Leskovec, Jure

128 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

ICML 2025 Automated Hypothesis Validation with Agentic Sequential Falsifications Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes, Jure Leskovec

ICLR 2025 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

ICML 2025 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

ICLR 2025 ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaž Stojanovič, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey

ICLR 2025 Energy-Based Diffusion Language Models for Text Generation Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

ICLR 2025 Holographic Node Representations: Pre-Training Task-Agnostic Node Embeddings Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro

ICLR 2025 Learning Efficient Positional Encodings with Graph Neural Networks Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro

AAAI 2025 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

ICML 2025 RelGNN: Composite Message Passing for Relational Deep Learning Tianlang Chen, Charilaos Kanatsoulis, Jure Leskovec

ICLR 2025 TabDiff: A Mixed-Type Diffusion Model for Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

ICML 2025 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro

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

NeurIPS 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou

ICLRW 2024 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf H Roohani, Jian Vora, Qian Huang, Percy Liang, Jure Leskovec

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

ICLR 2024 Context-Aware Meta-Learning Christopher Fifty, Dennis Duan, Ronald Guenther Junkins, Ehsan Amid, Jure Leskovec, Christopher Re, Sebastian Thrun

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

NeurIPS 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

NeurIPS 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec

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

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

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

TMLR 2024 Neural Graph Reasoning: A Survey on Complex Logical Query Answering Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez

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, Rex Ying, Jiaxuan You, Jure Leskovec

NeurIPSW 2024 PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jinu Sunil, Jure Leskovec, Matthias Fey

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

NeurIPSW 2024 Relational Deep Learning: Graph Representation Learning on Relational Databases Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec

NeurIPS 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, Jure Leskovec

NeurIPSW 2024 Small-Cohort GWAS Discovery with AI over Massive Functional Genomics Knowledge Graph Kexin Huang, Tony Zeng, Soner Koc, Alexandra Pettet, Martin Jinye Zhang, Jure Leskovec

NeurIPSW 2024 TabDiff: A Unified Diffusion Model for Multi-Modal Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

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

ICLR 2024 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

ICMLW 2024 Zero-Shot Generalization of GNNs over Distinct Attribute Domains Yangyi Shen, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro

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

NeurIPSW 2023 Benchmarking Large Language Models as AI Research Agents Qian Huang, Jian Vora, Percy Liang, Jure Leskovec

NeurIPSW 2023 Compositional Generative Inverse Design Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec

NeurIPSW 2023 Context-Aware Meta-Learning Christopher Fifty, Dennis Duan, Ronald Guenther Junkins, Ehsan Amid, Jure Leskovec, Christopher Re, Sebastian Thrun

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

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

NeurIPS 2023 High Dimensional, Tabular Deep Learning with an Auxiliary Knowledge Graph Camilo Ruiz, Hongyu Ren, Kexin Huang, 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, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang

ICLR 2023 Learning Controllable Adaptive Simulation for Multi-Resolution Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

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

ICMLW 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 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

ICMLW 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

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

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 Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

NeurIPS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec

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

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 Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec

NeurIPSW 2022 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec

AAAI 2022 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

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

NeurIPSW 2022 Efficient Automatic Machine Learning via Design Graphs Ying-Xin Wu, Jiaxuan You, Jure Leskovec, Zhitao Ying

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, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

NeurIPS 2022 Few-Shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang, Hongyu Ren, Jure Leskovec

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

NeurIPSW 2022 Learning Controllable Adaptive Simulation for Multi-Scale Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

NeurIPSW 2022 Learning Efficient Hybrid Particle-Continuum Representations of Non-Equilibrium N-Body Systems Tailin Wu, Michael Sun, H.G. Jason Chou, Pranay Reddy Samala, Sithipont Cholsaipant, Sophia Kivelson, Jacqueline Yau, Zhitao Ying, E. Paulo Alves, Jure Leskovec, Frederico Fiuza

LoG 2022 Learning Graph Search Heuristics Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Veličković, Zhitao Ying, Jure Leskovec, Pietro Lio

NeurIPS 2022 Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu, Takashi Maruyama, Jure Leskovec

ICMLW 2022 LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga, Jure Leskovec, Percy Liang

