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Jure Leskovec
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Publications
- 2025
- [c269]Yusuf H. Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec:
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments. ICLR 2025 - [i226]Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel J. Candès, Jure Leskovec:
Automated Hypothesis Validation with Agentic Sequential Falsifications. CoRR abs/2502.09858 (2025) - 2024
- [c257]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024 - [c254]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. NeurIPS 2024 - [c250]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou:
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS 2024 - [c249]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS 2024 - [i216]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 abs/2404.13207 (2024) - [i212]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 abs/2406.11200 (2024) - [i209]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 abs/2407.20060 (2024) - 2023
- [j42]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): 47-60 (2023) - [c239]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. NeurIPS 2023 - [c233]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
High dimensional, tabular deep learning with an auxiliary knowledge graph. NeurIPS 2023 - [i191]Kexin Huang, Ying Jin, Emmanuel J. Candès, Jure Leskovec:
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks. CoRR abs/2305.14535 (2023) - [i190]Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec:
Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph. CoRR abs/2306.04766 (2023) - [i179]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 abs/2312.04615 (2023) - 2022
- [i160]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 abs/2210.14843 (2022) - 2021
- [c195]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [i150]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao
, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021)

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