Jure Leskovec

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 349

Top Venues

Publications

Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. AAAI (2024)
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
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR (2024)
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR (2024)
Jialiang Xu, Michael Moor, Jure Leskovec
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs. CoRR (2024)
Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec
Representation Learning for Frequent Subgraph Mining. CoRR (2024)
Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec
Compositional Generative Inverse Design. ICLR (2024)
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR (2024)
Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR (2024)
Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
Context-Aware Meta-Learning. ICLR (2024)
Yusuf Roohani, Jian Vora, Qian Huang, Zachary Steinhart, Alexander Marson, Percy Liang, Jure Leskovec
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. CoRR (2024)
Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar
Equivariant Graph Neural Operator for Modeling 3D Dynamics. CoRR (2024)
Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. CoRR (2024)
Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR (2024)
Paridhi Maheshwari, Hongyu Ren, Yanan Wang, Rok Sosic, Jure Leskovec
TimeGraphs: Graph-based Temporal Reasoning. CoRR (2024)
Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. CoRR (2024)
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Large Language Models as Analogical Reasoners. ICLR (2024)
Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Alex Luo, Raj Palleti, Jure Leskovec
Learning production functions for supply chains with graph neural networks. CoRR (2024)
Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR (2024)
Tim Althoff, Boris Ivanovic, Jennifer L. Hicks, Scott L. Delp, Abby C. King, Jure Leskovec
Countrywide natural experiment reveals impact of built environment on physical activity. CoRR (2024)
Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec
Compositional Generative Inverse Design. CoRR (2024)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR (2024)
Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
Geometric Latent Diffusion Models for 3D Molecule Generation. ICML (2023)
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, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
. AI Mag. 44 (1) (2023)
Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Zero-shot causal learning. NeurIPS (2023)
Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, Jure Leskovec
PRODIGY: Enabling In-context Learning Over Graphs. CoRR (2023)
Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR (2023)
Christopher Fifty, Joseph M. Paggi, Ehsan Amid, Jure Leskovec, Ron Dror
Harnessing Simulation for Molecular Embeddings. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR (2023)
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR (2023)
Qian Huang, Hongyu Ren, Peng Chen, Gregor Krzmanc, Daniel Zeng, Percy Liang, Jure Leskovec
PRODIGY: Enabling In-context Learning Over Graphs. NeurIPS (2023)
Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143 (2023)
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Large Language Models as Analogical Reasoners. CoRR (2023)
Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
Benchmarking Large Language Models As AI Research Agents. CoRR (2023)
Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
Context-Aware Meta-Learning. CoRR (2023)
Christopher Fifty, Jure Leskovec, Sebastian Thrun
In-Context Learning for Few-Shot Molecular Property Prediction. CoRR (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR (2023)
Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. ICCV (2023)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR (2023)
Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
Communication-Free Distributed GNN Training with Vertex Cut. CoRR (2023)
Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR (2023)
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, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, 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 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
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec
Learning Controllable Adaptive Simulation for Multi-resolution Physics. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS (2023)
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR (2023)
Jure Leskovec
Databases as Graphs: Predictive Queries for Declarative Machine Learning. PODS (2023)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR (2023)
Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS (2023)
Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR (2023)
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang
Holistic Evaluation of Text-To-Image Models. CoRR (2023)
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
Holistic Evaluation of Text-to-Image Models. NeurIPS (2023)
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih
Retrieval-Augmented Multimodal Language Modeling. ICML (2023)
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
High dimensional, tabular deep learning with an auxiliary knowledge graph. NeurIPS (2023)
Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. IEEE Trans. Multim. 25 (2023)
Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec
Learning Controllable Adaptive Simulation for Multi-resolution Physics. ICLR (2023)
Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon
Graph and Geometry Generative Modeling for Drug Discovery. KDD (2023)
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS (2023)
Minkai Xu, Alexander Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
Geometric Latent Diffusion Models for 3D Molecule Generation. CoRR (2023)
Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI (2023)
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
Human mobility networks reveal increased segregation in large cities. Nat. 624 (7992) (2023)
Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS (2023)
Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Surina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Zero-shot causal learning. CoRR (2023)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR (2022)
Tailin Wu, Takashi Maruyama, Jure Leskovec
Learning to Accelerate Partial Differential Equations via Latent Global Evolution. NeurIPS (2022)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR (2022)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD (2022)
Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg
PinnerFormer: Sequence Modeling for User Representation at Pinterest. CoRR (2022)
Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. CoRR (2022)
Alexandra M. Porter, Baharan Mirzasoleiman, Jure Leskovec
Analytical Models for Motifs in Temporal Networks. WWW (Companion Volume) (2022)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models. ICLR (2022)
Qian Huang, Hongyu Ren, Jure Leskovec
Few-shot Relational Reasoning via Connection Subgraph Pretraining. CoRR (2022)
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR (2022)
Jiaxuan You, Tianyu Du, Jure Leskovec
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR (2022)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. CoRR (2022)
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
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI (2022)
Kaidi Cao, Maria Brbic, Jure Leskovec
Open-World Semi-Supervised Learning. ICLR (2022)
Qian Huang, Hongyu Ren, Jure Leskovec
Few-shot Relational Reasoning via Connection Subgraph Pretraining. NeurIPS (2022)
Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD (2022)
Michihiro Yasunaga, Jure Leskovec, Percy Liang
LinkBERT: Pretraining Language Models with Document Links. CoRR (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. KDD (2022)
Michihiro Yasunaga, Jure Leskovec, Percy Liang
LinkBERT: Pretraining Language Models with Document Links. ACL (1) (2022)
Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR (2022)
Hongwei Wang, Jure Leskovec
Combining Graph Convolutional Neural Networks and Label Propagation. ACM Trans. Inf. Syst. 40 (4) (2022)
Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. KDD (2022)
Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR (2022)
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR (2022)
Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR (2022)
Daniel Zeng, Tailin Wu, Jure Leskovec
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. CoRR (2022)
Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR (2022)
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS (2022)
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16 (4) (2022)
Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. CoRR (2022)
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
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR (2022)

Jure Leskovec.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jure Leskovec