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

NeurIPSW 2022 Tabular Deep Learning When $d \gg N$ by Using an Auxiliary Knowledge Graph Camilo Ruiz, Hongyu Ren, Kexin Huang, 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 2021 Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai

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

NeurIPSW 2021 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

ICML 2021 GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey, Jan E. Lenssen, Frank Weichert, Jure Leskovec

AAAI 2021 Identity-Aware Graph Neural Networks Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, 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

ICML 2021 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

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

NeurIPS 2021 Modeling Heterogeneous Hierarchies with Relation-Specific Hyperbolic Cones Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec

IJCAI 2021 Multi-Hop Attention Graph Neural Networks Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

NeurIPS 2021 Neural Distance Embeddings for Biological Sequences Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò

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

ICML 2020 Coresets for Data-Efficient Training of Machine Learning Models Baharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec

NeurIPS 2020 Coresets for Robust Training of Deep Neural Networks Against Noisy Labels Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec

NeurIPS 2020 Design Space for Graph Neural Networks Jiaxuan You, Zhitao Ying, Jure Leskovec

NeurIPS 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec

NeurIPS 2020 Graph Information Bottleneck Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec

ICML 2020 Graph Structure of Neural Networks Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

NeurIPS 2020 Handling Missing Data with Graph Representation Learning Jiaxuan You, Xiaobai Ma, Yi Ding, Mykel J Kochenderfer, Jure Leskovec

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

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

NeurIPS 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

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

ICLR 2020 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 Pande, Jure Leskovec

NeurIPS 2019 G2SAT: Learning to Generate SAT Formulas Jiaxuan You, Haoze Wu, Clark Barrett, Raghuram Ramanujan, Jure Leskovec

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

ICLR 2019 How Powerful Are Graph Neural Networks? Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka

NeurIPS 2019 Hyperbolic Graph Convolutional Neural Networks Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec

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

ICML 2019 Position-Aware Graph Neural Networks Jiaxuan You, Rex Ying, Jure Leskovec

IJCAI 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, 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

NeurIPS 2018 Dynamic Network Model from Partial Observations Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec

NeurIPS 2018 Embedding Logical Queries on Knowledge Graphs Will Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

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

ICML 2018 GraphRNN: Generating Realistic Graphs with Deep Auto-Regressive Models Jiaxuan You, Rex Ying, Xiang Ren, William Hamilton, Jure Leskovec

NeurIPS 2018 Hierarchical Graph Representation Learning with Differentiable Pooling Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec

IJCAI 2018 Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec

NeurIPS 2017 Inductive Representation Learning on Large Graphs Will Hamilton, Zhitao Ying, Jure Leskovec

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

MLOSS 2017 SnapVX: A Network-Based Convex Optimization Solver David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosič, Stephen Boyd, Jure Leskovec

NeurIPS 2016 Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making Himabindu Lakkaraju, Jure Leskovec

ICML 2013 Modeling Information Propagation with Survival Theory Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf

NeurIPS 2013 Nonparametric Multi-Group Membership Model for Dynamic Networks Myunghwan Kim, Jure Leskovec

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

ICML 2012 Latent Multi-Group Membership Graph Model Myunghwan Kim, Jure Leskovec

NeurIPS 2012 Learning to Discover Social Circles in Ego Networks Jure Leskovec, Julian J. Mcauley

UAI 2011 Modeling Social Networks with Node Attributes Using the Multiplicative Attribute Graph Model Myunghwan Kim, Jure Leskovec

JMLR 2010 Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg, Christos Faloutsos, Zoubin Ghahramani

NeurIPS 2010 On the Convexity of Latent Social Network Inference Seth Myers, Jure Leskovec

ICML 2009 Tutorial Summary: Large Social and Information Networks: Opportunities for ML Jure Leskovec

ICML 2007 Scalable Modeling of Real Graphs Using Kronecker Multiplication Jure Leskovec, Christos Faloutsos

ICML 2006 Data Association for Topic Intensity Tracking Andreas Krause, Jure Leskovec, Carlos Guestrin

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

ICML 2003 Linear Programming Boosting for Uneven Datasets Jure Leskovec, John Shawe-Taylor