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Jure Leskovec — all works

507 works · page 4 of 6 · 301–400 · ← Jure Leskovec

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  1. Networks, communities and kronecker products ↗no summary yetJure Leskovec2009 · 14 citations
  2. Listening to the Voices of America ↗RSF The Russell Sage Foundation Journal of the Social Sciences · no summary yetKathryn J. Edin et al.2024 · 13 citations
  3. Social media ↗no summary yetAmr El Abaddi et al.2011 · 13 citations
  4. Neural Distance Embeddings for Biological Sequences ↗arXiv (Cornell University) · no summary yetGabriele Corso et al.2021 · 12 citations
  5. MIS2 ↗ACM International Conference on Web Search and Data Mining (WSDM) · no summary yetSrijan Kumar et al.2018 · 12 citations
  6. Learning Linguistic Descriptors of User Roles in Online Communities ↗Proceedings of the First Workshop on NLP and Computational Social Science · no summary yetAlex Wang, William L. Hamilton, Jure Leskovec2016 · 12 citations
  7. PinnerFormer: Sequence Modeling for User Representation at Pinterest ↗arXiv (Cornell University) · no summary yetNikil Pancha et al.2022 · 11 citations
  8. Analytical Models for Motifs in Temporal Networks ↗The Web Conference (WWW) · no summary yetAlexandra Porter, Baharan Mirzasoleiman, Jure Leskovec2022 · 11 citations
  9. ZeroC: A Neuro-Symbolic Model for Zero-Shot Concept Recognition and Acquisition at Inference Time ↗neural information processing systems · no summary yetTailin Wu et al.2022 · 11 citations
  10. SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs ↗arXiv:2110.14890 · no summary yetHongyu Ren et al.2021 · 11 citations
  11. Driver2vec: Driver Identification from Automotive Data ↗arXiv (Cornell University) · no summary yetJingbo Yang et al.2021 · 11 citations
  12. Dynamic Network Model from Partial Observations ↗arXiv (Cornell University) · no summary yetElahe Ghalebi K. et al.2018 · 11 citations
  13. Modeling Affinity based Popularity Dynamics ↗no summary yetMinkyoung Kim, Daniel A. McFarland, Jure Leskovec2017 · 11 citations
  14. Channeling the deluge ↗Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yetPaul N. Bennett et al.2013 · 11 citations
  15. End-to-End Test-Time Training for Long Context ↗arXiv (Cornell University) · no summary yetArnuv Tandon et al.2025 · 10 citations
  16. PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2024 · 10 citations
  17. Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZakaria Mehrab et al.2022 · 10 citations
  18. Concept Learners for Few-Shot Learning ↗arXiv (Cornell University) · no summary yetKaidi Cao, Maria Brbić, Jure Leskovec2020 · 10 citations
  19. Coresets for Robust Training of Deep Neural Networks against Noisy Labels. ↗arXiv (Cornell University) · no summary yetBaharan Mirzasoleiman, Kaidi Cao, Jure Leskovec2020 · 10 citations
  20. Understanding Online Collection Growth Over Time ↗no summary yetCaroline Lo, Justin S. Cheng, Jure Leskovec2017 · 10 citations
  21. RelGNN: Composite Message Passing for Relational Deep Learning ↗arXiv (Cornell University) · no summary yetTianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec2025 · 9 citations
  22. GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 9 citations
  23. When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability ↗arXiv (Cornell University) · no summary yetSitao Luan et al.2023 · 9 citations
  24. Redundancy-Free Computation Graphs for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetZhihao Jia et al.2019 · 9 citations
  25. New Directions in Recommender Systems ↗ACM International Conference on Web Search and Data Mining (WSDM) · no summary yetJure Leskovec2015 · 9 citations
  26. Overlapping community detection at scale: a nonnegative matrix factorization approach ↗no summary yetJaewon Yang, Jure Leskovec2013 · 9 citations
  27. Discovering Social Circles in Ego Networks ↗arXiv (Cornell University) · no summary yetJulian McAuley, Jure Leskovec2012 · 9 citations
  28. ShatterPlots: Fast Tools for Mining Large Graphs ↗SIAM International Conference on Data Mining · no summary yetAna Paula Appel et al.2009 · 9 citations
  29. Laws of Graph Evolution: Densification and Shrinking Diameters ↗no summary yetJure Leskovec, Christos Faloutsos, Jon M. Kleinberg2006 · 9 citations
  30. The Download Estimation task on KDD Cup 2003 ↗ACM SIGKDD Explorations Newsletter · no summary yetJanez Brank, Jure Leskovec2003 · 9 citations
  31. Relational Graph Transformer ↗arXiv (Cornell University) · no summary yetVijay Prakash Dwivedi et al.2025 · 8 citations
  32. Large Language Models are Good Relational Learners ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetFang Wu, Vijay Prakash Dwivedi, Jure Leskovec2025 · 8 citations
  33. Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization ↗neural information processing systems · no summary yetSiyi Gu et al.2024 · 8 citations
