Jure Leskovec

Jure Leskovec

Stanford University

H-index: 147

North America-United States

About Jure Leskovec

Jure Leskovec, With an exceptional h-index of 147 and a recent h-index of 124 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Data mining, Machine Learning, Graph Neural Networks, Knowledge Graphs, Complex Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

Generating neighborhood convolutions within a large network

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

Representation Learning for Frequent Subgraph Mining

Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Jure Leskovec Information

University

Position

Professor of Computer Science

Citations(all)

153927

Citations(since 2020)

103800

Cited By

83457

hIndex(all)

147

hIndex(since 2020)

124

i10Index(all)

345

i10Index(since 2020)

316

Email

University Profile Page

Google Scholar

Jure Leskovec Skills & Research Interests

Data mining

Machine Learning

Graph Neural Networks

Knowledge Graphs

Complex Networks

Top articles of Jure Leskovec

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

arXiv preprint arXiv:2404.13207

2024/4/19

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

arXiv preprint arXiv:2404.01340

2024/3/31

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

arXiv preprint arXiv:2404.00776

2024/3/31

Generating neighborhood convolutions within a large network

2024/3/5

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

arXiv preprint arXiv:2402.18697

2024/2/28

Representation Learning for Frequent Subgraph Mining

arXiv preprint arXiv:2402.14367

2024/2/22

Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

Nature Methods

2024/2/16

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

AAAI 2024

2024/2/13

High dimensional, tabular deep learning with an auxiliary knowledge graph

Advances in Neural Information Processing Systems

2024/2/13

Temporal graph benchmark for machine learning on temporal graphs

Advances in Neural Information Processing Systems

2024/2/13

Uncertainty quantification over graph with conformalized graph neural networks

Advances in Neural Information Processing Systems

2024/2/13

Prodigy: Enabling in-context learning over graphs

Advances in Neural Information Processing Systems

2024/2/13

Learning large graph property prediction via graph segment training

Advances in Neural Information Processing Systems

2024/2/13

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability

2023/9/22

Zero-shot causal learning

Advances in Neural Information Processing Systems

2024/2/13

Compositional Generative Inverse Design

2024/2/24

Equivariant Graph Neural Operator for Modeling 3D Dynamics

arXiv preprint arXiv:2401.11037

2024/1/19

TimeGraphs: Graph-based Temporal Reasoning

arXiv preprint arXiv:2401.03134

2024/1/6

Metric Mirages in Cell Embeddings

bioRxiv

2024

Hanchen Wang
Hanchen Wang

H-Index: 5

Jure Leskovec
Jure Leskovec

H-Index: 103

See List of Professors in Jure Leskovec University(Stanford University)

Co-Authors

academic-engine