---
title: "Jure Leskovec — all works, page 4 — Elamur Research"
description: "All 507 works of Jure Leskovec in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Jure Leskovec — all works

507 works · page 4 of 6 · 301–400 · [← Jure Leskovec](https://md.research.elamur.ai/free/en/authors/jure-leskovec/)

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301. **[Networks, communities and kronecker products ↗](https://doi.org/10.1145/1651274.1651275) no summary yet**Jure Leskovec*2009 · 14 citations*
302. **[Listening to the Voices of America ↗](https://doi.org/10.7758/rsf.2024.10.4.01) RSF The Russell Sage Foundation Journal of the Social Sciences · no summary yet**Kathryn J. Edin et al.*2024 · 13 citations*
303. **[Social media ↗](https://doi.org/10.1145/1963192.1963336) no summary yet**Amr El Abaddi et al.*2011 · 13 citations*
304. **[Neural Distance Embeddings for Biological Sequences ↗](https://doi.org/10.17863/cam.78685) arXiv (Cornell University) · no summary yet**Gabriele Corso et al.*2021 · 12 citations*
305. **[MIS2 ↗](https://doi.org/10.1145/3159652.3160597) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Srijan Kumar et al.*2018 · 12 citations*
306. **[Learning Linguistic Descriptors of User Roles in Online Communities ↗](https://aclanthology.org/W16-5610/) Proceedings of the First Workshop on NLP and Computational Social Science · no summary yet**Alex Wang, William L. Hamilton, Jure Leskovec*2016 · 12 citations*
307. **[PinnerFormer: Sequence Modeling for User Representation at Pinterest ↗](https://arxiv.org/abs/2205.04507) arXiv (Cornell University) · no summary yet**Nikil Pancha et al.*2022 · 11 citations*
308. **[Analytical Models for Motifs in Temporal Networks ↗](https://doi.org/10.1145/3487553.3524669) The Web Conference (WWW) · no summary yet**Alexandra Porter, Baharan Mirzasoleiman, Jure Leskovec*2022 · 11 citations*
309. **[ZeroC: A Neuro-Symbolic Model for Zero-Shot Concept Recognition and Acquisition at Inference Time ↗](https://doi.org/10.52202/068431-0714) neural information processing systems · no summary yet**Tailin Wu et al.*2022 · 11 citations*
310. **[SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs ↗](https://arxiv.org/abs/2110.14890) arXiv:2110.14890 · no summary yet**Hongyu Ren et al.*2021 · 11 citations*
311. **[Driver2vec: Driver Identification from Automotive Data ↗](https://arxiv.org/abs/2102.05234) arXiv (Cornell University) · no summary yet**Jingbo Yang et al.*2021 · 11 citations*
312. **[Dynamic Network Model from Partial Observations ↗](https://arxiv.org/abs/1805.10616) arXiv (Cornell University) · no summary yet**Elahe Ghalebi K. et al.*2018 · 11 citations*
313. **[Modeling Affinity based Popularity Dynamics ↗](https://doi.org/10.1145/3132847.3132923) no summary yet**Minkyoung Kim, Daniel A. McFarland, Jure Leskovec*2017 · 11 citations*
314. **[Channeling the deluge ↗](https://doi.org/10.1145/2505515.2525541) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Paul N. Bennett et al.*2013 · 11 citations*
315. **[End-to-End Test-Time Training for Long Context ↗](https://arxiv.org/abs/2512.23675) arXiv (Cornell University) · no summary yet**Arnuv Tandon et al.*2025 · 10 citations*
316. **[PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning ↗](https://arxiv.org/abs/2404.00776) arXiv (Cornell University) · no summary yet**Weihua Hu et al.*2024 · 10 citations*
317. **[Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites ↗](https://doi.org/10.1609/aaai.v36i11.21529) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zakaria Mehrab et al.*2022 · 10 citations*
318. **[Concept Learners for Few-Shot Learning ↗](https://arxiv.org/abs/2007.07375) arXiv (Cornell University) · no summary yet**Kaidi Cao, Maria Brbić, Jure Leskovec*2020 · 10 citations*
319. **[Coresets for Robust Training of Deep Neural Networks against Noisy Labels. ↗](https://arxiv.org/abs/2011.07451) arXiv (Cornell University) · no summary yet**Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec*2020 · 10 citations*
