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Jure Leskovec

Stanford University, USA

31 papers at tracked venues · 30 at CORE A* · active 2024–2025

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Venues

ICLR ×10ICML ×8NeurIPS ×6AAAI ×2SIGKDD ×2ACL ×1ICWSM ×1WWW ×1

Frequent coauthors

Shirley Wu
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Serina Chang
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Minkai Xu
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Fang Wu
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Tailin Wu
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Kexin Huang
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Yusuf H. Roohani
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Yiwen Yuan
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Beatrice Bevilacqua
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Charilaos I. Kanatsoulis
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Tianlang Chen
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Vijay Prakash Dwivedi
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Papers

  1. Automated Hypothesis Validation with Agentic Sequential Falsifications
    ICML 2025 ·
    Kexin Huang
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  2. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
    ICLR 2025 ·
    Yusuf H. Roohani
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  3. CollabLLM: From Passive Responders to Active Collaborators
    ICML 2025 ·
    Shirley Wu
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  4. ContextGNN: Beyond Two-Tower Recommendation Systems
    ICLR 2025 ·
    Yiwen Yuan
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  5. Energy-Based Diffusion Language Models for Text Generation
    ICLR 2025 ·
    Minkai Xu
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  6. From Retrieval to Reasoning: Advancing AI Agents for Knowledge Discovery and Collaboration
    WWW 2025 · Jure Leskovec
  7. Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
    ICLR 2025 ·
    Beatrice Bevilacqua
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  8. LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily
    ICWSM 2025 ·
    Serina Chang
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  9. Large Language Models are Good Relational Learners
    ACL 2025 ·
    Fang Wu
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  10. Learning Efficient Positional Encodings with Graph Neural Networks
    ICLR 2025 ·
    Charilaos I. Kanatsoulis
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  11. Learning Production Functions for Supply Chains with Graph Neural Networks
    AAAI 2025 ·
    Serina Chang
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  12. RelGNN: Composite Message Passing for Relational Deep Learning
    ICML 2025 ·
    Tianlang Chen
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  13. Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
    SIGKDD 2025 ·
    Vijay Prakash Dwivedi
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  14. Surface-based Molecular Design with Multi-modal Flow Matching
    SIGKDD 2025 ·
    Fang Wu
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  15. TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
    ICLR 2025 ·
    Juntong Shi
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  16. Zero-Shot Generalization of GNNs over Distinct Attribute Domains
    ICML 2025 ·
    Yangyi Shen
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  17. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
    NeurIPS 2024 ·
    Siyi Gu
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  18. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
    NeurIPS 2024 ·
    Shirley Wu
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  19. Compositional Generative Inverse Design
    ICLR 2024 ·
    Tailin Wu
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  20. Context-Aware Meta-Learning
    ICLR 2024 ·
    Christopher Fifty
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  21. Equivariant Graph Neural Operator for Modeling 3D Dynamics
    ICML 2024 ·
    Minkai Xu
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  22. From Similarity to Superiority: Channel Clustering for Time Series Forecasting
    NeurIPS 2024 ·
    Jialin Chen
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  23. GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
    NeurIPS 2024 ·
    Shirley Wu
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  24. Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
    ICML 2024 ·
    Serina Chang
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  25. Large Language Models as Analogical Reasoners
    ICLR 2024 ·
    Michihiro Yasunaga
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  26. MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
    ICML 2024 ·
    Qian Huang
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  27. Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
    ICML 2024 ·
    Matthias Fey
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  28. RelBench: A Benchmark for Deep Learning on Relational Databases
    NeurIPS 2024 ·
    Joshua Robinson
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  29. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
    NeurIPS 2024 ·
    Shirley Wu
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  30. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
    AAAI 2024 ·
    Tailin Wu
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  31. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
    ICLR 2024 ·
    Ling Yang
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