ICWSM | Modeling Blog Dynamics. | Michaela Goetz, Jure Leskovec, Mary McGlohon, Christos Faloutsos |
| 2009 | KDD | Meme-tracking and the dynamics of the news cycle. | Jure Leskovec, Lars Backstrom, Jon M. Kleinberg |
| 2009 | SDM | ShatterPlots: Fast Tools for Mining Large Graphs. | Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins |
| 2008 | ICDE | Monitoring Network Evolution using MDL. | Jure Ferlez, Christos Faloutsos, Jure Leskovec, Dunja Mladenic, Marko Grobelnik |
| 2008 | KDD | Social networks: looking ahead. | Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins |
| 2008 | KDD | Microscopic evolution of social networks. | Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins |
| 2008 | KDD | Mobile call graphs: beyond power-law and lognormal distributions. | Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos, Jure Leskovec |
| 2008 | WWW | Planetary-scale views on a large instant-messaging network. | Jure Leskovec, Eric Horvitz |
| 2008 | WWW | Statistical properties of community structure in large social and information networks. | Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney |
| 2007 | ICML | Scalable modeling of real graphs using Kronecker multiplication. | Jure Leskovec, Christos Faloutsos |
| 2007 | INFOCOM | Information Survival Threshold in Sensor and P2P Networks. | Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos |
| 2007 | ICWSM | Finding patterns in blog shapes and blog evolution. | Mary McGlohon, Jure Leskovec, Christos Faloutsos, Matthew Hurst, Natalie S. Glance |
| 2007 | KDD | Cost-effective outbreak detection in networks. | Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance |
| 2007 | WWW | Web projections: learning from contextual subgraphs of the web. | Jure Leskovec, Susan T. Dumais, Eric Horvitz |
| 2007 | SDM | Patterns of Cascading Behavior in Large Blog Graphs. | Jure Leskovec, Mary McGlohon, Christos Faloutsos, Natalie S. Glance, Matthew Hurst |
| 2006 | ICML | Data association for topic intensity tracking. | Andreas Krause, Jure Leskovec, Carlos Guestrin |
| 2006 | KDD | Sampling from large graphs. | Jure Leskovec, Christos Faloutsos |
| 2006 | PAKDD | Patterns of Influence in a Recommendation Network. | Jure Leskovec, Ajit Singh, Jon M. Kleinberg |
| 2006 | VLDB | GMine: A System for Scalable, Interactive Graph Visualization and Mining. | Jos Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec |
| 2005 | AAAI | Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts. | Jure Leskovec, Natasa Milic-Frayling, Marko Grobelnik |
| 2005 | KDD | Graphs over time: densification laws, shrinking diameters and possible explanations. | Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos |
| 2003 | ICML | Linear Programming Boosting for Uneven Datasets. | Jure Leskovec, John Shawe-Taylor |