320. **[Understanding Online Collection Growth Over Time ↗](https://doi.org/10.1145/3041021.3054189) no summary yet**Caroline Lo, Justin S. Cheng, Jure Leskovec*2017 · 10 citations*
321. **[RelGNN: Composite Message Passing for Relational Deep Learning ↗](https://arxiv.org/abs/2502.06784) arXiv (Cornell University) · no summary yet**Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec*2025 · 9 citations*
322. **[GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts ↗](https://doi.org/10.52202/079017-0297) neural information processing systems · no summary yet**Shirley Wu et al.*2024 · 9 citations*
323. **[When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability ↗](https://arxiv.org/abs/2304.14274) arXiv (Cornell University) · no summary yet**Sitao Luan et al.*2023 · 9 citations*
324. **[Redundancy-Free Computation Graphs for Graph Neural Networks ↗](https://arxiv.org/abs/1906.03707) arXiv (Cornell University) · no summary yet**Zhihao Jia et al.*2019 · 9 citations*
325. **[New Directions in Recommender Systems ↗](https://doi.org/10.1145/2684822.2697044) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Jure Leskovec*2015 · 9 citations*
326. **[Overlapping community detection at scale: a nonnegative matrix factorization approach ↗](https://openalex.org/W7099789637) no summary yet**Jaewon Yang, Jure Leskovec*2013 · 9 citations*
327. **[Discovering Social Circles in Ego Networks ↗](https://arxiv.org/abs/1210.8182) arXiv (Cornell University) · no summary yet**Julian McAuley, Jure Leskovec*2012 · 9 citations*
328. **[ShatterPlots: Fast Tools for Mining Large Graphs ↗](https://doi.org/10.1137/1.9781611972795.69) SIAM International Conference on Data Mining · no summary yet**Ana Paula Appel et al.*2009 · 9 citations*
329. **[Laws of Graph Evolution: Densification and Shrinking Diameters ↗](https://openalex.org/W2886616105) no summary yet**Jure Leskovec, Christos Faloutsos, Jon M. Kleinberg*2006 · 9 citations*
330. **[The Download Estimation task on KDD Cup 2003 ↗](https://doi.org/10.1145/980972.980997) ACM SIGKDD Explorations Newsletter · no summary yet**Janez Brank, Jure Leskovec*2003 · 9 citations*
331. **[Relational Graph Transformer ↗](https://arxiv.org/abs/2505.10960) arXiv (Cornell University) · no summary yet**Vijay Prakash Dwivedi et al.*2025 · 8 citations*
332. **[Large Language Models are Good Relational Learners ↗](https://aclanthology.org/2025.acl-long.386/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec*2025 · 8 citations*
333. **[Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization ↗](https://doi.org/10.52202/079017-1398) neural information processing systems · no summary yet**Siyi Gu et al.*2024 · 8 citations*
334. **[Relational Multi-Task Learning: Modeling Relations between Data and Tasks ↗](https://arxiv.org/abs/2303.07666) arXiv (Cornell University) · no summary yet**Kaidi Cao, Jiaxuan You, Jure Leskovec*2023 · 8 citations*
335. **[When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability ↗](https://doi.org/10.52202/075280-1251) neural information processing systems · no summary yet**Sitao Luan et al.*2023 · 8 citations*
336. **[CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data ↗](https://arxiv.org/abs/2210.17283) arXiv (Cornell University) · no summary yet**Mathieu Chevalley et al.*2022 · 8 citations*
337. **[Offline Behaviors of Online Friends ↗](https://arxiv.org/abs/1811.03153) arXiv (Cornell University) · no summary yet**Piotr Sapieżyński et al.*2018 · 8 citations*
338. **[Drivers of Variability in Energy Consumption ↗](https://openalex.org/W2762034425) no summary yet**Adrian Albert et al.*2017 · 8 citations*
339. **[Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making ↗](https://openalex.org/W2553480288) neural information processing systems · no summary yet**Himabindu Lakkaraju, Jure Leskovec*2016 · 8 citations*
340. **[Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures ↗](https://doi.org/10.1145/3711896.3736558) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Vijay Prakash Dwivedi et al.*2025 · 7 citations*
