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Jure Leskovec — all works

507 works · page 5 of 6 · 401–500 · ← Jure Leskovec

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  1. OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation ↗arXiv (Cornell University) · no summary yetHongyu Ren et al.2020 · 2 citations
  2. Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗no summary yetCody Coleman et al.2018 · 2 citations
  3. Psycho-Demographic Analysis of the Facebook Rainbow Campaign ↗arXiv (Cornell University) · no summary yetWang, Yilun et al.2016 · 2 citations
  4. Dynamics of Bidding in a P2P Lending Service: Effects of Herding and Predicting Loan Success ↗no summary yetSimla Ceyhan, Xiaolin Shi, Jure Leskovec2011 · 2 citations
  5. BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYuanhao Qu et al.2026 · 1 citation
  6. Perturb-ME: Scalable mechanism discovery from phenotype-enriched genome-wide screens ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetHanchen Wang et al.2026 · 1 citation
  7. CollabLLM: From Passive Responders to Active Collaborators (Extended Abstract) ↗International Joint Conference on Artificial Intelligence · no summary yetShirley Wu et al.2026 · 1 citation
  8. SurfDesign: Effective Protein Design on Molecular Surfaces ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026 · 1 citation
  9. NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training ↗arXiv (Cornell University) · no summary yetHaokai Zhao et al.2026 · 1 citation
  10. RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models ↗arXiv (Cornell University) · no summary yetValter Hudovernik et al.2025 · 1 citation
  11. TimeGraphs: Graph-based Temporal Reasoning ↗arXiv (Cornell University) · no summary yetParidhi Maheshwari et al.2024 · 1 citation
  12. AdaGrid: Adaptive Grid Search for Link Prediction Training Objective ↗arXiv (Cornell University) · no summary yetTim Poštuvan et al.2022 · 1 citation
  13. Efficient Automatic Machine Learning via Design Graphs ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2022 · 1 citation
  14. Iterative Collective Classification for Visual Focus of Attention Prediction ↗Terrorism, security and computation · no summary yetChongyang Bai et al.2021 · 1 citation
  15. Model-Agnostic Graph Regularization for Few-Shot Learning ↗arXiv (Cornell University) · no summary yetShen, Ethan et al.2021 · 1 citation
  16. Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily ↗no summary yetAshton Anderson et al.2015 · 1 citation
  17. Discovering Social Circles in Ego Networks (Author's Manuscript) ↗no summary yetJulian McAuley, Jure Leskovec2013 · 1 citation
  18. Learning Attitudes and Attributes from Online Reviews ↗no summary yetJulian McAuley, Jure Leskovec, Dan Jurafsky2012 · 1 citation
  19. Pale LagerThe Pale Lager Model ↗no summary yetJulian McAuley, Jure Leskovec, Dan Jurafsky2012 · 1 citation
  20. Through the Lens of a Large Instant-Messaging Network: Planetary-Scale Views on Behavior ↗no summary yetEric Horvitz, Jure Leskovec2009 · 1 citation
  21. Are Current AI Virtual Cell Models Useful for Scientific Discovery? ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetMichael D. Bereket, Jure Leskovec2026
  22. Drugs and where to find them : multi-scale artificial intelligence methods for identifying ligand-binding pockets and opioid-related social media posts ↗Stanford Digital Repository · no summary yetKristy A. Carpenter et al.2026
  23. Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap ↗arXiv (Cornell University) · no summary yetTianlang Chen, Shirley Wu, Jure Leskovec2026
  24. Bio-BLIP: A Multimodal Architecture for Transferable Reasoning in Genomic Variant Interpretation ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetAnvita Gupta et al.2026
  25. Advancing Open and Reproducible Relational Learning: RelArena-α, TabPFN-Rel and RPI ↗arXiv (Cornell University) · no summary yetAdrian Hayler et al.2026
  26. Higher-Order Molecular Grammars for Generative and Foundation Models in Chemistry ↗arXiv (Cornell University) · no summary yetYiming Huang et al.2026
  27. Learning over Positive and Negative Edges with Contrastive Message Passing ↗arXiv (Cornell University) · no summary yetPeter Pao-Huang et al.2026
  28. Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data ↗arXiv (Cornell University) · no summary yetAtindra Jha et al.2026