  34. Relational Multi-Task Learning: Modeling Relations between Data and Tasks ↗arXiv (Cornell University) · no summary yetKaidi Cao, Jiaxuan You, Jure Leskovec2023 · 8 citations
  35. When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability ↗neural information processing systems · no summary yetSitao Luan et al.2023 · 8 citations
  36. CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data ↗arXiv (Cornell University) · no summary yetMathieu Chevalley et al.2022 · 8 citations
  37. Offline Behaviors of Online Friends ↗arXiv (Cornell University) · no summary yetPiotr Sapieżyński et al.2018 · 8 citations
  38. Drivers of Variability in Energy Consumption ↗no summary yetAdrian Albert et al.2017 · 8 citations
  39. Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making ↗neural information processing systems · no summary yetHimabindu Lakkaraju, Jure Leskovec2016 · 8 citations
  40. Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetVijay Prakash Dwivedi et al.2025 · 7 citations
  41. Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data ↗arXiv (Cornell University) · no summary yetRanjan, Rishabh et al.2025 · 7 citations
  42. Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph ↗medRxiv · no summary yetKexin Huang et al.2024 · 7 citations
  43. TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation ↗arXiv (Cornell University) · no summary yetShi, Juntong et al.2024 · 7 citations
  44. Equivariant Graph Neural Operator for Modeling 3D Dynamics ↗arXiv (Cornell University) · no summary yetMinkai Xu et al.2024 · 7 citations
  45. In-Context Learning for Few-Shot Molecular Property Prediction ↗arXiv (Cornell University) · no summary yetChristopher Fifty, Jure Leskovec, Sebastian Thrun2023 · 7 citations
  46. Zero-shot causal learning ↗neural information processing systems · no summary yetHamed Nilforoshan et al.2023 · 7 citations
  47. Learning Controllable Adaptive Simulation for Multi-resolution Physics ↗arXiv (Cornell University) · no summary yetTailin Wu et al.2023 · 7 citations
  48. Predicting dominance in multi-person videos ↗International Joint Conference on Artificial Intelligence · no summary yetChongyang Bai et al.2019 · 7 citations
  49. MASA: Motif-Aware State Assignment in Noisy Time Series Data ↗arXiv (Cornell University) · no summary yetSaachi Jain et al.2018 · 7 citations
  50. Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗PubMed · no summary yetEmma Pierson et al.2018 · 7 citations
  51. Identification of disease treatment mechanisms through the multiscale interactome ↗RePEc: Research Papers in Economics · no summary yetCamilo Ruiz, Marinka Žitnik, Jure Leskovec7 citations
  52. A deep reinforcement learning platform for antibiotic discovery ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetHanqun Cao et al.2025 · 6 citations
  53. Learning Efficient Positional Encodings with Graph Neural Networks ↗arXiv (Cornell University) · no summary yetCharilaos I. Kanatsoulis et al.2025 · 6 citations
  54. PULSAR: a Foundation Model for Multi-scale and Multicellular Biology ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetKuan Pang et al.2025 · 6 citations
  55. MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest ↗arXiv (Cornell University) · no summary yetSaket Gurukar et al.2022 · 6 citations
  56. Categorizing User Sessions at Pinterest ↗IEEE International Conference on Big Data and Smart Computing (BigComp) · no summary yetDorna Bandari et al.2017 · 6 citations
  57. Status and friendship ↗International World Wide Web Conference (WWW) · no summary yetChristina Brandt, Jure Leskovec2014 · 6 citations
  58. Information cartography: Creating zoomable, large-scale maps of information ↗no summary yetDafna Shahaf et al.2013 · 6 citations
  59. Discovering Value from Community Activity on Focused Question Answering Sites: A Case Study of Stack Overflow ↗no summary yetAshton Anderson et al.2012 · 6 citations
  60. HumanLM: Simulating Users with State Alignment Beats Response Imitation ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2026 · 5 citations
  61. Companies under stress: the impact of shocks on the production network ↗EPJ Data Science · no summary yetRóbert Pálovics, Primož Dolenc, Jure Leskovec2021 · 5 citations
  62. SnapVX: A Network-Based Convex Optimization Solver ↗PubMed · no summary yetDavid Hallac et al.2015 · 5 citations
  63. How status and reputation shape human evaluations ↗International World Wide Web Conference (WWW) · no summary yetJure Leskovec2013 · 5 citations
  64. Life and death of online groups: Predicting group growth and longevity ↗no summary yetSanjay Kairam, Dan J. Wang, Jure Leskovec2012 · 5 citations
  65. Modeling Link Qualities in a Sensor Network ↗Informatica · no summary yetJure Leskovec, Purnamrita Sarkar, Carlos Guestrin2005 · 5 citations
  66. RelBench v2: A Large-Scale Benchmark and Repository for Relational Data ↗arXiv (Cornell University) · no summary yetJustin Gu et al.2026 · 4 citations