341. **[Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data ↗](https://arxiv.org/abs/2510.06377) arXiv (Cornell University) · no summary yet**Ranjan, Rishabh et al.*2025 · 7 citations*
342. **[Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph ↗](https://doi.org/10.1101/2024.12.03.24318375) medRxiv · no summary yet**Kexin Huang et al.*2024 · 7 citations*
343. **[TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation ↗](https://arxiv.org/abs/2410.20626) arXiv (Cornell University) · no summary yet**Shi, Juntong et al.*2024 · 7 citations*
344. **[Equivariant Graph Neural Operator for Modeling 3D Dynamics ↗](https://arxiv.org/abs/2401.11037) arXiv (Cornell University) · no summary yet**Minkai Xu et al.*2024 · 7 citations*
345. **[In-Context Learning for Few-Shot Molecular Property Prediction ↗](https://arxiv.org/abs/2310.08863) arXiv (Cornell University) · no summary yet**Christopher Fifty, Jure Leskovec, Sebastian Thrun*2023 · 7 citations*
346. **[Zero-shot causal learning ↗](https://doi.org/10.52202/075280-0301) neural information processing systems · no summary yet**Hamed Nilforoshan et al.*2023 · 7 citations*
347. **[Learning Controllable Adaptive Simulation for Multi-resolution Physics ↗](https://arxiv.org/abs/2305.01122) arXiv (Cornell University) · no summary yet**Tailin Wu et al.*2023 · 7 citations*
348. **[Predicting dominance in multi-person videos ↗](https://doi.org/10.24963/ijcai.2019/645) International Joint Conference on Artificial Intelligence · no summary yet**Chongyang Bai et al.*2019 · 7 citations*
349. **[MASA: Motif-Aware State Assignment in Noisy Time Series Data ↗](https://arxiv.org/abs/1809.01819) arXiv (Cornell University) · no summary yet**Saachi Jain et al.*2018 · 7 citations*
350. **[Inferring Multidimensional Rates of Aging from Cross-Sectional Data ↗](https://arxiv.org/abs/1807.04709) PubMed · no summary yet**Emma Pierson et al.*2018 · 7 citations*
351. **[Identification of disease treatment mechanisms through the multiscale interactome ↗](https://doi.org/10.1101/2020.04.30.069690) RePEc: Research Papers in Economics · no summary yet**Camilo Ruiz, Marinka Žitnik, Jure Leskovec*7 citations*
352. **[A deep reinforcement learning platform for antibiotic discovery ↗](https://doi.org/10.1101/2025.09.23.678086) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Hanqun Cao et al.*2025 · 6 citations*
353. **[Learning Efficient Positional Encodings with Graph Neural Networks ↗](https://arxiv.org/abs/2502.01122) arXiv (Cornell University) · no summary yet**Charilaos I. Kanatsoulis et al.*2025 · 6 citations*
354. **[PULSAR: a Foundation Model for Multi-scale and Multicellular Biology ↗](https://doi.org/10.1101/2025.11.24.685470) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Kuan Pang et al.*2025 · 6 citations*
355. **[MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest ↗](https://arxiv.org/abs/2205.10666) arXiv (Cornell University) · no summary yet**Saket Gurukar et al.*2022 · 6 citations*
356. **[Categorizing User Sessions at Pinterest ↗](https://doi.org/10.1109/bigcomp.2019.8679211) IEEE International Conference on Big Data and Smart Computing (BigComp) · no summary yet**Dorna Bandari et al.*2017 · 6 citations*
357. **[Status and friendship ↗](https://doi.org/10.1145/2567948.2577327) International World Wide Web Conference (WWW) · no summary yet**Christina Brandt, Jure Leskovec*2014 · 6 citations*
358. **[Information cartography: Creating zoomable, large-scale maps of information ↗](https://openalex.org/W7099012826) no summary yet**Dafna Shahaf et al.*2013 · 6 citations*
359. **[Discovering Value from Community Activity on Focused Question Answering Sites: A Case Study of Stack Overflow ↗](https://openalex.org/W7098291748) no summary yet**Ashton Anderson et al.*2012 · 6 citations*