  29. M*: A Modular, Extensible, Serving System for Multimodal Models ↗arXiv (Cornell University) · no summary yetAtindra Jha et al.2026
  30. TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYing Jin et al.2026
  31. Real-world causal inference for healthcare and public policy ↗Stanford Digital Repository · no summary yetHamed Nilforoshan et al.2026
  32. Revised estimates of the types and durations of long Covid symptoms based on claims records from 245 Million US patients ↗medRxiv · no summary yetHamed Nilforoshan et al.2026
  33. AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYuanhao Qu et al.2026
  34. Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space ↗arXiv (Cornell University) · no summary yetYi Shen et al.2026
  35. Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge ↗arXiv (Cornell University) · no summary yetJuntong Shi et al.2026
  36. Generative AI for drug design : methods and applications ↗Stanford Digital Repository · no summary yetKyle Swanson et al.2026
  37. Collaborative AI agents ↗Stanford Digital Repository · no summary yetShirley Yingxin Wu et al.2026
  38. Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026
  39. Hypothalamic Cell Type Evolution across Vertebrates ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetYunming Wu et al.2026
  40. Proteo-R1: Reasoning Foundation Models for De Novo Protein Design ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026
  41. UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026
  42. Generative modeling with structured diffusion models ↗Stanford Digital Repository · no summary yetMinkai Xu et al.2026
  43. RFG: Self-Improving Diffusion Large Language Models with Reward-Free Guidance ↗arXiv (Cornell University) · no summary yetTianlang Chen et al.2025
  44. TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs ↗arXiv (Cornell University) · no summary yetJacob Chmura et al.2025
  45. Automating discovery with AI ↗Stanford Digital Repository · no summary yetKexin Huang et al.2025
  46. Towards An AI Virtual Cell: Modeling Perturbation Effects in a Universal Space ↗Stanford Digital Repository · no summary yetSanjay Nagaraj et al.2025
  47. Countrywide natural experiment reveals impact of built environment on physical activity ↗arXiv (Cornell University) · no summary yetTim Althoff et al.2024
  48. AutoTransfer: AutoML with Knowledge Transfer — An Application to Graph Neural Networks ↗arXiv (Cornell University) · no summary yetKaidi Cao et al.2023
  49. Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction ↗arXiv (Cornell University) · no summary yetChristopher Fifty et al.2023
  50. Enabling tabular deep learning when d n with an auxiliary knowledge graph ↗arXiv (Cornell University) · no summary yetCamilo Ruiz et al.2023
  51. Deep Learning with Knowledge Graphs ↗Zenodo (CERN European Organization for Nuclear Research) · no summary yetJure Leskovec2022
  52. Accelerating predictive modeling of laser-driven ion acceleration with deep learning ↗Bulletin of the American Physical Society · no summary yetJason Chou et al.2021
  53. Report on the 30th the web conference 2021 (TheWebConf2021) ↗ACM SIGIR Forum · no summary yetAljaž Košmerlj, Marko Grobelnik, Jure Leskovec2021
  54. 大数据之查找相似项：分割与最小哈希（Chinese version: Big data - Finding Similar Items: Shingling and Min-Hashing） ↗no summary yetJure Leskovec et al.2021
  55. Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies ↗arXiv (Cornell University) · no summary yetAlexandra Porter, Baharan Mirzasoleiman, Jure Leskovec2021
  56. Improving Query Safety at Pinterest ↗arXiv (Cornell University) · no summary yetAbhijit Mahabal et al.2020
  57. 時間的相互作用ネットワークにおける動的埋込み軌道の予測【JST・京大機械翻訳】 ↗ACM Proceedings · no summary yetSrijan Kumar, Zhang Xikun, Jure Leskovec2019
  58. Coresets for Accelerating Incremental Gradient Methods ↗no summary yetBaharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec2019
  59. SIGKDD Impact Program 2018 ↗ACM SIGKDD Explorations Newsletter · no summary yetRok Sosič, Rayid Ghani, Jure Leskovec2019
  60. The First International Workshop on Knowledge Graph Technology and Applications ↗no summary yetDenny Vrandečić, Jure Leskovec2019
  61. Study Materials ↗Open Science Framework · no summary yetNoshir Contractor et al.2017
  62. Analysis ↗no summary yetBrian J. Goode et al.2017
  63. Data ↗Open Science Framework · no summary yetBrian J. Goode et al.2017
  64. Predictive Modeling ↗Open Science Framework · no summary yetBrian J. Goode et al.2017