  67. PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models ↗arXiv (Cornell University) · no summary yetVignesh Kothapalli et al.2026 · 4 citations
  68. Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes ↗arXiv (Cornell University) · no summary yetMichael D. Bereket, Jure Leskovec2025 · 4 citations
  69. Learning Production Functions for Supply Chains with Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSerina Y. Chang et al.2025 · 4 citations
  70. Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2025 · 4 citations
  71. Predicting drug outcome of population via clinical knowledge graph ↗medRxiv · no summary yetMaria Brbić et al.2024 · 4 citations
  72. PreciCE: Precision engineering of cell fates via data-driven multi-gene control of transcriptional networks ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetJens Peter Magnusson et al.2024 · 4 citations
  73. Representation Learning for Frequent Subgraph Mining ↗arXiv (Cornell University) · no summary yetRex Ying et al.2024 · 4 citations
  74. ContextGNN: Beyond Two-Tower Recommendation Systems ↗arXiv (Cornell University) · no summary yetYiwen Yuan et al.2024 · 4 citations
  75. High dimensional, tabular deep learning with an auxiliary knowledge graph ↗neural information processing systems · no summary yetCamilo Ruiz et al.2023 · 4 citations
  76. Large Scale Network Analytics with SNAP ↗International World Wide Web Conference (WWW) · no summary yetRok Sosič, Jure Leskovec2015 · 4 citations
  77. NIFTY: A System for Large Scale Information Flow Tracking and Clustering ↗no summary yetCaroline Suen et al.2013 · 4 citations
  78. KumoRFM-2: Scaling Foundation Models for Relational Learning ↗arXiv (Cornell University) · no summary yetValter Hudovernik et al.2026 · 3 citations
  79. Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases ↗arXiv (Cornell University) · no summary yetVid Kocijan et al.2026 · 3 citations
  80. Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗arXiv (Cornell University) · no summary yetFang Wu et al.2025 · 3 citations
  81. Neural Graph Reasoning:A Survey on Complex Logical Query Answering ↗VU Research Portal · no summary yetHongyu Ren et al.2024 · 3 citations
  82. Compositional Generative Inverse Design ↗arXiv (Cornell University) · no summary yetTailin Wu et al.2024 · 3 citations
  83. Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTailin Wu et al.2024 · 3 citations
  84. Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. ↗PubMed · no summary yetYoungsuk Park et al.2017 · 3 citations
  85. Human navigation in networks ↗ACM Conference on Hypertext and Social Media (HT) · no summary yetJure Leskovec2012 · 3 citations
  86. Diffusion and Cascading Behavior in Networks ↗NATO science for peace and security series. D, Information and communication security · no summary yetJure Leskovec2008 · 3 citations
  87. Multiplayer Nash Preference Optimization ↗arXiv (Cornell University) · no summary yetFang Wu et al.2025 · 2 citations
  88. MIRIAD: Augmenting LLMs with millions of medical query-response pairs ↗arXiv (Cornell University) · no summary yetQinyue Zheng et al.2025 · 2 citations
  89. Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ↗arXiv (Cornell University) · no summary yetSerina Y. Chang et al.2024 · 2 citations
  90. Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs ↗arXiv (Cornell University) · no summary yetXu, Jialiang, Michael Moor, Jure Leskovec2024 · 2 citations
  91. Communication-Free Distributed GNN Training with Vertex Cut ↗arXiv:2308.03209 · no summary yetKaidi Cao et al.2023 · 2 citations
  92. Learning Large Graph Property Prediction via Graph Segment Training ↗neural information processing systems · no summary yetKaidi Cao et al.2023 · 2 citations
  93. Context-Aware Meta-Learning ↗arXiv (Cornell University) · no summary yetChristopher Fifty et al.2023 · 2 citations
  94. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ↗arXiv (Cornell University) · no summary yetLing Qiang Yang et al.2023 · 2 citations
  95. Mutual interactors as a principle for phenotype discovery in molecular interaction networks ↗Pacific Symposium on Biocomputing (PSB) · no summary yetSabri Eyuboglu, Marinka Žitnik, Jure Leskovec2022 · 2 citations
  96. TuneUp: A Simple Improved Training Strategy for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2022 · 2 citations
  97. Learning Graph Search Heuristics ↗arXiv (Cornell University) · no summary yetMichal Pándy et al.2022 · 2 citations
  98. ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy ↗arXiv (Cornell University) · no summary yetDaniel Dajun Zeng, Tailin Wu, Jure Leskovec2022 · 2 citations
  99. ForceNet: A Graph Neural Network for Large-Scale Quantum Chemistry Simulation ↗no summary yetWeihua Hu et al.2021 · 2 citations
  100. Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. ↗no summary yetPan Li et al.2020 · 2 citations

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