360. **[HumanLM: Simulating Users with State Alignment Beats Response Imitation ↗](https://arxiv.org/abs/2603.03303) arXiv (Cornell University) · no summary yet**Wu, Shirley et al.*2026 · 5 citations*
361. **[Companies under stress: the impact of shocks on the production network ↗](https://doi.org/10.1140/epjds/s13688-021-00310-w) EPJ Data Science · no summary yet**Róbert Pálovics, Primož Dolenc, Jure Leskovec*2021 · 5 citations*
362. **[SnapVX: A Network-Based Convex Optimization Solver ↗](https://arxiv.org/abs/1509.06397) PubMed · no summary yet**David Hallac et al.*2015 · 5 citations*
363. **[How status and reputation shape human evaluations ↗](https://doi.org/10.1145/2487788.2488085) International World Wide Web Conference (WWW) · no summary yet**Jure Leskovec*2013 · 5 citations*
364. **[Life and death of online groups: Predicting group growth and longevity ↗](https://openalex.org/W7100348953) no summary yet**Sanjay Kairam, Dan J. Wang, Jure Leskovec*2012 · 5 citations*
365. **[Modeling Link Qualities in a Sensor Network ↗](https://openalex.org/W1516175554) Informatica · no summary yet**Jure Leskovec, Purnamrita Sarkar, Carlos Guestrin*2005 · 5 citations*
366. **[RelBench v2: A Large-Scale Benchmark and Repository for Relational Data ↗](https://arxiv.org/abs/2602.12606) arXiv (Cornell University) · no summary yet**Justin Gu et al.*2026 · 4 citations*
367. **[PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models ↗](https://arxiv.org/abs/2602.04029) arXiv (Cornell University) · no summary yet**Vignesh Kothapalli et al.*2026 · 4 citations*
368. **[Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes ↗](https://arxiv.org/abs/2508.11800) arXiv (Cornell University) · no summary yet**Michael D. Bereket, Jure Leskovec*2025 · 4 citations*
369. **[Learning Production Functions for Supply Chains with Graph Neural Networks ↗](https://doi.org/10.1609/aaai.v39i27.35004) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Serina Y. Chang et al.*2025 · 4 citations*
370. **[Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards ↗](https://arxiv.org/abs/2507.03041) arXiv (Cornell University) · no summary yet**Wu, Shirley et al.*2025 · 4 citations*
371. **[Predicting drug outcome of population via clinical knowledge graph ↗](https://doi.org/10.1101/2024.03.06.24303800) medRxiv · no summary yet**Maria Brbić et al.*2024 · 4 citations*
372. **[PreciCE: Precision engineering of cell fates via data-driven multi-gene control of transcriptional networks ↗](https://doi.org/10.1101/2024.11.04.621938) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Jens Peter Magnusson et al.*2024 · 4 citations*
373. **[Representation Learning for Frequent Subgraph Mining ↗](https://arxiv.org/abs/2402.14367) arXiv (Cornell University) · no summary yet**Rex Ying et al.*2024 · 4 citations*
374. **[ContextGNN: Beyond Two-Tower Recommendation Systems ↗](https://arxiv.org/abs/2411.19513) arXiv (Cornell University) · no summary yet**Yiwen Yuan et al.*2024 · 4 citations*
375. **[High dimensional, tabular deep learning with an auxiliary knowledge graph ↗](https://doi.org/10.52202/075280-1146) neural information processing systems · no summary yet**Camilo Ruiz et al.*2023 · 4 citations*
376. **[Large Scale Network Analytics with SNAP ↗](https://doi.org/10.1145/2740908.2744708) International World Wide Web Conference (WWW) · no summary yet**Rok Sosič, Jure Leskovec*2015 · 4 citations*
377. **[NIFTY: A System for Large Scale Information Flow Tracking and Clustering ↗](https://openalex.org/W7100827780) no summary yet**Caroline Suen et al.*2013 · 4 citations*
378. **[KumoRFM-2: Scaling Foundation Models for Relational Learning ↗](https://arxiv.org/abs/2604.12596) arXiv (Cornell University) · no summary yet**Valter Hudovernik et al.*2026 · 3 citations*
379. **[Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases ↗](https://arxiv.org/abs/2602.09572) arXiv (Cornell University) · no summary yet**Vid Kocijan et al.*2026 · 3 citations*
380. **[Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗](https://arxiv.org/abs/2509.21882) arXiv (Cornell University) · no summary yet**Fang Wu et al.*2025 · 3 citations*