  65. 単一ターンからの自動車センサデータを用いた運転者の同定【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetDavid Hallac et al.2016
  66. BY DAFNA SHAHAF, CARLOS GUESTRIN, ↗no summary yetEric Horvitz, Jure Leskovec2016
  67. Scalable Machine Learning on Spark for multiclass problems ↗no summary yetGoutham Kamath et al.2016
  68. 1 Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model ↗no summary yetMyunghwan Kim, Jure Leskovec2016
  69. 2 Structure and Overlaps of Communities in Networks ↗no summary yetJaewon Yang, Jure Leskovec2016
  70. Published In Authors ↗no summary yetDeepayan Chakrabarti et al.2015
  71. Eric Horvitz. Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network. Microsoft Research Technical Report ↗no summary yetJure Leskovec, Eric Horvitz2015
  72. Mining and Modeling Large Social and Information Networks ↗2015 AAAS Annual Meeting (12-16 February 2015) · no summary yetJure Leskovec2015
  73. Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text. Extended version http://i.stanford.edu/~julian/pdfs/ recsys_extended.pdf ↗no summary yetJulian McAuley, Jure Leskovec2015
  74. Exploiting Social Network Structure for Person-to-Person Sentiment Analysis (Supplementary Material to [WPLP14]) ↗no summary yetRobert West et al.2015
  75. Using Big Data to Improve Social Policy ↗no summary yetHimabindu Lakkaraju et al.2014
  76. Information Propagation and Network Evolution on the Web ↗no summary yetJure Leskovec et al.2014
  77. Published In Finding patterns in blog shapes and blog evolution ↗no summary yetMary Mcglohon et al.2014
  78. Visualizing information networks ↗AI Matters · no summary yetManuel Gomez-Rodriguez, Jure Leskovec2014
  79. Community-Affiliation Graph Model for Overlapping Network Community Detection. Extended version ↗no summary yetJaewon Yang, Jure Leskovec2014
  80. CT 2.6.2 0BDiminishing Communities in Large Social and Information Networks ↗no summary yetJure Leskovec et al.2013
  81. HOMEWORK ROUTE FORM ↗no summary yetJure Leskovec, Joshua Brian Lindauer2013
  82. Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media Governance in Social Media: A Case Study of the Wikipedia Promotion Process ↗no summary yetJure Leskovec, Daniel P. Huttenlocher, Jon M. Kleinberg2013
  83. Image Labeling on a Network: Using Social-Network Metadata for Image ↗no summary yetJulian Mcauley, Jure Leskovec2013
  84. – MIT Technology Review Some results ↗no summary yetJulian Mcauley et al.2013
  85. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media Automatic Versus Human Navigation in Information Networks ↗no summary yetRobert West, Jure Leskovec2013
  86. ◦ World Wide Web ◦ Citation networks ◦ Social networks ◦ Metabolic networks ↗no summary yetJaewon Yang et al.2013
  87. Defining and Evaluating Network Communities based on Ground-truth. Extended version ↗no summary yetJaewon Yang, Jure Leskovec2012
  88. Information Propagation and Network Evolution on the Web ↗no summary yetMary McGlohon et al.2009
  89. ShatterPlots: Fast Tool for Mining Large Graphs ↗no summary yetAna Paula Appel et al.2008
  90. HADI: Fast Diameter Estimation and Mining in Massive Graphs with Hadoop ↗no summary yetU Kang et al.2008
  91. fakulta Karlovy univerzity ↗no summary yetJure Leskovec, Purnamrita Sarkar, Carlos Guestrin2008
  92. Learning Semantic Graph Mapping for Document Summarization ↗no summary yetJure Leskovec, Marko Grobelnik, Nataša Milić-Frayling2008
  93. � Organizational networks � Communication networks � Collaboration networks � Sexual networks � Collaboration networks � Technological networks: ↗no summary yetJure Leskovec et al.2008
  94. Semantic Text Features From Small World Graphs ↗no summary yetJure Leskovec, Jure Leskovec, John S. Shawe-Taylor2008
  95. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 1 Epidemic Thresholds in Real Networks ↗no summary yetDeepayan Chakrabarti et al.2007
  96. Examples of networks ↗no summary yetChristos Faloutsos et al.2007
  97. � Propagation and detection of viruses in networks ↗no summary yetChristos Faloutsos et al.2007
  98. Dynamics of Real-world Networks ↗no summary yetJure Leskovec2007
  99. Finding Patterns in Blog Shapes and Blog Evolution ↗no summary yetJure Leskovec, Matthew Hurst, Natalie Glance2007
  100. Web projections: Learning from contextual subgraphs of the web ↗no summary yetJure Leskovec2007

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