381. **[Neural Graph Reasoning:A Survey on Complex Logical Query Answering ↗](https://research.vu.nl/en/publications/01f93877-c927-4f86-9803-0060158bb3ef) VU Research Portal · no summary yet**Hongyu Ren et al.*2024 · 3 citations*
382. **[Compositional Generative Inverse Design ↗](https://arxiv.org/abs/2401.13171) arXiv (Cornell University) · no summary yet**Tailin Wu et al.*2024 · 3 citations*
383. **[Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution ↗](https://doi.org/10.1609/aaai.v38i1.27785) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Tailin Wu et al.*2024 · 3 citations*
384. **[Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. ↗](https://www.ncbi.nlm.nih.gov/pmc/articles/6436845) PubMed · no summary yet**Youngsuk Park et al.*2017 · 3 citations*
385. **[Human navigation in networks ↗](https://doi.org/10.1145/2309996.2310020) ACM Conference on Hypertext and Social Media (HT) · no summary yet**Jure Leskovec*2012 · 3 citations*
386. **[Diffusion and Cascading Behavior in Networks ↗](https://doi.org/10.3233/978-1-58603-898-4-169) NATO science for peace and security series. D, Information and communication security · no summary yet**Jure Leskovec*2008 · 3 citations*
387. **[Multiplayer Nash Preference Optimization ↗](https://arxiv.org/abs/2509.23102) arXiv (Cornell University) · no summary yet**Fang Wu et al.*2025 · 2 citations*
388. **[MIRIAD: Augmenting LLMs with millions of medical query-response pairs ↗](https://doi.org/10.3929/ethz-c-000794594) arXiv (Cornell University) · no summary yet**Qinyue Zheng et al.*2025 · 2 citations*
389. **[Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ↗](https://arxiv.org/abs/2402.18697) arXiv (Cornell University) · no summary yet**Serina Y. Chang et al.*2024 · 2 citations*
390. **[Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs ↗](https://arxiv.org/abs/2405.18740) arXiv (Cornell University) · no summary yet**Xu, Jialiang, Michael Moor, Jure Leskovec*2024 · 2 citations*
391. **[Communication-Free Distributed GNN Training with Vertex Cut ↗](https://arxiv.org/abs/2308.03209) arXiv:2308.03209 · no summary yet**Kaidi Cao et al.*2023 · 2 citations*
392. **[Learning Large Graph Property Prediction via Graph Segment Training ↗](https://doi.org/10.52202/075280-1012) neural information processing systems · no summary yet**Kaidi Cao et al.*2023 · 2 citations*
393. **[Context-Aware Meta-Learning ↗](https://arxiv.org/abs/2310.10971) arXiv (Cornell University) · no summary yet**Christopher Fifty et al.*2023 · 2 citations*
394. **[VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ↗](https://arxiv.org/abs/2308.02117) arXiv (Cornell University) · no summary yet**Ling Qiang Yang et al.*2023 · 2 citations*
395. **[Mutual interactors as a principle for phenotype discovery in molecular interaction networks ↗](https://doi.org/10.1142/9789811270611_0007) Pacific Symposium on Biocomputing (PSB) · no summary yet**Sabri Eyuboglu, Marinka Žitnik, Jure Leskovec*2022 · 2 citations*
396. **[TuneUp: A Simple Improved Training Strategy for Graph Neural Networks ↗](https://arxiv.org/abs/2210.14843) arXiv (Cornell University) · no summary yet**Weihua Hu et al.*2022 · 2 citations*
397. **[Learning Graph Search Heuristics ↗](https://arxiv.org/abs/2212.03978) arXiv (Cornell University) · no summary yet**Michal Pándy et al.*2022 · 2 citations*
398. **[ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy ↗](https://arxiv.org/abs/2207.00590) arXiv (Cornell University) · no summary yet**Daniel Dajun Zeng, Tailin Wu, Jure Leskovec*2022 · 2 citations*
399. **[ForceNet: A Graph Neural Network for Large-Scale Quantum Chemistry Simulation ↗](https://openalex.org/W3123726298) no summary yet**Weihua Hu et al.*2021 · 2 citations*
400. **[Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. ↗](https://openalex.org/W3083312194) no summary yet**Pan Li et al.*2020 · 2 citations*

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